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scim
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naacl_data_prog

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[ "Recent pretrained language models solved many reading comprehension benchmarks, where questions are written with the access to the evidence document.", "However, datasets containing information-seeking queries where evidence documents are provided after the queries are written independently remain challenging.",...
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[ "Unsupervised relation discovery aims to discover new relations from a given text corpus without annotated data.", "However, it does not consider existing human annotated knowledge bases even when they are relevant to the relations to be discovered.", "In this paper, we study the problem of how to use out-of-re...
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[ "Language Technology Lab, University of Cambridge Department of Computing Science, University of Glasgow Department of Data Science and AI, Monash University {zm324, fl399, ys484, cac74, nhc30}@cam.ac.uk ehsan.shareghi@monash.edu", "Abstract Knowledge probing is crucial for understanding the knowledge transfe...
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[ "Word embeddings derived from human-generated corpora inherit strong gender bias which can be further amplified by downstream models.", "Some commonly adopted debiasing approaches, including the seminal Hard Debias algorithm (Bolukbasi et al., 2016), apply post-processing procedures that project pre-trained word ...
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[ "In the field of sentiment analysis, several studies have highlighted that a single sentence may express multiple, sometimes contrasting, sentiments and emotions, each with its own experiencer, target and/or cause.", "To this end, over the past few years researchers have started to collect and annotate data manua...
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[ "Previous work of class-incremental learning for Named Entity Recognition (NER) relies on the assumption that there exists abundance of labeled data for the training of new classes.", "In this work, we study a more challenging but practical problem, i.e. , few-shot class-incremental learning for NER, where an NER...
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[ "Univeristy of Chicago dbrentari@uchicago.edu", "Greg Shakhnarovich TTI-Chicago greg@ttic.edu", "Abstract", "Natural language processing for sign language videoincluding tasks like recognition, translation, and searchis crucial for making ar-tificial intelligence technologies accessible to deaf individuals, a...
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[ "Virtual agents are becoming a prominent channel of interaction in customer service.", "Not all customer interactions are smooth, however, and some can become almost comically bad.", "In such instances, a human agent might need to step in and salvage the conversation.", "Detecting bad conversations is importa...
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[ "Emotion-cause pair extraction aims to extract all emotion clauses coupled with their cause clauses from a given document.", "Previous work employs two-step approaches, in which the first step extracts emotion clauses and cause clauses separately, and the second step trains a classifier to filter out negative pai...
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[ "Current methods for few-shot fine-tuning of pretrained masked language models (PLMs) require carefully engineered prompts and verbalizers for each new task to convert examples into a cloze-format that the PLM can score.", "In this work, we propose PERFECT , a simple and efficient method for few-shot fine-tuning ...
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[ "Incorporating syntax into neural approaches in NLP has a multitude of practical and scientific benefits.", "For instance, a language model that is syntax-aware is likely to be able to produce better samples; even a discriminative model like BERT with a syntax module could be used for core NLP tasks like unsuperv...
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[ "Recently, considerable literature has grown up around the theme of few-shot named entity recognition (NER), but little published benchmark data specifically focused on the practical and challenging task.", "Current approaches collect existing supervised NER datasets and reorganize them into the few-shot setting ...
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[ "Chinese pre-trained language models usually process text as a sequence of characters, while ignoring more coarse granularity, e.g., words.", "In this work, we propose a novel pre-training paradigm for Chinese Lattice-BERT, which explicitly incorporates word representations along with characters, thus can model ...
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[ "Class-based language models (LMs) have been long devised to address context sparsity in n -gram LMs.", "In this study, we revisit this approach in the context of neural LMs.", "We hypothesize that class-based prediction leads to an implicit context aggregation for similar words and thus can improve generalizat...
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[ "Cross-lingual Hypernymy Detection involves determining if a word in one language (fruit) is a hypernym of a word in another language (pomme i.e. apple in French).", "The ability to detect hypernymy cross-lingually can aid in solving cross-lingual versions of tasks such as textual entailment and event coreference...
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[ "When constructing models that learn from noisy labels produced by multiple annotators, it is important to accurately estimate the reliability of annotators.", "Annotators may provide labels of inconsistent quality due to their varying expertise and reliability in a domain.", "Previous studies have mostly focus...
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[ "Chinese NLP applications that rely on large text often contain huge amounts of vocabulary which are sparse in corpus.", "We show that characters' written form, Glyphs , in ideographic languages could carry rich semantics.", "We present a multi-modal model, Glyph2Vec , to tackle Chinese out-of-vocabulary word e...
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[ "Neural network models for many NLP tasks have grown increasingly complex in recent years, making training and deployment more difficult.", "A number of recent papers have questioned the necessity of such architectures and found that well-executed, simpler models are quite effective.", "We show that this is als...
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[ "Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question answering or conversational systems.", "Entity linking on short text (e.g., single sentence or question) poses particular challenges due to limited contex...
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[ "Existing paraphrase identification datasets lack sentence pairs that have high lexical overlap without being paraphrases.", "Models trained on such data fail to distinguish pairs like flights from New York to Florida and flights from Florida to New York .", "This paper introduces PAWS ( P araphrase A dversarie...
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[ "Event extraction for the biomedical domain is more challenging than that in the general news domain since it requires broader acquisition of domain-specific knowledge and deeper understanding of complex contexts.", "To better encode contextual information and external background knowledge, we propose a novel kno...
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[ "Dongyeop Kang dongyeopk@berkeley.eduUCBerkeley", "Eduard Hovy hovy@cs.cmu.edu Carnegie Mellon University", "Abstract Every natural text is written in some style.", "Style is formed by a complex combination of different stylistic factors, including formality markers, emotions, metaphors, etc.", "One cannot...
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[ "Maintaining consistent personas is essential for dialogue agents.", "Although tremendous advancements have been brought, the limited-scale of annotated persona-dense data are still barriers towards training robust and consistent persona-based dialogue models.", "In this work, we show how the challenges can be ...
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[ "Yuanhe Tian , Yan Song , Xiang Ao , Fei Xia , Xiaojun Quan (cid:52) , Tong Zhang , Yonggang Wang University of Washington, Sinovation Ventures Chinese Academy of Sciences, (cid:52) Sun Yat-sen University The Hong Kong University of Science and Technology { yhtian, fxia } @uw.edu clksong@gmail.com aoxi...
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[ "Recent progress of abstractive text summarization largely relies on large pre-trained sequence-to-sequence Transformer models, which are computationally expensive.", "This paper aims to distill these large models into smaller ones for faster inference and with minimal performance loss.", "Pseudo-labeling based...
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[ "As a fine-grained task, the annotation cost of aspect term extraction is extremely high.", "Recent attempts alleviate this issue using domain adaptation that transfers common knowledge across domains.", "Since most aspect terms are domain-specific, they cannot be transferred directly.", "Existing methods sol...
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[ "Even though several methods have proposed to defend textual neural network (NN) models against black-box adversarial attacks, they often defend against a specific text perturbation strategy and/or require re-training the models from scratch.", "This leads to a lack of generalization in practice and redundant com...
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[ "This paper introduces Dynamic Programming Encoding (DPE), a new segmentation algorithm for tokenizing sentences into subword units.", "We view the subword segmentation of output sentences as a latent variable that should be marginalized out for learning and inference.", "A mixed character-subword transformer i...
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[ "We present an approach for generating clarification questions with the goal of eliciting new information that would make the given textual context more complete.", "We propose that modeling hypothetical answers (to clarification questions) as latent variables can guide our approach into generating more useful cl...
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[ "Unsupervised commonsense question answering is appealing since it does not rely on any labeled task data.", "Among existing work, a popular solution is to use pre-trained language models to score candidate choices directly conditioned on the question or context.", "However, such scores from language models can...
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[ "{ eaclark7,yangfeng,nasmith } @cs.washington.edu", "Abstract We introduce an approach to neural text generation that explicitly represents entities mentioned in the text.", "Entity representations are vectors that are updated as the text proceeds; they are designed specifically for narrative text like fiction ...
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[ "Recently, many studies are emerging towards building a retrieval-based dialogue system that is able to effectively leverage background knowledge (e.g., documents) when conversing with humans.", "However, it is non-trivial to collect large-scale dialogues that are naturally grounded on the background documents, w...
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[ "Existing entity typing systems usually exploit the type hierarchy provided by knowledge base (KB) schema to model label correlations and thus improve the overall performance.", "Such techniques, however, are not directly applicable to more open and practical scenarios where the type set is not restricted by KB s...
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[ "Hate speech classifiers trained on imbalanced datasets struggle to determine if group identifiers like gay or black are used in offensive or prejudiced ways.", "Such biases manifest in false positives when these identifiers are present, due to models' inability to learn the contexts which constitute a hateful us...
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[ "Opinion prediction on Twitter is challenging due to the transient nature of tweet content and neighbourhood context.", "In this paper, we model users' tweet posting behaviour as a temporal point process to jointly predict the posting time and the stance label of the next tweet given a user's historical tweet seq...
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[ "The robustness of Text-to-SQL parsers against adversarial perturbations plays a crucial role in delivering highly reliable applications.", "Previous studies along this line primarily focused on perturbations in the natural language question side, neglecting the variability of tables.", "Motivated by this, we p...
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[ "Modelling prosody variation is critical for synthesizing natural and expressive speech in end-to-end text-to-speech (TTS) systems.", "In this paper, a cross-utterance conditional VAE (CUC-VAE) is proposed to estimate a posterior probability distribution of the latent prosody features for each phoneme by conditio...
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[ "Large pre-trained language models (LMs) are known to encode substantial amounts of linguistic information.", "However, high-level reasoning skills, such as numerical reasoning, are difficult to learn from a language-modeling objective only.", "Consequently, existing models for numerical reasoning have used spe...
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[ "Abstract", "Due to the scarcity of annotated data, Abstract Meaning Representation (AMR) research is relatively limited and challenging for languages other than English.", "Upon the availability of English AMR dataset and English-to-X parallel datasets, in this paper we propose a novel cross-lingual pre-traini...
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[ "This paper presents an investigation on the distribution of word vectors belonging to a certain word class in a pre-trained word vector space.", "To this end, we made several assumptions about the distribution, modeled the distribution accordingly, and validated each assump-tion by comparing the goodness of each...
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[ "People rely on digital task management tools, such as email or to-do apps, to manage their tasks.", "Some of these tasks are large and complex, leading to action paralysis and feelings of being overwhelmed on the part of the user.", "The micro-productivity literature has shown that such tasks could benefit fro...
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[ "The task of long-form question answering (LFQA) involves retrieving documents relevant to a given question and using them to generate a paragraph-length answer.", "While many models have recently been proposed for LFQA, we show in this paper that the task formulation raises fundamental challenges regarding evalu...
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[ "Recent neural network models have achieved impressive performance on sentiment classification in English as well as other languages.", "Their success heavily depends on the availability of a large amount of labeled data or parallel corpus.", "In this paper, we investigate an extreme scenario of cross-lingual s...
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[ "The goal-oriented dialogue system needs to be optimized for tracking the dialogue flow and carrying out an effective conversation under various situations to meet the user goal.", "The traditional approach to building such a dialogue system is to take a pipelined modular architecture, where its modules are optim...
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[ "Continual learning is essential for real-world deployment when there is a need to quickly adapt the model to new tasks without forgetting knowledge of old tasks.", "Existing work on continual sequence generation either always reuses existing parameters to learn new tasks, which is vulnerable to catastrophic forg...
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[ "Maintaining a consistent personality in conversations is quite natural for human beings, but is still a non-trivial task for machines.", "The persona-based dialogue generation task is thus introduced to tackle the personality-inconsistent problem by incorporating explicit persona text into dialogue generation mo...
[ "abstain", "abstain", "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "ab...
[ "Text style transfer rephrases a text from a source style (e.g., informal) to a target style (e.g., formal) while keeping its original meaning.", "Despite the success existing works have achieved using a parallel corpus for the two styles, transferring text style has proven significantly more challenging when the...
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[ "Reasoning about implied relationships (e.g. paraphrastic, common sense, encyclopedic) between pairs of words is crucial for many cross-sentence inference problems.", "This paper proposes new methods for learning and using embeddings of word pairs that implicitly represent background knowledge about such relation...
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[ "Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats.", "Following reasonable procedures and using various support skills can help to effectively provide support.", "However, due to the lack of a well-designed t...
[ "abstain", "abstain", "abstain", "abstain", "method", "method", "method", "result", "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "result", "absta...
[ "Detecting rumors on social media is a very critical task with significant implications to the economy, public health, etc.", "Previous works generally capture effective features from texts and the propagation structure.", "However, the uncertainty caused by unreliable relations in the propagation structure is ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Word alignment and machine translation are two closely related tasks.", "Neural translation models, such as RNN-based and Transformer models, employ a target-to-source attention mechanism which can provide rough word alignments, but with a rather low accuracy.", "High-quality word alignment can help neural mac...
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[ "Although automated metrics are commonly used to evaluate NLG systems, they often correlate poorly with human judgements.", "Newer metrics such as BERTScore have addressed many weaknesses in prior metrics such as BLEU and ROUGE, which rely on -gram matching.", "These newer methods, however, are still limited i...
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[ "We introduce Rosita, a method to produce multilingual contextual word representations by training a single language model on text from multiple languages.", "Our method combines the advantages of contextual word representations with those of multilingual representation learning.", "We produce language models f...
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[ "Interpretable rationales for model predictions play a critical role in practical applications.", "In this study, we develop models possessing interpretable inference process for structured prediction.", "Specifically, we present a method of instance-based learning that learns similarities between spans.", "A...
[ "abstain", "objective", "method", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "other", "abstain", "abstain", "abstain", "method", "a...
[ "In recent years, math word problem solving has received considerable attention and achieved promising results, but previous methods rarely take numerical values into consideration.", "Most methods treat the numerical values in the problems as number symbols, and ignore the prominent role of the numerical values ...
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[ "Recent work has found evidence that natural languages are shaped by pressures for ecient communication e.g. the more contextually predictable a word is, the fewer speech sounds or syllables it has (Piantadosi et al. 2011).", "Research on the degree to which speech and language are shaped by pressures for eectiv...
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[ "The success of large-scale contextual language models has attracted great interest in probing what is encoded in their representations.", "In this work, we consider a new question: to what extent contextual representations of concrete nouns are aligned with corresponding visual representations?", "We design a ...
[ "abstain", "objective", "method", "result", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "result", "abstain", "abstain", "result",...
[ "How do masked language models (MLMs) such as BERT learn contextual representations?", "In this work, we analyze the learning dynamics of MLMs.", "We find that MLMs adopt sampled embeddings as anchors to estimate and inject contextual semantics to representations, which limits the efficiency and effectiveness o...
[ "abstain", "method", "result", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "meth...
[ "In modern recommender systems, there are usually comments or reviews from users that justify their ratings for different items.", "Trained on such textual corpus, explainable recommendation models learn to discover user interests and generate personalized explanations.", "Though able to provide plausible expla...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "method", "abstain", ...
[ "Due to the excessive cost of large-scale language model pre-training, considerable efforts have been made to train BERT progressively start from an inferior but low-cost model and gradually grow the model to increase the computational complexity.", "Our objective is to advance the understanding of Transformer gr...
[ "abstain", "objective", "objective", "result", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "method", "abstain", "result", "result", "objective", "method", "abstain", "result", "abstain", "abstain", "a...
[ "We propose a novel recurrent neural network-based approach to simultaneously handle nested named entity recognition and nested entity mention detection.", "The model learns a hypergraph representation for nested entities using features extracted from a recurrent neural network.", "In evaluations on three stand...
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[ "Classifiers in natural language processing (NLP) often have a large number of output classes.", "For example, neural language models (LMs) and machine translation (MT) models both predict tokens from a vocabulary of thousands.", "The Softmax output layer of these models typically receives as input a dense feat...
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[ "We present a neural model for question generation from knowledge base triples in a Zero-Shot setup, that is generating questions for triples containing predicates, subject types or object types that were not seen at training time.", "Our model leverages triples occurrences in the natural language corpus in an en...
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[ "Improving model generalization on held-out data is one of the core objectives in commonsense reasoning.", "Recent work has shown that models trained on the dataset with superficial cues tend to perform well on the easy test set with superficial cues but perform poorly on the hard test set without superficial cue...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "result", "other", "a...
[ "Pre-trained language models have achieved huge success on a wide range of NLP tasks.", "However, contextual representations from pre-trained models contain entangled semantic and syntactic information, and therefore cannot be directly used to derive useful semantic sentence embeddings for some tasks.", "Paraph...
[ "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "Tuning pre-trained language models (PLMs) with task-specific prompts has been a promising approach for text classification.", "Particularly, previous studies suggest that prompt-tuning has remarkable superiority in the low-data scenario over the generic fine-tuning methods with extra classifiers.", "The core i...
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[ "Knowledge inference on knowledge graph has attracted extensive attention, which aims to find out connotative valid facts in knowledge graph and is very helpful for improving the performance of many downstream applications.", "However, researchers have mainly poured attention to knowledge inference on binary fact...
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[ "Spoken language translation applications for speech suffer due to conversational speech phenomena, particularly the presence of disfluencies.", "With the rise of end-to-end speech translation models, processing steps such as disfluency removal that were previously an intermediate step between speech recognition ...
[ "abstain", "abstain", "method", "method", "objective", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "objective", "objective", "other", "other", "other", "other", "other", "...
[ "A release note is a technical document that describes the latest changes to a software product and is crucial in open source software development.", "However, it still remains challenging to generate release notes automatically.", "In this paper, we present a new dataset called RNSum, which contains approximat...
[ "abstain", "abstain", "objective", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "...
[ "Cross-domain sentiment classification aims to predict sentiment polarity on a target domain utilizing a classifier learned from a source domain.", "Most existing adversarial learning methods focus on aligning the global marginal distribution by fooling a domain discriminator, without taking category-specific dec...
[ "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ob...
[ "Neural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration.", "Inspired by label smoothing and driven by the ambiguity of boundary annotation in NER engineering, we propose boundary smoothing as a regularization technique for span-b...
[ "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "resu...
[ "Word vector specialisation (also known as retrofitting ) is a portable, light-weight approach to fine-tuning arbitrary distributional word vector spaces by injecting external knowledge from rich lexical resources such as WordNet.", "By design, these post-processing methods only update the vectors of words occurr...
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[ "This work introduces a new problem, relational summarization, in which the goal is to generate a natural language summary of the relationship between two lexical items in a corpus, without reference to a knowledge base.", "Motivated by the needs of novel user interfaces, we define the task and give examples of i...
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[ "Named entity recognition is a key component of many text processing pipelines and it is thus essential for this component to be robust to different types of input.", "However, domain transfer of NER models with data from multiple genres has not been widely studied.", "To this end, we conduct NER experiments in...
[ "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "method", "abstain", "objective", "objective", "method", "abs...
[ "Georgia Tech jianghm@gatech.edu", "Microsoft Research { xiaodl,jfgao } @microsoft.com", "Georgia Tech tourzhao@gatech.edu", "Abstract Transfer learning has fundamentally changed the landscape of natural language processing (NLP).", "Many state-of-the-art models are first pre-trained on a large text corpus ...
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[ "The ease of access to pre-trained transformers has enabled developers to leverage large-scale language models to build exciting applications for their users.", "While such pre-trained models offer convenient starting points for researchers and developers, there is little consideration for the societal biases cap...
[ "abstain", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "result", "abstain", "abstain", "result", "objective", "objective", "abstain", "other", "other", "othe...
[ "Side effects during neural network tuning are typically measured by overall accuracy changes.", "However, we find that even with similar overall accuracy, existing tuning methods result in non-negligible instance-wise side effects.", "Motivated by neuroscientific evidence and theoretical results, we demonstrat...
[ "abstain", "result", "objective", "objective", "abstain", "abstain", "abstain", "objective", "other", "abstain", "method", "objective", "abstain", "abstain", "abstain", "method", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "objecti...
[ "In this paper, we propose Shallow Aggressive Decoding (SAD) to improve the online inference efficiency of the Transformer for instantaneous Grammatical Error Correction (GEC).", "SAD optimizes the online inference efficiency for GEC by two innovations: 1) it aggressively decodes as many tokens as possible in par...
[ "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "other", "result", "abstain", "other", "abstain", "result", "objective", "objective", "abstain", "other", "other", "other", ...
[ "Large-scale language models (LMs) pretrained on massive corpora of text, such as GPT-2, are powerful open-domain text generators.", "However, as our systematic examination reveals, it is still challenging for such models to generate coherent long passages of text (e.g., 1000 tokens), especially when the models a...
[ "abstain", "result", "abstain", "objective", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "absta...
[ "Erion Cano Institute of Formal and Applied Linguistics, Charles University, Prague, Czech Republic cano@ufal.mff.cuni.cz", "Ondrej Bojar Institute of Formal and Applied Linguistics, Charles University, Prague, Czech Republic bojar@ufal.mff.cuni.cz", "Abstract", "Authors' keyphrases assigned to scientific art...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", ...
[ "Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of Who expressed what opinions towards what in one sentence.", "In this work, motivated by its span-based representations of opinion expressions and ...
[ "abstain", "objective", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "abstain", "method", "abstain",...
[ "Multilingual neural machine translation models are trained to maximize the likelihood of a mix of examples drawn from multiple language pairs.", "The dominant inductive bias applied to these models is a shared vocabulary and a shared set of parameters across languages; the inputs and labels corresponding to exam...
[ "abstain", "abstain", "abstain", "method", "objective", "objective", "objective", "method", "abstain", "abstain", "abstain", "method", "abstain", "other", "method", "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "objective", "meth...
[ "In this paper, we address three challenges in utterance-level emotion recognition in dialogue systems: (1) the same word can deliver different emotions in different contexts; (2) some emotions are rarely seen in general dialogues; (3) long-range contextual information is hard to be effectively captured.", "We th...
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[ "Pretrained contextualized embeddings are powerful word representations for structured prediction tasks.", "Recent work found that better word representations can be obtained by concatenating different types of embeddings.", "However, the selection of embeddings to form the best concatenated representation usua...
[ "abstain", "abstain", "abstain", "objective", "abstain", "method", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "result", "method", "objective", "method", "objective", "...
[ "Neural networks equipped with self-attention have parallelizable computation, light-weight structure, and the ability to capture both long-range and local dependencies.", "Further, their expressive power and performance can be boosted by using a vector to measure pairwise dependency, but this requires to expand ...
[ "abstain", "abstain", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "method", "abst...
[ "In this paper, we address a novel task, Multiple TimeLine Summarization (MTLS), which extends the flexibility and versatility of TimeLine Summarization (TLS).", "Given any collection of time-stamped news articles, MTLS automatically discovers important yet different stories and generates a corresponding timeline...
[ "objective", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain"...
[ "Generating new events given context with correlated ones plays a crucial role in many event-centric reasoning tasks.", "Existing works either limit their scope to specific scenarios or overlook event-level correlations.", "In this paper, we propose to pre-train a general Correlation-aware context-to-Event Tran...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain"...
[ "We consider the intrinsic evaluation of neural generative dialog models through the lens of Grice's Maxims of Conversation (1975).", "Based on the maxim of Quantity (be informative), we propose Relative Utterance Quantity (RUQ) to diagnose the I don't know' problem, in which a dialog system produces generic resp...
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[ "Semantic dependency parsing, which aims to find rich bi-lexical relationships, allows words to have multiple dependency heads, resulting in graph-structured representations.", "We propose an approach to semi-supervised learning of semantic dependency parsers based on the CRF autoencoder framework.", "Our encod...
[ "abstain", "objective", "method", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "other", "abstain", "objective", "method", "method", "method", "meth...
[ "If two sentences have the same meaning, it should follow that they are equivalent in their inferential properties, i.e., each sentence should textually entail the other.", "However, many paraphrase datasets currently in widespread use rely on a sense of paraphrase based on word overlap and syntax.", "Can we te...
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[ "Cross-domain sentiment analysis has achieved promising results with the help of pre-trained language models.", "As GPT-3 appears, prompt tuning has been widely explored to enable better semantic modeling in many natural language processing tasks.", "However, directly using a fixed predefined template for cross...
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[ "Discovering the stances of media outlets and influential people on current, debatable topics is important for social statisticians and policy makers.", "Many supervised solutions exist for determining viewpoints, but manually annotating training data is costly.", "In this paper, we propose a cascaded method th...
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[ "Pragmatic inferences often subtly depend on the presence or absence of linguistic features.", "For example, the presence of a partitive construction ( of the ) increases the strength of a so-called scalar inference: listeners perceive the inference that Chris did not eat all of the cookies to be stronger after h...
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[ "It is generally believed that a translation memory (TM) should be beneficial for machine translation tasks.", "Unfortunately, existing wisdom demonstrates the superiority of TM-based neural machine translation (NMT) only on the TM-specialized translation tasks rather than general tasks, with a non-negligible com...
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[ "Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings.", "However, the process of exchange between basic NLP and applications is often assumed to emerge naturally, resulting in many innovations ...
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[ "There is growing evidence that changes in speech and language may be early markers of dementia, but much of the previous NLP work in this area has been limited by the size of the available datasets.", "Here, we compare several methods of domain adaptation to augment a small French dataset of picture descriptions...
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[ "A common factor in bias measurement methods is the use of hand-curated seed lexicons, but there remains little guidance for their selection.", "We gather seeds used in prior work, documenting their common sources and rationales, and in case studies of three English-language corpora, we enumerate the different ty...
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[ "Human conversations contain many types of information, e.g., knowledge, common sense, and language habits.", "In this paper, we propose a conversational word embedding method named PR-Embedding, which utilizes the conversation pairs (cid:104) post, reply (cid:105) 1 to learn word embedding.", "Different from p...
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[ "We introduce a new syntax-aware model for dependency-based semantic role labeling that outperforms syntax-agnostic models for English and Spanish.", "We use a BiLSTM to tag the text with supertags extracted from dependency parses, and we feed these supertags, along with words and parts of speech, into a deep hig...
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[ "The introduction of immensely large causal language models (CLMs) has rejuvenated the interest in open-ended text generation.", "However, controlling the generative process for these Transformer-based models is at large an unsolved problem.", "Earlier work has explored either plug-and-play decoding strategies ...
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