Datasets:
scim
/
naacl_data_prog

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sentences
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labels
list
[ "Document machine translation aims to translate the source sentence into the target language in the presence of additional contextual information.", "However, it typically suffers from a lack of doc-level bilingual data.", "To remedy this, here we propose a simple yet effective context-interactive pre-training ...
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[ "In structured prediction problems, cross-lingual transfer learning is an efficient way to train quality models for low-resource languages, and further improvement can be obtained by learning from multiple source languages.", "However, not all source models are created equal and some may hurt performance on the t...
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[ "Text Simplification improves the readability of sentences through several rewriting transformations, such as lexical paraphrasing, deletion, and splitting.", "Current simplification systems are predominantly sequence-to-sequence models that are trained end-to-end to perform all these operations simultaneously.",...
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[ "Span-based methods with the neural networks backbone have great potential for the nested named entity recognition (NER) problem.", "However, they face problems such as degenerating when positive instances and negative instances largely overlap.", "Besides, the generalization ability matters a lot in nested NER...
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[ "Machine translation (MT) has benefited from using synthetic training data originating from translating monolingual corpora, a technique known as backtranslation.", "Combining backtranslated data from different sources has led to better results than when using such data in isolation.", "In this work we analyse ...
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[ "We study unsupervised multi-document summarization evaluation metrics, which require neither human-written reference summaries nor human annotations (e.g. preferences, ratings, etc.).", "We propose SUPERT , which rates the quality of a summary by measuring its semantic similarity with a pseudo reference summary ...
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[ "How to find proper moments to generate partial sentence translation given a streaming speech input?", "Existing approaches waiting-and-translating for a fixed duration often break the acoustic units in speech, since the boundaries between acoustic units in speech are not even.", "In this paper, we propose MoSS...
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[ "in neural machine translation, an attention model is used to identify the aligned source words for a target word target foresight word in order to select translation context, but it does not make use of any information of this target foresight word at all.", "previous work proposed an approach to improve the a...
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[ "Deep-learning-based models have been successfully applied to the problem of detecting fake news on social media.", "While the correlations among news articles have been shown to be effective cues for online news analysis, existing deep-learning-based methods often ignore this information and only consider each n...
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[ "One of the difficulties in training dialogue systems is the lack of training data.", "We explore the possibility of creating dialogue data through the interaction between a dialogue system and a user simulator.", "Our goal is to develop a modelling framework that can incorporate new dialogue scenarios through ...
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[ "Search task extraction in information retrieval is the process of identifying search intents over a set of queries relating to the same topical information need.", "Search tasks may potentially span across multiple search sessions.", "Most existing research on search task extraction has focused on identifying ...
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[ "The recently released FEVER dataset provided benchmark results on a fact-checking task in which given a factual claim, the system must extract textual evidence (sets of sentences from Wikipedia pages) that support or refute the claim.", "In this paper, we present a completely task-agnostic pipelined system, Atte...
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[ "With the explosion of news information, personalized news recommendation has become very important for users to quickly find their interested contents.", "Most existing methods usually learn the representations of users and news from news contents for recommendation.", "However, they seldom consider high-order...
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[ "We propose a topic-guided variational autoencoder (TGVAE) model for text generation.", "Distinct from existing variational autoencoder (VAE) based approaches, which assume a simple Gaussian prior for the latent code, our model specifies the prior as a Gaussian mixture model (GMM) parametrized by a neural topic m...
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[ "Existing Visual Question Answering (VQA) methods tend to exploit dataset biases and spurious statistical correlations, instead of producing right answers for the right reasons.", "To address this issue, recent bias mitigation methods for VQA propose to incorporate visual cues (e.g., human attention maps) to bett...
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[ "We introduce TECHQA, a domain-adaptation question answering dataset for the technical support domain.", "The TECHQA corpus highlights two real-world issues from the automated customer support domain.", "First, it contains actual questions posed by users on a technical forum, rather than questions generated spe...
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[ "Distantly supervision automatically generates plenty of training samples for relation extraction.", "However, it also incurs two major problems: noisy labels and imbalanced training data.", "Previous works focus more on reducing wrongly labeled relations (false positives) while few explore the missing relation...
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[ "We present a constituency parsing algorithm that, like a supertagger, works by assigning labels to each word in a sentence.", "In order to maximally leverage current neural architectures, the model scores each word's tags in parallel, with minimal task-specific structure.", "After scoring, a left-to-right reco...
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[ "Distant supervision has obtained great progress on relation classification task.", "However, it still suffers from noisy labeling problem.", "Different from previous works that underutilize noisy data which inherently characterize the property of classification, in this paper, we propose RCEND, a novel framewo...
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[ "Large-scale pre-trained language model such as BERT has achieved great success in language understanding tasks.", "However, it remains an open question how to utilize BERT for language generation.", "In this paper, we present a novel approach, Conditional Masked Language Modeling (C-MLM), to enable the finetun...
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[ "Combinatory categorial grammars are linguistically motivated and useful for semantic parsing, but costly to acquire in a supervised way and difficult to acquire in an unsupervised way.", "We propose an alternative making use of cross-lingual learning: an existing source-language parser is used together with a pa...
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[ "Lexicon information and pre-trained models, such as BERT, have been combined to explore Chinese sequence labelling tasks due to their respective strength.", "However, existing methods solely fuse lexicon features via a shallow and random initialized sequence layer and do not integrate them into the bottom layers...
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[ "Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term.", "Recent models perform the triplet extraction in an end-to-end manner but heavily rely on the interactions between each target ...
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[ "We show that margin-based bitext mining in a multilingual sentence space can be successfully scaled to operate on monolingual corpora of billions of sentences.", "We use 32 Common Crawl snapshots (Wenzek et al., 2019), totalling 71 billion unique sentences.", "Using one unified approach for 90 languages, we we...
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[ "The task of automatic text summarization is to generate a short text that summarizes the most important information in a given set of documents.", "Sentence regression is an emerging branch in automatic text summarizations.", "Its key idea is to estimate the importance of information via learned utility scores...
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[ "English verbs have multiple forms.", "For instance, talk may also appear as talks , talked or talking , depending on the context.", "The NLP task of lemmatization seeks to map these diverse forms back to a canonical one, known as the lemma.", "We present a simple joint neural model for lemmatization and morp...
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[ "Knowledge-driven conversation approaches have achieved remarkable research attention recently.", "However, generating an informative response with multiple relevant knowledge without losing fluency and coherence is still one of the main challenges.", "To address this issue, this paper proposes a method that us...
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[ "Most words are ambiguous they convey distinct meanings in different contextsand even the meanings of unambiguous words are context-dependent .", "Both phenomena present a challenge for NLP.", "Recently, the advent of contextualized word embeddings has led to success on tasks involving lexical ambiguity, such a...
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[ "Sense embedding learning methods learn different embeddings for the different senses of an ambiguous word.", "One sense of an ambiguous word might be socially biased while its other senses remain unbiased.", "In comparison to the numerous prior work evaluating the social biases in pretrained word embeddings, t...
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[ "People often share personal narratives in order to seek advice from others.", "To properly infer the narrator's intention, one needs to apply a certain degree of common sense and social intuition.", "To test the capabilities of NLP systems to recover such intuition, we introduce the new task of inferring what ...
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[ "This paper creates a paradigm shift with regard to the way we build neural extractive summarization systems.", "Instead of following the commonly used framework of extracting sentences individually and modeling the relationship between sentences, we formulate the extractive summarization task as a semantic text ...
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[ "Recently, distant supervision has gained great success on Fine-grained Entity Typing (FET).", "Despite its efficiency in reducing manual labeling efforts, it also brings the challenge of dealing with false entity type labels, as distant supervision assigns labels in a context-agnostic manner.", "Existing works...
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[ "We present a novel document-level model for finding argument spans that fill an event's roles, connecting related ideas in sentence-level semantic role labeling and coreference resolution.", "Because existing datasets for cross-sentence linking are small, development of our neural model is supported through the ...
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[ "Saliency methods are widely used to interpret neural network predictions, but different variants of saliency methods often disagree even on the interpretations of the same prediction made by the same model.", "In these cases, how do we identify when are these interpretations trustworthy enough to be used in anal...
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[ "Learning contextual text embeddings that represent causal graphs has been useful in improving the performance of downstream tasks like causal treatment effect estimation.", "However, existing causal embeddings which are trained to predict direct causal links, fail to capture other indirect causal links of the gr...
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[ "Existing slot filling models can only recognize pre-defined in-domain slot types from a limited slot set.", "In the practical application, a reliable dialogue system should know what it does not know.", "In this paper, we introduce a new task, Novel Slot Detection (NSD), in the task-oriented dialogue system.",...
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[ "Recently, opinion summarization, which is the generation of a summary from multiple reviews, has been conducted in a self-supervised manner by considering a sampled review as a pseudo summary.", "However, non-text data such as image and metadata related to reviews have been considered less often.", "To use the...
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[ "Open-domain question answering remains a challenging task as it requires models that are capable of understanding questions and answers, collecting useful information, and reasoning over evidence.", "Previous work typically formulates this task as a reading comprehension or entailment problem given evidence retr...
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[ "The complexity loss paradox, which posits that individuals suffering from disease exhibit surprisingly predictable behavioral dynamics, has been observed in a variety of both human and animal physiological systems.", "The recent advent of online text-based therapy presents a new opportunity to analyze the comple...
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[ "Despite excellent performance on many tasks, NLP systems are easily fooled by small adversarial perturbations of inputs.", "Existing procedures to defend against such perturbations are either", "(i) heuristic in nature and susceptible to stronger attacks or", "(ii) provide guaranteed robustness to worst-case...
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[ "While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict unseen relations that cannot be observed at the training stage.", "In this paper, we formulate the zero-shot relation extraction pro...
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[ "Named entity recognition (NER) is a fundamental task to recognize specific types of entities from a given sentence.", "Depending on how the entities appear in the sentence, it can be divided into three subtasks, namely, Flat NER, Nested NER, and Discontinuous NER.", "Among the existing approaches, only the gen...
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[ "We seek to create agents that both act and communicate with other agents in pursuit of a goal.", "Towards this end, we extend LIGHT (Urbanek et al., 2019)a large-scale crowd-sourced fantasy text-gamewith a dataset of quests.", "1 .", "These contain natural language motivations paired with in-game goals and h...
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[ "Sparse models require less memory for storage and enable a faster inference by reducing the necessary number of FLOPs.", "This is relevant both for time-critical and on-device computations using neural networks.", "The stabilized lottery ticket hypothesis states that networks can be pruned after none or few tr...
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[ "Abstract Weak supervision has shown promising results in many natural language processing tasks, such as Named Entity Recognition (NER).", "Existing work mainly focuses on learning deep NER models only with weak supervision, i.e., without any human annotation, and shows that by merely using weakly labeled data, ...
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[ "The combination of multilingual pre-trained representations and cross-lingual transfer learning is one of the most effective methods for building functional NLP systems for low-resource languages.", "However, for extremely low-resource languages without large-scale monolingual corpora for pre-training or suffici...
[ "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ob...
[ "User-generated text tends to be noisy with many lexical and orthographic inconsistencies, making natural language processing (NLP) tasks more challenging.", "The challenging nature of noisy text processing is exacerbated for dialectal content, where in addition to spelling and lexical differences, dialectal text...
[ "abstain", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "method", "abstain", "abstain", "abstain", "method", "abstain", "result", "method", "abstain", ...
[ "Source Code Summarization is the task of writing short, natural language descriptions of source code.", "The main use for these descriptions is in software documentation e.g. the one-sentence Java method descriptions in JavaDocs.", "Code summarization is rapidly becoming a popular research problem, but progres...
[ "abstain", "abstain", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "abstain", "method", "absta...
[ "Neural abstractive summarization models are prone to generate content inconsistent with the source document, i.e. unfaithful .", "Existing automatic metrics do not capture such mistakes effectively.", "We tackle the problem of evaluating faithfulness of a generated summary given its source document.", "We fi...
[ "abstain", "abstain", "method", "objective", "result", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "result", "abstain", "result", "abstai...
[ "Multimodal pre-training with text, layout, and image has made significant progress for Visually Rich Document Understanding (VRDU), especially the fixed-layout documents such as scanned document images.", "While, there are still a large number of digital documents where the layout information is not fixed and ne...
[ "abstain", "abstain", "objective", "abstain", "other", "other", "other", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method", "abstain",...
[ "We propose a simple, fast, and mostly-unsupervised approach for non-factoid question answering (QA) called Alignment over Heterogeneous Embeddings (AHE).", "AHE simply aligns each word in the question and candidate answer with the most similar word in the retrieved supporting paragraph, and weighs each alignment...
[ "objective", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", ...
[ "Ideology of legislators is typically estimated by ideal point models from historical records of votes.", "It represents legislators and legislation as points in a latent space and shows promising results for modeling voting behavior.", "However, it fails to capture more specific attitudes of legislators toward...
[ "abstain", "abstain", "abstain", "objective", "objective", "method", "result", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Recent years have witnessed the burgeoning of pretrained language models (LMs) for text-based natural language (NL) understanding tasks.", "Such models are typically trained on free-form NL text, hence may not be suitable for tasks like semantic parsing over structured data, which require reasoning over both fre...
[ "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "absta...
[ "While counterfactual examples are useful for analysis and training of NLP models, current generation methods either rely on manual labor to create very few counterfactuals, or only instantiate limited types of perturbations such as paraphrases or word substitutions.", "We present P olyjuice , a general-purpose c...
[ "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", "method", "result", "method", "method", "abstain", "result", "abstain", "abstain", "abst...
[ "One daunting problem for semantic parsing is the scarcity of annotation.", "Aiming to reduce nontrivial human labor, we propose a two-stage semantic parsing framework, where the first stage utilizes an unsupervised paraphrase model to convert an unlabeled natural language utterance into the canonical utterance."...
[ "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Argument compatibility is a linguistic condition that is frequently incorporated into mod-ern event coreference resolution systems.", "If two event mentions have incompatible arguments in any of the argument roles, they cannot be coreferent.", "On the other hand, if these mentions have compatible arguments, th...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "Unsupervised pre-training has led to much recent progress in natural language understanding.", "In this paper, we study self-training as another way to leverage unlabeled data through semi-supervised learning.", "To obtain additional data for a specific task, we introduce SentAugment, a data augmentation metho...
[ "abstain", "method", "result", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "method"...
[ "Self-disclosure in online health conversations may offer a host of benefits, including earlier detection and treatment of medical issues that may have otherwise gone unaddressed.", "However, research analyzing medical self-disclosure in online communities is limited.", "We address this shortcoming by introduci...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "result", "objective", "abstain", "abstain", "me...
[ "While much work on deep latent variable models of text uses continuous latent variables, discrete latent variables are interesting because they are more interpretable and typically more space efficient.", "We consider several approaches to learning discrete latent variable models for text in the case where exact...
[ "abstain", "method", "method", "result", "result", "abstain", "abstain", "method", "abstain", "other", "abstain", "method", "other", "method", "abstain", "method", "result", "method", "method", "abstain", "abstain", "other", "other", "other", "objective", "objective...
[ "Analogies play a central role in human commonsense reasoning.", "The ability to recognize analogies such as eye is to seeing what ear is to hearing, sometimes referred to as analogical proportions, shape how we structure knowledge and understand language.", "Surprisingly, however, the task of identifying such ...
[ "abstain", "result", "abstain", "result", "result", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method"...
[ "Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidence for the claims, etc.", "As the AI debate attracts more attention these years, it is worth exploring the methods to automat...
[ "abstain", "abstain", "method", "method", "abstain", "objective", "method", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", ...
[ "Transfer learning has proven to be crucial in advancing the state of speech and natural language processing research in recent years.", "In speech, a model pre-trained by self-supervised learning transfers remarkably well on multiple tasks.", "However, the lack of a consistent evaluation methodology is limitin...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "result", "objective", "obje...
[ "Back-translation is a widely used data augmentation technique which leverages target monolingual data.", "However, its effectiveness has been challenged since automatic metrics such as BLEU only show significant improvements for test examples where the source itself is a translation, or translationese .", "Thi...
[ "abstain", "abstain", "abstain", "result", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain...
[ "While the use of character models has been popular in NLP applications, it has not been explored much in the context of psycholinguistic modeling.", "This paper presents a character model that can be applied to a structural parser-based processing model to calculate word generation probabilities.", "Experiment...
[ "abstain", "method", "abstain", "abstain", "other", "other", "other", "other", "other", "other", "other", "other", "method", "other", "other", "other", "other", "method", "other", "other", "other", "other", "other", "other", "method", "other", "other", "other", ...
[ "Recently, neural machine translation has achieved remarkable progress by introducing well-designed deep neural networks into its encoder-decoder framework.", "From the optimization perspective, residual connections are adopted to improve learning performance for both encoder and decoder in most of these deep arc...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "objective", "result", "result", "abstain", "abstain", "other", "other"...
[ "The structured output framework provides a helpful tool for learning to rank problems.", "In this paper, we propose a structured output approach which regards rankings as latent variables.", "Our approach addresses the complex optimization of Mean Average Precision (MAP) ranking metric.", "We provide an infe...
[ "abstain", "objective", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "result", "object...
[ "How can we effectively inform content selection in Transformer-based abstractive summarization models?", "In this work, we present a simple-yet-effective attention head masking technique, which is applied on encoder-decoder attentions to pinpoint salient content at inference time.", "Using attention head maski...
[ "abstain", "method", "result", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "abstain", "method", "result", "method", "result", "result", "abstain", "abstain", "abstain", "objective", "other", "abstain...
[ "Clinical trials offer a fundamental opportunity to discover new treatments and advance the medical knowledge.", "However, the uncertainty of the outcome of a trial can lead to unforeseen costs and setbacks.", "In this study, we propose a new method to predict the effectiveness of an intervention in a clinical ...
[ "abstain", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", ...
[ "Multimodal Entity Linking (MEL) which aims at linking mentions with multimodal contexts to the referent entities from a knowledge base (e.g., Wikipedia), is an essential task for many multimodal applications.", "Although much attention has been paid to MEL, the shortcomings of existing MEL datasets including lim...
[ "abstain", "abstain", "method", "abstain", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "result", "abstain", "obj...
[ "Exploiting sentence-level labels, which are easy to obtain, is one of the plausible methods to improve low-resource named entity recognition (NER), where token-level labels are costly to annotate.", "Current models for jointly learning sentence and token labeling are limited to binary classification.", "We pre...
[ "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "method", "other", "abstain", "abstain", "method", "result", "abstain", "method", "abstain", "objective", "method", "result", "abstain", "abstain", "method", "method", "abstain", "method", "a...
[ "The intensity relationship that holds between scalar adjectives (e.g., nice < great < wonderful ) is highly relevant for natural language inference and common-sense reasoning.", "Previous research on scalar adjective ranking has focused on English, mainly due to the availability of datasets for evaluation.", "...
[ "abstain", "abstain", "objective", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstai...
[ "Large pretrained language models like BERT, after fine-tuning to a downstream task, have achieved high performance on a variety of NLP problems.", "Yet explaining their decisions is difficult despite recent work probing their internal representations.", "We propose a procedure and analysis methods that take a ...
[ "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "objective", "objective", "objective", "objective", "result", "objective", "objectiv...
[ "Leveraging deep learning models for Anomaly Detection (AD) has seen widespread use in recent years due to superior performances over traditional methods.", "Recent deep methods for anomalies in images learn better features of normality in an end-to-end self-supervised setting.", "These methods train a model to...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "objective", "method", "abstain", "abstain", "abs...
[ "Medical report generation is one of the most challenging tasks in medical image analysis.", "Although existing approaches have achieved promising results, they either require a predefined template database in order to retrieve sentences or ignore the hierarchical nature of medical report generation.", "To addr...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "objective", ...
[ "Recent evidence reveals that Neural Machine Translation (NMT) models with deeper neural networks can be more effective but are difficult to train.", "In this paper, we present a M ulti S cale C ollaborative (MSC ) framework to ease the training of NMT models that are substantially deeper than those used previous...
[ "abstain", "method", "method", "method", "result", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain...
[ "In this paper we demonstrate how code-switching patterns can be utilised to improve various downstream NLP applications.", "In particular, we encode different switching features to improve humour, sarcasm and hate speech detection tasks.", "We believe that this simple linguistic observation can also be potenti...
[ "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "other", "other", "other", "objective", "result", "result"...
[ "Empirical research in Natural Language Processing (NLP) has adopted a narrow set of principles for assessing hypotheses, relying mainly on p -value computation, which suffers from several known issues.", "While alternative proposals have been well-debated and adopted in other fields, they remain rarely discussed...
[ "abstain", "abstain", "objective", "objective", "abstain", "result", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "result", ...
[ "Transformers have been shown to be able to perform deductive reasoning on a logical rulebase containing rules and statements written in natural language.", "Recent works show that such models can also produce the reasoning steps (i.e., the proof graph ) that emulate the model's logical reasoning process.", "Cu...
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[ "Procedural text understanding aims at tracking the states (e.g., create, move, destroy) and locations of the entities mentioned in a given paragraph.", "To effectively track the states and locations, it is essential to capture the rich semantic relations between entities, actions, and locations in the paragraph....
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Adversarial examples perturbations to the input of a model that elicit large changes in the output have been shown to be an effective way of assessing the robustness of sequence-to-sequence (seq2seq) models.", "However, these perturbations only indicate weaknesses in the model if they do not change the input s...
[ "abstain", "abstain", "abstain", "objective", "objective", "objective", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective...
[ "Abusive language detection is an emerging field in natural language processing which has received a large amount of attention recently.", "Still the success of automatic detection is limited.", "Particularly, the detection of implicitly abusive language, i.e. abusive language that is not conveyed by abusive wo...
[ "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "objective", ...
[ "We investigate the extent to which the behavior of neural network language models reflects incremental representations of syntactic state.", "To do so, we employ experimental methodologies which were originally developed in the field of psycholinguistics to study syntactic representation in the human mind.", "...
[ "objective", "objective", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "abstain", "method", "method", "method", "abstain", "abst...
[ "Contextual influences on language often exhibit substantial cross-lingual regularities; for example, we are more verbose in situations that require finer distinctions.", "However, these regularities are sometimes obscured by semantic and syntactic differences.", "Using a newly-collected dataset of color refere...
[ "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "abstain", "method", "metho...
[ "Understanding how news media frame political issues is important due to its impact on public attitudes, yet hard to automate.", "Computational approaches have largely focused on classifying the frame of a full news article while framing signals are often subtle and local.", "Furthermore, automatic news analysi...
[ "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "result", "result", "abstain", "method", "method", "objective", "abstain", "method", "objective", "result", "obj...
[ "Dense passage retrieval has been shown to be an effective approach for information retrieval tasks such as open domain question answering.", "Under this paradigm, a dual-encoder model is learned to encode questions and passages separately into vector representations, and all the passage vectors are then pre-comp...
[ "abstain", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", ...
[ "In an era where generating content and publishing it is so easy, we are bombarded with information and are exposed to all kinds of claims, some of which do not always rank high on the truth scale.", "This paper suggests that the key to a longer-term, holistic, and systematic approach to navigating this informati...
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[ "We present neural syntactic generative models with exact marginalization that support both dependency parsing and language modeling.", "Exact marginalization is made tractable through dynamic programming over shift-reduce parsing and minimal RNN-based feature sets.", "Our algorithms complement previous approac...
[ "method", "abstain", "abstain", "result", "result", "result", "objective", "abstain", "objective", "objective", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "result", "result", "abstai...
[ "We present ASDiv ( A cademia S inica Di-v erse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers.", "Existing MWP corpora for studying AI progress remain limited either in language usage patte...
[ "method", "abstain", "objective", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", ...
[ "Different languages might have different word orders.", "In this paper, we investigate cross-lingual transfer and posit that an order-agnostic model will perform better when transferring to distant foreign languages.", "To test our hypothesis, we train dependency parsers on an English corpus and evaluate their...
[ "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "othe...
[ "Short texts challenge NLP tasks such as named entity recognition, disambiguation, linking and relation inference because they do not provide sufficient context or are partially malformed (e.g. wrt. capitalization, long tail entities, implicit relations).", "In this work, we present the Falcon approach which effe...
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[ "This work connects language model adaptation with concepts of machine learning theory.", "We consider a training setup with a large out-of-domain set and a small in-domain set.", "We derive how the benefit of training a model on either set depends on the size of the sets and the distance between their underlyi...
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[ "We propose a method for generating paraphrases of English questions that retain the original intent but use a different surface form.", "Our model combines a careful choice of training objective with a principled information bottleneck, to induce a latent encoding space that disentangles meaning and form.", "W...
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[ "In this work, we define the task of teaser generation and provide an evaluation benchmark and baseline systems for the process of generating teasers.", "A teaser is a short reading suggestion for an article that is illustrative and includes curiosity-arousing elements to entice potential readers to read particul...
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[ "Semantic parsers map natural language utterances into meaning representations ( e.g. pro-grams).", "Such models are typically bottlenecked by the paucity of training data due to the laborious annotation efforts.", "Recent studies have performed zero-shot learning by synthesizing training examples of canonical ...
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[ "Event extraction is challenging due to the complex structure of event records and the semantic gap between text and event.", "Traditional methods usually extract event records by decomposing the complex structure prediction task into multiple subtasks.", "In this paper, we propose TEXT 2E VENT , a sequence-to-...
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[ "Hyperbolic neural networks have shown great potential for modeling complex data.", "However, existing hyperbolic networks are not completely hyperbolic, as they encode features in the hyperbolic space yet formalize most of their operations in the tangent space (a Euclidean subspace) at the origin of the hyperbol...
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[ "In recent years, knowledge graph embedding becomes a pretty hot research topic of artificial intelligence and plays increasingly vital roles in various downstream applications, such as recommendation and question answering.", "However, existing methods for knowledge graph embedding can not make a proper trade-of...
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[ "Multilingual pre-trained language models, such as mBERT and XLM-R, have shown impressive cross-lingual ability.", "Surprisingly, both of them use multilingual masked language model (MLM) without any cross-lingual supervision or aligned data.", "Despite the encouraging results, we still lack a clear understandi...
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[ "Joshua Maynez Google Research", "joshuahm@google.com dipanjand@google.com", "Michael Collins Google Research", "mjcollins@google.com lapata@google.com", "Abstract", "We propose Composition Sampling, a simple but effective method to generate diverse outputs for conditional generation of higher quality com...
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[ "Recently, there has been significant progress in studying neural networks to translate text descriptions into SQL queries.", "Despite achieving good performance on some public benchmarks, existing text-to-SQL models typically rely on the lexical matching between words in natural language (NL) questions and token...
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