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scim
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naacl_data_prog

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[ "We propose a transition-based bubble parser to perform coordination structure identification and dependency-based syntactic analysis simultaneously.", "Bubble representations were proposed in the formal linguistics literature decades ago; they enhance dependency trees by encoding coordination boundaries and inte...
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[ "Natural-language prompts have recently been used to coax pretrained language models into performing other AI tasks, using a fill-in-the-blank paradigm (Petroni et al., 2019) or a few-shot extrapolation paradigm (Brown et al., 2020).", "For example, language models retain factual knowledge from their training cor...
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[ "In this paper, we detail the relationship between convolutions and self-attention in natural language tasks.", "We show that relative position embeddings in self-attention layers are equivalent to recently-proposed dynamic lightweight convolutions, and we consider multiple new ways of integrating convolutions in...
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[ "Effective question-asking is a crucial component of a successful conversational chatbot.", "It could help the bots manifest empathy and render the interaction more engaging by demonstrating attention to the speaker's emotions.", "However, current dialog generation approaches do not model this subtle emotion re...
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[ "Fine-grained Entity typing (FGET) is the task of assigning a fine-grained type from a hierarchy to entity mentions in the text.", "As the taxonomy of types evolves continuously, it is desirable for an entity typing system to be able to recognize novel types without additional training.", "This work proposes a ...
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[ "Joint extraction of entities and relations from unstructured texts is a crucial task in information extraction.", "Recent methods achieve considerable performance but still suffer from some inherent limitations, such as redundancy of relation prediction, poor generalization of span-based extraction and inefficie...
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[ "Existing computational models to understand hate speech typically frame the problem as a simple classification task, bypassing the understanding of hate symbols (e.g., 14 words , kigy ) and their secret connotations.", "In this paper, we propose a novel task of deciphering hate symbols.", "To do this, we lever...
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[ "Understanding how social power structures affect the way we interact with one another is of great interest to social scientists who want to answer fundamental questions about human behavior, as well as to computer scientists who want to build automatic methods to infer the social contexts of interactions.", "In ...
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[ "We introduce Self-CRItic Pretraining Transformers (SCRIPT) for representation learning of text.", "The popular masked language modeling (MLM) pretraining methods like BERT replace some tokens with [MASK] and an encoder is trained to recover them, while ELECTRA trains a discriminator to detect replaced tokens pro...
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[ "Abstract Different Open Information Extraction (OIE) tasks require different types of information, so the OIE field requires strong adaptability of OIE algorithms to meet different task requirements.", "This paper discusses the adaptability problem in existing OIE systems and designs a new adaptable and efficien...
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[ "Coarse-grained linguistic information, such as named entities or phrases, facilitates adequately representation learning in pre-training.", "Previous works mainly focus on extending the objective of BERT's Masked Language Modeling (MLM) from masking individual tokens to contiguous sequences of n tokens.", "We ...
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[ "Pre-trained language models have been applied to various NLP tasks with considerable performance gains.", "However, the large model sizes, together with the long inference time, limit the deployment of such models in real-time applications.", "One line of model compression approaches considers knowledge distil...
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[ "Text might contain or invoke multiple emotions with varying intensities.", "As such, emotion detection, to predict multiple emotions associated with a given text, can be cast into a multi-label classification problem.", "We would like to go one step further so that a ranked list of relevant emotions are genera...
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[ "Disfluencies in spontaneous speech are known to be associated with prosodic disruptions.", "However, most algorithms for disfluency detection use only word transcripts.", "Integrating prosodic cues has proved difficult because of the many sources of variability affecting the acoustic correlates.", "This pape...
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[ "Meetings are a key component of human collaboration.", "As increasing numbers of meetings are recorded and transcribed, meeting summaries have become essential to remind those who may or may not have attended the meetings about the key decisions made and the tasks to be completed.", "However, it is hard to cre...
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[ "The task of Fine-grained Entity Type Classification (FETC) consists of assigning types from a hierarchy to entity mentions in text.", "Existing methods rely on distant supervision and are thus susceptible to noisy labels that can be out-of-context or overly-specific for the training sentence.", "Previous metho...
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[ "Multilingual models, such as M-BERT and XLM-R, have gained increasing popularity, due to their zero-shot cross-lingual transfer learning capabilities.", "However, their generalization ability is still inconsistent for typologically diverse languages and across different benchmarks.", "Recently, meta-learning h...
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[ "Retrieval-based dialogue systems display an outstanding performance when pre-trained language models are used, which includes bidirectional encoder representations from transformers (BERT).", "During the multi-turn response selection, BERT focuses on training the relationship between the context with multiple ut...
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[ "Abstract Large Pre-trained Language Models (PLMs) have become ubiquitous in the development of language understanding technology and lie at the heart of many artificial intelligence advances.", "While advances reported for English using PLMs are unprecedented, reported advances using PLMs for Hebrew are few and ...
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[ "Existing continual relation learning ( CRL ) methods rely on plenty of labeled training data for learning a new task, which can be hard to acquire in real scenario as getting large and representative labeled data is often expensive and time-consuming.", "It is therefore necessary for the model to learn novel rel...
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[ "Despite inextricable ties between race and language, little work has considered race in NLP research and development.", "In this work, we survey 79 papers from the ACL anthology that mention race.", "These papers reveal various types of race-related bias in all stages of NLP model development, highlighting the...
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[ "Most data selection research in machine translation focuses on improving a single domain.", "We perform data selection for multiple domains at once.", "This is achieved by carefully introducing instance-level domain-relevance features and automatically constructing a training curriculum to gradually concentrat...
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[ "Automated simplification models aim to make input texts more readable.", "Such methods have the potential to make complex information accessible to a wider audience, e.g., providing access to recent medical literature which might otherwise be impenetrable for a lay reader.", "However, such models risk introduc...
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[ "We improve the informativeness of models for conditional text generation using techniques from computational pragmatics.", "These techniques formulate language production as a game between speakers and listeners, in which a speaker should generate output text that a listener can use to correctly identify the ori...
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[ "It is a common belief that training deep transformers from scratch requires large datasets.", "Consequently, for small datasets, people usually use shallow and simple additional layers on top of pre-trained models during fine-tuning.", "This work shows that this does not always need to be the case: with proper...
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[ "Atomic clauses are fundamental text units for understanding complex sentences.", "Identifying the atomic sentences within complex sentences is important for applications such as summarization, argument mining, discourse analysis, discourse parsing, and question answering.", "Previous work mainly relies on rule...
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[ "Ideal point models analyze lawmakers' votes to quantify their political positions, or ideal points.", "But votes are not the only way to express a political position.", "Lawmakers also give speeches, release press statements, and post tweets.", "In this paper, we introduce the text-based ideal point model ( ...
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[ "State-of-the-art abstractive summarization systems often generate hallucinations ; i.e., content that is not directly inferable from the source text.", "Despite being assumed incorrect, we find that much hallucinated content is factual, namely consistent with world knowledge.", "These factual hallucinations ca...
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[ "The goal of stance detection is to identify whether the author of a text is in favor of, neutral or against a specific target.", "Despite substantial progress on this task, one of the remaining challenges is the scarcity of annotations.", "Data augmentation is commonly used to address annotation scarcity by ge...
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[ "We explore the utilities of explicit negative examples in training neural language models.", "Negative examples here are incorrect words in a sentence, such as barks in * The dogs barks .", "Neural language models are commonly trained only on positive examples, a set of sentences in the training data, but re-c...
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[ "Propaganda can be defined as a form of communication that aims to influence the opinions or the actions of people towards a specific goal; this is achieved by means of well-defined rhetorical and psychological devices.", "Propaganda, in the form we know it today, can be dated back to the beginning of the 17th ce...
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[ "In this paper, we aim to learn associations between visual attributes of fonts and the verbal context of the texts they are typically applied to.", "Compared to related work leveraging the surrounding visual context, we choose to focus only on the input text as this can enable new applications for which the text...
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[ "Abstract The use of subword-level information (e.g., characters, character n-grams, morphemes) has become ubiquitous in modern word representation learning.", "Its importance is attested especially for morphologically rich languages which generate a large number of rare words.", "Despite a steadily increasing ...
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[ "Recently Graph Neural Network (GNN) has been used as a promising tool in multi-hop question answering task.", "However, the unnecessary updations and simple edge constructions prevent an accurate answer span extraction in a more direct and interpretable way.", "In this paper, we propose a novel model of Breadt...
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[ "Modeling what makes a request persuasive eliciting the desired response from a reader is critical to the study of propaganda, behavioral economics, and advertising.", "Yet current models can't quantify the persuasiveness of requests or extract successful persuasive strategies.", "Building on theories of persua...
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[ "Program induction for answering complex questions over knowledge bases (KBs) aims to decompose a question into a multi-step program, whose execution against the KB produces the final answer.", "Learning to induce programs relies on a large number of parallel question-program pairs for the given KB.", "However,...
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[ "We consider the problem of learning distributed representations for entities and relations of multi-relational data so as to predict missing links therein.", "Convolutional neural networks have recently shown their superiority for this problem, bringing increased model expressiveness while remaining parameter ef...
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[ "Exploiting natural language processing in the clinical domain requires de-identification, i.e., anonymization of personal information in texts.", "However, current research considers de-identification and downstream tasks, such as concept extraction, only in isolation and does not study the effects of de-identif...
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[ "We study the problem of multilingual masked language modeling, i.e. the training of a single model on concatenated text from multiple languages, and present a detailed study of several factors that influence why these models are so effective for cross-lingual transfer.", "We show, contrary to what was previously...
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[ "It is popular that neural graph-based models are applied in existing aspect-based sentiment analysis (ABSA) studies for utilizing word relations through dependency parses to facilitate the task with better semantic guidance for analyzing context and aspect words.", "However, most of these studies only leverage d...
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[ "Generating educational questions of fairytales or storybooks is vital for improving children's literacy ability.", "However, it is challenging to generate questions that capture the interesting aspects of a fairytale story with educational meaningfulness.", "In this paper, we propose a novel question generatio...
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[ "Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development.", "Recent work has proved that statistical language modeling with transformers can greatly improve the performance in the code completion task via learning from ...
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[ "Measuring document similarity plays an important role in natural language processing tasks.", "Most existing document similarity approaches suffer from the information gap caused by context and vocabulary mismatches when comparing varying-length texts.", "In this paper, we propose an unsupervised concept repre...
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[ "Hyounghun Kim", "Mohit Bansal", "Abstract Videos convey rich information.", "Dynamic spatio-temporal relationships between peo-ple/objects, and diverse multimodal events are present in a video clip.", "Hence, it is important to develop automated models that can accurately extract such information from vide...
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[ "Grammatical Error Correction (GEC) should focus not only on correction accuracy but also on the interpretability of the results for language learners.", "However, existing neural-based GEC models mostly focus on improving accuracy, while their interpretability has not been explored.", "Example-based methods ar...
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[ "Multi-hop question generation focuses on generating complex questions that require reasoning over multiple pieces of information of the input passage.", "Current models with state-of-the-art performance have been able to generate the correct questions corresponding to the answers.", "However, most models can n...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "abstain", "other", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "a...
[ "Due to the great potential in facilitating software development, code generation has attracted increasing attention recently.", "Generally, dominant models are Seq2Tree models, which convert the input natural language description into a sequence of tree-construction actions corresponding to the pre-order travers...
[ "abstain", "abstain", "abstain", "objective", "result", "objective", "other", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "res...
[ "English Natural Language Understanding (NLU) systems have achieved great performances and even outperformed humans on benchmarks like GLUE and SuperGLUE.", "However, these benchmarks contain only textbook Standard American English (SAE).", "Other dialects have been largely overlooked in the NLP community.", ...
[ "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "method", "method", "method", "abstain", "abstain", "abstain", "method", "objective", "objecti...
[ "The choice of token vocabulary affects the performance of machine translation.", "This paper aims to figure out what is a good vocabulary and whether one can find the optimal vocabulary without trial training.", "To answer these questions, we first provide an alternative understanding of the role of vocabulary...
[ "abstain", "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain",...
[ "Mohammad Sadegh Rasooli Facebook AI Menlo Park, CA, USA rasooli@fb.com", "Abstract", "We describe a cross-lingual transfer method for dependency parsing that takes into account the problem of word order differences between source and target languages.", "Our model only relies on the Bible, a considerably sma...
[ "abstain", "abstain", "method", "method", "method", "objective", "result", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", "objective", "method", "result", "result", "objective", "objective", "objective", "abstain", "abstain", "a...
[ "Building curious machines that can answer as well as ask questions is an important challenge for AI.", "The two tasks of question answering and question generation are usually tackled separately in the NLP literature.", "At the same time, both require significant amounts of supervised data which is hard to obt...
[ "abstain", "abstain", "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "abstain", "method", "method", "abs...
[ "In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner layers.", "Bidirectional LSTM (BiLSTM) and graph convolutional ...
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[ "Despite their impressive performance in NLP, self-attention networks were recently proved to be limited for processing formal languages with hierarchical structure, such as Dyck k , the language consisting of well-nested parentheses of k types.", "This suggested that natural language can be approximated well wit...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain...
[ "Frame-based state representation is widely used in modern task-oriented dialog systems to model user intentions and slot values.", "However, a fixed design of domain ontology makes it difficult to extend to new services and APIs.", "Recent work proposed to use natural language descriptions to define the domain...
[ "abstain", "abstain", "abstain", "method", "abstain", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abs...
[ "Word embeddings are widely used in NLP for a vast range of tasks.", "It was shown that word embeddings derived from text corpora reflect gender biases in society.", "This phenomenon is pervasive and consistent across different word embedding models, causing serious concern.", "Several recent works tackle thi...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "method", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "method", "abstain", "other", "...
[ "Natural Language Inference (NLI) has garnered significant attention in recent years; however, the promise of applying NLI breakthroughs to other downstream NLP tasks has remained unfulfilled.", "In this work, we use the multiple-choice reading comprehension (MCRC) and checking factual correctness of textual summ...
[ "abstain", "objective", "result", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "method", "abstain", "method", "method", "abstain", "method", "objective", "result", "objective", "other", "other", "other", "other", "other", "other", "ot...
[ "Although teacher forcing has become the main training paradigm for neural machine translation, it usually makes predictions only conditioned on past information, and hence lacks global planning for the future.", "To address this problem, we introduce another decoder, called seer decoder, into the encoder-decoder...
[ "abstain", "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain"...
[ "Coreference resolution is an important component in analyzing narrative text from administrative data (e.g., clinical or police sources).", "However, existing coreference models trained on general language corpora suffer from poor transferability due to domain gaps, especially when they are applied to gender-inc...
[ "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "Existed pre-training methods either focus on single-modal tasks or multi-modal tasks, and cannot effectively adapt to each other.", "They can only utilize single-modal data (i.e., text or image) or limited multi-modal data (i.e., image-text pairs).", "In this work, we propose a UNIfied-MOdal pre-training archi...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abs...
[ "Pre-trained word vectors are ubiquitous in Natural Language Processing applications.", "In this paper, we show how training word embeddings jointly with bigram and even trigram embeddings, results in improved unigram embeddings.", "We claim that training word embeddings along with higher n-gram embeddings help...
[ "abstain", "result", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "objective", "result", "abstain", "result", "method", "abstain", "abstain", "other", "abstain", "abstain", "abstain", ...
[ "Challenging problems such as open-domain question answering, fact checking, slot filling and entity linking require access to large, external knowledge sources.", "While some models do well on individual tasks, developing general models is difficult as each task might require computationally expensive indexing o...
[ "abstain", "abstain", "method", "abstain", "method", "result", "other", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training.", "When in-domain labelled data is available, transfer learning techniques can be used to adapt existing NER models to the target domain.", "But what should one ...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "other", "method", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "objective", "obje...
[ "Fake news detection is crucial for preventing the dissemination of misinformation on social media.", "To differentiate fake news from real ones, existing methods observe the language patterns of the news post and zoom in to verify its content with knowledge sources or check its readers' replies.", "However, th...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain...
[ "To alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR).", "However, there still remains a large discrepancy between the provided upstream signals and the downstream question-passage relevance, whic...
[ "abstain", "abstain", "objective", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "method", "objective", "objective", "objective", "abstain", "abstain...
[ "Tencent AI Lab, Shenzhen, China { pijili,hansonzhang,kieranliu,shumingshi } @tencent.com", "Abstract", "Neural text generation has made tremendous progress in various tasks.", "One common characteristic of most of the tasks is that the texts are not restricted to some rigid formats when generating.", "Howe...
[ "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "result", "abstain", "objective", "other", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abst...
[ "The problem of detecting psychological stress in online posts, and more broadly, of detecting people in distress or in need of help, is a sensitive application for which the ability to interpret models is vital.", "Here, we present work exploring the use of a semantically related task, emotion detection, for equ...
[ "abstain", "objective", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "result", "other", "other", ...
[ "Evidence retrieval is a critical stage of question answering (QA), necessary not only to improve performance, but also to explain the decisions of the corresponding QA method.", "We introduce a simple, fast, and unsupervised iterative evidence retrieval method, which relies on three ideas:", "(a) an unsupervis...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "resul...
[ "In this paper, we propose SkipBERT to accelerate BERT inference by skipping the computation of shallow layers.", "To achieve this, our approach encodes small text chunks into independent representations, which are then materialized to approximate the shallow representation of BERT.", "Since the use of such app...
[ "objective", "result", "method", "result", "result", "method", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "objective", "abstain", "abstain", "method", "abstain", "method", "objective", "abstain", "abstain", "abstain", "result"...
[ "The connection between the maximum spanning tree in a directed graph and the best dependency tree of a sentence has been exploited by the NLP community.", "However, for many dependency parsing schemes, an important detail of this approach is that the spanning tree must have exactly one edge emanating from the ro...
[ "abstain", "abstain", "abstain", "abstain", "result", "method", "result", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "result", "result", "result", "abstain", "result", "abstain", "abstain", "method", "abstain", "abstain", "abstain", ...
[ "For over a decade, machine learning has been used to extract opinion-holder-target structures from text to answer the question Who expressed what kind of sentiment towards what?", ".", "Recent neural approaches do not outperform the state-of-the-art feature-based models for Opinion Role Labeling (ORL).", "We...
[ "abstain", "abstain", "abstain", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "absta...
[ "In lexicalist linguistic theories, argument structure is assumed to be predictable from the meaning of verbs.", "As a result, the verb is the primary determinant of the meaning of a clause.", "In contrast, construction grammarians propose that argument structure is encoded in constructions (or form-meaning pai...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "res...
[ "Morphological analysis (MA) and lexical normalization (LN) are both important tasks for Japanese user-generated text (UGT).", "To evaluate and compare different MA/LN systems, we have constructed a publicly available Japanese UGT corpus.", "Our corpus comprises 929 sentences annotated with morphological and no...
[ "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "method", "result", "objective", "abstain", "abstain", "other", "abstain", "abstain", "other", "result", "abstain", "abstain", ...
[ "Learning high-quality sentence representations is a fundamental problem of natural language processing which could benefit a wide range of downstream tasks.", "Though the BERT-like pre-trained language models have achieved great success, using their sentence representations directly often results in poor perform...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "We address the task of explaining relationships between two scientific documents using natural language text.", "This task requires modeling the complex content of long technical documents, deducing a relationship between these documents, and expressing that relationship in text.", "Successful solutions can he...
[ "method", "abstain", "abstain", "method", "method", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "absta...
[ "Fact Verification requires fine-grained natural language inference capability that finds subtle clues to identify the syntactical and semantically correct but not well-supported claims.", "This paper presents Kernel Graph Attention Network (KGAT), which conducts more fine-grained fact verification with kernel-ba...
[ "abstain", "method", "abstain", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "other", "other", "other", ...
[ "We propose VALSE ( V ision A nd L anguage S tructured E valuation), a novel benchmark designed for testing general-purpose pretrained vision and language (V&L) models for their visio-linguistic grounding capabilities on specific linguistic phenomena .", "VALSE offers a suite of six tests covering various linguis...
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[ "Learning disentangled representations of natural language is essential for many NLP tasks, e.g. , conditional text generation, style transfer, personalized dialogue systems, etc .", "Similar problems have been studied extensively for other forms of data, such as images and videos.", "However, the discrete natu...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "other", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Approaches to Grounded Language Learning typically focus on a single task-based final performance measure that may not depend on desirable properties of the learned hidden representations, such as their ability to predict salient attributes or to generalise to unseen situations.", "To remedy this, we present GRO...
[ "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "abstain...
[ "The mapping of lexical meanings to wordforms is a major feature of natural languages.", "While usage pressures might assign short words to frequent meanings (Zipf's law of abbreviation), the need for a productive and open-ended vocabulary, local constraints on sequences of symbols, and various other factors all ...
[ "abstain", "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Text summarization aims to generate a short summary for an input text.", "In this work, we propose a Non-Autoregressive Unsupervised Summarization (NAUS) approach, which does not require parallel data for training.", "Our NAUS first performs edit-based search towards a heuristically defined score, and generate...
[ "abstain", "objective", "objective", "result", "objective", "abstain", "method", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "...
[ "Recent work in multilingual machine translation (MMT) has focused on the potential of positive transfer between languages, particularly cases where higher-resourced languages can benefit lower-resourced ones.", "While training an MMT model, the supervision signals learned from one language pair can be transferre...
[ "abstain", "abstain", "abstain", "objective", "objective", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "method", "objective", "abstain", ...
[ "In this work, we present an information-theoretic framework that formulates cross-lingual language model pre-training as maximizing mutual information between multilingual-multi-granularity texts.", "The unified view helps us to better understand the existing methods for learning cross-lingual representations.",...
[ "method", "abstain", "objective", "method", "result", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "abstain", "method", "objective", "abstain", "abstain", "abstain", "objective", "objective", "meth...
[ "In modular dialogue systems, natural language understanding (NLU) and natural language generation (NLG) are two critical components, where NLU extracts the semantics from the given texts and NLG is to construct corresponding natural language sentences based on the input semantic representations.", "However, the ...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain",...
[ "We argue that semantic meanings of a sentence or clause can not be interpreted independently from the rest of a paragraph, or independently from all discourse relations and the overall paragraph-level discourse structure.", "With the goal of improving implicit discourse relation classification, we introduce a pa...
[ "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "objective", "objective", "abstain", "method", "abstain", "o...
[ "In this paper, we propose a novel representation for text documents based on aggregating word embedding vectors into document embeddings.", "Our approach is inspired by the Vector of Locally-Aggregated Descriptors used for image representation, and it works as follows.", "First, the word embeddings gathered fr...
[ "objective", "method", "abstain", "abstain", "abstain", "result", "objective", "result", "abstain", "other", "other", "abstain", "other", "other", "objective", "method", "objective", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstai...
[ "Most chatbot literature that focuses on improving the fluency and coherence of a chatbot, is dedicated to making chatbots more humanlike.", "However, very little work delves into what really separates humans from chatbots humans intrinsically understand the effect their responses have on the interlocutor and of...
[ "abstain", "abstain", "objective", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective",...
[ "Reasoning about tabular information presents unique challenges to modern NLP approaches which largely rely on pre-trained contextualized embeddings of text.", "In this paper, we study these challenges through the problem of tabular natural language inference.", "We propose easy and effective modifications to h...
[ "abstain", "method", "objective", "result", "abstain", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "State-of-the-art unsupervised multilingual models (e.g., multilingual BERT) have been shown to generalize in a zero-shot crosslingual setting.", "This generalization ability has been attributed to the use of a shared subword vocabulary and joint training across multiple languages giving rise to deep multilingual...
[ "abstain", "abstain", "objective", "objective", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", ...
[ "Complete Multi-lingual Neural Machine Translation (C-MNMT) achieves superior performance against the conventional MNMT by constructing multi-way aligned corpus, i.e., aligning bilingual training examples from different language pairs when either their source or target sides are identical.", "However, since exact...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain", "abstain", "result", "abstain", "other", "objective", "objective", "abstain", "abstain", "abstain", "o...
[ "In relation extraction with distant supervision, noisy labels make it difficult to train quality models.", "Previous neural models addressed this problem using an attention mechanism that attends to sentences that are likely to express the relations.", "We improve such models by combining the distant supervisi...
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[ "Pooling is an important technique for learning text representations in many neural NLP models.", "In conventional pooling methods such as average, max and attentive pooling, text representations are weighted summations of the L 1 or L norm of input features.", "However, their pooling norms are always fixed an...
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[ "Distance based knowledge graph embedding methods show promising results on link prediction task, on which two topics have been widely studied: one is the ability to handle complex relations, such as N-to-1, 1-to-N and N-to-N, the other is to encode various relation patterns, such as symmetry/antisymmetry.", "How...
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[ "Due to large number of entities in biomedical knowledge bases, only a small fraction of entities have corresponding labelled training data.", "This necessitates entity linking models which are able to link mentions of unseen entities using learned representations of entities.", "Previous approaches link each m...
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[ "This paper discusses the importance of uncovering uncertainty in end-to-end dialog tasks and presents our experimental results on uncertainty classification on the processed Ubuntu Dialog Corpus 1 .", "We show that instead of retraining models for this specific purpose, we can capture the original retrieval mode...
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[ "Speech translation (ST) aims to learn transformations from speech in the source language to the text in the target language.", "Previous works show that multitask learning improves the ST performance, in which the recognition decoder generates the text of the source language, and the translation decoder obtains ...
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[ "Text generation with generative adversarial networks (GANs) can be divided into the text-based and code-based categories according to the type of signals used for discrimination.", "In this work, we introduce a novel text-based approach called Soft-GAN to effectively exploit GAN setup for text generation.", "W...
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[ "This position paper investigates the problem of automated text anonymisation , which is a prerequisite for secure sharing of documents containing sensitive information about individuals.", "We summarise the key concepts behind text anonymisation and provide a review of current approaches.", "Anonymisation meth...
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[ "Abstract", "Traditional approaches to semantic parsing (SP) work by training individual models for each available parallel dataset of text-meaning pairs.", "In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing models that are trained on multiple datasets and natural...
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[ "Modeling hypernymy, such as poodle is-a dog , is an important generalization aid to many NLP tasks, such as entailment, coreference, relation extraction, and question answering.", "Supervised learning from labeled hypernym sources, such as WordNet, limits the coverage of these models, which can be addressed by l...
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[ "Representation learning approaches for knowledge graphs have been mostly designed for static data.", "However, many knowledge graphs involve evolving data, e.g., the fact (The President of the United States is Barack Obama) is valid only from 2009 to 2017.", "This introduces important challenges for knowledge ...
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