sentences
list
labels
list
[ "Continual relation learning aims to continually train a model on new data to learn incessantly emerging novel relations while avoiding catastrophically forgetting old relations.", "Some pioneering work has proved that storing a handful of historical relation examples in episodic memory and replaying them in subs...
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[ "Question Answering (QA) has shown great success thanks to the availability of large-scale datasets and the effectiveness of neural models.", "Recent research works have attempted to extend these successes to the settings with few or no labeled data available.", "In this work, we introduce two approaches to imp...
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[ "Video Question Answering is a task which requires an AI agent to answer questions grounded in video.", "This task entails three key challenges: (1) understand the intention of various questions, (2) capturing various elements of the input video ( e.g., object, action, causality), and (3) cross-modal grounding be...
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[ "Complex question answering over knowledge base (Complex KBQA) is challenging because it requires various compositional reasoning capabilities, such as multi-hop inference, attribute comparison, set operation.", "Existing benchmarks have some shortcomings that limit the development of Complex KBQA: 1) they only p...
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[ "We release a new benchmark for lexical substitution, the task of finding appropriate substitutes for a target word in a context.", "For writing, lexical substitution systems can assist humans by suggesting words that humans cannot easily think of.", "However, existing benchmarks depend on human recall as the o...
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[ "Sequence-to-sequence (seq2seq) network is a well-established model for text summarization task.", "It can learn to produce readable content; however, it falls short in effectively identifying key regions of the source.", "In this paper, we approach the content selection problem for clinical abstractive summari...
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[ "The majority of current systems for end-to-end dialog generation focus on response quality without an explicit control over the affective content of the responses.", "In this paper, we present an affect-driven dialog system, which generates emotional responses in a controlled manner using a continuous representa...
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[ "Bigrams (two-word sequences) hold a special place in semantic composition research since they are the smallest unit formed by composing words.", "A semantic relatedness dataset that includes bigrams will thus be useful in the development of automatic methods of semantic composition.", "However, existing relate...
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[ "When intelligent agents communicate to accomplish shared goals, how do these goals shape the agents' language?", "We study the dynamics of learning in latent language policies (LLPs), in which instructor agents generate natural-language subgoal descriptions and executor agents map these descriptions to low-level...
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[ "Thanks to the wealth of high-quality annotated images available in popular repositories such as ImageNet, multimodal language-vision research is in full bloom.", "However, events, feelings and many other kinds of concepts which can be visually grounded are not well represented in current datasets.", "Neverthel...
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[ "Chinese is a logographic writing system, and the shape of Chinese characters contain rich syntactic and semantic information.", "In this paper, we propose a model to learn Chinese word embeddings via three-level composition: (1) a convolutional neural network to extract the intra-character compositionality from ...
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[ "Currently, Medical Subject Headings (MeSH) are manually assigned to every biomedical article published and subsequently recorded in the PubMed database to facilitate retrieving relevant information.", "With the rapid growth of the PubMed database, large-scale biomedical document indexing becomes increasingly imp...
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[ "In this paper, we study the effect of commonsense and domain knowledge while generating responses in counseling conversations using retrieval and generative methods for knowledge integration.", "We propose a pipeline that collects domain knowledge through web mining, and show that retrieval from both domain-spec...
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[ "Most previous methods for text data augmentation are limited to simple tasks and weak baselines.", "We explore data augmentation on hard tasks (i.e., few-shot natural language understanding) and strong baselines (i.e., pretrained models with over one billion parameters).", "Under this setting, we reproduced a ...
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[ "Ontologies compartmentalize types and relations in a target domain and provide the semantic backbone needed for a plethora of practical applications.", "Very often different ontologies are developed independently for the same domain.", "Such parallel ontologies raise the need for a process that will establish ...
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[ "In adversarial data collection (ADC), a human workforce interacts with a model in real time, attempting to produce examples that elicit incorrect predictions.", "Researchers hope that models trained on these more challenging datasets will rely less on superficial patterns, and thus be less brittle.", "However,...
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[ "Recent work on the interpretability of deep neural language models has concluded that many properties of natural language syntax are encoded in their representational spaces.", "However, such studies often suffer from limited scope by focusing on a single language and a single linguistic formalism.", "In this ...
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[ "This paper presents a novel, data-driven language model that produces entire lyrics for a given input melody.", "Previously proposed models for lyrics generation suffer from the inability of capturing the relationship between lyrics and melody partly due to the unavailability of lyrics-melody aligned data.", "...
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[ "In this paper, we investigate improvements to the GEC sequence tagging architecture with a focus on ensembling of recent cutting-edge Transformer-based encoders in Large configurations.", "We encourage ensembling models by majority votes on span-level edits because this approach is tolerant to the model architec...
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[ "An educated and informed consumption of media content has become a challenge in mod-ern times.", "With the shift from traditional news outlets to social media and similar venues, a major concern is that readers are becoming encapsulated in echo chambers and may fall prey to fake news and disinformation, lacking ...
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[ "This paper proposes an approach for applying GANs to NMT.", "We build a conditional sequence generative adversarial net which comprises of two adversarial sub models, a generator and a discriminator.", "The generator aims to generate sentences which are hard to be discriminated from human-translated sentences ...
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[ "Although BERT and its variants have reshaped the NLP landscape, it still remains unclear how best to derive sentence embeddings from such pre-trained Transformers.", "In this work, we propose a contrastive learning method that utilizes self-guidance for improving the quality of BERT sentence representations.", ...
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[ "Sequence-to-sequence transduction is the core problem in language processing applications as diverse as semantic parsing, machine translation, and instruction following.", "The neural network models that provide the dominant solution to these problems are brittle, especially in low-resource settings: they fail t...
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[ "Many tasks aim to measure MACHINE READING COMPREHENSION (MRC), often focusing on question types presumed to be difficult.", "Rarely, however, do task designers start by considering what systems should in fact comprehend.", "In this paper we make two key contributions.", "First, we argue that existing approac...
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[ "The design of expressive representations of entities and relations in a knowledge graph is an important endeavor.", "While many of the existing approaches have primarily focused on learning from relational patterns and structural information, the intrinsic complexity of KG entities has been more or less overlook...
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[ "Deep NLP models have been shown to be brittle to input perturbations.", "Recent work has shown that data augmentation using counterfactuals i.e. minimally perturbed inputs can help ameliorate this weakness.", "We focus on the task of creating counterfactuals for question answering, which presents unique chal...
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[ "Pretraining and multitask learning are widely used to improve the speech to text translation performance.", "In this study, we are interested in training a speech to text translation model along with an auxiliary text to text translation task.", "We conduct a detailed analysis to understand the impact of the a...
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[ "Current research on spoken language translation (SLT) has to confront with the scarcity of sizeable and publicly available training corpora.", "This problem hinders the adoption of neural end-to-end approaches, which represent the state of the art in the two parent tasks of SLT: automatic speech recognition and ...
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[ "When answering natural language questions over knowledge bases (KBs), different question components and KB aspects play different roles.", "However, most existing embedding-based methods for knowledge base question answering (KBQA) ignore the subtle interrelationships between the question and the KB (e.g., entit...
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[ "Recent years have witnessed growing interests in incorporating external knowledge such as pre-trained word embeddings (PWEs) or pre-trained language models (PLMs) into neural topic modeling.", "However, we found that employing PWEs and PLMs for topic modeling only achieved limited performance improvements but wi...
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[ "Many applications of computational social science aim to infer causal conclusions from nonexperimental data.", "Such observational data often contains confounders , variables that influence both potential causes and potential effects.", "Unmeasured or latent confounders can bias causal estimates, and this has ...
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[ "Multi-head attentive neural architectures have achieved state-of-the-art results on a variety of natural language processing tasks.", "Evidence has shown that they are overparameter-ized; attention heads can be pruned without significant performance loss.", "In this work, we instead reallocate themthe model le...
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[ "We examine the new task of detecting derogatory compounds (e.g. curry muncher ).", "Derogatory compounds are much more difficult to detect than derogatory unigrams (e.g. idiot ) since they are more sparsely represented in lexical resources previously found effective for this task (e.g. Wiktionary).", "We propo...
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[ "Visual Dialog is a multi-modal task that requires a model to participate in a multi-turn human dialog grounded on an image, and generate correct, human-like responses.", "In this paper, we propose a novel Adversarial Multimodal Feature Encoding (AMFE) framework for effective and robust auxiliary training of visu...
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[ "The ICD coding task aims at assigning codes of the International Classification of Diseases in clinical notes.", "Since manual coding is very laborious and prone to errors, many methods have been proposed for the automatic ICD coding task.", "However, existing works either ignore the long-tail of code frequenc...
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[ "Functional Distributional Semantics provides a linguistically interpretable framework for distributional semantics, by representing the meaning of a word as a function (a binary clas-sifier), instead of a vector.", "However, the large number of latent variables means that inference is computationally expensive, ...
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[ "Efficient structure encoding for graphs with labeled edges is an important yet challenging point in many graph-based models.", "This work focuses on AMR-to-text generation A graph-to-sequence task aiming to recover natural language from Abstract Meaning Representations (AMR).", "Existing graph-to-sequence app...
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[ "Despite the well-developed cut-edge representation learning for language, most language representation models usually focus on specific levels of linguistic units.", "This work introduces universal language representation learning, i.e., embeddings of different levels of linguistic units or text with quite diver...
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[ "Attention mechanisms are ubiquitous components in neural architectures applied to natural language processing.", "In addition to yielding gains in predictive accuracy, attention weights are often claimed to confer interpretability , purportedly useful both for providing insights to practitioners and for explaini...
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[ "There has been a growing interest in developing machine learning (ML) models for code summarization tasks, e.g., comment generation and method naming.", "Despite substantial increase in the effectiveness of ML models, the evaluation methodologies, i.e., the way people split datasets into training, validation, an...
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[ "Document grounded generation is the task of using the information provided in a document to improve text generation.", "This work focuses on two different document grounded generation tasks: Wikipedia Update Generation task and Dialogue response generation .", "Our work introduces two novel adaptations of larg...
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[ "Prior studies have found that women self-promote less than men due to gender stereotypes.", "In this study we built a BERT-based NLP model to predict whether a Congressional tweet shows self-promotion or not and then used this model to examine whether a gender gap in self-promotion exists among Congressional twe...
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[ "Conversational Question Simplification (CQS) aims to simplify self-contained questions into conversational ones by incorporating some conversational characteristics, e.g., anaphora and ellipsis.", "Existing maximum likelihood estimation based methods often get trapped in easily learned tokens as all tokens are t...
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[ "Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have been characterized by a diverse range of architectures and objectives.", "Although these systems have been surveyed in the medical community from a non-technical perspective, a systematic review from a rigorous computation...
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[ "Pretrained neural models such as BERT, when fine-tuned to perform natural language inference (NLI), often show high accuracy on standard datasets, but display a surprising lack of sensitivity to word order on controlled challenge sets.", "We hypothesize that this issue is not primarily caused by the pretrained m...
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[ "This paper introduces the Webis Gmane Email Corpus 2019, the largest publicly available and fully preprocessed email corpus to date.", "We crawled more than 153 million emails from 14,699 mailing lists and segmented them into semantically consistent components using a new neural segmentation model.", "With 96%...
[ "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other"...
[ "Unsupervised document representation learning is an important task providing pre-trained features for NLP applications.", "Unlike most previous work which learn the embedding based on self-prediction of the surface of text, we explicitly exploit the inter-document information and directly model the relations of ...
[ "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "ab...
[ "Maximilian Nickel Facebook AI Research maxn@fb.com", "We investigate grounded sentence representations, where we train a sentence encoder to predict the image features of a given caption i.e., we try to imagine how a sentence would be depicted visuallyand use the resultant features as sentence representations.",...
[ "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "objective", "objective", "abstain", "method", "abstain", "abstain", "method", "abstain", "result", "method", "objective", ...
[ "Extracting relational triples from unstructured text is crucial for large-scale knowledge graph construction.", "However, few existing works excel in solving the overlapping triple problem where multiple relational triples in the same sentence share the same entities.", "In this work, we introduce a fresh pers...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "News events are often associated with quantities (e.g., the number of COVID-19 patients or the number of arrests in a protest), and it is often important to extract their type, time, and location from unstructured text in order to analyze these quantity events.", "This paper thus formulates the NLP problem of sp...
[ "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "objective", "other", "result", "objective", "objective", "objective", "abstain", "result", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "In Community-based Question Answering system(CQA), Answer Selection(AS) is a critical task, which focuses on finding a suitable answer within a list of candidate answers.", "For neural network models, the key issue is how to model the representations of QA text pairs and calculate the interactions between them."...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Targeted syntactic evaluations have demonstrated the ability of language models to perform subject-verb agreement given difficult contexts.", "To elucidate the mechanisms by which the models accomplish this behavior, this study applies causal mediation analysis to pre-trained neural language models.", "We inve...
[ "abstain", "method", "objective", "objective", "result", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "result", "other", "other",...
[ "Increasing the input length has been a driver of progress in language modeling with transformers.", "We identify conditions where shorter inputs are not harmful, and achieve perplexity and efficiency improvements through two new methods that decrease input length.", "First, we show that initially training a mo...
[ "abstain", "objective", "objective", "result", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "objective", "result", "result", "method", "abstain", "abstain", "abstain", "method", "objective", "abstain", "objective", ...
[ "Polysynthetic languages have exceptionally large and sparse vocabularies, thanks to the number of morpheme slots and combinations in a word.", "This complexity, together with a general scarcity of written data, poses a challenge to the development of natural language technologies.", "To address this challenge,...
[ "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "method", "...
[ "A commonly observed problem with the state-of-the art abstractive summarization models is that the generated summaries can be factually inconsistent with the input documents.", "The fact that automatic summarization may produce plausible-sounding yet inaccurate summaries is a major concern that limits its wide a...
[ "abstain", "abstain", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "abstain", "abstain", "objective", "objective", ...
[ "Lexically-constrained sequence decoding allows for explicit positive or negative phrase-based constraints to be placed on target output strings in generation tasks such as machine translation or monolingual text rewriting.", "We describe vectorized dynamic beam allocation, which extends work in lexically-constra...
[ "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "Sentence ordering is the task of arranging the sentences of a given text in the correct order.", "Recent work using deep neural networks for this task has framed it as a sequence prediction problem.", "In this paper, we propose a new framing of this task as a constraint solving problem and introduce a new tech...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abs...
[ "Information integration from different modalities is an active area of research.", "Human beings and, in general, biological neural systems are quite adept at using a multitude of signals from different sensory perceptive fields to interact with the environment and each other.", "Recent work in deep fusion mod...
[ "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "method", "abstain", "result", "abstain", "abs...
[ "Real-world natural language processing (NLP) models need to be continually updated to fix the prediction errors in out-of-distribution (OOD) data streams while overcoming catastrophic forgetting.", "However, existing continual learning (CL) problem setups cannot cover such a realistic and complex scenario.", "...
[ "abstain", "abstain", "objective", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "method", "objective",...
[ "Yifan Hou Department of Computer Science ETH Zurich yifan.hou@inf.ethz.ch", "Abstract NLP has a rich history of representing our prior understanding of language in the form of graphs.", "Recent work on analyzing contextualized text representations has focused on hand-designed probe models to understand how and...
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[ "Nowadays, the interpretability of machine learning models is becoming increasingly important, especially in the medical domain.", "Aiming to shed some light on how to rationalize medical relation prediction, we present a new interpretable framework inspired by existing theories on how human memory works, e.g., t...
[ "abstain", "objective", "objective", "result", "result", "abstain", "other", "objective", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", ...
[ "Unsupervised neural machine translation (UNMT) that relies solely on massive monolingual corpora has achieved remarkable results in several translation tasks.", "However, in real-world scenarios, massive monolingual corpora do not exist for some extremely low-resource languages such as Estonian, and UNMT systems...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstai...
[ "Human conversations naturally evolve around related concepts and scatter to multi-hop concepts.", "This paper presents a new conversation generation model, ConceptFlow, which leverages commonsense knowledge graphs to explicitly model conversation flows.", "By grounding conversations to the concept space, Conce...
[ "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abst...
[ "The rise of online communication platforms has been accompanied by some undesirable effects, such as the proliferation of aggressive and abusive behaviour online.", "Aiming to tackle this problem, the natural language processing (NLP) community has experimented with a range of techniques for abuse detection.", ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", "abstain", "method", "objective", "result", "objective", "objective", "abstain", "objective", "method...
[ "Natural disasters (e.g., hurricanes) affect millions of people each year, causing widespread destruction in their wake.", "People have recently taken to social media websites (e.g., Twitter) to share their sentiments and feelings with the larger community.", "Consequently, these platforms have become instrumen...
[ "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "method", "result", "method", "method", "abstain", "result", "abstain", ...
[ "Causal inference is the process of capturing cause-effect relationship among variables.", "Most existing works focus on dealing with structured data, while mining causal relationship among factors from unstructured data, like text, has been less examined, but is of great importance, especially in the legal do-ma...
[ "abstain", "abstain", "objective", "method", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "other", "method", "abstain", ...
[ "Natural language processing (NLP) algorithms have become very successful, but they still struggle when applied to out-of-distribution examples.", "In this paper we propose a controllable generation approach in order to deal with this domain adaptation (DA) challenge.", "Given an input text example, our DoCoGen...
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[ "Text analytics is a useful tool for studying malware behavior and tracking emerging threats.", "The task of automated malware attribute iden-tification based on cybersecurity texts is very challenging due to a large number of malware attribute labels and a small number of training instances.", "In this paper, ...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "objective",...
[ "The few-shot natural language understanding (NLU) task has attracted much recent attention.", "However, prior methods have been evaluated under a disparate set of protocols, which hinders fair comparison and measuring progress of the field.", "To address this issue, we introduce an evaluation framework that im...
[ "abstain", "abstain", "result", "objective", "other", "method", "abstain", "abstain", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "objective", "result", "abstain", "method", "obje...
[ "In the field of dialogue summarization, due to the lack of training data, it is often difficult for supervised summary generation methods to learn vital information from dialogue context.", "Several works on unsupervised summarization for document by leveraging semantic information solely or auto-encoder strateg...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "...
[ "Recent studies have achieved inspiring success in unsupervised grammar induction using masked language modeling (MLM) as the proxy task.", "Despite their high accuracy in identifying low-level structures, prior arts tend to struggle in capturing high-level structures like clauses, since the MLM task usually only...
[ "abstain", "abstain", "abstain", "objective", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "method", "objective", "abstain",...
[ "Understanding discourse structures of news articles is vital to effectively contextualize the occurrence of a news event.", "To enable computational modeling of news structures, we apply an existing theory of functional discourse structure for news articles that revolves around the main event and create a human-...
[ "abstain", "method", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "method", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "method", "abstain", "abstain", "abstain", "m...
[ "Word alignment, which aims to align translationally equivalent words between source and target sentences, plays an important role in many natural language processing tasks.", "Current unsupervised neural alignment methods focus on inducing alignments from neural machine translation models, which does not leverag...
[ "abstain", "abstain", "objective", "method", "abstain", "abstain", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "obje...
[ "We introduce SPARTA, a novel neural retrieval method that shows great promise in performance, generalization, and interpretability for open-domain question answering.", "Unlike many neural ranking methods that use dense vector nearest neighbor search, SPARTA learns a sparse representation that can be efficiently...
[ "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", ...
[ "Sarcasm is a sophisticated linguistic phenomenon to express the opposite of what one really means.", "With the rapid growth of social media, multimodal sarcastic tweets are widely posted on various social platforms.", "In multimodal context, sarcasm is no longer a pure linguistic phenomenon, and due to the nat...
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[ "Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.", "There exist seven subtasks in ABSA.", "Most studies only focus on the subsets of these subtasks, which leads to various complicated ABSA models while hard to solve these...
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[ "Operational risk management is one of the biggest challenges nowadays faced by financial institutions.", "There are several major challenges of building a text classification system for automatic operational risk prediction, including imbalanced labeled/unlabeled data and lacking interpretability.", "To tackle...
[ "abstain", "abstain", "method", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abs...
[ "Spoken language understanding, usually including intent detection and slot filling, is a core component to build a spoken dialog system.", "Recent research shows promising results by jointly learning of those two tasks based on the fact that slot filling and intent detection are sharing semantic knowledge.", "...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "Document clustering requires a deep understanding of the complex structure of long-text; in particular, the intra-sentential ( local ) and inter-sentential features ( global ).", "Existing representation learning models do not fully capture these features.", "To address this, we present a novel graph-based rep...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", ...
[ "Chinese short text matching usually employs word sequences rather than character sequences to get better performance.", "However, Chinese word segmentation can be erroneous, ambiguous or inconsistent, which consequently hurts the final matching performance.", "To address this problem, we propose neural graph m...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "ab...
[ "Scholars in inter-disciplinary fields like the Digital Humanities are increasingly interested in semantic annotation of specialized corpora.", "Yet, under-resourced languages, imperfect or noisily structured data, and user-specific classification tasks make it difficult to meet their needs using off-the-shelf mo...
[ "abstain", "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "abst...
[ "Current approaches to testing and debugging NLP models rely on highly variable human creativity and extensive labor, or only work for a very restrictive class of bugs.", "We present AdaTest, a process which uses large scale language models (LMs) in partnership with human feedback to automatically write unit test...
[ "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "other", "abstain", "abstain", ...
[ "Stance detection on social media can help to identify and understand slanted news or commentary in everyday life.", "In this work, we propose a new model for zero-shot stance detection on Twitter that uses adversarial learning to generalize across topics.", "Our model achieves state-of-the-art performance on a...
[ "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objectiv...
[ "Active learning promises to alleviate the massive data needs of supervised machine learning: it has successfully improved sample efficiency by an order of magnitude on traditional tasks like topic classification and object recognition.", "However, we uncover a striking contrast to this promise: across 5 models a...
[ "abstain", "objective", "method", "result", "result", "method", "abstain", "abstain", "other", "abstain", "abstain", "result", "abstain", "result", "method", "method", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "result", "result", "ab...
[ "Knowledge-intensive tasks such as question answering often require assimilating information from different sections of large inputs such as books or article collections.", "We propose READTWICE 1 , a simple and effective technique that combines several strengths of prior approaches to model long-range dependenci...
[ "abstain", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "...
[ "Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor.", "The former seeks the most relevant information from a reference text, while the latter is to locate or generate answers from the e...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "object...
[ "In this study, we investigate robustness against covariate drift in spoken language understanding (SLU).", "Covariate drift can occur in SLU when there is a drift between training and testing regarding what users request or how they request it.", "To study this we propose a method that exploits natural variati...
[ "objective", "abstain", "objective", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "method", "abstain", "abstain",...
[ "Predicting the emotional value of lexical items is a well-known problem in sentiment analysis.", "While research has focused on polarity for quite a long time, meanwhile this early focus has been shifted to more expressive emotion representation models (such as Basic Emotions or Valence-Arousal-Dominance).", "...
[ "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "objective", "other", "objective", "objective", "method", "result", "abstain", "ab...
[ "Distant supervision based methods for entity and relation extraction have received increasing popularity due to the fact that these methods require light human annotation efforts.", "In this paper, we consider the problem of shifted label distribution , which is caused by the inconsistency between the noisy-labe...
[ "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", "abstain", "method", "abs...
[ "The Out-of-Domain (OOD) intent classification is a basic and challenging task for dialogue systems.", "Previous methods commonly restrict the region (in feature space) of In-domain (IND) intent features to be compact or simply-connected implicitly, which assumes no OOD intents reside, to learn discriminative sem...
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[ "Pre-trained contextual vision-and-language (V&L) models have achieved impressive performance on various benchmarks.", "However, existing models require a large amount of parallel image-caption data for pre-training.", "Such data are costly to collect and require cumbersome curation.", "Inspired by unsupervis...
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[ "Leveraging user-provided translation to constrain NMT has practical significance.", "Existing methods can be classified into two main categories, namely the use of placeholder tags for lexicon words and the use of hard constraints during decoding.", "Both methods can hurt translation fidelity for various reaso...
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[ "Knowledge Bases (KBs) require constant updating to reflect changes to the world they represent.", "For general purpose KBs, this is often done through Relation Extraction (RE), the task of predicting KB relations expressed in text mentioning entities known to the KB.", "One way to improve RE is to use KB Embed...
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[ "It is very common to use quotations (quotes) to make our writings more elegant or convincing.", "To help people find appropriate quotes efficiently, the task of quote recommendation is presented, aiming to recommend quotes that fit the current context of writing.", "There have been various quote recommendation...
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[ "Knowledge distillation (KD) is the preliminary step for training non-autoregressive translation (NAT) models, which eases the training of NAT models at the cost of losing important information for translating low-frequency words.", "In this work, we provide an appealing alternative for NAT monolingual KD , whic...
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[ "Supervised parsing models have achieved impressive results on in-domain texts.", "However, their performances drop drastically on out-of-domain texts due to the data distribution shift.", "The shared-private model has shown its promising advantages for alleviating this problem via feature separation, whereas p...
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[ "This paper focuses on Seq2Seq (S2S) constrained text generation where the text generator is constrained to mention specific words, which are inputs to the encoder, in the generated outputs.", "Pre-trained S2S models such as T5 or a Copy Mechanism can be trained to copy the surface tokens from encoders to decoder...
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[ "Previous work indicates that discourse information benefits summarization.", "In this paper, we explore whether this synergy between discourse and summarization is bidirectional, by inferring document-level discourse trees from pre-trained neural summarizers.", "In particular, we generate unlabeled RST-style d...
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[ "Recent work has shown that contextualized word representations derived from neural machine translation are a viable alternative to such from simple word predictions tasks.", "This is because the internal understanding that needs to be built in order to be able to translate from one language to another is much mo...
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[ "Utilizing clinical texts in survival analysis is difficult because they are largely unstructured.", "Current automatic extraction models fail to capture textual information comprehensively since their labels are limited in scope.", "Furthermore, they typically require a large amount of data and high-quality ex...
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