sentences
list
labels
list
[ "The mainstream machine learning paradigms for NLP often work with two underlying presumptions.", "First, the target task is predefined and static; a system merely needs to learn to solve it exclusively.", "Second, the supervision of a task mainly comes from a set of labeled examples.", "A question arises: ho...
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[ "Representations of events described in text are important for various tasks.", "In this work, we present SWCC : a S imultaneous W eakly supervised C ontrastive learning and C lustering framework for event representation learning.", "SWCC learns event representations by making better use of co-occurrence inform...
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[ "We improve upon pairwise annotation for active learning in coreference resolution, by asking annotators to identify mention antecedents if a presented mention pair is deemed not coreferent.", "This simple modification, when combined with a novel mention clustering algorithm for selecting which examples to label,...
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[ "Large Transformers pretrained over clinical notes from Electronic Health Records (EHR) have afforded substantial gains in performance on predictive clinical tasks.", "The cost of training such models (and the necessity of data access to do so) coupled with their utility motivates parameter sharing, i.e., the rel...
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[ "Distributed representations of words have been an indispensable component for natural language processing (NLP) tasks.", "However, the large memory footprint of word embeddings makes it challenging to deploy NLP models to memory-constrained devices (e.g., self-driving cars, mobile devices).", "In this paper, w...
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[ "Abstract Spatial commonsense, the knowledge about spatial position and relationship between objects (like the relative size of a lion and a girl , and the position of a boy relative to a bicycle when cycling ), is an important part of commonsense knowledge.", "Although pretrained language models (PLMs) succeed i...
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[ "Mixed initiative in open-domain dialogue requires a system to pro-actively introduce new topics.", "The one-turn topic transition task explores how a system connects two topics in a cooperative and coherent manner.", "The goal of the task is to generate a bridging utterance connecting the new topic to the topi...
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[ "A dialogue response is malevolent if it is grounded in negative emotions, inappropriate behavior, or an unethical value basis in terms of content and dialogue acts.", "The detection of malevolent dialogue responses is attracting growing interest.", "Current research on detecting dialogue malevolence has limita...
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[ "Existing approaches to mapping-based cross-lingual word embeddings are based on the assumption that the source and target embedding spaces are structurally similar.", "The structures of embedding spaces largely depend on the co-occurrence statistics of each word, which the choice of context window determines.", ...
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[ "Simultaneous machine translation (SiMT) starts translating while receiving the streaming source inputs, and hence the source sentence is always incomplete during translating.", "Different from the full-sentence MT using the conventional seq-to-seq architecture, SiMT often applies prefix-to-prefix architecture, w...
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[ "We propose ConVEx ( Con versational V alue Ex tractor), an efficient pretraining and fine-tuning neural approach for slot-labeling dialog tasks.", "Instead of relying on more general pretraining objectives from prior work (e.g., language modeling, response selection), ConVEx's pretraining objective, a novel pair...
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[ "Recognizing named entities in a document is a key task in many NLP applications.", "Although current state-of-the-art approaches to this task reach a high performance on clean text (e.g. newswire genres), those algorithms dramatically degrade when they are moved to noisy environments such as social media domains...
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[ "Providing a reliable explanation for clinical diagnosis based on the Electronic Medical Record (EMR) is fundamental to the application of Artificial Intelligence in the medical field.", "Current methods mostly treat the EMR as a text sequence and provide explanations based on a precise medical knowledge base, wh...
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[ "Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.", "However, most works focus on modeling speaker and contextual information primarily on the textual modality or simply leveraging m...
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[ "Existing multilingual machine translation approaches mainly focus on English-centric directions, while the non-English directions still lag behind.", "In this work, we aim to build a many-to-many translation system with an emphasis on the quality of non-English language directions.", "Our intuition is based on...
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[ "We show that unsupervised sequence-segmentation performance can be transferred to extremely low-resource languages by pretraining a Masked Segmental Language Model (Downey et al., 2021) multilingually.", "Further, we show that this transfer can be achieved by training over a collection of low-resource languages ...
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[ "Unfamiliar terminology and complex language can present barriers to understanding science.", "Natural language processing stands to help address these issues by automatically defining unfamiliar terms.", "We introduce a new task and dataset for defining scientific terms and controlling the complexity of genera...
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[ "Streaming cross document entity coreference (CDC) systems disambiguate mentions of named entities in a scalable manner via incremental clustering.", "Unlike other approaches for named entity disambiguation (e.g., entity linking), streaming CDC allows for the disambiguation of entities that are unknown at inferen...
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[ "In this work, we develop SimulSpeech, an end-to-end simultaneous speech to text translation system which translates speech in source language to text in target language concurrently.", "SimulSpeech consists of a speech encoder, a speech segmenter and a text decoder, where 1) the segmenter builds upon the encoder...
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[ "Although neural tensor networks (NTNs) have been successful in many natural language processing tasks, they require a large number of parameters to be estimated, which often results in overfitting and long training times.", "We address these issues by applying eigendecompo-sition to each slice matrix of a tensor...
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[ "Learning multi-hop reasoning has been a key challenge for reading comprehension models, leading to the design of datasets that explicitly focus on it.", "Ideally, a model should not be able to perform well on a multi-hop question answering task without doing multi-hop reasoning.", "In this paper, we investigat...
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[ "We study the problem of learning a named entity recognition (NER) tagger using noisy labels from multiple weak supervision sources.", "Though cheap to obtain, the labels from weak supervision sources are often incomplete, inaccurate, and contradictory, making it difficult to learn an accurate NER model.", "To ...
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[ "Using a case study, we show that variation in oral reading rate across passages for professional narrators is consistent across readers and much of it can be explained using features of the texts being read.", "While text complexity is a poor predictor of the reading rate, a substantial share of variability can ...
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[ "This paper describes the Critical Role Dungeons and Dragons Dataset (CRD3) and related analyses.", "Critical Role is an unscripted, live-streamed show where a fixed group of people play Dungeons and Dragons, an open-ended role-playing game.", "The dataset is collected from 159 Critical Role episodes transcribe...
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[ "Current advances in machine translation (MT) increase the need for translators to switch from traditional translation to post-editing (PE) of machine-translated text, a process that saves time and reduces errors.", "This affects the design of translation interfaces, as the task changes from mainly generating tex...
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[ "The goal of event detection (ED) is to detect the occurrences of events and categorize them.", "Previous work solved this task by recognizing and classifying event triggers, which is defined as the word or phrase that most clearly expresses an event occurrence.", "As a consequence, existing approaches required...
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[ "Few-shot learning arises in important practical scenarios, such as when a natural language understanding system needs to learn new semantic labels for an emerging, resource-scarce domain.", "In this paper, we explore retrieval-based methods for intent classification and slot filling tasks in few-shot settings.",...
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[ "We present the first human-annotated dialogue-based relation extraction (RE) dataset DialogRE, aiming to support the prediction of relation(s) between two arguments that appear in a dialogue.", "We further offer DialogRE as a platform for studying cross-sentence RE as most facts span multiple sentences.", "We ...
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[ "Models pre-trained on large-scale regular text corpora often do not work well for user-generated data where the language styles differ significantly from the mainstream text.", "Here we present Context-Aware Rule Injection (CARI), an innovative method for formality style transfer (FST).", "CARI injects multipl...
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[ "Simultaneous translation has many important application scenarios and attracts much attention from both academia and industry recently.", "Most existing frameworks, however, have dif-ficulties in balancing between the translation quality and latency, i.e., the decoding policy is usually either too aggressive or ...
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[ "Given the claims of improved text generation quality across various pre-trained neural models, we consider the coherence evaluation of machine generated text to be one of the principal applications of coherence models that needs to be investigated.", "Prior work in neural coherence modeling has primarily focused...
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[ "Word translation or bilingual lexicon induction (BLI) is a key cross-lingual task, aiming to bridge the lexical gap between different languages.", "In this work, we propose a robust and effective two-stage contrastive learning framework for the BLI task.", "At Stage C1, we propose to refine standard cross-ling...
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[ "Text generation from a knowledge base aims to translate knowledge triples to natural-language descriptions.", "Most existing methods ignore the faithfulness between a generated text description and the original table, leading to generated information that goes beyond the content of the table.", "In this paper,...
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[ "With the great success of pre-trained language models, the pretrain-finetune paradigm now becomes the undoubtedly dominant solution for natural language understanding (NLU) tasks.", "At the fine-tune stage, target task data is usually introduced in a completely random order and treated equally.", "However, exa...
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[ "We explore deception detection in interview dialogues.", "We analyze a set of linguistic features in both truthful and deceptive responses to interview questions.", "We also study the perception of deception, identifying characteristics of statements that are perceived as truthful or deceptive by interviewers....
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[ "Hongfei Xu 1 , 2 Josef van Genabith 1 , 2 Deyi Xiong 3 Qiuhui Liu 4 1 Saarland University / Saarland, Germany 2 German Research Center for Artificial Intelligence / Saarland, Germany 3 Tianjin University / Tianjin, China 4 China Mobile Online Services / Henan, China hfxunlp@foxmail.com, Josef.Van Genabith@dfki.de...
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[ "The increasing popularity of voice-based personal assistants provides new opportunities for conversational recommendation.", "One particularly interesting area is movie recommendation, which can benefit from an open-ended interaction with the user, through a natural conversation.", "We explore one promising di...
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[ "Multimodal machine translation (MMT) aims to improve neural machine translation (NMT) with additional visual information, but most existing MMT methods require paired input of source sentence and image, which makes them suffer from shortage of sentence-image pairs.", "In this paper, we propose a phrase-level ret...
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[ "Auto-regressive text generation models usually focus on local fluency, and may cause inconsistent semantic meaning in long text generation.", "Further, automatically generating words with similar semantics is challenging, and hand-crafted linguistic rules are difficult to apply.", "We consider a text planning ...
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[ "Knowledge distillation is a critical technique to transfer knowledge between models, typically from a large model (the teacher) to a more fine-grained one (the student).", "The objective function of knowledge distillation is typically the cross-entropy between the teacher and the student's output distributions."...
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[ "Generating some appealing questions in open-domain conversations is an effective way to improve human-machine interactions and lead the topic to a broader or deeper direction.", "To avoid dull or deviated questions, some researchers tried to utilize answer, the future information, to guide question generation.",...
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[ "This work examines the rhetorical techniques that speakers employ during political campaigns.", "We introduce a new corpus of speeches from campaign events in the months leading up to the 2016 U.S. presidential election and develop new models for predicting moments of audience applause.", "In contrast to exist...
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[ "While traditional systems for Open Information Extraction were statistical and rule-based, recently neural models have been introduced for the task.", "Our work builds upon CopyAttention, a sequence generation OpenIE model (Cui et al., 2018).", "Our analysis reveals that CopyAttention produces a constant numbe...
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[ "Open-domain questions are likely to be open-ended and ambiguous, leading to multiple valid answers.", "Existing approaches typically adopt the rerank-then-read framework, where a reader reads top-ranking evidence to predict answers.", "According to our empirical analysis, this framework faces three problems: f...
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[ "We consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT).", "Specifically, given a training dataset with a sentence-level feature such as noise, we seek an optimal curriculum , or order for presenting examples to the system during training.", "Our curri...
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[ "Traditional generative dialogue models generate responses solely from input queries.", "Such information is insufficient for generating a specific response since a certain query could be answered in multiple ways.", "Recently, researchers have attempted to fill the information gap by exploiting information ret...
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[ "We conduct a thorough study to diagnose the behaviors of pre-trained language encoders (ELMo, BERT, and RoBERTa) when confronted with natural grammatical errors.", "Specifically, we collect real grammatical errors from non-native speakers and conduct adversarial attacks to simulate these errors on clean text dat...
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[ "Preregistration refers to the practice of specifying what you are going to do, and what you expect to find in your study, before carrying out the study.", "This practice is increasingly common in medicine and psychology, but is rarely discussed in NLP.", "This paper discusses preregistration in more detail, ex...
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[ "In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object) .", "Our CapsE represents each triple as a 3-column matrix where each column vector represents the embedding of an element in the triple.", "This 3-column matrix is...
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[ "Tweets are short messages that often include specialized language such as hashtags and emojis.", "In this paper, we present a simple strategy to process emojis: replace them with their natural language description and use pretrained word embeddings as normally done with standard words.", "We show that this str...
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[ "In recent years online shopping has gained momentum and became an important venue for customers wishing to save time and simplify their shopping process.", "A key advantage of shopping online is the ability to read what other customers are saying about products of interest.", "In this work, we aim to maintain ...
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[ "Although many end-to-end context-aware neural machine translation models have been proposed to incorporate inter-sentential contexts in translation, these models can be trained only in domains where parallel documents with sentential alignments exist.", "We therefore present a simple method to perform context-aw...
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[ "Partha Talukdar", "Indian Institute of Science, Bangalore", "Abstract", "The recent growth in the popularity and success of deep learning models on NLP classification tasks has accompanied the need for generating some form of natural language explanation of the predicted labels.", "Such generated natural l...
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[ "We reframe suicide risk assessment from social media as a ranking problem whose goal is maximizing detection of severely at-risk individuals given the time available.", "Building on measures developed for resource-bounded document retrieval, we introduce a well founded evaluation paradigm, and demonstrate using ...
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[ "Can attentionor gradient-based visualization techniques be used to infer token-level labels for binary sequence tagging problems, using networks trained only on sentence-level labels?", "We construct a neural network architecture based on soft attention, train it as a binary sentence classifier and evaluate agai...
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[ "Recent works in dialogue state tracking (DST) focus on an open vocabulary-based setting to resolve scalability and generalization issues of the predefined ontology-based approaches.", "However, they are inefficient in that they predict the dialogue state at every turn from scratch.", "Here, we consider dialogu...
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[ "We introduce a novel method for multilingual transfer that utilizes deep contextual embeddings, pretrained in an unsupervised fashion.", "While contextual embeddings have been shown to yield richer representations of meaning compared to their static counterparts, aligning them poses a challenge due to their dyna...
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[ "We introduce CARETS, a systematic test suite to measure consistency and robustness of modern VQA models through a series of six fine-grained capability tests.", "In contrast to existing VQA test sets, CARETS features balanced question generation to create pairs of instances to test models, with each pair focusin...
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[ "Dialog response generation in open domain is an important research topic where the main challenge is to generate relevant and diverse responses.", "In this paper, we propose a new dialog pre-training framework called DialogVED, which introduces continuous latent variables into the enhanced encoder-decoder pre-tr...
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[ "End-to-end speech translation poses a heavy burden on the encoder because it has to transcribe, understand, and learn cross-lingual semantics simultaneously.", "To obtain a powerful encoder, traditional methods pre-train it on ASR data to capture speech features.", "However, we argue that pre-training the enco...
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[ "We propose a deep and interpretable probabilistic generative model to analyze glyph shapes in printed Early Modern documents.", "We focus on clustering extracted glyph images into underlying templates in the presence of multiple confounding sources of variance.", "Our approach introduces a neural editor model ...
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[ "A key challenge of dialog systems research is to effectively and efficiently adapt to new domains.", "A scalable paradigm for adaptation necessitates the development of generalizable models that perform well in few-shot settings.", "In this paper, we focus on the intent classification problem which aims to ide...
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[ "Natural language inference (NLI) has been widely used as a task to train and evaluate models for language understanding.", "However, the ability of NLI models to perform inferences requiring understanding of figurative language such as idioms and metaphors remains understudied.", "We introduce the IMPLI ( I di...
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[ "Despite the recent progress, little is known about the features captured by state-of-the-art neural relation extraction (RE) models.", "Common methods encode the source sentence, conditioned on the entity mentions, before classifying the relation.", "However, the complexity of the task makes it difficult to un...
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[ "We review motivations, definition, approaches, and methodology for unsupervised crosslingual learning and call for a more rigorous position in each of them.", "An existing rationale for such research is based on the lack of parallel data for many of the world's languages.", "However, we argue that a scenario w...
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[ "Despite significant interest in developing general purpose fact checking models, it is challenging to construct a large-scale fact verification dataset with realistic real-world claims.", "Existing claims are either authored by crowdworkers, thereby introducing subtle biases that are difficult to control for, or...
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[ "Healthcare predictive analytics aids medical decision-making, diagnosis prediction and drug review analysis.", "Therefore, prediction accuracy is an important criteria which also necessitates robust predictive language models.", "However, the models using deep learning have been proven vulnerable towards in-si...
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[ "Deep Learning-based NLP systems can be sensitive to unseen tokens and hard to learn with high-dimensional inputs, which critically hinder learning generalization.", "We introduce an approach by grouping input words based on their semantic diversity to simplify input language representation with low ambiguity.", ...
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[ "Writing a good job posting is a critical step in the recruiting process, but the task is often more difficult than many people think.", "It is challenging to specify the level of education, experience, relevant skills per the company information and job description.", "To this end, we propose a novel task of J...
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[ "Recently BERT has been adopted for document encoding in state-of-the-art text summarization models.", "However, sentence-based extractive models often result in redundant or uninformative phrases in the extracted summaries.", "Also, long-range dependencies throughout a document are not well captured by BERT, w...
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[ "Advances in the automated detection of offensive Internet postings make this mechanism very attractive to social media companies, who are increasingly under pressure to monitor and action activity on their sites.", "However, these advances also have important implications as a threat to the fundamental right of ...
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[ "As a broad and major category in machine reading comprehension (MRC), the generalized goal of discriminative MRC is answer prediction from the given materials.", "However, the focuses of various discriminative MRC tasks may be diverse enough: multi-choice MRC requires model to highlight and integrate all potenti...
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[ "Out-of-scope intent detection is of practical importance in task-oriented dialogue systems.", "Since the distribution of outlier utterances is arbitrary and unknown in the training stage, existing methods commonly rely on strong assumptions on data distribution such as mixture of Gaussians to make inference, res...
[ "abstain", "abstain", "objective", "method", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objec...
[ "Synthesizing data for semantic parsing has gained increasing attention recently.", "However, most methods require handcrafted (high-precision) rules in their generative process, hindering the exploration of diverse unseen data.", "In this work, we propose a generative model which features a (non-neural) PCFG t...
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[ "The hypernymy detection task has been addressed under various frameworks.", "Previously, the design of unsupervised hypernymy scores has been extensively studied.", "In contrast, supervised classifiers, especially distributional models, leverage the global contexts of terms to make predictions, but are more li...
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[ "Non-Autoregressive machine Translation (NAT) models have demonstrated significant inference speedup but suffer from inferior translation accuracy.", "The common practice to tackle the problem is transferring the Autoregressive machine Translation (AT) knowledge to NAT models, e.g., with knowledge distillation.",...
[ "abstain", "abstain", "objective", "objective", "method", "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "objective", "method", "method", "method", "abstain", "abstain", ...
[ "Previous work on answering complex questions from knowledge bases usually separately addresses two types of complexity: questions with constraints and questions with multiple hops of relations.", "In this paper, we handle both types of complexity at the same time.", "Motivated by the observation that early inc...
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[ "We present an approach to minimally supervised relation extraction that combines the benefits of learned representations and structured learning, and accurately predicts sentence-level relation mentions given only proposition-level supervision from a KB.", "By explicitly reasoning about missing data during learn...
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[ "This paper studies strategies to model word formation in NMT using rich linguistic information, namely a word segmentation approach that goes beyond splitting into substrings by considering fusional morphology.", "Our linguistically sound segmentation is combined with a method for target-side inflection to accom...
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[ "Empathetic dialogue assembles emotion understanding, feeling projection, and appropriate response generation.", "Existing work for empathetic dialogue generation concentrates on the two-party conversation scenario.", "Multiparty dialogues, however, are pervasive in reality.", "Furthermore, emotion and sensib...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", ...
[ "Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy.", "Existing methods encode text and label hierarchy separately and mix their representations for classification, where the hierarchy remains unchanged for all input text.", "Instead of mo...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "abs...
[ "In most cases, the lack of parallel corpora makes it impossible to directly train supervised models for the text style transfer task.", "In this paper, we explore training algorithms that instead optimize reward functions that explicitly consider different aspects of the style-transferred outputs.", "In partic...
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[ "Abstract In our everyday chit-chat, there is a conversation initiator, who proactively casts an initial utterance to start chatting.", "However, most existing conversation systems cannot play this role.", "Previous studies on conversation systems assume that the user always initiates conversation, and have pla...
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[ "Compositionalitythe ability to combine familiar units like words into novel phrases and sentenceshas been the focus of intense interest in artificial intelligence in recent years.", "To test compositional generalization in semantic parsing, Keysers et al. (2020) introduced Compositional Freebase Queries (CFQ).",...
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[ "Training semantic parsers from question-answer pairs typically involves searching over an exponentially large space of logical forms, and an unguided search can easily be misled by spurious logical forms that coincidentally evaluate to the correct answer.", "We propose a novel iterative training algorithm that a...
[ "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "result", "objective", "objective", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "met...
[ "Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines.", "Recently, many approaches have been devoted to perceiving conversational context by deep learning models.", "However, these approaches are insufficient in understanding the context due to lacking t...
[ "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "method", "objective", "abstain", "...
[ "We address the task of unsupervised Semantic Textual Similarity (STS) by ensembling diverse pre-trained sentence encoders into sentence meta-embeddings .", "We apply, extend and evaluate different meta-embedding methods from the word embedding literature at the sentence level, including dimensionality reduction ...
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[ "We introduce a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure.", "We show that training models on this new dataset leads to state-of-the-art performance on a variety of popular NLI benchmarks, while posing a more difficult challenge with its n...
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[ "Toward Better Storylines with Sentence-Level Language Models Daphne Ippolito daphnei@seas.upenn.edu David Grangier grangier@google.com Douglas Eck deck@google.com Chris Callison-Burch * ccb@seas.upenn.edu Abstract We propose a sentence-level language model which selects the next sentence in a story from a fin...
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[ "We present NEWSROOM , a summarization dataset of 1.3 million articles and summaries written by authors and editors in newsrooms of 38 major news publications.", "Extracted from search and social media metadata between 1998 and 2017, these high-quality summaries demonstrate high diversity of summarization styles....
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[ "We propose a multi-task learning framework to learn a joint Machine Reading Comprehension (MRC) model that can be applied to a wide range of MRC tasks in different domains.", "Inspired by recent ideas of data selection in machine translation, we develop a novel sample re-weighting scheme to assign sample-specifi...
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[ "Sentence embeddings are an important component of many natural language processing (NLP) systems.", "Like word embeddings, sentence embeddings are typically learned on large text corpora and then transferred to various downstream tasks, such as clustering and retrieval.", "Unlike word embeddings, the highest p...
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[ "Long-range semantic coherence remains a challenge in automatic language generation and understanding.", "We demonstrate that large language models have insufficiently learned the effect of distant words on next-token prediction.", "We present coherence boosting , an inference procedure that increases a LM's fo...
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[ "Highlighting while reading is a natural behavior for people to track salient content of a document.", "It would be desirable to teach an extractive summarizer to do the same.", "However, a major obstacle to the development of a supervised summarizer is the lack of ground-truth.", "Manual annotation of extrac...
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[ "Pre-trained multilingual language models, e.g. , multilingual-BERT, are widely used in cross-lingual tasks, yielding the state-of-the-art performance.", "However, such models suffer from a large performance gap between source and target languages, especially in the zero-shot setting, where the models are fine-tu...
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[ "The variational autoencoder (VAE) imposes a probabilistic distribution (typically Gaussian) on the latent space and penalizes the KullbackLeibler (KL) divergence between the posterior and prior.", "In NLP, VAEs are extremely difficult to train due to the problem of KL collapsing to zero.", "One has to implemen...
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[ "Fast and reliable evaluation metrics are key to R&D progress.", "While traditional natural language generation metrics are fast, they are not very reliable.", "Conversely, new metrics based on large pretrained language models are much more reliable, but require significant computational resources.", "In this...
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[ "There has been growing interest in parameter-efficient methods to apply pre-trained language models to downstream tasks.", "Building on the PROMPTTUNING approach of Lester et al. (2021), which learns task-specific soft prompts to condition a frozen pre-trained model to perform different tasks, we propose a novel...
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[ "Globally normalized neural sequence models are considered superior to their locally normalized equivalents because they may ameliorate the effects of label bias.", "However, when considering high-capacity neural parametrizations that condition on the whole input sequence, both model classes are theoretically equ...
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[ "Coreference resolution over semantic graphs like AMRs aims to group the graph nodes that represent the same entity.", "This is a crucial step for making document-level formal semantic representations.", "With annotated data on AMR coreference resolution, deep learning approaches have recently shown great poten...
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