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[
{
"_id": 0,
"text": "Minimally Supervised Learning of Affective Events Using Discourse Relations"
},
{
"_id": 1,
"text": "PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry"
},
{
"_id": 2,
"text": "Community Identity and User Engagement in a Multi-Community Landscape"
},
{
"_id": 3,
"text": "Question Answering based Clinical Text Structuring Using Pre-trained Language Model"
},
{
"_id": 4,
"text": "Progress and Tradeoffs in Neural Language Models"
},
{
"_id": 5,
"text": "Stay On-Topic: Generating Context-specific Fake Restaurant Reviews"
},
{
"_id": 6,
"text": "Saliency Maps Generation for Automatic Text Summarization"
},
{
"_id": 7,
"text": "Probabilistic Bias Mitigation in Word Embeddings"
},
{
"_id": 8,
"text": "Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yor\\`ub\\'a and Twi"
},
{
"_id": 9,
"text": "Is there Gender bias and stereotype in Portuguese Word Embeddings?"
},
{
"_id": 10,
"text": "Citation Data of Czech Apex Courts"
},
{
"_id": 11,
"text": "LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment"
},
{
"_id": 12,
"text": "Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision"
},
{
"_id": 13,
"text": "UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages"
},
{
"_id": 14,
"text": "Word Sense Disambiguation for 158 Languages using Word Embeddings Only"
},
{
"_id": 15,
"text": "Spoken Language Identification using ConvNets"
},
{
"_id": 16,
"text": "Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data"
},
{
"_id": 17,
"text": "AraNet: A Deep Learning Toolkit for Arabic Social Media"
},
{
"_id": 18,
"text": "Generative Adversarial Nets for Multiple Text Corpora"
},
{
"_id": 19,
"text": "Stacked DeBERT: All Attention in Incomplete Data for Text Classification"
},
{
"_id": 20,
"text": "Gunrock: A Social Bot for Complex and Engaging Long Conversations"
},
{
"_id": 21,
"text": "Towards Detection of Subjective Bias using Contextualized Word Embeddings"
},
{
"_id": 22,
"text": "Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!"
},
{
"_id": 23,
"text": "An empirical study on the effectiveness of images in Multimodal Neural Machine Translation"
},
{
"_id": 24,
"text": "Unsupervised Machine Commenting with Neural Variational Topic Model"
},
{
"_id": 25,
"text": "Enriching BERT with Knowledge Graph Embeddings for Document Classification"
},
{
"_id": 26,
"text": "Diachronic Topics in New High German Poetry"
},
{
"_id": 27,
"text": "Important Attribute Identification in Knowledge Graph"
},
{
"_id": 28,
"text": "Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections"
},
{
"_id": 29,
"text": "What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 1970-2016"
},
{
"_id": 30,
"text": "QnAMaker: Data to Bot in 2 Minutes"
},
{
"_id": 31,
"text": "A simple discriminative training method for machine translation with large-scale features"
},
{
"_id": 32,
"text": "Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses"
},
{
"_id": 33,
"text": "DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German"
},
{
"_id": 34,
"text": "Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects"
},
{
"_id": 35,
"text": "Procedural Reasoning Networks for Understanding Multimodal Procedures"
},
{
"_id": 36,
"text": "Active Learning for Chinese Word Segmentation in Medical Text"
},
{
"_id": 37,
"text": "InScript: Narrative texts annotated with script information"
},
{
"_id": 38,
"text": "Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications"
},
{
"_id": 39,
"text": "Learning Supervised Topic Models for Classification and Regression from Crowds"
},
{
"_id": 40,
"text": "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset"
},
{
"_id": 41,
"text": "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance"
},
{
"_id": 42,
"text": "Joint Entity Linking with Deep Reinforcement Learning"
},
{
"_id": 43,
"text": "Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b"
},
{
"_id": 44,
"text": "Marrying Universal Dependencies and Universal Morphology"
},
{
"_id": 45,
"text": "Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning"
},
{
"_id": 46,
"text": "Revisiting Low-Resource Neural Machine Translation: A Case Study"
},
{
"_id": 47,
"text": "Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian"
},
{
"_id": 48,
"text": "\"Hinglish\"Language -- Modeling a Messy Code-Mixed Language"
},
{
"_id": 49,
"text": "How Language-Neutral is Multilingual BERT?"
},
{
"_id": 50,
"text": "CAiRE: An End-to-End Empathetic Chatbot"
},
{
"_id": 51,
"text": "Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?"
},
{
"_id": 52,
"text": "Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference"
},
{
"_id": 53,
"text": "Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering"
},
{
"_id": 54,
"text": "SUM-QE: a BERT-based Summary Quality Estimation Model"
},
{
"_id": 55,
"text": "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction"
},
{
"_id": 56,
"text": "Machine Translation from Natural Language to Code using Long-Short Term Memory"
},
{
"_id": 57,
"text": "A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis"
},
{
"_id": 58,
"text": "Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study"
},
{
"_id": 59,
"text": "Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction"
},
{
"_id": 60,
"text": "Learning to Rank Scientific Documents from the Crowd"
},
{
"_id": 61,
"text": "Exploiting Deep Learning for Persian Sentiment Analysis"
},
{
"_id": 62,
"text": "Talk the Walk: Navigating New York City through Grounded Dialogue"
},
{
"_id": 63,
"text": "Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks"
},
{
"_id": 64,
"text": "RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension"
},
{
"_id": 65,
"text": "Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds"
},
{
"_id": 66,
"text": "Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding"
},
{
"_id": 67,
"text": "A Computational Approach to Automatic Prediction of Drunk Texting"
},
{
"_id": 68,
"text": "Answering Complex Questions Using Open Information Extraction"
},
{
"_id": 69,
"text": "An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages"
},
{
"_id": 70,
"text": "Quasar: Datasets for Question Answering by Search and Reading"
},
{
"_id": 71,
"text": "Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models"
},
{
"_id": 72,
"text": "Recurrent Neural Network Encoder with Attention for Community Question Answering"
},
{
"_id": 73,
"text": "Attentional Encoder Network for Targeted Sentiment Classification"
},
{
"_id": 74,
"text": "ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples"
},
{
"_id": 75,
"text": "DENS: A Dataset for Multi-class Emotion Analysis"
},
{
"_id": 76,
"text": "Multitask Learning with CTC and Segmental CRF for Speech Recognition"
},
{
"_id": 77,
"text": "Filling Gender&Number Gaps in Neural Machine Translation with Black-box Context Injection"
},
{
"_id": 78,
"text": "Exploring End-to-End Techniques for Low-Resource Speech Recognition"
},
{
"_id": 79,
"text": "Tag-based Multi-Span Extraction in Reading Comprehension"
},
{
"_id": 80,
"text": "Transfer Learning Between Related Tasks Using Expected Label Proportions"
},
{
"_id": 81,
"text": "The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection"
},
{
"_id": 82,
"text": "Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU"
},
{
"_id": 83,
"text": "Interactive Machine Comprehension with Information Seeking Agents"
},
{
"_id": 84,
"text": "Exploring Hate Speech Detection in Multimodal Publications"
},
{
"_id": 85,
"text": "Self-Taught Convolutional Neural Networks for Short Text Clustering"
},
{
"_id": 86,
"text": "Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations"
},
{
"_id": 87,
"text": "What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant"
},
{
"_id": 88,
"text": "A Measure of Similarity in Textual Data Using Spearman's Rank Correlation Coefficient"
},
{
"_id": 89,
"text": "CamemBERT: a Tasty French Language Model"
},
{
"_id": 90,
"text": "Vocabulary-based Method for Quantifying Controversy in Social Media"
},
{
"_id": 91,
"text": "Semantic Sentiment Analysis of Twitter Data"
},
{
"_id": 92,
"text": "COSTRA 1.0: A Dataset of Complex Sentence Transformations"
},
{
"_id": 93,
"text": "Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization"
},
{
"_id": 94,
"text": "A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking"
},
{
"_id": 95,
"text": "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding"
},
{
"_id": 96,
"text": "Learning with Noisy Labels for Sentence-level Sentiment Classification"
},
{
"_id": 97,
"text": "Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange"
},
{
"_id": 98,
"text": "CN-CELEB: a challenging Chinese speaker recognition dataset"
},
{
"_id": 99,
"text": "Conditional BERT Contextual Augmentation"
},
{
"_id": 100,
"text": "Recent Advances in Neural Question Generation"
},
{
"_id": 101,
"text": "Open Named Entity Modeling from Embedding Distribution"
},
{
"_id": 102,
"text": "Efficient Twitter Sentiment Classification using Subjective Distant Supervision"
},
{
"_id": 103,
"text": "Dynamic Memory Networks for Visual and Textual Question Answering"
},
{
"_id": 104,
"text": "Low-Level Linguistic Controls for Style Transfer and Content Preservation"
},
{
"_id": 105,
"text": "Fusing Visual, Textual and Connectivity Clues for Studying Mental Health"
},
{
"_id": 106,
"text": "Incorporating Sememes into Chinese Definition Modeling"
},
{
"_id": 107,
"text": "RobBERT: a Dutch RoBERTa-based Language Model"
},
{
"_id": 108,
"text": "Natural Language State Representation for Reinforcement Learning"
},
{
"_id": 109,
"text": "Query-oriented text summarization based on hypergraph transversals"
},
{
"_id": 110,
"text": "Text-based inference of moral sentiment change"
},
{
"_id": 111,
"text": "Bringing Stories Alive: Generating Interactive Fiction Worlds"
},
{
"_id": 112,
"text": "Generating Classical Chinese Poems from Vernacular Chinese"
},
{
"_id": 113,
"text": "Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever"
},
{
"_id": 114,
"text": "From FiLM to Video: Multi-turn Question Answering with Multi-modal Context"
},
{
"_id": 115,
"text": "Civique: Using Social Media to Detect Urban Emergencies"
},
{
"_id": 116,
"text": "Can neural networks understand monotonicity reasoning?"
},
{
"_id": 117,
"text": "Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators."
},
{
"_id": 118,
"text": "Synchronising audio and ultrasound by learning cross-modal embeddings"
},
{
"_id": 119,
"text": "Basic tasks of sentiment analysis"
},
{
"_id": 120,
"text": "Generalisation in Named Entity Recognition: A Quantitative Analysis"
},
{
"_id": 121,
"text": "wav2vec: Unsupervised Pre-training for Speech Recognition"
},
{
"_id": 122,
"text": "Cross-lingual, Character-Level Neural Morphological Tagging"
},
{
"_id": 123,
"text": "Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping"
},
{
"_id": 124,
"text": "Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities"
},
{
"_id": 125,
"text": "Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation"
},
{
"_id": 126,
"text": "Analysis of Risk Factor Domains in Psychosis Patient Health Records"
},
{
"_id": 127,
"text": "Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation"
},
{
"_id": 128,
"text": "Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks"
},
{
"_id": 129,
"text": "Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge"
},
{
"_id": 130,
"text": "How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages"
},
{
"_id": 131,
"text": "Dense Information Flow for Neural Machine Translation"
},
{
"_id": 132,
"text": "Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text"
},
{
"_id": 133,
"text": "Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism"
},
{
"_id": 134,
"text": "Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation"
},
{
"_id": 135,
"text": "Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization"
},
{
"_id": 136,
"text": "A Simple Method for Commonsense Reasoning"
},
{
"_id": 137,
"text": "Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology"
},
{
"_id": 138,
"text": "Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study"
},
{
"_id": 139,
"text": "Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation"
},
{
"_id": 140,
"text": "Deep Enhanced Representation for Implicit Discourse Relation Recognition"
},
{
"_id": 141,
"text": "Detecting Potential Topics In News Using BERT, CRF and Wikipedia"
},
{
"_id": 142,
"text": "Gender Bias in Coreference Resolution"
},
{
"_id": 143,
"text": "How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context"
},
{
"_id": 144,
"text": "A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis"
},
{
"_id": 145,
"text": "HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization"
},
{
"_id": 146,
"text": "Shallow Discourse Annotation for Chinese TED Talks"
},
{
"_id": 147,
"text": "The Role of Pragmatic and Discourse Context in Determining Argument Impact"
},
{
"_id": 148,
"text": "Textual Data for Time Series Forecasting"
},
{
"_id": 149,
"text": "Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis"
},
{
"_id": 150,
"text": "Mapping (Dis-)Information Flow about the MH17 Plane Crash"
},
{
"_id": 151,
"text": "Conversational Intent Understanding for Passengers in Autonomous Vehicles"
},
{
"_id": 152,
"text": "Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models"
},
{
"_id": 153,
"text": "Predictive Embeddings for Hate Speech Detection on Twitter"
},
{
"_id": 154,
"text": "Incorporating Discrete Translation Lexicons into Neural Machine Translation"
},
{
"_id": 155,
"text": "Crowdsourcing a High-Quality Gold Standard for QA-SRL"
},
{
"_id": 156,
"text": "Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation"
},
{
"_id": 157,
"text": "An Analysis of Visual Question Answering Algorithms"
},
{
"_id": 158,
"text": "Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration"
},
{
"_id": 159,
"text": "Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation"
},
{
"_id": 160,
"text": "A framework for anomaly detection using language modeling, and its applications to finance"
},
{
"_id": 161,
"text": "What Gets Echoed? Understanding the\"Pointers\"in Explanations of Persuasive Arguments"
},
{
"_id": 162,
"text": "Automating Reading Comprehension by Generating Question and Answer Pairs"
},
{
"_id": 163,
"text": "Automatic Reminiscence Therapy for Dementia."
},
{
"_id": 164,
"text": "Lattice CNNs for Matching Based Chinese Question Answering"
},
{
"_id": 165,
"text": "On the coexistence of competing languages"
},
{
"_id": 166,
"text": "Speaker-independent classification of phonetic segments from raw ultrasound in child speech"
},
{
"_id": 167,
"text": "A Multi-Turn Emotionally Engaging Dialog Model"
},
{
"_id": 168,
"text": "Information Extraction in Illicit Domains"
},
{
"_id": 169,
"text": "Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data"
},
{
"_id": 170,
"text": "Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining"
},
{
"_id": 171,
"text": "Testing the Generalization Power of Neural Network Models Across NLI Benchmarks"
},
{
"_id": 172,
"text": "VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination"
},
{
"_id": 173,
"text": "Yoga-Veganism: Correlation Mining of Twitter Health Data"
},
{
"_id": 174,
"text": "Joint Learning of Sentence Embeddings for Relevance and Entailment"
},
{
"_id": 175,
"text": "MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning"
},
{
"_id": 176,
"text": "Aspect Term Extraction with History Attention and Selective Transformation"
},
{
"_id": 177,
"text": "Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset"
},
{
"_id": 178,
"text": "Using word embeddings to improve the discriminability of co-occurrence text networks"
},
{
"_id": 179,
"text": "e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations"
},
{
"_id": 180,
"text": "An Analysis of Word2Vec for the Italian Language"
},
{
"_id": 181,
"text": "Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation"
},
{
"_id": 182,
"text": "Learning Twitter User Sentiments on Climate Change with Limited Labeled Data"
},
{
"_id": 183,
"text": "A multimodal deep learning approach for named entity recognition from social media"
},
{
"_id": 184,
"text": "Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization"
},
{
"_id": 185,
"text": "Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding"
},
{
"_id": 186,
"text": "Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models"
},
{
"_id": 187,
"text": "What we write about when we write about causality: Features of causal statements across large-scale social discourse"
},
{
"_id": 188,
"text": "Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering"
},
{
"_id": 189,
"text": "Unsupervised Ranking Model for Entity Coreference Resolution"
},
{
"_id": 190,
"text": "The First Evaluation of Chinese Human-Computer Dialogue Technology"
},
{
"_id": 191,
"text": "Multi-style Generative Reading Comprehension"
},
{
"_id": 192,
"text": "A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading"
},
{
"_id": 193,
"text": "Dissecting Content and Context in Argumentative Relation Analysis"
},
{
"_id": 194,
"text": "Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?"
},
{
"_id": 195,
"text": "A New Corpus for Low-Resourced Sindhi Language with Word Embeddings"
},
{
"_id": 196,
"text": "The Wiki Music dataset: A tool for computational analysis of popular music"
},
{
"_id": 197,
"text": "An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines"
},
{
"_id": 198,
"text": "Style Transfer for Texts: to Err is Human, but Error Margins Matter"
},
{
"_id": 199,
"text": "Efficient Attention using a Fixed-Size Memory Representation"
},
{
"_id": 200,
"text": "Duality Regularization for Unsupervised Bilingual Lexicon Induction"
},
{
"_id": 201,
"text": "Team Papelo: Transformer Networks at FEVER"
},
{
"_id": 202,
"text": "Automatic Differentiation in ROOT"
},
{
"_id": 203,
"text": "Controlling the Output Length of Neural Machine Translation"
},
{
"_id": 204,
"text": "Spectral decomposition method of dialog state tracking via collective matrix factorization"
},
{
"_id": 205,
"text": "Torch-Struct: Deep Structured Prediction Library"
},
{
"_id": 206,
"text": "Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study"
},
{
"_id": 207,
"text": "Improving Open Information Extraction via Iterative Rank-Aware Learning"
},
{
"_id": 208,
"text": "Character-Centric Storytelling"
},
{
"_id": 209,
"text": "Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling"
},
{
"_id": 210,
"text": "Automatic Target Recovery for Hindi-English Code Mixed Puns"
},
{
"_id": 211,
"text": "CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues"
},
{
"_id": 212,
"text": "Detecting Online Hate Speech Using Context Aware Models"
},
{
"_id": 213,
"text": "Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation"
},
{
"_id": 214,
"text": "Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling"
},
{
"_id": 215,
"text": "Boosting Question Answering by Deep Entity Recognition"
},
{
"_id": 216,
"text": "Polysemy Detection in Distributed Representation of Word Sense"
},
{
"_id": 217,
"text": "Neural Domain Adaptation for Biomedical Question Answering"
},
{
"_id": 218,
"text": "Classifying topics in speech when all you have is crummy translations."
},
{
"_id": 219,
"text": "Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT"
},
{
"_id": 220,
"text": "A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data"
},
{
"_id": 221,
"text": "Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction"
},
{
"_id": 222,
"text": "'Warriors of the Word' -- Deciphering Lyrical Topics in Music and Their Connection to Audio Feature Dimensions Based on a Corpus of Over 100,000 Metal Songs"
},
{
"_id": 223,
"text": "Abstractive Dialog Summarization with Semantic Scaffolds"
},
{
"_id": 224,
"text": "CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning"
},
{
"_id": 225,
"text": "MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension"
},
{
"_id": 226,
"text": "Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks"
},
{
"_id": 227,
"text": "RelNet: End-to-End Modeling of Entities & Relations"
},
{
"_id": 228,
"text": "Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder"
},
{
"_id": 229,
"text": "Comparing Human and Machine Errors in Conversational Speech Transcription"
},
{
"_id": 230,
"text": "An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation"
},
{
"_id": 231,
"text": "Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue"
},
{
"_id": 232,
"text": "Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources"
},
{
"_id": 233,
"text": "Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches"
},
{
"_id": 234,
"text": "Semantic Holism and Word Representations in Artificial Neural Networks"
},
{
"_id": 235,
"text": "Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing"
},
{
"_id": 236,
"text": "Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter"
},
{
"_id": 237,
"text": "Rethinking travel behavior modeling representations through embeddings"
},
{
"_id": 238,
"text": "Sex Trafficking Detection with Ordinal Regression Neural Networks"
},
{
"_id": 239,
"text": "Modeling Trolling in Social Media Conversations"
},
{
"_id": 240,
"text": "Measuring Compositional Generalization: A Comprehensive Method on Realistic Data"
},
{
"_id": 241,
"text": "Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data"
},
{
"_id": 242,
"text": "FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow"
},
{
"_id": 243,
"text": "On Leveraging the Visual Modality for Neural Machine Translation"
},
{
"_id": 244,
"text": "Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games"
},
{
"_id": 245,
"text": "A Set of Recommendations for Assessing Human-Machine Parity in Language Translation"
},
{
"_id": 246,
"text": "StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization"
},
{
"_id": 247,
"text": "Effective Use of Transformer Networks for Entity Tracking"
},
{
"_id": 248,
"text": "Recognizing Musical Entities in User-generated Content"
},
{
"_id": 249,
"text": "MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge"
},
{
"_id": 250,
"text": "Bias in Semantic and Discourse Interpretation"
},
{
"_id": 251,
"text": "A Swiss German Dictionary: Variation in Speech and Writing"
},
{
"_id": 252,
"text": "QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships"
},
{
"_id": 253,
"text": "Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances"
},
{
"_id": 254,
"text": "Sentiment Analysis of Citations Using Word2vec"
},
{
"_id": 255,
"text": "Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches"
},
{
"_id": 256,
"text": "Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts"
},
{
"_id": 257,
"text": "Semantic Document Distance Measures and Unsupervised Document Revision Detection"
},
{
"_id": 258,
"text": "Multi-Task Bidirectional Transformer Representations for Irony Detection"
},
{
"_id": 259,
"text": "Evaluating Rewards for Question Generation Models"
},
{
"_id": 260,
"text": "Gated Convolutional Neural Networks for Domain Adaptation"
},
{
"_id": 261,
"text": "Deep contextualized word representations for detecting sarcasm and irony"
},
{
"_id": 262,
"text": "SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering"
},
{
"_id": 263,
"text": "Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data"
},
{
"_id": 264,
"text": "Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction"
},
{
"_id": 265,
"text": "Attending to Characters in Neural Sequence Labeling Models"
},
{
"_id": 266,
"text": "Analysing Coreference in Transformer Outputs"
},
{
"_id": 267,
"text": "Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space"
},
{
"_id": 268,
"text": "NumNet: Machine Reading Comprehension with Numerical Reasoning"
},
{
"_id": 269,
"text": "Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding"
},
{
"_id": 270,
"text": "Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks"
},
{
"_id": 271,
"text": "Subword-augmented Embedding for Cloze Reading Comprehension"
},
{
"_id": 272,
"text": "Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset"
},
{
"_id": 273,
"text": "Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities"
},
{
"_id": 274,
"text": "Neural Language Modeling by Jointly Learning Syntax and Lexicon"
},
{
"_id": 275,
"text": "Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records"
},
{
"_id": 276,
"text": "Question Answering from Unstructured Text by Retrieval and Comprehension"
},
{
"_id": 277,
"text": "UDS--DFKI Submission to the WMT2019 Similar Language Translation Shared Task"
},
{
"_id": 278,
"text": "Exploration on Generating Traditional Chinese Medicine Prescriptions from Symptoms with an End-to-End Approach"
},
{
"_id": 279,
"text": "Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter"
},
{
"_id": 280,
"text": "QA4IE: A Question Answering based Framework for Information Extraction"
},
{
"_id": 281,
"text": "A Resource for Studying Chatino Verbal Morphology"
},
{
"_id": 282,
"text": "N-GrAM: New Groningen Author-profiling Model"
},
{
"_id": 283,
"text": "Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device"
},
{
"_id": 284,
"text": "Nefnir: A high accuracy lemmatizer for Icelandic"
},
{
"_id": 285,
"text": "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"
},
{
"_id": 286,
"text": "Efficient Vector Representation for Documents through Corruption"
},
{
"_id": 287,
"text": "Microsoft Research Asia's Systems for WMT19"
},
{
"_id": 288,
"text": "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer"
},
{
"_id": 289,
"text": "Evaluation of basic modules for isolated spelling error correction in Polish texts"
},
{
"_id": 290,
"text": "Few-shot Natural Language Generation for Task-Oriented Dialog"
},
{
"_id": 291,
"text": "Using Whole Document Context in Neural Machine Translation"
},
{
"_id": 292,
"text": "Finding Street Gang Members on Twitter"
},
{
"_id": 293,
"text": "A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts"
},
{
"_id": 294,
"text": "An Emotional Analysis of False Information in Social Media and News Articles"
},
{
"_id": 295,
"text": "STransE: a novel embedding model of entities and relationships in knowledge bases"
},
{
"_id": 296,
"text": "Doc2Vec on the PubMed corpus: study of a new approach to generate related articles"
},
{
"_id": 297,
"text": "Multi-Perspective Fusion Network for Commonsense Reading Comprehension"
},
{
"_id": 298,
"text": "Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks"
},
{
"_id": 299,
"text": "Consistency of a Recurrent Language Model With Respect to Incomplete Decoding"
},
{
"_id": 300,
"text": "Modality-Balanced Models for Visual Dialogue"
},
{
"_id": 301,
"text": "Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction"
},
{
"_id": 302,
"text": "RTFM: Generalising to Novel Environment Dynamics via Reading"
},
{
"_id": 303,
"text": "ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering"
},
{
"_id": 304,
"text": "Improving Span-based Question Answering Systems with Coarsely Labeled Data"
},
{
"_id": 305,
"text": "AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion"
},
{
"_id": 306,
"text": "Revealing the Dark Secrets of BERT"
},
{
"_id": 307,
"text": "Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis"
},
{
"_id": 308,
"text": "Generaci\\'on autom\\'atica de frases literarias en espa\\~nol"
},
{
"_id": 309,
"text": "Language-Agnostic Syllabification with Neural Sequence Labeling"
},
{
"_id": 310,
"text": "A Latent Morphology Model for Open-Vocabulary Neural Machine Translation"
},
{
"_id": 311,
"text": "An Incremental Parser for Abstract Meaning Representation"
},
{
"_id": 312,
"text": "Multilingual Speech Recognition with Corpus Relatedness Sampling"
},
{
"_id": 313,
"text": "Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation"
},
{
"_id": 314,
"text": "Quantifying Similarity between Relations with Fact Distribution"
},
{
"_id": 315,
"text": "The emergent algebraic structure of RNNs and embeddings in NLP"
},
{
"_id": 316,
"text": "Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300"
},
{
"_id": 317,
"text": "Common Voice: A Massively-Multilingual Speech Corpus"
},
{
"_id": 318,
"text": "Weakly Supervised Domain Detection"
},
{
"_id": 319,
"text": "Harry Potter and the Action Prediction Challenge from Natural Language"
},
{
"_id": 320,
"text": "Finding Dominant User Utterances And System Responses in Conversations"
},
{
"_id": 321,
"text": "Ask the Right Questions: Active Question Reformulation with Reinforcement Learning"
},
{
"_id": 322,
"text": "Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims"
},
{
"_id": 323,
"text": "Pay More Attention - Neural Architectures for Question-Answering"
},
{
"_id": 324,
"text": "Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue"
},
{
"_id": 325,
"text": "Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network"
},
{
"_id": 326,
"text": "A Robust Hybrid Approach for Textual Document Classification"
},
{
"_id": 327,
"text": "AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses"
},
{
"_id": 328,
"text": "Generative Dialog Policy for Task-oriented Dialog Systems"
},
{
"_id": 329,
"text": "Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding"
},
{
"_id": 330,
"text": "Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM"
},
{
"_id": 331,
"text": "Bridging the Gap for Tokenizer-Free Language Models"
},
{
"_id": 332,
"text": "Features in Extractive Supervised Single-document Summarization: Case of Persian News"
},
{
"_id": 333,
"text": "Dreaddit: A Reddit Dataset for Stress Analysis in Social Media"
},
{
"_id": 334,
"text": "Corporate IT-Support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach"
},
{
"_id": 335,
"text": "\"How May I Help You?\": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts"
},
{
"_id": 336,
"text": "Building a Neural Machine Translation System Using Only Synthetic Parallel Data"
},
{
"_id": 337,
"text": "Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media"
},
{
"_id": 338,
"text": "SIM: A Slot-Independent Neural Model for Dialogue State Tracking"
},
{
"_id": 339,
"text": "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss"
},
{
"_id": 340,
"text": "Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning"
},
{
"_id": 341,
"text": "How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?"
},
{
"_id": 342,
"text": "A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter"
},
{
"_id": 343,
"text": "Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction"
},
{
"_id": 344,
"text": "Empirical Gaussian priors for cross-lingual transfer learning"
},
{
"_id": 345,
"text": "Variational Transformers for Diverse Response Generation"
},
{
"_id": 346,
"text": "Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER"
},
{
"_id": 347,
"text": "Language Transfer for Early Warning of Epidemics from Social Media"
},
{
"_id": 348,
"text": "Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks"
},
{
"_id": 349,
"text": "Back Attention Knowledge Transfer for Low-resource Named Entity Recognition"
},
{
"_id": 350,
"text": "Multilingual Graphemic Hybrid ASR with Massive Data Augmentation"
},
{
"_id": 351,
"text": "HateMonitors: Language Agnostic Abuse Detection in Social Media"
},
{
"_id": 352,
"text": "Fast Multi-language LSTM-based Online Handwriting Recognition"
},
{
"_id": 353,
"text": "BERT has a Moral Compass: Improvements of ethical and moral values of machines"
},
{
"_id": 354,
"text": "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation"
},
{
"_id": 355,
"text": "Incorporating Priors with Feature Attribution on Text Classification"
},
{
"_id": 356,
"text": "A Density Ratio Approach to Language Model Fusion in End-to-End Automatic Speech Recognition"
},
{
"_id": 357,
"text": "Measuring Conversational Fluidity in Automated Dialogue Agents"
},
{
"_id": 358,
"text": "Attention Is (not) All You Need for Commonsense Reasoning"
},
{
"_id": 359,
"text": "Incorporating Structured Commonsense Knowledge in Story Completion"
},
{
"_id": 360,
"text": "On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation"
},
{
"_id": 361,
"text": "Seshat: A tool for managing and verifying annotation campaigns of audio data"
},
{
"_id": 362,
"text": "Discriminating between similar languages in Twitter using label propagation"
},
{
"_id": 363,
"text": "BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs"
},
{
"_id": 364,
"text": "Classifying movie genres by analyzing text reviews"
},
{
"_id": 365,
"text": "News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition"
},
{
"_id": 366,
"text": "Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets"
},
{
"_id": 367,
"text": "AMR-to-text Generation with Synchronous Node Replacement Grammar"
},
{
"_id": 368,
"text": "MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification"
},
{
"_id": 369,
"text": "Hooks in the Headline: Learning to Generate Headlines with Controlled Styles"
},
{
"_id": 370,
"text": "Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling"
},
{
"_id": 371,
"text": "Towards Language Agnostic Universal Representations"
},
{
"_id": 372,
"text": "Is preprocessing of text really worth your time for online comment classification?"
},
{
"_id": 373,
"text": "Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks"
},
{
"_id": 374,
"text": "Zero-Shot Paraphrase Generation with Multilingual Language Models"
},
{
"_id": 375,
"text": "WiSeBE: Window-based Sentence Boundary Evaluation"
},
{
"_id": 376,
"text": "Adversarial Examples with Difficult Common Words for Paraphrase Identification"
},
{
"_id": 377,
"text": "Gender Representation in Open Source Speech Resources"
},
{
"_id": 378,
"text": "A Neural Approach to Discourse Relation Signal Detection"
},
{
"_id": 379,
"text": "Citation Text Generation"
},
{
"_id": 380,
"text": "Machine Translation with Cross-lingual Word Embeddings"
},
{
"_id": 381,
"text": "Meteorologists and Students: A resource for language grounding of geographical descriptors"
},
{
"_id": 382,
"text": "SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats"
},
{
"_id": 383,
"text": "Mixed Membership Word Embeddings for Computational Social Science"
},
{
"_id": 384,
"text": "Multimodal Differential Network for Visual Question Generation"
},
{
"_id": 385,
"text": "CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation"
},
{
"_id": 386,
"text": "#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media"
},
{
"_id": 387,
"text": "S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension"
},
{
"_id": 388,
"text": "IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets"
},
{
"_id": 389,
"text": "Asking and Answering Questions to Evaluate the Factual Consistency of Summaries"
},
{
"_id": 390,
"text": "Deep Text-to-Speech System with Seq2Seq Model"
},
{
"_id": 391,
"text": "Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach"
},
{
"_id": 392,
"text": "Build Fast and Accurate Lemmatization for Arabic"
},
{
"_id": 393,
"text": "Joint Contextual Modeling for ASR Correction and Language Understanding"
},
{
"_id": 394,
"text": "Many Languages, One Parser"
},
{
"_id": 395,
"text": "Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models"
},
{
"_id": 396,
"text": "Story Ending Generation with Incremental Encoding and Commonsense Knowledge"
},
{
"_id": 397,
"text": "Dataset for the First Evaluation on Chinese Machine Reading Comprehension"
},
{
"_id": 398,
"text": "Joint learning of ontology and semantic parser from text"
},
{
"_id": 399,
"text": "A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models"
},
{
"_id": 400,
"text": "Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis"
},
{
"_id": 401,
"text": "The State of NLP Literature: A Diachronic Analysis of the ACL Anthology"
},
{
"_id": 402,
"text": "BERTQA -- Attention on Steroids"
},
{
"_id": 403,
"text": "Non-Parametric Adaptation for Neural Machine Translation"
},
{
"_id": 404,
"text": "Multichannel Variable-Size Convolution for Sentence Classification"
},
{
"_id": 405,
"text": "Constructing a Natural Language Inference Dataset using Generative Neural Networks"
},
{
"_id": 406,
"text": "BERT-Based Arabic Social Media Author Profiling"
},
{
"_id": 407,
"text": "Data Innovation for International Development: An overview of natural language processing for qualitative data analysis"
},
{
"_id": 408,
"text": "Empirical Study on Detecting Controversy in Social Media"
},
{
"_id": 409,
"text": "Humor Detection: A Transformer Gets the Last Laugh"
},
{
"_id": 410,
"text": "Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments"
},
{
"_id": 411,
"text": "Question Answering by Reasoning Across Documents with Graph Convolutional Networks"
},
{
"_id": 412,
"text": "Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection"
},
{
"_id": 413,
"text": "Multi-attention Recurrent Network for Human Communication Comprehension"
},
{
"_id": 414,
"text": "The Effect of Context on Metaphor Paraphrase Aptness Judgments"
},
{
"_id": 415,
"text": "Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers"
},
{
"_id": 416,
"text": "Compositional Neural Machine Translation by Removing the Lexicon from Syntax"
},
{
"_id": 417,
"text": "Mind Your Language: Abuse and Offense Detection for Code-Switched Languages"
},
{
"_id": 418,
"text": "$\\rho$-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis"
},
{
"_id": 419,
"text": "Unsupervised Pre-training for Natural Language Generation: A Literature Review"
},
{
"_id": 420,
"text": "Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline"
},
{
"_id": 421,
"text": "Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation"
},
{
"_id": 422,
"text": "We Built a Fake News&Click-bait Filter: What Happened Next Will Blow Your Mind!"
},
{
"_id": 423,
"text": "Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?"
},
{
"_id": 424,
"text": "Open Information Extraction on Scientific Text: An Evaluation"
},
{
"_id": 425,
"text": "RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation"
},
{
"_id": 426,
"text": "Semi-supervised sequence tagging with bidirectional language models"
},
{
"_id": 427,
"text": "Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery"
},
{
"_id": 428,
"text": "Inducing Interpretability in Knowledge Graph Embeddings"
},
{
"_id": 429,
"text": "CA-EHN: Commonsense Word Analogy from E-HowNet"
},
{
"_id": 430,
"text": "Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking"
},
{
"_id": 431,
"text": "Semantic Enrichment of Streaming Healthcare Data"
},
{
"_id": 432,
"text": "Question Generation by Transformers"
},
{
"_id": 433,
"text": "TutorialVQA: Question Answering Dataset for Tutorial Videos"
},
{
"_id": 434,
"text": "A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction"
},
{
"_id": 435,
"text": "Construction of a Japanese Word Similarity Dataset"
},
{
"_id": 436,
"text": "Towards Neural Language Evaluators"
},
{
"_id": 437,
"text": "Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering"
},
{
"_id": 438,
"text": "Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations"
},
{
"_id": 439,
"text": "Natural- to formal-language generation using Tensor Product Representations"
},
{
"_id": 440,
"text": "Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition"
},
{
"_id": 441,
"text": "Select and Attend: Towards Controllable Content Selection in Text Generation"
},
{
"_id": 442,
"text": "Review Conversational Reading Comprehension"
},
{
"_id": 443,
"text": "Human Languages in Source Code: Auto-Translation for Localized Instruction"
},
{
"_id": 444,
"text": "Schema-Guided Dialogue State Tracking Task at DSTC8"
},
{
"_id": 445,
"text": "A Simple Approach to Multilingual Polarity Classification in Twitter"
},
{
"_id": 446,
"text": "Markov Chain Monte-Carlo Phylogenetic Inference Construction in Computational Historical Linguistics"
},
{
"_id": 447,
"text": "Phonetic Temporal Neural Model for Language Identification"
},
{
"_id": 448,
"text": "On Evaluating the Generalization of LSTM Models in Formal Languages"
},
{
"_id": 449,
"text": "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"
},
{
"_id": 450,
"text": "Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation"
},
{
"_id": 451,
"text": "Representation Learning for Discovering Phonemic Tone Contours"
},
{
"_id": 452,
"text": "Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features"
},
{
"_id": 453,
"text": "Irony Detection in a Multilingual Context"
},
{
"_id": 454,
"text": "Deep Health Care Text Classification"
},
{
"_id": 455,
"text": "A Novel ILP Framework for Summarizing Content with High Lexical Variety"
},
{
"_id": 456,
"text": "Word Embeddings to Enhance Twitter Gang Member Profile Identification"
},
{
"_id": 457,
"text": "A Byte-sized Approach to Named Entity Recognition"
},
{
"_id": 458,
"text": "The Intelligent Voice 2016 Speaker Recognition System"
},
{
"_id": 459,
"text": "Synonym Discovery with Etymology-based Word Embeddings"
},
{
"_id": 460,
"text": "Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge"
},
{
"_id": 461,
"text": "Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering"
},
{
"_id": 462,
"text": "Unsupervised Question Decomposition for Question Answering"
},
{
"_id": 463,
"text": "Simultaneous Neural Machine Translation using Connectionist Temporal Classification"
},
{
"_id": 464,
"text": "Data Interpretation over Plots"
},
{
"_id": 465,
"text": "Sentiment Analysis for Twitter : Going Beyond Tweet Text"
},
{
"_id": 466,
"text": "Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?"
},
{
"_id": 467,
"text": "Large Arabic Twitter Dataset on COVID-19"
},
{
"_id": 468,
"text": "Event detection in Twitter: A keyword volume approach"
},
{
"_id": 469,
"text": "Analysis of Speeches in Indian Parliamentary Debates"
},
{
"_id": 470,
"text": "BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations"
},
{
"_id": 471,
"text": "Facet-Aware Evaluation for Extractive Text Summarization"
},
{
"_id": 472,
"text": "Leveraging Discourse Information Effectively for Authorship Attribution"
},
{
"_id": 473,
"text": "Towards Neural Theorem Proving at Scale"
},
{
"_id": 474,
"text": "Neural Word Segmentation with Rich Pretraining"
},
{
"_id": 475,
"text": "Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models"
},
{
"_id": 476,
"text": "Learning to Ask Unanswerable Questions for Machine Reading Comprehension"
},
{
"_id": 477,
"text": "Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF"
},
{
"_id": 478,
"text": "Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language"
},
{
"_id": 479,
"text": "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale"
},
{
"_id": 480,
"text": "Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks"
},
{
"_id": 481,
"text": "Katecheo: A Portable and Modular System for Multi-Topic Question Answering"
},
{
"_id": 482,
"text": "Transductive Learning with String Kernels for Cross-Domain Text Classification"
},
{
"_id": 483,
"text": "Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks"
},
{
"_id": 484,
"text": "Named Entity Recognition with Partially Annotated Training Data"
},
{
"_id": 485,
"text": "End-to-End Speech Recognition: A review for the French Language"
},
{
"_id": 486,
"text": "Analyzing Word Translation of Transformer Layers"
},
{
"_id": 487,
"text": "MedDialog: A Large-scale Medical Dialogue Dataset"
},
{
"_id": 488,
"text": "Learning to Automatically Generate Fill-In-The-Blank Quizzes"
},
{
"_id": 489,
"text": "Fast Domain Adaptation for Neural Machine Translation"
},
{
"_id": 490,
"text": "The Grail theorem prover: Type theory for syntax and semantics"
},
{
"_id": 491,
"text": "A Joint Model for Question Answering and Question Generation"
},
{
"_id": 492,
"text": "Word Embeddings via Tensor Factorization"
},
{
"_id": 493,
"text": "Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining"
},
{
"_id": 494,
"text": "Towards Real-Time, Country-Level Location Classification of Worldwide Tweets"
},
{
"_id": 495,
"text": "Open Information Extraction from Question-Answer Pairs"
},
{
"_id": 496,
"text": "Flexibly-Structured Model for Task-Oriented Dialogues"
},
{
"_id": 497,
"text": "Latent Multi-task Architecture Learning"
},
{
"_id": 498,
"text": "Integration of Japanese Papers Into the DBLP Data Set"
},
{
"_id": 499,
"text": "Evaluating the Performance of a Speech Recognition based System"
},
{
"_id": 500,
"text": "Systematic Generalization: What Is Required and Can It Be Learned?"
},
{
"_id": 501,
"text": "Char-RNN and Active Learning for Hashtag Segmentation"
},
{
"_id": 502,
"text": "Generating Narrative Text in a Switching Dynamical System"
},
{
"_id": 503,
"text": "Learning Explicit and Implicit Structures for Targeted Sentiment Analysis"
},
{
"_id": 504,
"text": "End-to-End Information Extraction without Token-Level Supervision"
},
{
"_id": 505,
"text": "Recurrently Controlled Recurrent Networks"
},
{
"_id": 506,
"text": "End-to-End Multi-View Networks for Text Classification"
},
{
"_id": 507,
"text": "On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study"
},
{
"_id": 508,
"text": "Experiments in Cuneiform Language Identification"
},
{
"_id": 509,
"text": "Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction"
},
{
"_id": 510,
"text": "Improving Information Retrieval Results for Persian Documents using FarsNet"
},
{
"_id": 511,
"text": "Vietnamese Open Information Extraction"
},
{
"_id": 512,
"text": "Excitation-based Voice Quality Analysis and Modification"
},
{
"_id": 513,
"text": "TLT-school: a Corpus of Non Native Children Speech"
},
{
"_id": 514,
"text": "Efficient Summarization with Read-Again and Copy Mechanism"
},
{
"_id": 515,
"text": "Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion"
},
{
"_id": 516,
"text": "CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding"
},
{
"_id": 517,
"text": "\"What is Relevant in a Text Document?\": An Interpretable Machine Learning Approach"
},
{
"_id": 518,
"text": "Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines"
},
{
"_id": 519,
"text": "BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions"
},
{
"_id": 520,
"text": "Database of Parliamentary Speeches in Ireland, 1919-2013"
},
{
"_id": 521,
"text": "A Lightweight Front-end Tool for Interactive Entity Population"
},
{
"_id": 522,
"text": "User Generated Data: Achilles' heel of BERT"
},
{
"_id": 523,
"text": "Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning"
},
{
"_id": 524,
"text": "Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis"
},
{
"_id": 525,
"text": "Video Highlight Prediction Using Audience Chat Reactions"
},
{
"_id": 526,
"text": "Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables"
},
{
"_id": 527,
"text": "Creation of an Annotated Corpus of Spanish Radiology Reports"
},
{
"_id": 528,
"text": "DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News"
},
{
"_id": 529,
"text": "Compositional generalization in a deep seq2seq model by separating syntax and semantics"
},
{
"_id": 530,
"text": "Effectiveness of self-supervised pre-training for speech recognition"
},
{
"_id": 531,
"text": "Cooperative Learning of Disjoint Syntax and Semantics"
},
{
"_id": 532,
"text": "Non-native Speaker Verification for Spoken Language Assessment"
},
{
"_id": 533,
"text": "Domain Adaptation for Neural Networks by Parameter Augmentation"
},
{
"_id": 534,
"text": "Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns"
},
{
"_id": 535,
"text": "Learning to Compose Neural Networks for Question Answering"
},
{
"_id": 536,
"text": "The Evolved Transformer"
},
{
"_id": 537,
"text": "MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity"
},
{
"_id": 538,
"text": "Question Dependent Recurrent Entity Network for Question Answering"
},
{
"_id": 539,
"text": "Smarnet: Teaching Machines to Read and Comprehend Like Human"
},
{
"_id": 540,
"text": "Pre-Translation for Neural Machine Translation"
},
{
"_id": 541,
"text": "Developing a Fine-Grained Corpus for a Less-resourced Language: the case of Kurdish"
},
{
"_id": 542,
"text": "Automatic Language Identification in Texts: A Survey"
},
{
"_id": 543,
"text": "HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews"
},
{
"_id": 544,
"text": "Cross-Lingual Adaptation Using Universal Dependencies"
},
{
"_id": 545,
"text": "End-to-End Streaming Keyword Spotting"
},
{
"_id": 546,
"text": "Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning"
},
{
"_id": 547,
"text": "Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\\`ub\\'a"
},
{
"_id": 548,
"text": "Monitoring stance towards vaccination in twitter messages"
},
{
"_id": 549,
"text": "Cross-Lingual Machine Reading Comprehension"
},
{
"_id": 550,
"text": "Modeling Multi-Action Policy for Task-Oriented Dialogues"
},
{
"_id": 551,
"text": "Incorporating Context and External Knowledge for Pronoun Coreference Resolution"
},
{
"_id": 552,
"text": "Improving Textual Network Embedding with Global Attention via Optimal Transport"
},
{
"_id": 553,
"text": "A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels"
},
{
"_id": 554,
"text": "Domain Agnostic Real-Valued Specificity Prediction"
},
{
"_id": 555,
"text": "Transfer in Deep Reinforcement Learning using Knowledge Graphs"
},
{
"_id": 556,
"text": "Language Independent Sequence Labelling for Opinion Target Extraction"
},
{
"_id": 557,
"text": "Multiplicative Models for Recurrent Language Modeling"
},
{
"_id": 558,
"text": "HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing"
},
{
"_id": 559,
"text": "Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples"
},
{
"_id": 560,
"text": "Learning to Paraphrase for Question Answering"
},
{
"_id": 561,
"text": "Evaluating Multimodal Representations on Visual Semantic Textual Similarity"
},
{
"_id": 562,
"text": "Exploring Multilingual Syntactic Sentence Representations"
},
{
"_id": 563,
"text": "Conclusion-Supplement Answer Generation for Non-Factoid Questions"
},
{
"_id": 564,
"text": "Syntax-Enhanced Self-Attention-Based Semantic Role Labeling"
},
{
"_id": 565,
"text": "Multi-modal Dense Video Captioning"
},
{
"_id": 566,
"text": "Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours"
},
{
"_id": 567,
"text": "From quantum foundations via natural language meaning to a theory of everything"
},
{
"_id": 568,
"text": "VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning"
},
{
"_id": 569,
"text": "On the Relationship between Self-Attention and Convolutional Layers"
},
{
"_id": 570,
"text": "Learning to Discover, Ground and Use Words with Segmental Neural Language Models"
},
{
"_id": 571,
"text": "Text Length Adaptation in Sentiment Classification"
},
{
"_id": 572,
"text": "Vietnamese Semantic Role Labelling"
},
{
"_id": 573,
"text": "Emotionally-Aware Chatbots: A Survey"
},
{
"_id": 574,
"text": "Should All Cross-Lingual Embeddings Speak English?"
},
{
"_id": 575,
"text": "Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers"
},
{
"_id": 576,
"text": "Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification"
},
{
"_id": 577,
"text": "Learning to Describe Phrases with Local and Global Contexts"
},
{
"_id": 578,
"text": "Network-Efficient Distributed Word2vec Training System for Large Vocabularies"
},
{
"_id": 579,
"text": "Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling"
},
{
"_id": 580,
"text": "Unsupervised Multi-modal Neural Machine Translation"
},
{
"_id": 581,
"text": "Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels"
},
{
"_id": 582,
"text": "Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition"
},
{
"_id": 583,
"text": "Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems"
},
{
"_id": 584,
"text": "Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation"
},
{
"_id": 585,
"text": "Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling"
},
{
"_id": 586,
"text": "Normalized and Geometry-Aware Self-Attention Network for Image Captioning"
},
{
"_id": 587,
"text": "VQABQ: Visual Question Answering by Basic Questions"
},
{
"_id": 588,
"text": "A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?"
},
{
"_id": 589,
"text": "Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis"
},
{
"_id": 590,
"text": "Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor"
},
{
"_id": 591,
"text": "Annotating and normalizing biomedical NEs with limited knowledge"
},
{
"_id": 592,
"text": "An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models"
},
{
"_id": 593,
"text": "Dialectometric analysis of language variation in Twitter"
},
{
"_id": 594,
"text": "Bag of Tricks for Efficient Text Classification"
},
{
"_id": 595,
"text": "BLiMP: A Benchmark of Linguistic Minimal Pairs for English"
},
{
"_id": 596,
"text": "Clustering of Medical Free-Text Records Based on Word Embeddings"
},
{
"_id": 597,
"text": "A Constructive Prediction of the Generalization Error Across Scales"
},
{
"_id": 598,
"text": "Character-Based Text Classification using Top Down Semantic Model for Sentence Representation"
},
{
"_id": 599,
"text": "A Better Variant of Self-Critical Sequence Training"
},
{
"_id": 600,
"text": "From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project"
},
{
"_id": 601,
"text": "Opinion Recommendation using Neural Memory Model"
},
{
"_id": 602,
"text": "Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation"
},
{
"_id": 603,
"text": "Rotations and Interpretability of Word Embeddings: the Case of the Russian Language"
},
{
"_id": 604,
"text": "Improving Visually Grounded Sentence Representations with Self-Attention"
},
{
"_id": 605,
"text": "Categorization of Semantic Roles for Dictionary Definitions"
},
{
"_id": 606,
"text": "Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities"
},
{
"_id": 607,
"text": "Aspect and Opinion Term Extraction for Aspect Based Sentiment Analysis of Hotel Reviews Using Transfer Learning"
},
{
"_id": 608,
"text": "Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods"
},
{
"_id": 609,
"text": "Attention Optimization for Abstractive Document Summarization"
},
{
"_id": 610,
"text": "Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER"
},
{
"_id": 611,
"text": "Annotating Student Talk in Text-based Classroom Discussions"
},
{
"_id": 612,
"text": "Dependency or Span, End-to-End Uniform Semantic Role Labeling"
},
{
"_id": 613,
"text": "Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis"
},
{
"_id": 614,
"text": "Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization"
},
{
"_id": 615,
"text": "A Multi-level Neural Network for Implicit Causality Detection in Web Texts"
},
{
"_id": 616,
"text": "Passage Re-ranking with BERT"
},
{
"_id": 617,
"text": "Improving Slot Filling by Utilizing Contextual Information"
},
{
"_id": 618,
"text": "How do you correct run-on sentences it's not as easy as it seems"
},
{
"_id": 619,
"text": "Component Analysis for Visual Question Answering Architectures"
},
{
"_id": 620,
"text": "Reference-less Quality Estimation of Text Simplification Systems"
},
{
"_id": 621,
"text": "Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning"
},
{
"_id": 622,
"text": "Retrieval-based Goal-Oriented Dialogue Generation"
},
{
"_id": 623,
"text": "INFODENS: An Open-source Framework for Learning Text Representations"
},
{
"_id": 624,
"text": "AttSum: Joint Learning of Focusing and Summarization with Neural Attention"
},
{
"_id": 625,
"text": "Trading the Twitter Sentiment with Reinforcement Learning"
},
{
"_id": 626,
"text": "Semantic Structure and Interpretability of Word Embeddings"
},
{
"_id": 627,
"text": "Explaining Queries over Web Tables to Non-Experts"
},
{
"_id": 628,
"text": "Autocompletion interfaces make crowd workers slower, but their use promotes response diversity"
},
{
"_id": 629,
"text": "Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency"
},
{
"_id": 630,
"text": "A Discrete CVAE for Response Generation on Short-Text Conversation"
},
{
"_id": 631,
"text": "Short-Text Classification Using Unsupervised Keyword Expansion"
},
{
"_id": 632,
"text": "Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN"
},
{
"_id": 633,
"text": "Controlling Utterance Length in NMT-based Word Segmentation with Attention"
},
{
"_id": 634,
"text": "Global Greedy Dependency Parsing"
},
{
"_id": 635,
"text": "Tagged Back-Translation"
},
{
"_id": 636,
"text": "From Speech-to-Speech Translation to Automatic Dubbing"
},
{
"_id": 637,
"text": "Learning Rare Word Representations using Semantic Bridging"
},
{
"_id": 638,
"text": "Link Prediction using Embedded Knowledge Graphs"
},
{
"_id": 639,
"text": "Localization of Fake News Detection via Multitask Transfer Learning"
},
{
"_id": 640,
"text": "Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences"
},
{
"_id": 641,
"text": "MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims"
},
{
"_id": 642,
"text": "Learning Multilingual Word Embeddings Using Image-Text Data"
},
{
"_id": 643,
"text": "Generating Natural Language Inference Chains"
},
{
"_id": 644,
"text": "Deep Representation Learning for Clustering of Health Tweets"
},
{
"_id": 645,
"text": "SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment"
},
{
"_id": 646,
"text": "Offensive Language and Hate Speech Detection for Danish"
},
{
"_id": 647,
"text": "Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo"
},
{
"_id": 648,
"text": "Multi-turn Inference Matching Network for Natural Language Inference"
},
{
"_id": 649,
"text": "The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Words"
},
{
"_id": 650,
"text": "TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks"
},
{
"_id": 651,
"text": "Automating Political Bias Prediction"
},
{
"_id": 652,
"text": "Multi-Head Decoder for End-to-End Speech Recognition"
},
{
"_id": 653,
"text": "Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora"
},
{
"_id": 654,
"text": "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"
},
{
"_id": 655,
"text": "A neural network system for transformation of regional cuisine style"
},
{
"_id": 656,
"text": "Measuring Social Bias in Knowledge Graph Embeddings"
},
{
"_id": 657,
"text": "Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems"
},
{
"_id": 658,
"text": "A Large-Scale Corpus for Conversation Disentanglement"
},
{
"_id": 659,
"text": "Visualizing and Measuring the Geometry of BERT"
},
{
"_id": 660,
"text": "When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions"
},
{
"_id": 661,
"text": "ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages"
},
{
"_id": 662,
"text": "Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition"
},
{
"_id": 663,
"text": "Embedding Multimodal Relational Data for Knowledge Base Completion"
},
{
"_id": 664,
"text": "Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension"
},
{
"_id": 665,
"text": "Additive Margin SincNet for Speaker Recognition"
},
{
"_id": 666,
"text": "Bidirectional Long-Short Term Memory for Video Description"
},
{
"_id": 667,
"text": "NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit"
},
{
"_id": 668,
"text": "A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation"
},
{
"_id": 669,
"text": "Cross Lingual Cross Corpus Speech Emotion Recognition"
},
{
"_id": 670,
"text": "Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis"
},
{
"_id": 671,
"text": "Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack"
},
{
"_id": 672,
"text": "ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation"
},
{
"_id": 673,
"text": "A human-editable Sign Language representation for software editing---and a writing system?"
},
{
"_id": 674,
"text": "Contextual LSTM (CLSTM) models for Large scale NLP tasks"
},
{
"_id": 675,
"text": "Ensemble-Based Deep Reinforcement Learning for Chatbots"
},
{
"_id": 676,
"text": "Impact of Coreference Resolution on Slot Filling"
},
{
"_id": 677,
"text": "Fully Automated Fact Checking Using External Sources"
},
{
"_id": 678,
"text": "A Probabilistic Generative Grammar for Semantic Parsing"
},
{
"_id": 679,
"text": "Harnessing the richness of the linguistic signal in predicting pragmatic inferences"
},
{
"_id": 680,
"text": "Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention"
},
{
"_id": 681,
"text": "Towards Task-Oriented Dialogue in Mixed Domains"
},
{
"_id": 682,
"text": "Assessing the Applicability of Authorship Verification Methods"
},
{
"_id": 683,
"text": "A Trolling Hierarchy in Social Media and A Conditional Random Field For Trolling Detection"
},
{
"_id": 684,
"text": "Word frequency and sentiment analysis of twitter messages during Coronavirus pandemic"
},
{
"_id": 685,
"text": "e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations"
},
{
"_id": 686,
"text": "An overview of embedding models of entities and relationships for knowledge base completion"
},
{
"_id": 687,
"text": "Lingke: A Fine-grained Multi-turn Chatbot for Customer Service"
},
{
"_id": 688,
"text": "Learning Relational Dependency Networks for Relation Extraction"
},
{
"_id": 689,
"text": "Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure"
},
{
"_id": 690,
"text": "Bleaching Text: Abstract Features for Cross-lingual Gender Prediction"
},
{
"_id": 691,
"text": "Depressed individuals express more distorted thinking on social media"
},
{
"_id": 692,
"text": "A Tensorized Transformer for Language Modeling"
},
{
"_id": 693,
"text": "Improving Robustness of Task Oriented Dialog Systems"
},
{
"_id": 694,
"text": "Diverse Few-Shot Text Classification with Multiple Metrics"
},
{
"_id": 695,
"text": "Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter"
},
{
"_id": 696,
"text": "Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence"
},
{
"_id": 697,
"text": "Directions in Abusive Language Training Data: Garbage In, Garbage Out"
},
{
"_id": 698,
"text": "Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts"
},
{
"_id": 699,
"text": "Universal Dependency Parsing for Hindi-English Code-switching"
},
{
"_id": 700,
"text": "ALL-IN-1: Short Text Classification with One Model for All Languages"
},
{
"_id": 701,
"text": "Structural Scaffolds for Citation Intent Classification in Scientific Publications"
},
{
"_id": 702,
"text": "Aff2Vec: Affect--Enriched Distributional Word Representations"
},
{
"_id": 703,
"text": "Unsupervised Cross-lingual Representation Learning at Scale"
},
{
"_id": 704,
"text": "GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception"
},
{
"_id": 705,
"text": "LinkNBed: Multi-Graph Representation Learning with Entity Linkage"
},
{
"_id": 706,
"text": "A Multi-cascaded Deep Model for Bilingual SMS Classification"
},
{
"_id": 707,
"text": "Masakhane -- Machine Translation For Africa"
},
{
"_id": 708,
"text": "Simplify the Usage of Lexicon in Chinese NER"
},
{
"_id": 709,
"text": "Sampling strategies in Siamese Networks for unsupervised speech representation learning"
},
{
"_id": 710,
"text": "Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU"
},
{
"_id": 711,
"text": "Transformer-based Cascaded Multimodal Speech Translation"
},
{
"_id": 712,
"text": "Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning"
},
{
"_id": 713,
"text": "Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German"
},
{
"_id": 714,
"text": "A Semi-automatic Method for Efficient Detection of Stories on Social Media"
},
{
"_id": 715,
"text": "MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs"
},
{
"_id": 716,
"text": "Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset"
},
{
"_id": 717,
"text": "Neural Machine Translation System of Indic Languages -- An Attention based Approach"
},
{
"_id": 718,
"text": "Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector"
},
{
"_id": 719,
"text": "Adaptive Scheduling for Multi-Task Learning"
},
{
"_id": 720,
"text": "Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment"
},
{
"_id": 721,
"text": "Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features"
},
{
"_id": 722,
"text": "Future Word Contexts in Neural Network Language Models"
},
{
"_id": 723,
"text": "Universal and non-universal text statistics: Clustering coefficient for language identification"
},
{
"_id": 724,
"text": "IndoSum: A New Benchmark Dataset for Indonesian Text Summarization"
},
{
"_id": 725,
"text": "BLEURT: Learning Robust Metrics for Text Generation"
},
{
"_id": 726,
"text": "Non-Projective Dependency Parsing with Non-Local Transitions"
},
{
"_id": 727,
"text": "KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments"
},
{
"_id": 728,
"text": "Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation"
},
{
"_id": 729,
"text": "A Stable Variational Autoencoder for Text Modelling"
},
{
"_id": 730,
"text": "Neural DrugNet"
},
{
"_id": 731,
"text": "Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets"
},
{
"_id": 732,
"text": "Improving Cross-Lingual Word Embeddings by Meeting in the Middle"
},
{
"_id": 733,
"text": "An Interactive Tool for Natural Language Processing on Clinical Text"
},
{
"_id": 734,
"text": "Cross-lingual Abstract Meaning Representation Parsing"
},
{
"_id": 735,
"text": "Canonicalizing Knowledge Base Literals"
},
{
"_id": 736,
"text": "Towards Personalized Dialog Policies for Conversational Skill Discovery"
},
{
"_id": 737,
"text": "BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA"
},
{
"_id": 738,
"text": "Concurrent Parsing of Constituency and Dependency"
},
{
"_id": 739,
"text": "Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention"
},
{
"_id": 740,
"text": "Named Entity Disambiguation for Noisy Text"
},
{
"_id": 741,
"text": "Question Asking as Program Generation"
},
{
"_id": 742,
"text": "Event detection in Colombian security Twitter news using fine-grained latent topic analysis"
},
{
"_id": 743,
"text": "Customized Image Narrative Generation via Interactive Visual Question Generation and Answering"
},
{
"_id": 744,
"text": "Ask to Learn: A Study on Curiosity-driven Question Generation"
},
{
"_id": 745,
"text": "Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation"
},
{
"_id": 746,
"text": "Multi-Source Syntactic Neural Machine Translation"
},
{
"_id": 747,
"text": "Self-attention based end-to-end Hindi-English Neural Machine Translation"
},
{
"_id": 748,
"text": "Contextual Recurrent Units for Cloze-style Reading Comprehension"
},
{
"_id": 749,
"text": "Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models"
},
{
"_id": 750,
"text": "Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion"
},
{
"_id": 751,
"text": "Supervised and Unsupervised Transfer Learning for Question Answering"
},
{
"_id": 752,
"text": "Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities"
},
{
"_id": 753,
"text": "Careful Selection of Knowledge to solve Open Book Question Answering"
},
{
"_id": 754,
"text": "Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents"
},
{
"_id": 755,
"text": "Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection"
},
{
"_id": 756,
"text": "Explaining Recurrent Neural Network Predictions in Sentiment Analysis"
},
{
"_id": 757,
"text": "Multi-task learning to improve natural language understanding"
},
{
"_id": 758,
"text": "Inferring the size of the causal universe: features and fusion of causal attribution networks"
},
{
"_id": 759,
"text": "Why Do Urban Legends Go Viral?"
},
{
"_id": 760,
"text": "An efficient automated data analytics approach to large scale computational comparative linguistics"
},
{
"_id": 761,
"text": "A Dictionary-based Approach to Racism Detection in Dutch Social Media"
},
{
"_id": 762,
"text": "Neural Factor Graph Models for Cross-lingual Morphological Tagging"
},
{
"_id": 763,
"text": "That and There: Judging the Intent of Pointing Actions with Robotic Arms"
},
{
"_id": 764,
"text": "Weakly-supervised Neural Semantic Parsing with a Generative Ranker"
},
{
"_id": 765,
"text": "Neural Machine Translation with Supervised Attention"
},
{
"_id": 766,
"text": "Dover: A Method for Combining Diarization Outputs"
},
{
"_id": 767,
"text": "Detecting Fake News with Capsule Neural Networks"
},
{
"_id": 768,
"text": "All Fingers are not Equal: Intensity of References in Scientific Articles"
},
{
"_id": 769,
"text": "Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning"
},
{
"_id": 770,
"text": "Gender Bias in Neural Natural Language Processing"
},
{
"_id": 771,
"text": "Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets"
},
{
"_id": 772,
"text": "Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings"
},
{
"_id": 773,
"text": "Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference"
},
{
"_id": 774,
"text": "Good-Enough Compositional Data Augmentation"
},
{
"_id": 775,
"text": "DpgMedia2019: A Dutch News Dataset for Partisanship Detection"
},
{
"_id": 776,
"text": "Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order"
},
{
"_id": 777,
"text": "CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain"
},
{
"_id": 778,
"text": "Limits of Detecting Text Generated by Large-Scale Language Models"
},
{
"_id": 779,
"text": "ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension"
},
{
"_id": 780,
"text": "Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions"
},
{
"_id": 781,
"text": "Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks"
},
{
"_id": 782,
"text": "Racial Bias in Hate Speech and Abusive Language Detection Datasets"
},
{
"_id": 783,
"text": "Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words"
},
{
"_id": 784,
"text": "Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models"
},
{
"_id": 785,
"text": "Modeling Global Syntactic Variation in English Using Dialect Classification"
},
{
"_id": 786,
"text": "A Parallel Corpus of Theses and Dissertations Abstracts"
},
{
"_id": 787,
"text": "Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions"
},
{
"_id": 788,
"text": "Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages"
},
{
"_id": 789,
"text": "Image Captioning: Transforming Objects into Words"
},
{
"_id": 790,
"text": "Semi-Supervised Methods for Out-of-Domain Dependency Parsing"
},
{
"_id": 791,
"text": "Rethinking Exposure Bias In Language Modeling"
},
{
"_id": 792,
"text": "Zero-Shot Relation Extraction via Reading Comprehension"
},
{
"_id": 793,
"text": "Multi-scale Octave Convolutions for Robust Speech Recognition"
},
{
"_id": 794,
"text": "A Label Semantics Approach to Linguistic Hedges"
},
{
"_id": 795,
"text": "Behavior Gated Language Models"
},
{
"_id": 796,
"text": "Open-World Knowledge Graph Completion"
},
{
"_id": 797,
"text": "The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources"
},
{
"_id": 798,
"text": "Using Gaussian Processes for Rumour Stance Classification in Social Media"
},
{
"_id": 799,
"text": "Topic Spotting using Hierarchical Networks with Self Attention"
},
{
"_id": 800,
"text": "Learning Personalized End-to-End Goal-Oriented Dialog"
},
{
"_id": 801,
"text": "Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter"
},
{
"_id": 802,
"text": "#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement"
},
{
"_id": 803,
"text": "Introducing RONEC -- the Romanian Named Entity Corpus"
},
{
"_id": 804,
"text": "A General-Purpose Tagger with Convolutional Neural Networks"
},
{
"_id": 805,
"text": "Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine"
},
{
"_id": 806,
"text": "Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter"
},
{
"_id": 807,
"text": "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"
},
{
"_id": 808,
"text": "SimplerVoice: A Key Message&Visual Description Generator System for Illiteracy"
},
{
"_id": 809,
"text": "Modelling Semantic Categories using Conceptual Neighborhood"
},
{
"_id": 810,
"text": "The Transference Architecture for Automatic Post-Editing"
},
{
"_id": 811,
"text": "Emerging Language Spaces Learned From Massively Multilingual Corpora"
},
{
"_id": 812,
"text": "An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension"
},
{
"_id": 813,
"text": "Unsupervised Learning of Style-sensitive Word Vectors"
},
{
"_id": 814,
"text": "Bayesian Sparsification of Recurrent Neural Networks"
},
{
"_id": 815,
"text": "Towards a Robust Deep Neural Network in Text Domain A Survey"
},
{
"_id": 816,
"text": "Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition"
},
{
"_id": 817,
"text": "Deep Neural Machine Translation with Linear Associative Unit"
},
{
"_id": 818,
"text": "Graph Neural Networks with Generated Parameters for Relation Extraction"
},
{
"_id": 819,
"text": "On the emergence of syntactic structures: quantifying and modelling duality of patterning"
},
{
"_id": 820,
"text": "TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus"
},
{
"_id": 821,
"text": "Speakers account for asymmetries in visual perspective so listeners don't have to"
},
{
"_id": 822,
"text": "Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition"
},
{
"_id": 823,
"text": "HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering"
},
{
"_id": 824,
"text": "Question Answering and Question Generation as Dual Tasks"
},
{
"_id": 825,
"text": "Multimodal Word Distributions"
},
{
"_id": 826,
"text": "Task-driven Visual Saliency and Attention-based Visual Question Answering"
},
{
"_id": 827,
"text": "KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning"
},
{
"_id": 828,
"text": "Localized Flood DetectionWith Minimal Labeled Social Media Data Using Transfer Learning"
},
{
"_id": 829,
"text": "Applications of Online Deep Learning for Crisis Response Using Social Media Information"
},
{
"_id": 830,
"text": "Small and Practical BERT Models for Sequence Labeling"
},
{
"_id": 831,
"text": "Dialogue Act Recognition via CRF-Attentive Structured Network"
},
{
"_id": 832,
"text": "Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings"
},
{
"_id": 833,
"text": "BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization"
},
{
"_id": 834,
"text": "Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task"
},
{
"_id": 835,
"text": "Neural Network Translation Models for Grammatical Error Correction"
},
{
"_id": 836,
"text": "Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba"
},
{
"_id": 837,
"text": "Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks"
},
{
"_id": 838,
"text": "Information-Theoretic Probing for Linguistic Structure"
},
{
"_id": 839,
"text": "Detecting and Extracting Events from Text Documents"
},
{
"_id": 840,
"text": "A Sketch-Based System for Semantic Parsing"
},
{
"_id": 841,
"text": "Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition"
},
{
"_id": 842,
"text": "NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter"
},
{
"_id": 843,
"text": "What comes next? Extractive summarization by next-sentence prediction"
},
{
"_id": 844,
"text": "Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation"
},
{
"_id": 845,
"text": "Forex trading and Twitter: Spam, bots, and reputation manipulation"
},
{
"_id": 846,
"text": "Unsupervised Text Summarization via Mixed Model Back-Translation"
},
{
"_id": 847,
"text": "Putting Self-Supervised Token Embedding on the Tables"
},
{
"_id": 848,
"text": "English verb regularization in books and tweets"
},
{
"_id": 849,
"text": "HuggingFace's Transformers: State-of-the-art Natural Language Processing"
},
{
"_id": 850,
"text": "A framework for streamlined statistical prediction using topic models"
},
{
"_id": 851,
"text": "LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization"
},
{
"_id": 852,
"text": "Language-Based Image Editing with Recurrent Attentive Models"
},
{
"_id": 853,
"text": "MULTEXT-East"
},
{
"_id": 854,
"text": "BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding"
},
{
"_id": 855,
"text": "Proposal Towards a Personalized Knowledge-powered Self-play Based Ensemble Dialog System"
},
{
"_id": 856,
"text": "Learning End-to-End Goal-Oriented Dialog"
},
{
"_id": 857,
"text": "Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection"
},
{
"_id": 858,
"text": "DCN+: Mixed Objective and Deep Residual Coattention for Question Answering"
},
{
"_id": 859,
"text": "Bootstrapping Generators from Noisy Data"
},
{
"_id": 860,
"text": "Competency Questions and SPARQL-OWL Queries Dataset and Analysis"
},
{
"_id": 861,
"text": "Question Answering via Integer Programming over Semi-Structured Knowledge"
},
{
"_id": 862,
"text": "Comparing morphological complexity of Spanish, Otomi and Nahuatl"
},
{
"_id": 863,
"text": "Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation"
},
{
"_id": 864,
"text": "Summary Level Training of Sentence Rewriting for Abstractive Summarization"
},
{
"_id": 865,
"text": "Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation"
},
{
"_id": 866,
"text": "Efficient keyword spotting using dilated convolutions and gating"
},
{
"_id": 867,
"text": "An Open-World Extension to Knowledge Graph Completion Models"
},
{
"_id": 868,
"text": "Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks"
},
{
"_id": 869,
"text": "Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation"
},
{
"_id": 870,
"text": "Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments"
},
{
"_id": 871,
"text": "Phase transitions in a decentralized graph-based approach to human language"
},
{
"_id": 872,
"text": "Improving Pre-Trained Multilingual Models with Vocabulary Expansion"
},
{
"_id": 873,
"text": "Explaining Predictions of Non-Linear Classifiers in NLP"
},
{
"_id": 874,
"text": "Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model"
},
{
"_id": 875,
"text": "Stochastic Answer Networks for Machine Reading Comprehension"
},
{
"_id": 876,
"text": "Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings"
},
{
"_id": 877,
"text": "Natural Language Processing with Small Feed-Forward Networks"
},
{
"_id": 878,
"text": "Back to the Future -- Sequential Alignment of Text Representations"
},
{
"_id": 879,
"text": "Analyzing Language Learned by an Active Question Answering Agent"
},
{
"_id": 880,
"text": "Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies"
},
{
"_id": 881,
"text": "Context-Aware Learning for Neural Machine Translation"
},
{
"_id": 882,
"text": "Recurrent Deep Stacking Networks for Speech Recognition"
},
{
"_id": 883,
"text": "Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning"
},
{
"_id": 884,
"text": "Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog"
},
{
"_id": 885,
"text": "Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge"
},
{
"_id": 886,
"text": "Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling"
},
{
"_id": 887,
"text": "A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network"
}
] |