Datasets:
scim
/
naacl_data_prog

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sentences
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labels
list
[ "With the rise of e-commerce, people are accustomed to writing their reviews after receiving the goods.", "These comments are so important that a bad review can have a direct impact on others buying.", "Besides, the abundant information within user reviews is very useful for extracting user preferences and item...
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[ "Parody is a figurative device used to imitate an entity for comedic or critical purposes and represents a widespread phenomenon in social media through many popular parody accounts.", "In this paper, we present the first computational study of parody.", "We introduce a new publicly available data set of tweets...
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[ "Knowledge distillation has proven to be effective in model acceleration and compression.", "It transfers knowledge from a large neural network to a small one by using the large neural network predictions as targets of the small neural network.", "But this way ignores the knowledge inside the large neural netwo...
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[ "Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems.", "Despite its great success, CRF has the shortcoming of occasionally generating illegal sequences of tags, e.g. sequences containing an Itag immediately after an O tag, which is forbi...
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[ "Neural machine translation (NMT) has proven to be facilitated by curriculum learning which presents examples in an easy-to-hard order at different training stages.", "The keys lie in the assessment of data difficulty and model competence.", "We propose uncertainty-aware curriculum learning , which is motivated...
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[ "Typing every character in a text message may require more time or effort than strictly necessary.", "Skipping spaces or other characters may be able to speed input and reduce a user's physical input effort.", "This can be particularly important for people with motor impairments.", "In a large crowdsourced st...
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[ "We propose a general framework to study language emergence through signaling games with neural agents.", "Using a continuous latent space, we are able to", "(i) train using backpropagation,", "(ii) show that discrete messages nonetheless naturally emerge.", "We explore whether categorical perception effect...
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[ "Abstract Domain divergence plays a significant role in estimating the performance of a model in new domains.", "While there is a significant literature on divergence measures, researchers find it hard to choose an appropriate divergence for a given NLP application.", "We address this shortcoming by both survey...
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[ "Abstract Intrinsic evaluations of OIE systems are carried out either manuallywith human evaluators judging the correctness of extractions or automatically, on standardized benchmarks.", "The latter, while much more cost-effective, is less reliable, primarily because of the incompleteness of the existing OIE benc...
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[ "Throughout a conversation, participants make choices that can orient the flow of the interaction.", "Such choices are particularly salient in the consequential domain of crisis counseling, where a difficulty for counselors is balancing between two key objectives: advancing the conversation towards a resolution, ...
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[ "Natural language inference (NLI) is an increasingly important task for natural language understanding, which requires one to infer whether a sentence entails another.", "However, the ability of NLI models to make pragmatic inferences remains understudied.", "We create an IMP licature and PRES upposition diagno...
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[ "Despite recent progress of pre-trained language models on generating fluent text, existing methods still suffer from incoherence problems in long-form text generation tasks that require proper content control and planning to form a coherent high-level logical flow.", "In this work, we propose PLANET, a novel gen...
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[ "Conversational dialogue systems (CDSs) are hard to evaluate due to the complexity of natural language.", "Automatic evaluation of dialogues often shows insufficient correlation with human judgements.", "Human evaluation is reliable but labor-intensive.", "We introduce a human-machine collaborative framework,...
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[ "Uncertainty estimation (UE) of model predictions is a crucial step for a variety of tasks such as active learning, misclassification detection, adversarial attack detection, out-of-distribution detection, etc.", "Most of the works on modeling the uncertainty of deep neural networks evaluate these methods on imag...
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[ "Knowledge of difficulty level of questions helps a teacher in several ways, such as estimating students' potential quickly by asking carefully selected questions and improving quality of examination by modifying trivial and hard questions.", "Can we extract such benefits of instance difficulty in Natural Languag...
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[ "Entity set expansion, aiming at expanding a small seed entity set with new entities belonging to the same semantic class, is a critical task that benefits many downstream NLP and IR applications, such as question answering, query understanding, and taxonomy construction.", "Existing set expansion methods bootstr...
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[ "Table-to-text generation aims at automatically generating natural text to help people conveniently obtain salient information in tables.", "Although neural models for table-to-text have achieved remarkable progress, some problems are still overlooked.", "Previous methods cannot deduce the factual results from ...
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[ "Neural Machine Translation (NMT) systems are known to degrade when confronted with noisy data, especially when the system is trained only on clean data.", "In this paper, we show that augmenting training data with sentences containing artificially-introduced grammatical errors can make the system more robust to ...
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[ "Identifying argument components from unstructured texts and predicting the relationships expressed among them are two primary steps of argument mining.", "The intrinsic complexity of these tasks demands powerful learning models.", "While pretrained Transformer-based Language Models (LM) have been shown to prov...
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[ "Discourse representation structures (DRSs) are scoped semantic representations for texts of arbitrary length.", "Evaluation of the accuracy of predicted DRSs plays a key role in developing semantic parsers and improving their performance.", "DRSs are typically visualized as nested boxes, in a way that is not s...
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[ "The discrepancy between maximum likelihood estimation (MLE) and task measures such as BLEU score has been studied before for autoregressive neural machine translation (NMT) and resulted in alternative training algorithms (Ranzato et al., 2016; Norouzi et al., 2016; Shen et al., 2016; Wu et al., 2018).", "However...
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[ "Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge.", "Just as the process of knowledge accumulation is time-consuming for human readers, it is resource-demanding to impart rich general domain knowledge into a deep language model via pre-tr...
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[ "Parsing spoken dialogue poses unique diffi-culties, including disfluencies and unmarked boundaries between sentence-like units.", "Previous work has shown that prosody can help with parsing disfluent speech (Tran et al., 2018), but has assumed that the input to the parser is already segmented into sentence-like ...
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[ "Code summarization and generation empower conversion between programming language (PL) and natural language (NL), while code translation avails the migration of legacy code from one PL to another.", "This paper introduces PLBART, a sequence-to-sequence model capable of performing a broad spectrum of program and ...
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[ "NER model has achieved promising performance on standard NER benchmarks.", "However, recent studies show that previous approaches may over-rely on entity mention information, resulting in poor performance on out-of-vocabulary (OOV) entity recognition.", "In this work, we propose MINER, a novel NER learning fra...
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[ "Style transfer is the task of rewriting a sentence into a target style while approximately preserving content.", "While most prior literature assumes access to a large style-labelled corpus, recent work (Riley et al., 2021) has attempted few-shot style transfer using just 3-10 sentences at inference for style ex...
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[ "Natural language understanding (NLU) and natural language generation (NLG) are two fundamental and related tasks in building task-oriented dialogue systems with opposite objectives: NLU tackles the transformation from natural language to formal representations, whereas NLG does the reverse.", "A key to success i...
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[ "Supervised learning assumes that a ground truth label exists.", "However, the reliability of this ground truth depends on human annotators, who often disagree.", "Prior work has shown that this disagreement can be helpful in training models.", "We propose a novel method to incorporate this disagreement as in...
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[ "We consider the distinction between intended and perceived sarcasm in the context of textual sarcasm detection.", "The former occurs when an utterance is sarcastic from the perspective of its author, while the latter occurs when the utterance is interpreted as sarcastic by the audience.", "We show the limitati...
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[ "Transfer learning based on pretraining language models on a large amount of raw data has become a new norm to reach state-of-the-art performance in NLP.", "Still, it remains unclear how this approach should be applied for unseen languages that are not covered by any available large-scale multilingual language mo...
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[ "There has been considerable attention devoted to models that learn to jointly infer an ex-pression's syntactic structure and its semantics.", "Yet, Nangia and Bowman (2018) has recently shown that the current best systems fail to learn the correct parsing strategy on mathematical expressions generated from a sim...
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[ "The goal of meta-learning is to learn to adapt to a new task with only a few labeled examples.", "Inspired by the recent progress in large language models, we propose in-context tuning (ICT), which recasts task adaptation and prediction as a simple sequence prediction problem: to form the input sequence, we conc...
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[ "Existing automatic evaluation metrics for open-domain dialogue response generation systems correlate poorly with human evaluation.", "We focus on evaluating response generation systems via response selection.", "To evaluate systems properly via response selection, we propose a method to construct response sele...
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[ "Word vectors and Language Models (LMs) pretrained on a large amount of unlabelled data can dramatically improve various Natural Language Processing (NLP) tasks.", "However, the measure and impact of similarity between pretraining data and target task data are left to intuition.", "We propose three cost-effecti...
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[ "Sentiment analysis has attracted increasing attention in e-commerce.", "The sentiment polarities underlying user reviews are of great value for business intelligence.", "Aspect category sentiment analysis (ACSA) and review rating prediction (RP) are two essential tasks to detect the fine-to-coarse sentiment po...
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[ "We present DART , an open domain structured DA taR ecord-toT ext generation dataset with over 82k instances (DARTs).", "Data-to-text annotations can be a costly process, especially when dealing with tables which are the major source of structured data and contain nontrivial structures.", "To this end, we propo...
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[ "Previous sarcasm generation research has focused on how to generate text that people perceive as sarcastic to create more human-like interactions.", "In this paper, we argue that we should first turn our attention to the question of when sarcasm should be generated, finding that humans consider sarcastic respons...
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[ "An interesting and frequent type of multiword expression (MWE) is the headless MWE, for which there are no true internal syntactic dominance relations; examples include many named entities (Wells Fargo) and dates (July 5, 2020) as well as certain productive constructions (blow for blow, day after day).", "Despit...
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[ "Neural-based context-aware models for slot tagging have achieved state-of-the-art performance.", "However, the presence of OOV(out-of-vocab) words significantly degrades the performance of neural-based models, especially in a few-shot scenario.", "In this paper, we propose a novel knowledge-enhanced slot taggi...
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[ "Many natural language questions require qualitative, quantitative or logical comparisons between two entities or events.", "This paper addresses the problem of improving the accuracy and consistency of responses to comparison questions by integrating logic rules and neural models.", "Our method leverages logic...
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[ "Abstract Graph convolutional networks (GCNs) have been applied recently to text classification and produced an excellent performance.", "However, existing GCN-based methods do not assume an explicit latent semantic structure of documents, making learned representations less effective and difficult to interpret."...
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[ "Functional Distributional Semantics is a recently proposed framework for learning distributional semantics that provides linguistic interpretability.", "It models the meaning of a word as a binary classifier rather than a numerical vector.", "In this work, we propose a method to train a Functional Distribution...
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[ "Car-focused navigation services are based on turns and distances of named streets, whereas navigation instructions naturally used by humans are centered around physical objects called landmarks.", "We present a neural model that takes OpenStreetMap representations as input and learns to generate navigation instr...
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[ "When learning POS taggers and syntactic chunkers for low-resource languages, different resources may be available, and often all we have is a small tag dictionary, motivating type-constrained unsupervised induction.", "Even small dictionaries can improve the performance of unsupervised induction algorithms.", ...
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[ "In open-domain question answering, questions are highly likely to be ambiguous because users may not know the scope of relevant topics when formulating them.", "Therefore, a system needs to find possible interpretations of the question, and predict one or multiple plausible answers.", "When multiple plausible ...
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[ "Automatic hashtag annotation plays an important role in content understanding for microblog posts.", "To date, progress made in this field has been restricted to phrase selection from limited candidates, or word-level hashtag discovery using topic models.", "Different from previous work considering hashtags to...
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[ "j.e.weeds@sussex.ac.uk", "Abstract", "Paraphrase identification involves identifying whether a pair of sentences express the same or similar meanings.", "While cross-encoders have achieved high performances across several benchmarks, bi-encoders such as SBERT have been widely applied to sentence pair tasks."...
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[ "In this paper, we aim to explore an uncharted territory, which is Chinese multimodal named entity recognition (NER) with both textual and acoustic contents.", "To achieve this, we construct a large-scale human-annotated Chinese multimodal NER dataset, named CNERTA .", "Our corpus totally contains 42,987 annota...
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[ "Named Entity Recognition (NER) is the task of identifying spans that represent entities in sentences.", "Whether the entity spans are nested or discontinuous, the NER task can be categorized into the flat NER, nested NER, and discontinuous NER subtasks.", "These subtasks have been mainly solved by the token-le...
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[ "Zero-shot stance detection (ZSSD) aims to detect the stance for an unseen target during the inference stage.", "In this paper, we propose a joint contrastive learning (JointCL) framework, which consists of stance contrastive learning and target-aware prototypical graph contrastive learning.", "Specifically, a ...
[ "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain", "abstain", "objective", "objective", "abstain", "objective", "abstain", "method", "objective", "abstain", "abstain", "objective",...
[ "This paper presents an audio visual automatic speech recognition (AV-ASR) system using a Transformer-based architecture.", "We particularly focus on the scene context provided by the visual information, to ground the ASR.", "We extract representations for audio features in the encoder layers of the transformer...
[ "method", "method", "method", "method", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "We propose a graph-based method to tackle the dependency tree linearization task.", "We formulate the task as a Traveling Salesman Problem (TSP), and use a biaffine attention model to calculate the edge costs.", "We facilitate the decoding by solving the TSP for each subtree and combining the solution into a p...
[ "objective", "method", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "method", "objective", "method", "...
[ "Recent neural models for relation extraction with distant supervision alleviate the impact of irrelevant sentences in a bag by learning importance weights for the sentences.", "Efforts thus far have focused on improving extraction accuracy but little is known about their explainability.", "In this work we anno...
[ "abstain", "abstain", "method", "objective", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "result", "objective", "objective", "objective", "method", "abstain", "abstain", "abstain", "abstain", "method", "abstain", ...
[ "Event forecasting is a challenging, yet important task, as humans seek to constantly plan for the future.", "Existing automated forecasting studies rely mostly on structured data , such as time-series or event-based knowledge graphs, to help predict future events.", "In this work, we aim to formulate a task, c...
[ "abstain", "abstain", "objective", "method", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abst...
[ "Language is gendered if the context surrounding a mention is suggestive of a particular binary gender for that mention.", "Detecting the different ways in which language is gendered is an important task since gendered language can bias NLP models (such as for coreference resolution).", "This task is challengin...
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[ "Recent work in cross-lingual semantic parsing has successfully applied machine translation to localize parsers to new languages.", "However, these advances assume access to high-quality machine translation systems and word alignment tools.", "We remove these assumptions and study cross-lingual semantic parsing...
[ "abstain", "abstain", "objective", "objective", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "method", "abstain", "abstain", "method", "objective", "objec...
[ "The standard training algorithm in neural machine translation (NMT) suffers from exposure bias, and alternative algorithms have been proposed to mitigate this.", "However, the practical impact of exposure bias is under debate.", "In this paper, we link exposure bias to another well-known problem in NMT, namely...
[ "abstain", "abstain", "method", "result", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "abstain", "abstain", "result", "result", "result", "abstain", "abs...
[ "Online abuse can inflict harm on users and communities, making online spaces unsafe and toxic.", "Progress in automatically detecting and classifying abusive content is often held back by the lack of high quality and detailed datasets.", "We introduce a new dataset of primarily English Reddit entries which add...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", ...
[ "Multiple-choice question answering (MCQA) is one of the most challenging tasks in machine reading comprehension since it requires more advanced reading comprehension skills such as logical reasoning, summarization, and arithmetic operations.", "Unfortunately, most existing MCQA datasets are small in size, which ...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "objective", "abstain", ...
[ "A neural machine translation (NMT) system is expensive to train, especially with high-resource settings.", "As the NMT architectures become deeper and wider, this issue gets worse and worse.", "In this paper, we aim to improve the efficiency of training an NMT by introducing a novel norm-based curriculum learn...
[ "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "other", "objective", "result", "abstain", "abstain", "objective", "abstain", "abstain", "other", "other", "other",...
[ "Exploiting label hierarchies has become a promising approach to tackling the zero-shot multi-label text classification (ZS-MTC) problem.", "Conventional methods aim to learn a matching model between text and labels, using a graph encoder to incorporate label hierarchies to obtain effective label representations ...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "We explore learning web-based tasks from a human teacher through natural language explanations and a single demonstration.", "Our approach investigates a new direction for semantic parsing that models explaining a demonstration in a context, rather than mapping explanations to demonstrations.", "By leveraging ...
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[ "Continued training is an effective method for domain adaptation in neural machine translation.", "However, in-domain gains from adaptation come at the expense of general-domain performance.", "In this work, we interpret the drop in general-domain performance as catastrophic forgetting of general-domain knowled...
[ "abstain", "abstain", "abstain", "objective", "result", "objective", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "objective", "abstain", ...
[ "Jacob Devlin (cid:3) Victor", "jacobdevlin@google.com", "In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data.", "Our proposed approach utilizes a transfer-learning approach to share lexical and sentence level representations acr...
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[ "This paper introduces MEDIASUM 1 , a large-scale media interview dataset consisting of 463.6K transcripts with abstractive summaries.", "To create this dataset, we collect interview transcripts from NPR and CNN and employ the overview and topic descriptions as summaries.", "Compared with existing public corpor...
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[ "To date, most of recent work under the retrieval-reader framework for open-domain QA focuses on either extractive or generative reader exclusively.", "In this paper, we study a hybrid approach for leveraging the strengths of both models.", "We apply novel techniques to enhance both extractive and generative re...
[ "abstain", "method", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "...
[ "Technology for language generation has advanced rapidly, spurred by advancements in pre-training large models on massive amounts of data and the need for intelligent agents to communicate in a natural manner.", "While techniques can effectively generate fluent text, they can also produce undesirable societal bia...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "objective", "abstain", "abstain", "method", "objective", "objective", "method", "result", "objective", "other", "method", "abstain", "abstain", "abstain", ...
[ "Representation of linguistic phenomena in computational language models is typically assessed against the predictions of existing linguistic theories of these phenomena.", "Using the notion of polarity as a case study, we show that this is not always the most adequate set-up.", "We probe polarity via so-called...
[ "abstain", "result", "method", "result", "objective", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "meth...
[ "Data-to-text generation can be conceptually divided into two parts: ordering and structuring the information (planning), and generating fluent language describing the information (realization).", "Modern neural generation systems conflate these two steps into a single end-to-end differentiable system.", "We pr...
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[ "Robustness of machine learning models on ever-changing real-world data is critical, especially for applications affecting human wellbeing such as content moderation.", "New kinds of abusive language continually emerge in online discussions in response to current events (e.g., COVID-19), and the deployed abuse de...
[ "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "method", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "absta...
[ "We present a thorough comparison of two principal approaches to Cross-Lingual Information Retrieval: document translation (DT) and query translation (QT).", "Our experiments are conducted using the cross-lingual test collection produced within the CLEF eHealth information retrieval tasks in 20132015 containing E...
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[ "The goal of this work is to build conversational Question Answering (QA) interfaces for the large body of domain-specific information available in FAQ sites.", "We present DoQA, a dataset with 2,437 dialogues and 10,917 QA pairs.", "The dialogues are collected from three Stack Exchange sites using the Wizard o...
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[ "Following each patient visit, physicians draft long semi-structured clinical summaries called SOAP notes.", "While invaluable to clinicians and researchers, creating digital SOAP notes is burdensome, contributing to physician burnout.", "In this paper, we introduce the first complete pipelines to leverage deep...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "result", "objectiv...
[ "Training objectives based on predictive coding have recently been shown to be very effective at learning meaningful representations from unlabeled speech.", "One example is Autoregressive Predictive Coding (Chung et al., 2019), which trains an autoregressive RNN to generate an unseen future frame given a context...
[ "abstain", "abstain", "abstain", "objective", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "other", "abstain", ...
[ "Understanding natural language requires common sense, one aspect of which is the ability to discern the plausibility of events.", "While distributional modelsmost recently pre-trained, Transformer language models have demonstrated improvements in modeling event plausibility, their performance still falls short o...
[ "abstain", "abstain", "result", "result", "abstain", "objective", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "result", "objective", ...
[ "Recently, there is an effort to extend fine-grained entity typing by using a richer and ultra-fine set of types, and labeling noun phrases including pronouns and nominal nouns instead of just named entity mentions.", "A key challenge for this ultra-fine entity typing task is that human annotated data are extreme...
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[ "In this paper, we study the problem of identifying the principals and accessories from the fact description with multiple defendants in a criminal case.", "We treat the fact descriptions as narrative texts and the defendants as roles over the narrative story.", "We propose to model the defendants with behavior...
[ "method", "abstain", "objective", "abstain", "other", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "objective", "abstain", "other", ...
[ "Dialogue systems pretrained with large language models generate locally coherent responses, but lack the fine-grained control over responses necessary to achieve specific goals.", "A promising method for controlling generated responses is exemplar-based generation , in which models edit exemplar responses that a...
[ "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "method", "objective", "other", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ab...
[ "Stereotypical language expresses widely-held beliefs about different social categories.", "Many stereotypes are overtly negative, while others may appear positive on the surface, but still lead to negative consequences.", "In this work, we present a computational approach to interpreting stereotypes in text th...
[ "abstain", "abstain", "method", "abstain", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "absta...
[ "Retrieve-and-edit seq2seq methods typically retrieve an output from the training set and learn a model to edit it to produce the final output.", "We propose to extend this framework with a simple and effective post-generation ranking approach.", "Our framework", "(i) retrieves several potentially relevant ou...
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[ "Though word embeddings and topics are complementary representations, several past works have only used pretrained word embeddings in (neural) topic modeling to address data sparsity in short-text or small collection of documents.", "This work presents a novel neural topic modeling framework using multi-view embe...
[ "abstain", "objective", "objective", "method", "method", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "Round-trip Machine Translation (MT) is a popular choice for paraphrase generation, which leverages readily available parallel corpora for supervision.", "In this paper, we formalize the implicit similarity function induced by this approach, and show that it is susceptible to non-paraphrase pairs sharing a single...
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[ "Vision-language pre-training (VLP) on large-scale image-text pairs has achieved huge success for the cross-modal downstream tasks.", "The most existing pre-training methods mainly adopt a two-step training procedure, which firstly employs a pre-trained object detector to extract region-based visual features, the...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "m...
[ "This paper presents a new challenging information extraction task in the domain of materials science.", "We develop an annotation scheme for marking information on experiments related to solid oxide fuel cells in scientific publications, such as involved materials and measurement conditions.", "With this paper...
[ "objective", "objective", "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "method", "objective", "result",...
[ "Jin 1 , Andrzej Cichocki 2 3 , Qibin Zhao 4 , Wanzeng Kong Machine Collaborative Intelligence of Zhejiang Province, and Technology, Hangzhou Dianzi University, China Science and Technology, Moscow, Russia Institute, Polish Academy of Science, Warsaw, Poland Advanced Intelligence Project, RIKEN hdutangjiajia, Jxuan...
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[ "We propose to measure fine-grained domain relevance the degree that a term is relevant to a broad (e.g., computer science) or narrow (e.g., deep learning) domain.", "Such measurement is crucial for many downstream tasks in natural language processing.", "To handle longtail terms , we build a core-anchored sem...
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[ "Unsupervised clustering aims at discovering the semantic categories of data according to some distance measured in the representation space.", "However, different categories often overlap with each other in the representation space at the beginning of the learning process, which poses a significant challenge for...
[ "abstain", "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", ...
[ "We propose a practical instant question answering (QA) system on product pages of e-commerce services, where for each user query, relevant community question answer (CQA) pairs are retrieved.", "User queries and CQA pairs differ significantly in language characteristics making relevance learning difficult.", "...
[ "objective", "abstain", "objective", "result", "method", "method", "abstain", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abst...
[ "In several question answering benchmarks, pretrained models have reached human parity through fine-tuning on an order of 100,000 annotated questions and answers.", "We explore the more realistic few-shot setting, where only a few hundred training examples are available, and observe that standard models perform p...
[ "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "The principal task in supervised neural machine translation (NMT) is to learn to generate target sentences conditioned on the source inputs from a set of parallel sentence pairs, and thus produce a model capable of generalizing to unseen instances.", "However, it is commonly observed that the generalization perf...
[ "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", ...
[ "A range of studies have concluded that neural word prediction models can distinguish grammatical from ungrammatical sentences with high accuracy.", "However, these studies are based primarily on monolingual evidence from English.", "To investigate how these models' ability to learn syntax varies by language, w...
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[ "The product reviews summarization task aims to automatically produce a short summary for a set of reviews of a given product.", "Such summaries are expected to aggregate a range of different opinions in a concise, coherent and informative manner.", "This challenging task gives rise to two shortcomings in exist...
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[ "Due to recent pretrained multilingual representation models, it has become feasible to exploit labeled data from one language to train a cross-lingual model that can then be applied to multiple new languages.", "In practice, however, we still face the problem of scarce labeled data, leading to subpar results.", ...
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[ "Multilayer architectures are currently the gold standard for large-scale neural machine translation.", "Existing works have explored some methods for understanding the hidden representations, however, they have not sought to improve the translation quality rationally according to their understanding.", "Toward...
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[ "Existing work in multilingual pretraining has demonstrated the potential of cross-lingual transferability by training a unified Transformer encoder for multiple languages.", "However, much of this work only relies on the shared vocabulary and bilingual contexts to encourage the correlation across languages, whic...
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[ "Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience.", "The latest CWI Shared Task released data for two settings: monolingual (i.e. train and test in the same language) and cross-lingual (i.e. test in a language not s...
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[ "This paper studies the bias problem of multihop question answering models, of answering correctly without correct reasoning.", "One way to robustify these models is by supervising to not only answer right, but also with right reasoning chains.", "An existing direction is to annotate reasoning chains to train m...
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[ "Despite significant progress in neural abstractive summarization, recent studies have shown that the current models are prone to generating summaries that are unfaithful to the original context.", "To address the issue, we study contrast candidate generation and selection as a model-agnostic post-processing tech...
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[ "Zero-shot learning aims to recognize unseen objects using their semantic representations.", "Most existing works use visual attributes labeled by humans, not suitable for large-scale applications.", "In this paper, we revisit the use of documents as semantic representations.", "We argue that documents like W...
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[ "The Natural Language Understanding (NLU) component in task oriented dialog systems processes a user's request and converts it into structured information that can be consumed by downstream components such as the Dialog State Tracker (DST).", "This information is typically represented as a semantic frame that cap...
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