Datasets:
scim
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naacl_data_prog

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[ "Knowledge Graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges.", "Goal of the Question Answering over KG (KGQA) task is to answer natural language queries posed over the KG.", "Multi-hop KGQA requires reasoning over multiple edges of the KG to arrive ...
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[ "2 Department of Computing, The Hong Kong Polytechnic University 3 Department of Computer Science and Technology, Tongji University 4 Microsoft 5 Peng Cheng Laboratory", "Abstract", "Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models, we propose ...
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[ "We address the problem of speech act recognition (SAR) in asynchronous conversations (forums, emails).", "Unlike synchronous conversations (e.g., meetings, phone), asynchronous domains lack large labeled datasets to train an effective SAR model.", "In this paper, we propose methods to effectively leverage abun...
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[ "The automatic text-based diagnosis remains a challenging task for clinical use because it requires appropriate balance between accuracy and interpretability.", "In this paper, we attempt to propose a solution by introducing a novel framework that stacks Bayesian Network Ensembles on top of Entity-Aware Convoluti...
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[ "With the rapid development of deep learning, Seq2Seq paradigm has become prevalent for end-to-end data-to-text generation, and the BLEU scores have been increasing in recent years.", "However, it is widely recognized that there is still a gap between the quality of the texts generated by models and the texts wri...
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[ "Procedural Multimodal Documents (PMDs) organize textual instructions and corresponding images step by step.", "Comprehending PMDs and inducing their representations for the downstream reasoning tasks is designated as Procedural MultiModal Machine Comprehension (M 3 C).", "In this study, we approach Procedural ...
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[ "The main obstacle to incremental sentence processing arises from right-branching constituent structures, which are present in the majority of English sentences, as well as from optional constituents that adjoin on the right, such as right adjuncts and right conjuncts.", "In CCG, many right-branching derivations ...
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[ "We present a method for constructing taxonomic trees (e.g., WORDNET ) using pretrained language models.", "Our approach is composed of two modules, one that predicts parenthood relations and another that reconciles those predictions into trees.", "The parenthood prediction module produces likelihood scores for...
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[ "Wenxuan Shi, Fei Li, Jingye Li, Hao Fei, Donghong Ji Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China {shiwenxuan,lifei_csnlp,theodorelee,hao.fei,dhji}@whu.edu.cn", "Abstract The state-of-the-art...
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[ "Learning high-quality sentence representations benefits a wide range of natural language processing tasks.", "Though BERT-based pre-trained language models achieve high performance on many downstream tasks, the native derived sentence representations are proved to be collapsed and thus produce a poor performance...
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[ "The Surface Realization Shared Tasks of 2018 and 2019 were Natural Language Generation shared tasks with the goal of exploring approaches to surface realization from Universal-Dependency-like trees to surface strings for several languages.", "In the 2018 shared task there was very little difference in the absolu...
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[ "We propose a benchmark to measure whether a language model is truthful in generating answers to questions.", "The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics.", "We crafted questions that some humans would answer falsely due to a false belief or miscon...
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[ "Pre-trained language models have achieved huge improvement on many NLP tasks.", "However, these methods are usually designed for written text, so they do not consider the properties of spoken language.", "Therefore, this paper aims at generalizing the idea of language model pre-training to lattices generated b...
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[ "Morphological segmentation for polysynthetic languages is challenging, because a word may consist of many individual morphemes and training data can be extremely scarce.", "Since neural sequence-to-sequence (seq2seq) models define the state of the art for morphological segmentation in high-resource settings and ...
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[ "It has been a common approach to pre-train a language model on a large corpus and fine-tune it on task-specific data.", "In practice, we observe that fine-tuning a pre-trained model on a small dataset may lead to overand/or under-estimation problem.", "In this paper, we propose MC-Tailor, a novel method to all...
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[ "Given the fast development of analysis techniques for NLP and speech processing systems, few systematic studies have been conducted to compare the strengths and weaknesses of each method.", "As a step in this direction we study the case of representations of phonology in neural network models of spoken language....
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[ "Online alignment in machine translation refers to the task of aligning a target word to a source word when the target sequence has only been partially decoded.", "Good online alignments facilitate important applications such as lexically constrained translation where user-defined dictionaries are used to inject ...
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[ "This paper proposes a sophisticated neural architecture to incorporate bilingual dictionaries into Neural Machine Translation (NMT) models.", "By introducing three novel components: P ointer , D isambiguator , and C opier , our method PDC achieves the following merits inherently compared with previous efforts: (...
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[ "Negative sampling is highly effective in handling missing annotations for named entity recognition (NER).", "One of our contributions is an analysis on how it makes sense through introducing two insightful concepts: missampling and uncertainty.", "Empirical studies show low missampling rate and high uncertaint...
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[ "New words are regularly introduced to communities, yet not all of these words persist in a community's lexicon.", "Among the many factors contributing to lexical change, we focus on the understudied effect of social networks.", "We conduct a large-scale analysis of over 80k neologisms in 4420 online communitie...
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[ "Vision-language navigation (VLN) is a challenging task due to its large searching space in the environment.", "To address this problem, previous works have proposed some methods of fine-tuning a large model that pretrained on large-scale datasets.", "However, the conventional fine-tuning methods require extra ...
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[ "We study the problem of analyzing tweets with Universal Dependencies (UD; Nivre et al., 2016).", "We extend the UD guidelines to cover special constructions in tweets that affect tokenization, part-of-speech tagging, and labeled dependencies.", "Using the extended guidelines, we create a new tweet treebank for...
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[ "Subword segmentation is widely used to address the open vocabulary problem in machine translation.", "The dominant approach to subword segmentation is Byte Pair Encoding (BPE), which keeps the most frequent words intact while splitting the rare ones into multiple tokens.", "While multiple segmentations are pos...
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[ "Paraphrase generation has been widely used in various downstream tasks.", "Most tasks benefit mainly from high quality paraphrases, namely those that are semantically similar to, yet linguistically diverse from, the original sentence.", "Generating high-quality paraphrases is challenging as it becomes increasi...
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[ "Aspect-based sentiment analysis is a fine-grained sentiment classification task.", "Recently, graph neural networks over dependency trees have been explored to explicitly model connections between aspects and opinion words.", "However, the improvement is limited due to the inaccuracy of the dependency parsing ...
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[ "Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features.", "SOTA models do not make use of hierarchical representations of discourse structure.", "In this work, we leverage automatically constructed discourse pa...
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[ "Relational triple extraction is critical to understanding massive text corpora and constructing large-scale knowledge graph, which has attracted increasing research interest.", "However, existing studies still face some challenging issues, including information loss, error propagation and ignoring the interactio...
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[ "Transformer architecture has become the defacto model for many machine learning tasks from natural language processing and computer vision.", "As such, improving its computational efficiency becomes paramount.", "One of the major computational inefficiency of Transformer-based models is that they spend the ide...
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[ "The commonly used framework for unsupervised machine translation builds initial translation models of both translation directions, and then performs iterative back-translation to jointly boost their translation performance.", "The initialization stage is very important since bad initialization may wrongly squeez...
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[ "Self-attention networks (SANs) with selective mechanism has produced substantial improvements in various NLP tasks by concentrating on a subset of input words.", "However, the underlying reasons for their strong performance have not been well explained.", "In this paper, we bridge the gap by assessing the stre...
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[ "Recent pre-trained abstractive summarization systems have started to achieve credible performance, but a major barrier to their use in practice is their propensity to output summaries that are not faithful to the input and that contain factual errors.", "While a number of annotated datasets and statistical model...
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[ "Transformers have advanced the field of natural language processing (NLP) in many ways.", "At the heart of the Transformer architecture is the multi-head attention (MHA) mechanism which models pairwise interactions between the elements of the sequence.", "Despite its massive success, the current framework igno...
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[ "Detecting stance on Twitter is especially challenging because of the short length of each tweet, the continuous coinage of new terminology and hashtags, and the deviation of sentence structure from standard prose.", "Fine-tuned language models using large-scale in-domain data have been shown to be the new state-...
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[ "Spelling error correction is an important yet challenging task because a satisfactory solution of it essentially needs human-level language understanding ability.", "Without loss of generality we consider Chinese spelling error correction (CSC) in this paper.", "A state-of-the-art method for the task selects a...
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[ "We present a simple yet effective T argeted A dversarial T raining ( TAT ) algorithm to improve adversarial training for natural language understanding.", "The key idea is to introspect current mistakes and prioritize adversarial training steps to where the model errs the most.", "Experiments show that TAT can...
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[ "Many joint entity relation extraction models setup two separated label spaces for the two sub-tasks (i.e., entity detection and relation classification).", "We argue that this setting may hinder the information interaction between entities and relations.", "In this work, we propose to eliminate the different t...
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[ "Undermining the impact of hateful content with informed and non-aggressive responses, called counter narratives, has emerged as a possible solution for having healthier online communities.", "Thus, some NLP studies have started addressing the task of counter narrative generation.", "Although such studies have ...
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[ "We propose the task of updated headline generation , in which a system generates a headline for an updated article, considering both the previous article and headline.", "The system must identify the novel information in the article update, and modify the existing headline accordingly.", "We create data for th...
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[ "While pretrained models such as BERT have shown large gains across natural language understanding tasks, their performance can be improved by further training the model on a data-rich intermediate task , before fine-tuning it on a target task.", "However, it is still poorly understood when and why intermediate-t...
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[ "Knowledge graph embedding (KGE) models represent each entity and relation of a knowledge graph (KG) with low-dimensional embedding vectors.", "These methods have recently been applied to KG link prediction and question answering over incomplete KGs (KGQA).", "KGEs typically create an embedding for each entity ...
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[ "Non-autoregressive neural machine translation (NAT) predicts the entire target sequence simultaneously and significantly accelerates inference process.", "However, NAT discards the dependency information in a sentence, and thus inevitably suffers from the multi-modality problem: the target tokens may be provided...
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[ "Word sense disambiguation (WSD) is a crucial problem in the natural language processing (NLP) community.", "Current methods achieve decent performance by utilizing supervised learning and large pre-trained language models.", "However, the imbalanced training dataset leads to poor performance on rare senses and...
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[ "Abstract Recent works have shown that supervised models often exploit data artifacts to achieve good test scores while their performance severely degrades on samples outside their training distribution.", "Contrast sets (Gardner et al., 2020) quantify this phenomenon by perturbing test samples in a minimal way s...
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[ "This paper describes a language-independent model for fully unsupervised morphological analysis that exploits a universal framework leveraging morphological typology.", "By modeling morphological processes including suffixation, prefixation, infixation, and full and partial reduplication with constrained stem ch...
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[ "Multilingual neural machine translation with a single model has drawn much attention due to its capability to deal with multiple languages.", "However, the current multilingual translation paradigm often makes the model tend to preserve the general knowledge, but ignore the language-specific knowledge.", "Some...
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[ "Existing approaches to active learning maximize the system performance by sampling unlabeled instances for annotation that yield the most efficient training.", "However, when active learning is integrated with an end-user application, this can lead to frustration for participating users, as they spend time label...
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[ "This work takes a first step toward movie content analysis by tackling the novel task of movie overview generation.", "Overviews are natural language texts that give a first impression of a movie, describing aspects such as its genre, plot, mood, or artistic style.", "We create a dataset that consists of movie...
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[ "Petroni et al. (2019) demonstrated that it is possible to retrieve world facts from a pre-trained language model by expressing them as cloze-style prompts and interpret the model's prediction accuracy as a lower bound on the amount of factual information it encodes.", "Subsequent work has attempted to tighten th...
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[ "The analysis of data in which multiple languages are represented has gained popularity among computational linguists in recent years.", "So far, much of this research focuses mainly on the improvement of computational methods and largely ignores linguistic and social aspects of C-S discussed across a wide range ...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "The lack of meaningful automatic evaluation metrics for dialog has impeded open-domain dialog research.", "Standard language generation metrics have been shown to be ineffective for evaluating dialog models.", "To this end, this paper presents USR , an U n S upervised and R eference-free evaluation metric for ...
[ "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objecti...
[ "Concept graphs are created as universal taxonomies for text understanding in the open domain knowledge.", "The nodes in concept graphs include both entities and concepts.", "The edges are from entities to concepts, showing that an entity is an instance of a concept.", "In this paper, we propose the task of l...
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[ "We present a simple approach for text infilling , the task of predicting missing spans of text at any position in a document.", "While infilling could enable rich functionality especially for writing assistance tools, more attention has been devoted to language modelinga special case of infilling where text is p...
[ "method", "abstain", "objective", "method", "result", "result", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "result", "abstain", "result", "result", "method", "other", "other", "abstain", "abstain", ...
[ "Low-shot relation extraction (RE) aims to recognize novel relations with very few or even no samples, which is critical in real scenario application.", "Few-shot and zero-shot RE are two representative low-shot RE tasks, which seem to be with similar target but require totally different underlying abilities.", ...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Document-level MT models are still far from satisfactory.", "Existing work extend translation unit from single sentence to multiple sentences.", "However, study shows that when we further enlarge the translation unit to a whole document, supervised training of Transformer can fail.", "In this paper, we find ...
[ "abstain", "abstain", "result", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "Story generation is an open-ended and subjective task, which poses a challenge for evaluating story generation models.", "We present CHOOSE YOUR OWNADVENTURE , a collaborative writing setup for pairwise model evaluation.", "Two models generate suggestions to people as they write a short story; we ask writers t...
[ "abstain", "method", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "method", "abstain"...
[ "Named Entity Recognition (NER) for low-resource languages is a both practical and challenging research problem.", "This paper addresses zero-shot transfer for cross-lingual NER, especially when the amount of source-language training data is also limited.", "The paper first proposes a simple but effective label...
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[ "Off-topic spoken response detection, the task aiming at predicting whether a response is off-topic for the corresponding prompt, is important for an automated speaking assessment system.", "In many real-world educational applications, off-topic spoken response detectors are required to achieve high recall for of...
[ "abstain", "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "In this paper, we consider advancing web-scale knowledge extraction and alignment by integrating OpenIE extractions in the form of (subject, predicate, object) triples with Knowledge Bases (KB).", "Traditional techniques from universal schema and from schema mapping fall in two extremes: either they perform inst...
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[ "Professional summaries are written with document-level information, such as the theme of the document, in mind.", "This is in contrast with most seq2seq decoders which simultaneously learn to focus on salient content, while deciding what to generate, at each decoding step.", "With the motivation to narrow this...
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[ "Non-task oriented dialogue systems have achieved great success in recent years due to largely accessible conversation data and the development of deep learning techniques.", "Given a context, current systems are able to yield a relevant and fluent response, but sometimes make logical mistakes because of weak rea...
[ "abstain", "abstain", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "abstain...
[ "We introduce a transductive model for parsing into Universal Decompositional Semantics (UDS) representations, which jointly learns to map natural language utterances into UDS graph structures and annotate the graph with decompositional semantic attribute scores.", "We also introduce a strong pipeline model for p...
[ "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "other", "abstain", "abstain", "abstain", "result", "other", "other", "method", "o...
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[ "Data-driven approaches using neural networks have achieved promising performances in natural language generation (NLG).", "However, neural generators are prone to make mistakes, e.g., neglecting an input slot value and generating a redundant slot value.", "Prior works refer this to hallucination phenomenon .",...
[ "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "objective", ...
[ "Multi-hop reasoning requires aggregation and inference from multiple facts.", "To retrieve such facts, we propose a simple approach that retrieves and reranks set of evidence facts jointly.", "Our approach first generates unsupervised clusters of sentences as candidate evidence by accounting links between sent...
[ "abstain", "objective", "objective", "abstain", "objective", "objective", "result", "objective", "objective", "abstain", "other", "objective", "objective", "objective", "objective", "abstain", "abstain", "result", "abstain", "objective", "objective", "abstain", "objective...
[ "Cross-lingual retrieval aims to retrieve relevant text across languages.", "Current methods typically achieve cross-lingual retrieval by learning language-agnostic text representations in word or sentence level.", "However, how to learn phrase representations for cross-lingual phrase retrieval is still an open...
[ "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "o...
[ "The curse of knowledge can impede communication between experts and laymen.", "We propose a new task of expertise style transfer and contribute a manually annotated dataset with the goal of alleviating such cognitive biases.", "Solving this task not only simplifies the professional language, but also improves ...
[ "abstain", "objective", "abstain", "abstain", "method", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "meth...
[ "Sentiment transfer is one popular example of a text style transfer task, where the goal is to reverse the sentiment polarity of a text.", "With a sentiment reversal comes also a reversal in meaning.", "We introduce a different but related task called positive reframing in which we neutralize a negative point o...
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[ "We describe a span-level supervised attention loss that improves compositional generalization in semantic parsers.", "Our approach builds on existing losses that encourage attention maps in neural sequence-to-sequence models to imitate the output of classical word alignment algorithms.", "Where past work has u...
[ "result", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", ...
[ "Previous studies in multimodal sentiment analysis have used limited datasets, which only contain unified multimodal annotations.", "However, the unified annotations do not always reflect the independent sentiment of single modalities and limit the model to capture the difference between modalities.", "In this ...
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[ "A recently proposed lattice model has demonstrated that words in character sequence can provide rich word boundary information for character-based Chinese NER model.", "In this model, word information is integrated into a shortcut path between the start and the end characters of the word.", "However, the exist...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective"...
[ "Role-oriented dialogue summarization is to generate summaries for different roles in the dialogue, e.g. , merchants and consumers.", "Existing methods handle this task by summarizing each role's content separately and thus are prone to ignore the information from other roles.", "However, we believe that other ...
[ "abstain", "abstain", "method", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain",...
[ "As part of growing NLP capabilities, coupled with an awareness of the ethical dimensions of research, questions have been raised about whether particular datasets and tasks should be deemed off-limits for NLP research.", "We examine this question with respect to a paper on automatic legal sentencing from EMNLP 2...
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[ "Data augmentation is an effective way to improve the performance of many neural text generation models.", "However, current data augmentation methods need to define or choose proper data mapping functions that map the original samples into the augmented samples.", "In this work, we derive an objective to formu...
[ "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "result", "objective", "method", "objecti...
[ "Effective dialogue involves grounding, the process of establishing mutual knowledge that is essential for communication between people.", "Modern dialogue systems are not explicitly trained to build common ground, and therefore overlook this important aspect of communication.", "Improvisational theater (improv...
[ "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstai...
[ "Knowledge graphs have evolved rapidly in recent years and their usefulness has been demonstrated in many artificial intelligence tasks.", "However, knowledge graphs often have lots of missing facts.", "To solve this problem, many knowledge graph embedding models have been developed to populate knowledge graphs...
[ "abstain", "abstain", "abstain", "abstain", "method", "objective", "result", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "method", "abstain", "objective", "objective", "objective", "objective", ...
[ "Document-level neural machine translation (NMT) has proven to be of profound value for its effectiveness on capturing contextual information.", "Nevertheless, existing approaches 1) simply introduce the representations of context sentences without explicitly characterizing the inter-sentence reasoning process; a...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "objective", "abstain", ...
[ "The neural attention model has achieved great success in data-to-text generation tasks.", "Though usually excelling at producing fluent text, it suffers from the problem of information missing, repetition and hallucination.", "Due to the black-box nature of the neural attention architecture, avoiding these pro...
[ "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "objective", "result", "abstain", "method", "abstain", ...
[ "With the increasing popularity of posting multimodal messages online, many recent studies have been carried out utilizing both textual and visual information for multi-modal sarcasm detection.", "In this paper, we investigate multimodal sarcasm detection from a novel perspective by constructing a cross-modal gra...
[ "abstain", "objective", "objective", "abstain", "abstain", "result", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Peer reviewing is a central component in the scientific publishing process.", "We present the first public dataset of scientific peer reviews available for research purposes (PeerRead v1), 1 providing an opportunity to study this important artifact.", "The dataset consists of 14.7K paper drafts and the corresp...
[ "abstain", "objective", "abstain", "abstain", "result", "objective", "objective", "result", "abstain", "abstain", "abstain", "other", "abstain", "objective", "method", "abstain", "abstain", "other", "method", "objective", "method", "abstain", "abstain", "method", "abs...
[ "Pre-trained language models have shown remarkable success in improving various downstream NLP tasks due to their ability to capture dependencies in textual data and generate natural responses.", "In this paper, we leverage the power of pre-trained language models for improving video-grounded dialogue, which is v...
[ "abstain", "objective", "objective", "abstain", "result", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "method", "...
[ "Abstract", "The Neural Machine Translation (NMT) model is essentially a joint language model conditioned on both the source sentence and partial translation.", "Therefore, the NMT model naturally involves the mechanism of the Language Model (LM) that predicts the next token only based on partial translation.",...
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[ "We present a novel method to extract parallel sentences from two monolingual corpora, using neural machine translation.", "Our method relies on translating sentences in one corpus, but constraining the decoding by a prefix tree built on the other corpus.", "We argue that a neural machine translation system by ...
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[ "Sentences with gapping, such as Paul likes coffee and Mary tea , lack an overt predicate to indicate the relation between two or more arguments.", "Surface syntax representations of such sentences are often produced poorly by parsers, and even if correct, not well suited to downstream natural language understand...
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[ "Humans (e.g., crowdworkers) have a remarkable ability in solving different tasks, by simply reading textual instructions that define them and looking at a few examples.", "Despite the success of the conventional supervised learning on individual datasets, such models often struggle with generalization across tas...
[ "abstain", "abstain", "abstain", "method", "abstain", "result", "method", "result", "abstain", "abstain", "other", "abstain", "objective", "abstain", "method", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Transformer is an attention-based neural network, which consists of two sublayers, namely, Self-Attention Network (SAN) and Feed-Forward Network (FFN).", "Existing research explores to enhance the two sublayers separately to improve the capability of Transformer for text representation.", "In this paper, we pr...
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[ "For a natural language understanding benchmark to be useful in research, it has to consist of examples that are diverse and difficult enough to discriminate among current and near-future state-of-the-art systems.", "However, we do not yet know how best to select text sources to collect a variety of challenging e...
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[ "Transformer-based models have achieved state-of-the-art results in a wide range of natural language processing (NLP) tasks including document summarization.", "Typically these systems are trained by fine-tuning a large pretrained model to the target task.", "One issue with these transformer-based models is tha...
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[ "When reading a text, it is common to become stuck on unfamiliar words and phrases, such as polysemous words with novel senses, rarely used idioms, internet slang, or emerging entities.", "If we humans cannot figure out the meaning of those expressions from the immediate local context, we consult dictionaries for...
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[ "Despite recent advances in natural language generation, it remains challenging to control attributes of generated text.", "We propose DEXPERTS : Decoding-time Experts, a decoding-time method for controlled text generation that combines a pretrained language model with expert LMs and/or anti-expert LMs in a produ...
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[ "Several high-profile events, such as the mass testing of emotion recognition systems on vulnerable sub-populations and using question answering systems to make moral judgments, have highlighted how technology will often lead to more adverse outcomes for those that are already marginalized.", "At issue here are n...
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[ "This paper presents a neural relation extraction method to deal with the noisy training data generated by distant supervision.", "Previous studies mainly focus on sentence-level de-noising by designing neural networks with intra-bag attentions.", "In this paper, both intra-bag and inter-bag attentions are cons...
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[ "Shomir Wilson", "Abstract Organisations disclose their privacy practices by posting privacy policies on their websites.", "Even though internet users often care about their digital privacy, they usually do not read privacy policies, since understanding them requires a significant investment of time and effort....
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[ "Coreference resolution is essential for natural language understanding and has been long studied in NLP.", "In recent years, as the format of Question Answering (QA) became a standard for machine reading comprehension (MRC), there have been data collection efforts, e.g., Dasigi et al. (2019), that attempt to eva...
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[ "Multi-document summarization (MDS) has made significant progress in recent years, in part facilitated by the availability of new, dedicated datasets and capacious language models.", "However, a standing limitation of these models is that they are trained against limited references and with plain maximum-likeliho...
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[ "Although deep neural networks are effective at extracting high-level features, classification methods usually encode an input into a vector representation via simple feature aggregation operations ( e.g. pooling).", "Such operations limit the performance.", "For instance, a multi-label document may contain sev...
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[ "Dialogue State Tracking (DST) aims to keep track of users' intentions during the course of a conversation.", "In DST, modelling the relations among domains and slots is still an under-studied problem.", "Existing approaches that have considered such relations generally fall short in: (1) fusing prior slot-doma...
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[ "Multi-task learning (MTL) has been studied recently for sequence labeling.", "Typically, auxiliary tasks are selected specifically in order to improve the performance of a target task.", "Jointly learning multiple tasks in a way that benefit all of them simultaneously can in-crease the utility of MTL.", "In ...
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[ "We apply a generative segmental model of task structure, guided by narration, to action segmentation in video.", "We focus on unsupervised and weakly-supervised settings where no action labels are known during training.", "Despite its simplicity, our model performs competitively with previous work on a dataset...
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[ "We introduce neural finite state transducers (NFSTs), a family of string transduction models defining joint and conditional probability distributions over pairs of strings.", "The probability of a string pair is obtained by marginalizing over all its accepting paths in a finite state transducer.", "In contrast...
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[ "Recently, the performance of Pre-trained Language Models (PLMs) has been significantly improved by injecting knowledge facts to enhance their abilities of language understanding.", "For medical domains, the background knowledge sources are especially useful, due to the massive medical terms and their complicated...
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