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scim
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naacl_data_prog

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[ "Recent work has shown that neural rerankers can improve results for dependency parsing over the top k trees produced by a base parser.", "However, all neural rerankers so far have been evaluated on English and Chinese only, both languages with a configurational word order and poor morphology.", "In the paper, ...
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[ "Learning to follow instructions is of fundamental importance to autonomous agents for vision-and-language navigation (VLN).", "In this paper, we study how an agent can navigate long paths when learning from a corpus that consists of shorter ones.", "We show that existing state-of-the-art agents do not generali...
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[ "Detecting disclosures of individuals' employment status on social media can provide valuable information to match job seekers with suitable vacancies, offer social protection, or measure labor market flows.", "However, identifying such personal disclosures is a challenging task due to their rarity in a sea of so...
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[ "As a more natural and intelligent interaction manner, multimodal task-oriented dialog system recently has received great attention and many remarkable progresses have been achieved.", "Nevertheless, almost all existing studies follow the pipeline to first learn intra-modal features separately and then conduct si...
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[ "Recent work in neural machine translation has demonstrated both the necessity and feasibility of using inter-sentential context context from sentences other than those currently being translated.", "However, while many current methods present model architectures that theoretically can use this extra context, it...
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[ "Towards building intelligent dialogue agents, there has been a growing interest in introducing explicit personas in generation models.", "However, with limited persona-based dialogue data at hand, it may be difficult to train a dialogue generation model well.", "We point out that the data challenges of this ge...
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[ "Linguistic probing of pretrained Transformer-based language models (LMs) revealed that they encode a range of syntactic and semantic properties of a language.", "However, they are still prone to fall back on superficial cues and simple heuristics to solve downstream tasks, rather than leverage deeper linguistic ...
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[ "In selective prediction, a classifier is allowed to abstain from making predictions on low-confidence examples.", "Though this setting is interesting and important, selective prediction has rarely been examined in natural language processing (NLP) tasks.", "To fill this void in the literature, we study in this...
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[ "Graph convolutional network (GCN) has become popular in various natural language processing (NLP) tasks with its superiority in long-term and non-consecutive word interactions.", "However, existing single-hop graph reasoning in GCN may miss some important nonconsecutive dependencies.", "In this study, we defin...
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[ "Current state-of-the-art NMT systems use large neural networks that are not only slow to train, but also often require many heuristics and optimization tricks, such as specialized learning rate schedules and large batch sizes.", "This is undesirable as it requires extensive hyperparameter tuning.", "In this pa...
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[ "UCLA Los Angeles, USA", "Anjie Fang Amazon.com, Inc.", "Seattle, WA, USA Oleg Rokhlenko Amazon.com, Inc.", "Seattle, WA, USA Shervin Malmasi Amazon.com, Inc.", "Seattle, WA, USA tmeng@cs.ucla.edu {njfn,olegro,malmasi}@amazon.com Abstract Named Entity Recognition (NER) remains difficult in real-world settin...
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[ "A core step in statistical data-to-text generation concerns learning correspondences between structured data representations (e.g., facts in a database) and associated texts.", "In this paper we aim to bootstrap generators from large scale datasets where the data (e.g., DBPedia facts) and related texts (e.g., Wi...
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[ "We present a direct speech-to-speech translation (S2ST) model that translates speech from one language to speech in another language without relying on intermediate text generation.", "We tackle the problem by first applying a self-supervised discrete speech encoder on the target speech and then training a seque...
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[ "We investigate grounded language learning through real-world data, by modelling a teacher-learner dynamics through the natural interactions occurring between users and search engines; in particular, we explore the emergence of semantic generalization from unsupervised dense representations outside of synthetic env...
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[ "Sequence labeling is a fundamental task for a range of natural language processing problems.", "When used in practice, its performance is largely influenced by the annotation quality and quantity, and meanwhile, obtaining ground truth labels is often costly.", "In many cases, ground truth labels do not exist, ...
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[ "Given the complexity of combinations of tasks, languages, and domains in natural language processing (NLP) research, it is computationally prohibitive to exhaustively test newly proposed models on each possible experimental setting.", "In this work, we attempt to explore the possibility of gaining plausible judg...
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[ "The capability to automatically detect human stress can benefit artificial intelligent agents involved in affective computing and human-computer interaction.", "Stress and emotion are both human affective states, and stress has proven to have important implications on the regulation and expression of emotion.", ...
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[ "In this paper, we propose a generalizable dialog generation approach that adapts multiturn reasoning , one recent advancement in the field of document comprehension, to generate responses (answers) by taking current conversation session context as a document and current query as a question.", "The major idea is ...
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[ "Semi-Supervised Text Classification (SSTC) mainly works under the spirit of self-training.", "They initialize the deep classifier by training over labeled texts; and then alternatively predict unlabeled texts as their pseudo-labels and train the deep classifier over the mixture of labeled and pseudo-labeled text...
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[ "Language models pretrained on text from a wide variety of sources form the foundation of today's NLP.", "In light of the success of these broad-coverage models, we investigate whether it is still helpful to tailor a pretrained model to the domain of a target task.", "We present a study across four domains (bio...
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[ "A language-independent representation of meaning is one of the most coveted dreams in Natural Language Understanding.", "With this goal in mind, several formalisms have been proposed as frameworks for meaning representation in Semantic Parsing.", "And yet, the dependencies these formalisms share with respect t...
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[ "Dialogue state tracker is responsible for inferring user intentions through dialogue history.", "Previous methods have difficulties in handling dialogues with long interaction context, due to the excessive information.", "We propose a Dialogue State Tracker with Slot Attention and Slot Information Sharing (SAS...
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[ "Self-attentive neural syntactic parsers using contextualized word embeddings (e.g. ELMo or BERT) currently produce state-of-the-art results in joint parsing and disfluency detection in speech transcripts.", "Since the contextualized word embeddings are pre-trained on a large amount of unlabeled data, using addit...
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[ "Automatic identification of spurious instances (those with potentially wrong labels in datasets) can improve the quality of existing language resources, especially when annotations are obtained through crowdsourcing or automatically generated based on coded rankings.", "In this paper, we present an effective app...
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[ "Transformer-based language models (LMs) pretrained on large text collections implicitly store a wealth of lexical semantic knowledge, but it is non-trivial to extract that knowledge effectively from their parameters.", "Inspired by prior work on semantic specialization of static word embedding (WE) models, we sh...
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[ "Existing software-based energy measurements of NLP models are not accurate because they do not consider the complex interactions between energy consumption and model execution.", "We present IrEne, an interpretable and extensible energy prediction system that accurately predicts the inference energy consumption ...
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[ "Recurrent neural network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence in a top-down, left-to-right order.", "Supervised RNNGs achieve strong language modeling and parsing performance, but require an annot...
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[ "The human mind is a dynamical system, yet many analysis techniques used to study it are limited in their ability to capture the complex dynamics that may characterize mental processes.", "This study proposes the continuous-time deconvolutional regressive neural network (CDRNN), a deep neural extension of continu...
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[ "Natural Language Generation (NLG) is a key component in a task-oriented dialogue system, which converts the structured meaning representation (MR) to the natural language.", "For large-scale conversational systems, where it is common to have over hundreds of intents and thousands of slots, neither template-based...
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[ "We present a content-based method for recommending citations in an academic paper draft.", "We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank the candidates using a discriminative model trained to distinguish between observed and unobserved citations.",...
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[ "Automatic image captioning has improved sig-nificantly over the last few years, but the problem is far from being solved, with state of the art models still often producing low quality captions when used in the wild.", "In this paper, we focus on the task of Quality Estimation (QE) for image captions, which atte...
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[ "In classic instruction following, language like I'd like the JetBlue flight maps to actions (e.g., selecting that flight).", "However, language also conveys information about a user's underlying reward function (e.g., a general preference for JetBlue), which can allow a model to carry out desirable actions in ne...
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[ "We propose a generative model of paraphrase generation, that encourages syntactic diversity by conditioning on an explicit syntactic sketch.", "We introduce Hierarchical Refinement Quantized Variational Autoencoders (HRQ-VAE), a method for learning decompositions of dense encodings as a sequence of discrete late...
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[ "Unsupervised machine translation, which utilizes unpaired monolingual corpora as training data, has achieved comparable performance against supervised machine translation.", "However, it still suffers from data-scarce domains.", "To address this issue, this paper presents a novel meta-learning algorithm for un...
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[ "Applying existing methods to emotional support conversationwhich provides valuable assistance to people who are in needhas two major limitations:", "(a) they generally employ a conversation-level emotion label, which is too coarse-grained to capture user's instant mental state;", "(b) most of them focus on exp...
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[ "Recent research investigates factual knowledge stored in large pretrained language models (PLMs).", "Instead of structural knowledge base (KB) queries, masked sentences such as Paris is the capital of [MASK] are used as probes.", "The good performance on this analysis task has been interpreted as PLMs becoming...
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[ "Neural module networks (NMNs) are a popular approach for modeling compositionality: they achieve high accuracy when applied to problems in language and vision, while reflect-ing the compositional structure of the problem in the network architecture.", "However, prior work implicitly assumed that the structure of...
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[ "Over the last few years, there has been a move towards data curation for multilingual task-oriented dialogue (ToD) systems that can serve people speaking different languages.", "However, existing multilingual ToD datasets either have a limited coverage of languages due to the high cost of data curation, or ignor...
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[ "We explore two solutions to the problem of mistranslating rare words in neural machine translation.", "First, we argue that the standard output layer, which computes the inner product of a vector representing the context with all possible output word embeddings, rewards frequent words disproportionately, and we ...
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[ "Understanding the functional (dis)-similarity of source code is significant for code modeling tasks such as software vulnerability and code clone detection.", "We present DISCO ( DISsimilarity of COde ), a novel self-supervised model focusing on identifying (dis)similar functionalities of source code.", "Diffe...
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[ "Metaphor is a linguistic device in which a concept is expressed by mentioning another.", "Identifying metaphorical expressions, therefore, requires a non-compositional understanding of semantics.", "Multiword Expressions (MWEs), on the other hand, are linguistic phenomena with varying degrees of semantic opaci...
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[ "Most existing research on visual question answering (VQA) is limited to information explicitly present in an image or a video.", "In this paper, we take visual understanding to a higher level where systems are challenged to answer questions that involve mentally simulating the hypothetical consequences of perfor...
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[ "Non-goal oriented dialog agents (i.e. chat-bots) aim to produce varying and engaging conversations with a user; however, they typically exhibit either inconsistent personality across conversations or the average personality of all users.", "This paper addresses these issues by controlling an agent's persona upon...
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[ "Transformer-based models have achieved state-of-the-art performance on short-input summarization.", "However, they still struggle with summarizing longer text.", "In this paper, we present DYLE , a novel dynamic latent extraction approach for abstractive long-input summarization.", "DYLE jointly trains an ex...
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[ "Multilingual sequence labeling is a task of predicting label sequences using a single unified model for multiple languages.", "Compared with relying on multiple monolingual models, using a multilingual model has the benefit of a smaller model size, easier in online serving, and generalizability to low-resource l...
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[ "Domain classification is the task of mapping spoken language utterances to one of the natural language understanding domains in intelligent personal digital assistants (IPDAs).", "This is a major component in mainstream IPDAs in industry.", "Apart from official domains, thousands of third-party domains are als...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "objective", "abstain", "abstain", "objectiv...
[ "We investigate what kind of structural knowledge learned in neural network encoders is transferable to processing natural language.", "We design artificial languages with structural properties that mimic natural language, pretrain encoders on the data, and see how much performance the encoder exhibits on downstr...
[ "objective", "result", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "method", "method", "result", "objective", "objective", "abstain", "abstain", "method", "objective", "result", "abstain", "method", "method", "result"...
[ "Deep reinforcement learning is a promising approach to training a dialog manager, but current methods struggle with the large state and action spaces of multi-domain dialog systems.", "Building upon Deep Q-learning from Demonstrations (DQfD), an algorithm that scores highly in difficult Atari games, we leverage ...
[ "abstain", "method", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "method", "method", "result", "abstain", "objective", "method", "method", "result", "result", "abstain", "...
[ "In the era of pre-trained language models, Transformers are the de facto choice of model architectures.", "While recent research has shown promise in entirely convolutional, or CNN, architectures, they have not been explored using the pre-train-fine-tune paradigm.", "In the context of language models, are conv...
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[ "There has been little work on modeling the morphological well-formedness (MWF) of derivatives, a problem judged to be complex and difficult in linguistics (Bauer, 2019).", "We present a graph auto-encoder that learns embeddings capturing information about the compatibility of affixes and stems in derivation.", ...
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[ "We propose a novel method for hierarchical entity classification that embraces ontological structure at both training and during prediction.", "At training, our novel multi-level learning-to-rank loss compares positive types against negative siblings according to the type tree.", "During prediction, we define ...
[ "objective", "objective", "method", "result", "abstain", "abstain", "other", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "other", "abstain", "other", "method", "other", "other", "objective", "other", "other", "o...
[ "Abstract AI technologies for Natural Languages have made tremendous progress recently.", "However, commensurate progress has not been made on Sign Languages, in particular, in recognizing signs as individual words or as complete sentences.", "We introduce OpenHands 1 , a library where we take four key ideas fr...
[ "abstain", "abstain", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "absta...
[ "A standard approach to evaluating language models analyzes how models assign probabilities to valid versus invalid syntactic constructions (i.e. is a grammatical sentence more probable than an ungrammatical sentence).", "Our work uses ambiguous relative clause attachment to extend such evaluations to cases of mu...
[ "abstain", "objective", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "objective", "method", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "ab...
[ "The retriever-reader framework is popular for open-domain question answering (ODQA) due to its ability to use explicit knowledge.", "Although prior work has sought to increase the knowledge coverage by incorporating structured knowledge beyond text, accessing heterogeneous knowledge sources through a unified int...
[ "abstain", "abstain", "abstain", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", ...
[ "Volatility prediction is complex due to the stock market's stochastic nature.", "Existing research focuses on the textual elements of financial disclosures like earnings calls transcripts to forecast stock volatility and risk, but ignores the rich acoustic features in the company executives' speech.", "Recentl...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "other", "other", "other",...
[ "A conventional approach to improving the performance of end-to-end speech translation (E2E-ST) models is to leverage the source transcription via pre-training and joint training with automatic speech recognition (ASR) and neural machine translation (NMT) tasks.", "However, since the input modalities are differen...
[ "abstain", "abstain", "method", "objective", "method", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "...
[ "Hierarchical text classification is an important yet challenging task due to the complex structure of the label hierarchy.", "Existing methods ignore the semantic relationship between text and labels, so they cannot make full use of the hierarchical information.", "To this end, we formulate the text-label sema...
[ "abstain", "abstain", "objective", "objective", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Predicting missing facts in a knowledge graph (KG) is crucial as modern KGs are far from complete.", "Due to labor-intensive human labeling, this phenomenon deteriorates when handling knowledge represented in various languages.", "In this paper, we explore multilingual KG completion, which leverages limited se...
[ "abstain", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "This work presents a new resource for borrowing identification and analyzes the performance and errors of several models on this task.", "We introduce a new annotated corpus of Spanish newswire rich in unassimilated lexical borrowingswords from one language that are introduced into another without orthographic a...
[ "objective", "objective", "abstain", "result", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "objective", "other", "other", "other", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "a...
[ "Prompt-based tuning for pre-trained language models (PLMs) has shown its effectiveness in few-shot learning.", "Typically, prompt-based tuning wraps the input text into a cloze question.", "To make predictions, the model maps the output words to labels via a verbalizer , which is either manually designed or au...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abs...
[ "One of the difficulties of neural machine translation (NMT) is the recall and appropriate translation of low-frequency words or phrases.", "In this paper, we propose a simple, fast, and effective method for recalling previously seen translation examples and incorporating them into the NMT decoding process.", "...
[ "abstain", "objective", "method", "method", "abstain", "result", "abstain", "abstain", "abstain", "other", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "res...
[ "Variational autoencoders (VAE) combined with hierarchical RNNs have emerged as a powerful framework for conversation modeling.", "However, they suffer from the notorious degeneration problem, where the decoders learn to ignore latent variables and reduce to vanilla RNNs.", "We empirically show that this degene...
[ "abstain", "abstain", "result", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "result", "abstain", "meth...
[ "Natural language allows us to refer to novel composite concepts by combining expressions denoting their parts according to systematic rules, a property known as compositionality .", "In this paper, we study whether the language emerging in deep multi-agent simulations possesses a similar ability to refer to nove...
[ "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", ...
[ "Not all documents are equally important.", "Language processing is increasingly finding use as a supplement for questionnaires to assess psychological attributes of consenting individuals, but most approaches neglect to consider whether all documents of an individual are equally informative.", "In this paper, ...
[ "abstain", "abstain", "objective", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "other", "abstain", "abstain", "method", "abstain", "objective", "objective", "objective", "objective", "objective", "abstain", "abstain...
[ "The goal of argumentation mining is to automatically extract argumentation structures from argumentative texts.", "Most existing methods determine argumentative relations by exhaustively enumerating all possible pairs of argument components, which suffer from low ef-ficiency and class imbalance.", "Moreover, d...
[ "abstain", "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method",...
[ "When collecting annotations and labeled data from humans, a standard practice is to use inter-rater reliability (IRR) as a measure of data goodness (Hallgren, 2012).", "Metrics such as Krippendorff's alpha or Cohen's kappa are typically required to be above a threshold of 0.6 (Landis and Koch, 1977).", "These ...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "other", "abstain", "abs...
[ "This paper presents the first unsupervised approach to lexical semantic change that makes use of contextualised word representations.", "We propose a novel method that exploits the BERT neural language model to obtain representations of word usages, clusters these representations into usage types, and measures c...
[ "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "other", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "other", "objective", "result", "objective", "objective", "other", "other",...
[ "Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell.", "In this paper, we extend the search space of NAS.", "In particular, we present a general approach to learn both intra-cell and inte...
[ "abstain", "objective", "method", "result", "method", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "Despite the success of language models using neural networks, it remains unclear to what extent neural models have the generalization ability to perform inferences.", "In this paper, we introduce a method for evaluating whether neural models can learn systematicity of monotonicity inference in natural language, ...
[ "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain",...
[ "Conventional wisdom in pruning Transformer-based language models is that pruning reduces the model expressiveness and thus is more likely to underfit rather than overfit.", "However, under the trending pretrain-and-finetune paradigm, we postulate a counter-traditional hypothesis, that is: pruning increases the r...
[ "abstain", "method", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "result", "method", "abstain", "absta...
[ "Copy module has been widely equipped in the recent abstractive summarization models, which facilitates the decoder to extract words from the source into the summary.", "Generally, the encoder-decoder attention is served as the copy distribution, while how to guarantee that important words in the source are copie...
[ "abstain", "abstain", "objective", "method", "method", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "other", "abstain", "abstain", "abstain", "result", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "metho...
[ "Text simplification reduces the language complexity of professional content for accessibility purposes.", "End-to-end neural network models have been widely adopted to directly generate the simplified version of input text, usually functioning as a blackbox.", "We show that text simplification can be decompose...
[ "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objec...
[ "Semantic parsing is challenging due to the structure gap and the semantic gap between utterances and logical forms.", "In this paper, we propose an unsupervised semantic parsing method Synchronous Semantic Decoding (SSD), which can simultaneously resolve the semantic gap and the structure gap by jointly leverag...
[ "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "method", "me...
[ "This paper presents a new corpus and a robust deep learning architecture for a task in reading comprehension, passage completion, on multiparty dialog.", "Given a dialog in text and a passage containing factual descriptions about the dialog where mentions of the characters are replaced by blanks, the task is to ...
[ "objective", "abstain", "result", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "result", "result", "objective", "other", "other", "other", "other", "other", ...
[ "In common law, the outcome of a new case is determined mostly by precedent cases, rather than by existing statutes.", "However, how exactly does the precedent influence the outcome of a new case?", "Answering this question is crucial for guaranteeing fair and consistent judicial decision-making.", "We are th...
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[ "In order to better understand the rationale behind model behavior, recent works have exploited providing interpretation to support the inference prediction.", "However, existing methods tend to provide human-unfriendly interpretation, and are prone to sub-optimal performance due to one-side promotion, i.e. eithe...
[ "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "result", "objective", ...
[ "Residual networks are an Euler discretization of solutions to Ordinary Differential Equations (ODE).", "This paper explores a deeper relationship between Transformer and numerical ODE methods.", "We first show that a residual block of layers in Transformer can be described as a higher-order solution to ODE.", ...
[ "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Leonardo Rocha 2 , Marcos Andre Goncalves 1 1 Universidade Federal de Minas Gerais Brazil 2 Universidade Federal de Sao Joao del Rei Brazil { frviegas, washingtoncunha } @dcc.ufmg.br { christianreis, mgoncalv } @dcc.ufmg.br { antoniopereira, lcrocha } @ufsj.edu.br", "Abstract Hierarchical Topic modeling (HTM) ex...
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[ "One of the main bottlenecks in developing discourse dependency parsers is the lack of annotated training data.", "A potential solution is to utilize abundant unlabeled data by using unsupervised techniques, but there is so far little research in unsupervised discourse dependency parsing.", "Fortunately, unsupe...
[ "abstain", "abstain", "abstain", "objective", "method", "objective", "objective", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "...
[ "In many natural language processing (NLP) tasks the same input (e.g. source sentence) can have multiple possible outputs (e.g. transla-tions).", "To analyze how this ambiguity (also known as intrinsic uncertainty ) shapes the distribution learned by neural sequence models we measure sentence-level uncertainty by...
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[ "Lexica distinguishing all morphologically related forms of each lexeme are crucial to many language technologies, yet building them is expensive.", "We propose Frugal Paradigm Completion , an approach that predicts all related forms in a morphological paradigm from as few manually provided forms as possible.", ...
[ "abstain", "objective", "abstain", "method", "method", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "...
[ "The current state-of-the-art model HiAGM for hierarchical text classification has two limitations.", "First, it correlates each text sample with all labels in the dataset which contains irrelevant information.", "Second, it does not consider any statistical constraint on the label representations learned by th...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "objective", "abs...
[ "While significant progress has been made on the task of Legal Judgment Prediction (LJP) in recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to their failure to (1) locate the key event information that determines the judgment, and (2) exploit the cross-task consistency cons...
[ "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "method", "abstain", "objective", "method", "abstain", "method", "abstain", "absta...
[ "This paper is concerned with semantic parsing for English as a second language (ESL).", "Motivated by the theoretical emphasis on the learning challenges that occur at the syntax-semantics interface during second language acquisition, we formulate the task based on the divergence between literal and intended mea...
[ "abstain", "objective", "objective", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "abstain", "objective", "abstain", "objectiv...
[ "Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem.", "We propose to represent such summaries as a small set of talking points, termed key points , each scored according to its salience.", "We show, by analyzing a large dataset of crowd-...
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[ "One great challenge in neural sequence labeling is the data sparsity problem for rare entity words and phrases.", "Most of test set entities appear only few times and are even unseen in training corpus, yielding large number of out-of-vocabulary (OOV) and low-frequency (LF) entities during evaluation.", "In th...
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[ "Previous research shows that eye-tracking data contains information about the lexical and syntactic properties of text, which can be used to improve natural language processing models.", "In this work, we leverage eye movement features from three corpora with recorded gaze information to augment a state-of-the-a...
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[ "Despite recent progress in abstractive summarization, systems still suffer from faithfulness errors.", "While prior work has proposed models that improve faithfulness, it is unclear whether the improvement comes from an increased level of extractiveness of the model outputs as one naive way to improve faithfulne...
[ "abstain", "abstain", "method", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "objective", "objective", "method", "objective", "result", ...
[ "Interpretability or explainability is an emerging research field in NLP .", "From a user-centric point of view, the goal is to build models that provide proper justification for their decisions, similar to those of humans, by requiring the models to satisfy additional constraints.", "To this end, we introduce ...
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[ "Social media is a breeding ground for threat narratives and related conspiracy theories.", "In these, an outside group threatens the integrity of an inside group, leading to the emergence of sharply defined group identities: Insider s agents with whom the authors identify and Outsider s agents who threaten the...
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[ "Clinical notes are text documents that are created by clinicians for each patient encounter.", "They are typically accompanied by medical codes, which describe the diagnosis and treatment.", "Annotating these codes is labor intensive and error prone; furthermore, the connection between the codes and the text i...
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[ "The performance of Part-of-Speech tagging varies significantly across the treebanks of the Universal Dependencies project.", "This work points out that these variations may result from divergences between the annotation of train and test sets.", "We show how the annotation variation principle, introduced by Di...
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[ "In this paper, we investigate the use of discourse-aware rewards with reinforcement learning to guide a model to generate long, coherent text.", "In particular, we propose to learn neural rewards to model cross-sentence ordering as a means to approximate desired discourse structure.", "Empirical results demons...
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[ "Recent neural network-driven semantic role labeling (SRL) systems have shown impressive improvements in F1 scores.", "These improvements are due to expressive input representations, which, at least at the surface, are orthogonal to knowledge-rich constrained decoding mechanisms that helped linear SRL models.", ...
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[ "Sequential information, a.k.a., orders, is assumed to be essential for processing a sequence with recurrent neural network or convolutional neural network based encoders.", "However, is it possible to encode natural languages without orders?", "Given a bag of words from a disordered sentence, humans may still ...
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[ "Thanks to the effectiveness and wide availability of modern pretrained language models (PLMs), recently proposed approaches have achieved remarkable results in dependency-and span-based, multilingual and cross-lingual Semantic Role Labeling (SRL).", "These results have prompted researchers to investigate the inn...
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[ "Although measuring held-out accuracy has been the primary approach to evaluate generalization, it often overestimates the performance of NLP models, while alternative approaches for evaluating models either focus on individual tasks or on specific behaviors.", "Inspired by principles of behavioral testing in sof...
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[ "To bridge the gap between the capabilities of the state-of-the-art in factoid question answering (QA) and what users ask, we need large datasets of real user questions that capture the various question phenomena users are interested in, and the diverse ways in which these questions are formulated.", "We introduc...
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[ "We propose a new type of representation learning method that models words, phrases and sentences seamlessly.", "Our method does not depend on word segmentation and any human-annotated resources (e.g., word dictionaries), yet it is very effective for noisy corpora written in unsegmented languages such as Chinese ...
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[ "In this paper, we present a neural model for joint dropped pronoun recovery (DPR) and conversational discourse parsing (CDP) in Chinese conversational speech.", "We show that DPR and CDP are closely related, and a joint model benefits both tasks.", "We refer to our model as DiscProReco, and it first encodes th...
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