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scim
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naacl_data_prog

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[ "Few-shot text classification is a fundamental NLP task in which a model aims to classify text into a large number of categories, given only a few training examples per category.", "This paper explores data augmentationa technique particularly suitable for training with limited datafor this few-shot, highly-multi...
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[ "In Machine Translation, assessing the quality of a large amount of automatic translations can be challenging.", "Automatic metrics are not reliable when it comes to high performing systems.", "In addition, resorting to human evaluators can be expensive, especially when evaluating multiple systems.", "To over...
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[ "Inducing diversity in the task of paraphrasing is an important problem in NLP with applications in data augmentation and conversational agents.", "Previous paraphrasing approaches have mainly focused on the issue of generating semantically similar paraphrases, while paying little attention towards diversity.", ...
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[ "This paper studies a new problem setting of entity alignment for knowledge graphs (KGs).", "Since KGs possess different sets of entities, there could be entities that cannot find alignment across them, leading to the problem of dangling entities .", "As the first attempt to this problem, we construct a new dat...
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[ "Crowdsourcing is regarded as one prospective solution for effective supervised learning, aiming to build large-scale annotated training data by crowd workers.", "Previous studies focus on reducing the influences from the noises of the crowdsourced annotations for supervised models.", "We take a different point...
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[ "Metaphor is an indispensable part of human cognition and everyday communication.", "Much research has been conducted elucidating metaphor processing in the mind/brain and the role it plays in communication.", "In recent years, metaphor processing systems have benefited greatly from these studies, as well as th...
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[ "Long-form answers, consisting of multiple sentences, can provide nuanced and comprehensive answers to a broader set of questions.", "To better understand this complex and understudied task, we study the functional structure of long-form answers collected from three datasets, ELI5 (Fan et al., 2019), WebGPT (Naka...
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[ "In linguistics, there are two main perspectives on negation: a semantic and a pragmatic view.", "So far, research in NLP on negation has almost exclusively adhered to the semantic view.", "In this article, we adopt the pragmatic paradigm to conduct a study of negation understanding focusing on transformer-base...
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[ "This paper presents the first study on using large-scale pre-trained language models for automated generation of an event-level temporal graph for a document.", "Despite the huge success of neural pre-training methods in NLP tasks, its potential for temporal reasoning over event graphs has not been sufficiently ...
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[ "Recent research considers few-shot intent detection as a meta-learning problem: the model is learning to learn from a consecutive set of small tasks named episodes.", "In this work, we propose PROTAUGMENT , a meta-learning algorithm for short texts classification applied to the intent detection task.", "PROTAU...
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[ "Most existing work on automated fact checking is concerned with predicting the veracity of claims based on metadata, social network spread, language used in claims, and, more recently, evidence supporting or denying claims.", "A crucial piece of the puzzle that is still missing is to understand how to automate t...
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[ "Titles of short sections within long documents support readers by guiding their focus towards relevant passages and by providing anchor-points that help to understand the progression of the document.", "The positive effects of section titles are even more pronounced when measured on readers with less developed r...
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[ "Motivated by human attention, computational attention mechanisms have been designed to help neural networks adjust their focus on spe-cific parts of the input data.", "While attention mechanisms are claimed to achieve interpretability, little is known about the actual relationships between machine and human atte...
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[ "Human-like biases and undesired social stereotypes exist in large pretrained language models.", "Given the wide adoption of these models in real-world applications, mitigating such biases has become an emerging and important task.", "In this paper, we propose an automatic method to mitigate the biases in pretr...
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[ "Emotion category is usually divided into different ones by human beings, but it is indeed difficult to clearly distinguish and define the boundaries between different emotion categories.", "The existing studies working on emotion detection usually focus on how to improve the performance of model prediction, in w...
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[ "Generative adversarial networks (GANs) have succeeded in inducing cross-lingual word embeddings maps of matching words across languages without supervision.", "Despite these successes, GANs' performance for the difficult case of distant languages is still not satisfactory.", "These limitations have been explai...
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[ "The overreliance on large parallel corpora sig-nificantly limits the applicability of machine translation systems to the majority of language pairs.", "Back-translation has been dominantly used in previous approaches for unsupervised neural machine translation, where pseudo sentence pairs are generated to train ...
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[ "Natural language processing techniques have demonstrated promising results in keyphrase generation.", "However, one of the major challenges in neural keyphrase generation is processing long documents using deep neural networks.", "Generally, documents are truncated before given as inputs to neural networks.", ...
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[ "In text classification tasks, useful information is encoded in the label names.", "Label semantic aware systems have leveraged this information for improved text classification performance during fine-tuning and prediction.", "However, use of label-semantics during pre-training has not been extensively explore...
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[ "Arabic text is typically written without short vowels (or diacritics).", "However, their presence is required for properly verbalizing Arabic and is hence essential for applications such as text to speech.", "There are two types of diacritics, namely core-word diacritics and case-endings.", "Most previous wo...
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[ "Generating long and coherent text is an important but challenging task, particularly for open-ended language generation tasks such as story generation.", "Despite the success in modeling intra-sentence coherence, existing generation models (e.g., BART) still struggle to maintain a coherent event sequence through...
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[ "Transfer learning from pretrained language models recently became the dominant approach for solving many NLP tasks.", "A common approach to transfer learning for multiple tasks that maximize parameter sharing trains one or more task-specific layers on top of the language model.", "In this paper, we present an ...
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[ "Stance detection in twitter aims at mining user stances expressed in a tweet towards a single or multiple target entities.", "To tackle this problem, most of the prior studies have been explored the traditional deep learning models, e.g., LSTM and GRU.", "However, in compared to these traditional approaches, r...
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[ "Topic modeling has been widely used for discovering the latent semantic structure of documents, but most existing methods learn topics with a flat structure.", "Although probabilistic models can generate topic hierarchies by introducing nonparametric priors like Chinese restaurant process, such methods have data...
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[ "This paper introduces two tasks: determining", "(a) the duration of possession relations and", "(b) co-possessions, i.e., whether multiple possessors possess a possessee at the same time.", "We present new annotations on top of corpora annotating possession existence, and experimental results.", "Regarding...
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[ "Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior.", "Advancement in this area can be improved using large-scale datasets with a fine-grained typology, adaptable to multiple downstream tasks.", "We introduce GoEm...
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[ "It is well-known that distributional semantic approaches have difficulty in distinguishing between synonyms and antonyms (Grefen-stette, 1992; Pad and Lapata, 2003).", "Recent work has shown that supervision available in English for this task (e.g., lexical resources) can be transferred to other languages via cr...
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[ "Metaphor generation attempts to replicate human creativity with language, which is an attractive but challengeable text generation task.", "Previous efforts mainly focus on template-based or rule-based methods and result in a lack of linguistic subtlety.", "In order to create novel metaphors, we propose a neur...
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[ "Modern NLP systems require high-quality annotated data.", "In specialized domains, expert annotations may be prohibitively expensive.", "An alternative is to rely on crowdsourcing to reduce costs at the risk of introducing noise.", "In this paper we demonstrate that directly modeling instance difficulty can ...
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[ "Within the context of event modeling and understanding, we propose a new method for neural sequence modeling that takes partially-observed sequences of discrete, external knowledge into account.", "We construct a sequential neural variational autoencoder, which uses Gumbel-Softmax reparametrization within a care...
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[ "CLIP has shown a remarkable zero-shot capability on a wide range of vision tasks.", "Previously, CLIP is only regarded as a powerful visual encoder.", "However, after being pre-trained by language supervision from a large amount of image-caption pairs, CLIP itself should also have acquired some few-shot abilit...
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[ "Modern weakly supervised methods for event detection (ED) avoid time-consuming human annotation and achieve promising results by learning from auto-labeled data.", "However, these methods typically rely on sophisticated pre-defined rules as well as existing instances in knowledge bases for automatic annotation a...
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[ "We present algorithms for aligning components of Abstract Meaning Representation (AMR) graphs to spans in English sentences.", "We leverage unsupervised learning in combination with heuristics, taking the best of both worlds from previous AMR aligners.", "Our unsupervised models, however, are more sensitive to...
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[ "With the recent success of pre-trained models in NLP, a significant focus was put on interpreting their representations.", "One of the most prominent approaches is structural probing (Hewitt and Manning, 2019), where a linear projection of word embeddings is performed in order to approximate the topology of depe...
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[ "With the advent of powerful neural language models over the last few years, research attention has increasingly focused on what aspects of language they represent that make them so successful.", "Several testing methodologies have been developed to probe models' syntactic representations.", "One popular method...
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[ "Temporal Knowledge Graphs (TKGs) have been developed and used in many different areas.", "Reasoning on TKGs that predicts potential facts (events) in the future brings great challenges to existing models.", "When facing a prediction task, human beings usually search useful historical information (i.e., clues) ...
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[ "A key problem in processing graph-based meaning representations is graph parsing , i.e. computing all possible derivations of a given graph according to a (competence) grammar.", "We demonstrate, for the first time, that exact graph parsing can be efficient for large graphs and with large Hyperedge Replacement G...
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[ "Entity Linking (EL) systems aim to automatically map mentions of an entity in text to the corresponding entity in a Knowledge Graph (KG).", "Degree of connectivity of an entity in the KG directly affects an EL system's ability to correctly link mentions in text to the entity in KG.", "This causes many EL syste...
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[ "In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification.", "It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived fr...
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[ "It is challenging to design profitable and practical trading strategies, as stock price movements are highly stochastic, and the market is heavily influenced by chaotic data across sources like news and social media.", "Existing NLP approaches largely treat stock prediction as a classification or regression prob...
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[ "We present a human-and-model-in-the-loop process for dynamically generating datasets and training better performing and more robust hate detection models.", "We provide a new dataset of 40 , 000 entries, generated and labelled by trained annotators over four rounds of dynamic data creation.", "It includes 15...
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[ "Prior methods to text segmentation are mostly at token level.", "Despite the adequacy, this na-ture limits their full potential to capture the long-term dependencies among segments.", "In this work, we propose a novel framework that incrementally segments natural language sentences at segment level.", "For e...
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[ "Recent studies indicate that NLU models are prone to rely on shortcut features for prediction, without achieving true language understanding.", "As a result, these models fail to generalize to real-world out-of-distribution data.", "In this work, we show that the words in the NLU training set can be modeled as...
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[ "Pre-trained Language Models (PLMs) have shown superior performance on various downstream Natural Language Processing (NLP) tasks.", "However, conventional pre-training objectives do not explicitly model relational facts in text, which are crucial for textual understanding.", "To address this issue, we propose ...
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[ "Question answering (QA) is an important aspect of open-domain conversational agents, garnering specific research focus in the conversational QA (ConvQA) subtask.", "One notable limitation of recent ConvQA efforts is the response being answer span extraction from the target corpus, thus ignoring the natural langu...
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[ "Unsupervised relation extraction (URE) extracts relations between named entities from raw text without manually-labelled data and existing knowledge bases (KBs).", "URE methods can be categorised into generative and discriminative approaches, which rely either on hand-crafted features or surface form.", "Howev...
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[ "Simplified Chinese to Traditional Chinese character conversion is a common preprocessing step in Chinese NLP.", "Despite this, current approaches have insufficient performance because they do not take into account that a simplified Chinese character can correspond to multiple traditional characters.", "Here, w...
[ "abstain", "abstain", "objective", "abstain", "method", "objective", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objec...
[ "We propose a S emi-superv I sed G e N erative A ctive L earning ( SIGNAL ) model to address the imbalance, efficiency, and text camouflage problems of Chinese text spam detection task.", "A self-diversity criterion is proposed for measuring the worthiness of a candidate for annotation.", "A semi-supervised var...
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[ "Hypernymy detection, a.k.a. lexical entailment, is a fundamental sub-task of many natural language understanding tasks.", "Previous explorations mostly focus on monolingual hypernymy detection on high-resource languages, e.g., English, but few investigate the low-resource scenarios.", "This paper addresses the...
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[ "Neural word representations are at the core of many state-of-the-art natural language processing models.", "A widely used approach is to pretrain, store and look up word or character embedding matrices.", "While useful, such representations occupy huge memory making it hard to deploy on-device and often do not...
[ "abstain", "abstain", "abstain", "objective", "method", "abstain", "method", "result", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "a...
[ "Controlled text perturbation is useful for evaluating and improving model generalizability.", "However, current techniques rely on training a model for every target perturbation, which is expensive and hard to generalize.", "We present T ailor , a semantically-controlled text generation system.", "T ailor bu...
[ "abstain", "abstain", "method", "abstain", "method", "abstain", "objective", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "method", "abstain", "result", "abstain", "result"...
[ "javier.turek@intel.com", "huth@cs.utexas.edu", "Abstract Language model fine-tuning is essential for modern natural language processing, but is computationally expensive and time-consuming.", "Further, the effectiveness of finetuning is limited by the inclusion of training examples that negatively affect per...
[ "abstain", "abstain", "abstain", "abstain", "result", "method", "abstain", "abstain", "result", "result", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "Adversarial training (AT) 1 is a powerful regularization method for neural networks, aiming to achieve robustness to input perturbations.", "Yet, the specific effects of the robustness obtained from AT are still unclear in the context of natural language processing.", "In this paper, we propose and analyze a n...
[ "abstain", "abstain", "objective", "result", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "The task of graph-to-text generation aims at producing sentences that preserve the meaning of input graphs.", "As a crucial defect, the current state-of-the-art models may mess up or even drop the core structural information of input graphs when generating outputs.", "We propose to tackle this problem by lever...
[ "abstain", "abstain", "objective", "method", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain...
[ "Chinese Spelling Check (CSC) is a challenging task due to the complex characteristics of Chinese characters.", "Statistics reveal that most Chinese spelling errors belong to phonological or visual errors.", "However, previous methods rarely utilize phonological and morphological knowledge of Chinese characters...
[ "abstain", "abstain", "abstain", "objective", "method", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "This work presents Keep it Simple (KiS), a new approach to unsupervised text simplification which learns to balance a reward across three properties: fluency, salience and simplicity.", "We train the model with a novel algorithm to optimize the reward ( k -SCST), in which the model proposes several candidate sim...
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[ "Literary critics often attempt to uncover meaning in a single work of literature through careful reading and analysis.", "Applying natural language processing methods to aid in such literary analyses remains a challenge in digital humanities.", "While most previous work focuses on distant reading by algorithmi...
[ "abstain", "abstain", "objective", "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "method", "objective", "result", "abstain", "a...
[ "In the literature, existing studies always consider Aspect Sentiment Classification (ASC) as an independent sentence-level classification problem aspect by aspect, which largely ignore the document-level sentiment preference information, though obviously such information is crucial for alleviating the information ...
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[ "Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog Sebastian Schuster Stanford Linguistics sebschu@stanford.edu Sonal Gupta Facebook Conversational AI sonalgupta@fb.com Rushin Shah Facebook Conversational AI rushinshah@fb.com Mike Lewis Facebook AI Research mikelewis@fb.com Abstract One of the ...
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[ "Pre-trained language models are still far from human performance in tasks that need understanding of properties (e.g. appearance, measurable quantity) and affordances of everyday objects in the real world since the text lacks such information due to reporting bias.", "In this work, we study whether integrating v...
[ "abstain", "method", "objective", "objective", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "method", "method", "abstain", "abstain", "abstain", "other", "other", "method", "abstain", "abstain", "abstain", "method", "...
[ "We explore the suitability of self-attention models for character-level neural machine translation.", "We test the standard transformer model, as well as a novel variant in which the encoder block combines information from nearby characters using convolutions.", "We perform extensive experiments on WMT and UN ...
[ "objective", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain", "abstain", "method", "method", "result", "abstain", "other", "other", "other", "other", "other", "other", "other", "other", ...
[ "Adversarial examples are important for understanding the behavior of neural models, and can improve their robustness through adversarial training.", "Recent work in natural language processing generated adversarial examples by assuming white-box access to the attacked model, and optimizing the input directly aga...
[ "abstain", "abstain", "result", "result", "abstain", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "method", "abstain", "result", "result", "other", "other", "other", "other...
[ "We present a novel pipeline for the collection of parallel data for the detoxification task.", "We collect non-toxic paraphrases for over 10,000 English toxic sentences.", "We also show that this pipeline can be used to distill a large existing corpus of paraphrases to get toxic-neutral sentence pairs.", "We...
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[ "Evaluation of open-domain dialogue systems is highly challenging and development of better techniques is highlighted time and again as desperately needed.", "Despite substantial efforts to carry out reliable live evaluation of systems in recent competitions, annotations have been abandoned and reported as too un...
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[ "State-of-the-art argument mining studies have advanced the techniques for predicting argument structures.", "However, the technology for capturing non-tree-structured arguments is still in its infancy.", "In this paper, we focus on non-tree argument mining with a neural model.", "We jointly predict propositi...
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[ "Aligning with ACL 2022 special Theme on Language Diversity: from Low Resource to Endangered Languages\", we discuss the major linguistic and sociopolitical challenges facing development of NLP technologies for African languages.", "Situating African languages in a typological framework, we discuss how the partic...
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[ "We propose UPSA, a novel approach that accomplishes Unsupervised Paraphrasing by Simulated Annealing.", "We model paraphrase generation as an optimization problem and propose a sophisticated objective function, involving semantic similarity, expression diversity, and language fluency of paraphrases.", "UPSA se...
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[ "Event extraction has long been treated as a sentence-level task in the IE community.", "We argue that this setting does not match human information seeking behavior and leads to incomplete and uninformative extraction results.", "We propose a document-level neural event argument extraction model by formulating...
[ "abstain", "result", "objective", "objective", "result", "result", "objective", "method", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain...
[ "Multi-layer multi-head self-attention mechanism is widely applied in modern neural language models.", "Attention redundancy has been observed among attention heads but has not been deeply studied in the literature.", "Using BERT-base model as an example, this paper provides a comprehensive study on attention r...
[ "abstain", "abstain", "method", "method", "abstain", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain",...
[ "Multi-hop reading comprehension requires an ability to reason across multiple documents.", "On the one hand, deep learning approaches only implicitly encode query-related information into distributed embeddings which fail to uncover the discrete relational reasoning process to infer the correct answer.", "On t...
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[ "Although pre-trained big models ( e.g. , BERT, ERNIE, XLNet, GPT3 etc.) have delivered top performance in Seq2seq modeling, their deployments in real-world applications are often hindered by the excessive computations and memory demand involved.", "For many applications, including named entity recognition (NER),...
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[ "Neural methods have been shown to achieve high performance in Named Entity Recognition (NER), but rely on costly high-quality labeled data for training, which is not always available across languages.", "While previous works have shown that unlabeled data in a target language can be used to improve cross-lingual...
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[ "We study the problem of named entity recognition (NER) from electronic medical records, which is one of the most fundamental and critical problems for medical text mining.", "Medical records which are written by clinicians from different specialties usually contain quite different terminologies and writing style...
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[ "Disparities in authorship and citations across gender can have substantial adverse consequences not just on the disadvantaged genders, but also on the field of study as a whole.", "Measuring gender gaps is a crucial step towards addressing them.", "In this work, we examine female first author percentages and t...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "objective", "abstain", ...
[ "Retrieving relevant contexts from a large corpus is a crucial step for tasks such as open-domain question answering and fact checking.", "Although neural retrieval outperforms traditional methods like tf-idf and BM25, its performance degrades considerably when applied to out-of-domain data.", "Driven by the qu...
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[ "We present a neural architecture for modeling argumentative dialogue that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument, with the goal of predicting if the argument successfully changes the OH's view.", "The model has two components: (1) vulnerable regio...
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[ "Most classification models work by first predicting a posterior probability distribution over all classes and then selecting that class with the largest estimated probability.", "In many settings however, the quality of posterior probability itself (e.g., 65% chance having diabetes), gives more reliable informat...
[ "abstain", "abstain", "abstain", "objective", "objective", "result", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "objective", "other", "other", "othe...
[ "Complex word identification (CWI) is a cornerstone process towards proper text simplification.", "CWI is highly dependent on context, whereas its difficulty is augmented by the scarcity of available datasets which vary greatly in terms of domains and languages.", "As such, it becomes increasingly more difficul...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "other", "othe...
[ "Despite the pervasiveness of clinical depression in modern society, professional help remains highly stigmatized, inaccessible, and expensive.", "Accurately diagnosing depression is difficult requiring time-intensive interviews, assessments, and analysis.", "Hence, automated methods that can assess linguistic ...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Negation scope detection is widely performed as a supervised learning task which relies upon negation labels at word level.", "This suffers from two key drawbacks: (1) such granular annotations are costly and (2) highly subjective, since, due to the absence of explicit linguistic resolution rules, human annotato...
[ "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", ...
[ "It is a common practice for recent works in vision language cross-modal reasoning to adopt a binary or multi-choice classification formulation taking as input a set of source image(s) and textual query.", "In this work, we take a sober look at such an unconditional formulation in the sense that no prior knowledg...
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[ "Learning to hash via generative models has become a powerful paradigm for fast similarity search in documents retrieval.", "To get binary representation (i.e., hash codes), the discrete distribution prior (i.e., Bernoulli Distribution) is applied to train the variational autoencoder (VAE).", "However, the disc...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "r...
[ "Obtaining training data for multi-hop question answering (QA) is time-consuming and resource-intensive.", "We explore the possibility to train a well-performed multi-hop QA model without referencing any human-labeled multihop question-answer pairs, i.e. , unsupervised multi-hop QA.", "We propose MQA-QG, an uns...
[ "abstain", "objective", "objective", "abstain", "result", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "other", "objective", "abstain", "method", "abstain", "method", "abstain", "abstain", "method", "absta...
[ "Pre-training models have been proved effective for a wide range of natural language processing tasks.", "Inspired by this, we propose a novel dialogue generation pre-training framework to support various kinds of conversations, including chit-chat, knowledge grounded dialogues, and conversational question answer...
[ "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "resul...
[ "The flexibility of the inference process in Variational Autoencoders (VAEs) has recently led to revising traditional probabilistic topic models giving rise to Neural Topic Models (NTM).", "Although these approaches have achieved significant results, surprisingly very little work has been done on how to disentang...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "method", "objec...
[ "Neural conversation models are known to generate appropriate but non-informative responses in general.", "A scenario where informativeness can be significantly enhanced is Conversing by Reading (CbR), where conversations take place with respect to a given external document.", "In previous work, the external do...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "An in-depth exploration of protein-protein interactions (PPI) is essential to understand the metabolism in addition to the regulations of biological entities like proteins, carbohydrates, and many more.", "Most of the recent PPI tasks in BioNLP domain have been carried out solely using textual data.", "In this...
[ "abstain", "abstain", "result", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abst...
[ "In human cognition, world knowledge supports the perception of object colours: knowing that trees are typically green helps to perceive their colour in certain contexts.", "We go beyond previous studies on colour terms using isolated colour swatches and study visual grounding of colour terms in realistic objects...
[ "abstain", "method", "abstain", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "result", "other", "other", "other", "other", "other", "other", "other", "objective", "other", "other", "method", "other",...
[ "Solving math word problems is a challenging task that requires accurate natural language understanding to bridge natural language texts and math expressions.", "Motivated by the intuition about how human generates the equations given the problem texts, this paper presents a neural approach to automatically solve...
[ "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "objective", "objective", "objective", "result", "objective", "other", "abstain",...
[ "We study the potential for interaction in natural language classification.", "We add a limited form of interaction for intent classification, where users provide an initial query using natural language, and the system asks for additional information using binary or multi-choice questions.", "At each turn, our ...
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[ "Different texts shall by nature correspond to different number of keyphrases.", "This desideratum is largely missing from existing neural keyphrase generation models.", "In this study, we address this problem from both modeling and evaluation perspectives.", "We first propose a recurrent generative model tha...
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[ "Recent pretraining models in Chinese neglect two important aspects specific to the Chinese language: glyph and pinyin, which carry significant syntax and semantic information for language understanding.", "In this work, we propose ChineseBERT, which incorporates both the glyph and pinyin information of Chinese c...
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[ "Recent work has investigated the interesting question using pre-trained language models (PLMs) as knowledge bases for answering open questions.", "However, existing work is limited in using small benchmarks with high test-train overlaps.", "We construct a new dataset of closed-book QA using SQuAD, and investig...
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[ "Static knowledge graph (SKG) embedding (SKGE) has been studied intensively in the past years.", "Recently, temporal knowledge graph (TKG) embedding (TKGE) has emerged.", "In this paper, we propose a Recursive Temporal Fact Embedding (RTFE) framework to transplant SKGE models to TKGs and to enhance the performa...
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[ "Open pit mines left many regions worldwide inhospitable or uninhabitable.", "Many sites are left behind in a hazardous or contaminated state, show remnants of waste, or have other restrictions imposed upon them, e.g., for the protection of human or nature.", "Such information has to be permanently managed in o...
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[ "Cross-referencing, which links passages of text to other related passages, can be a valuable study aid for facilitating comprehension of a text.", "However, cross-referencing requires first, a comprehensive thematic knowledge of the entire corpus, and second, a focused search through the corpus specifically to f...
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[ "Knowledge graphs store a large number of factual triples while they are still incomplete, inevitably.", "The previous knowledge graph completion (KGC) models predict missing links between entities merely relying on fact-view data, ignoring the valuable commonsense knowledge.", "The previous knowledge graph emb...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task.", "We propose to incorporate linguistic features into neural network models by learning syntactic dense embeddings based on linguistic features.", "To cope...
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[ "This position paper describes and critiques the Pretraining-Agnostic Identically Distributed (PAID) evaluation paradigm, which has become a central tool for measuring progress in natural language understanding.", "This paradigm consists of three stages: (1) pretraining of a word prediction model on a corpus of a...
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[ "Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages.", "However, it is important to acknowledge that speakers and the content they produce and require, vary not just by language, but also by culture."...
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