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"Opinion role labeling (ORL) is a fine-grained opinion analysis task and aims to answer who expressed what kind of sentiment towards what? .",
"Due to the scarcity of labeled data, ORL remains challenging for data-driven methods.",
"In this work, we try to enhance neural ORL models with syntactic knowledge by ... | [
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"Abstract Meaning Representation parsing is a sentence-to-graph prediction task where target nodes are not explicitly aligned to sentence tokens.",
"However, since graph nodes are semantically based on one or more sentence tokens, implicit alignments can be derived.",
"Transition-based parsers operate over the ... | [
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"Advances in variational inference enable pa-rameterisation of probabilistic models by deep neural networks.",
"This combines the statistical transparency of the probabilistic modelling framework with the representational power of deep learning.",
"Yet, due to a problem known as posterior collapse , it is diffi... | [
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"Questions of fairness, robustness, and transparency are paramount to address before deploying NLP systems.",
"Central to these concerns is the question of reliability: Can NLP systems reliably treat different demographics fairly and function correctly in diverse and noisy environments?",
"To address this, we a... | [
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"Sequence tagging models for constituent parsing are faster, but less accurate than other types of parsers.",
"In this work, we address the following weaknesses of such constituent parsers:",
"(a) high error rates around closing brackets of long constituents,",
"(b) large label sets, leading to sparsity, and"... | [
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"Large-scale pretrained language models are surprisingly good at recalling factual knowledge presented in the training corpus (Petroni et al., 2019; Jiang et al., 2020b).",
"In this paper, we present preliminary studies on how factual knowledge is stored in pretrained Transformers by introducing the concept of kn... | [
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"To effectively characterize the nature of paraphrase pairs without expert human annotation, we propose two new metrics: word position deviation (WPD) and lexical deviation (LD).",
"WPD measures the degree of structural alteration, while LD measures the difference in vocabulary used.",
"We apply these metrics t... | [
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"Ruochen Zhang and Carsten Eickhoff Brown University",
"Abstract In the pursuit of natural language understanding, there has been a long standing interest in tracking state changes throughout narratives.",
"Impressive progress has been made in modeling the state of transaction-centric dialogues and procedural t... | [
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"Typed entailment graphs try to learn the entailment relations between predicates from text and model them as edges between predicate nodes.",
"The construction of entailment graphs usually suffers from severe sparsity and unreliability of distributional similarity.",
"We propose a two-stage method, Entailment ... | [
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"Sequence-to-sequence models for abstractive summarization have been studied extensively, yet the generated summaries commonly suffer from fabricated content, and are often found to be near-extractive.",
"We argue that, to address these issues, the summarizer should acquire semantic interpretation over input, e.g... | [
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"The problem of comparing two bodies of text and searching for words that differ in their usage between them arises often in digital humanities and computational social science.",
"This is commonly approached by training word embeddings on each corpus, aligning the vector spaces, and looking for words whose cosin... | [
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"In the deep learning (DL) era, parsing models are extremely simplified with little hurt on performance, thanks to the remarkable capability of multi-layer BiLSTMs in context representation.",
"As the most popular graph-based dependency parser due to its high efficiency and performance, the biaffine parser direct... | [
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"We address the detection of abusive words.",
"The task is to identify such words among a set of negative polar expressions.",
"We propose novel features employing information from both corpora and lexical resources.",
"These features are calibrated on a small manually annotated base lexicon which we use to p... | [
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"For many structured learning tasks, the data annotation process is complex and costly.",
"Existing annotation schemes usually aim at acquiring completely annotated structures, under the common perception that partial structures are of low quality and could hurt the learning process.",
"This paper questions thi... | [
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"Multi-head attention is appealing for its ability to jointly extract different types of information from multiple representation subspaces.",
"Concerning the information aggregation, a common practice is to use a concatenation followed by a linear transformation, which may not fully exploit the expressiveness of... | [
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"While automated essay scoring (AES) can reliably grade essays at scale, automated writing evaluation (AWE) additionally provides formative feedback to guide essay revision.",
"However, a neural AES typically does not provide useful feature representations for supporting AWE.",
"This paper presents a method for... | [
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"We study learning from user feedback for extractive question answering by simulating feedback using supervised data.",
"We cast the problem as contextual bandit learning, and analyze the characteristics of several learning scenarios with focus on reducing data annotation.",
"We show that systems initially trai... | [
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"In the automatic evaluation of generative question answering (GenQA) systems, it is difficult to assess the correctness of generated answers due to the free-form of the answer.",
"Especially, widely used n-gram similarity metrics often fail to discriminate the incorrect answers since they equally consider all of... | [
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"We introduce a new language representation model called BERT , which stands for B idirectional E ncoder R epresentations from T ransformers.",
"Unlike recent language representation models (Peters et al., 2018a; Radford et al., 2018), BERT is designed to pretrain deep bidirectional representations from unlabeled... | [
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"Visual referring expression recognition is a challenging task that requires natural language understanding in the context of an image.",
"We critically examine RefCOCOg , a standard benchmark for this task, using a human study and show that 83.7% of test instances do not require reasoning on linguistic structure... | [
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"The aspect-based sentiment analysis (ABSA) consists of two conceptual tasks, namely an aspect extraction and an aspect sentiment classification.",
"Rather than considering the tasks separately, we build an end-to-end ABSA solution.",
"Previous works in ABSA tasks did not fully leverage the importance of syntac... | [
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"The need for tree structure modelling on top of sequence modelling is an open issue in neural dependency parsing.",
"We investigate the impact of adding a tree layer on top of a sequential model by recursively composing subtree representations (composition) in a transition-based parser that uses features extract... | [
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"Clustering short text streams is a challenging task due to its unique properties: infinite length, sparse data representation and cluster evolution.",
"Existing approaches often exploit short text streams in a batch way.",
"However, determine the optimal batch size is usually a difficult task since we have no ... | [
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"We propose several ways of reusing subword embeddings and other weights in subword-aware neural language models.",
"The proposed techniques do not benefit a competitive character-aware model, but some of them improve the performance of syllableand morpheme-aware models while showing significant reductions in mod... | [
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"Abuse on the Internet represents a significant societal problem of our time.",
"Previous research on automated abusive language detection in Twitter has shown that community-based profiling of users is a promising technique for this task.",
"However, existing approaches only capture shallow properties of onlin... | [
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"Neural encoder-decoder models have been successful in natural language generation tasks.",
"However, real applications of abstractive summarization must consider additional constraint that a generated summary should not exceed a desired length.",
"In this paper, we propose a simple but effective extension of a... | [
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"Fine-tuning is the de facto way of leveraging large pretrained language models for downstream tasks.",
"However, fine-tuning modifies all the language model parameters and therefore necessitates storing a full copy for each task.",
"In this paper, we propose prefix-tuning, a lightweight alternative to fine-tun... | [
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"The ability to control for the kinds of information encoded in neural representation has a variety of use cases, especially in light of the challenge of interpreting these models.",
"We present Iterative Null-space Projection (INLP), a novel method for removing information from neural representations.",
"Our m... | [
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"We introduce DynaSent (Dynamic Senti-ment'), a new English-language benchmark task for ternary (positive/negative/neutral) sentiment analysis.",
"DynaSent combines naturally occurring sentences with sentences created using the open-source Dynabench Platform, which facilities human-and-model-in-the-loop dataset c... | [
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"Conditional text generation often requires lexical constraints, i.e., which words should or shouldn't be included in the output text.",
"While the dominant recipe for conditional text generation has been large-scale pretrained language models that are finetuned on the task-specific training data, such models do ... | [
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"In this paper, we present a new data set, named FreebaseQA , for open-domain factoid question answering (QA) tasks over structured knowledge bases, like Freebase.",
"The data set is generated by matching trivia-type question-answer pairs with subject-predicate-object triples in Freebase.",
"For each collected ... | [
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"Neural machine translation (NMT) encodes the source sentence in a universal way to generate the target sentence word-by-word.",
"However, NMT does not consider the importance of word in the sentence meaning, for example, some words (i.e., content words) express more important meaning than others (i.e., function ... | [
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"In a corpus of data, outliers are either errors : mistakes in the data that are counterproductive, or are unique : informative samples that improve model robustness.",
"Identifying outliers can lead to better datasets by (1) removing noise in datasets and (2) guiding collection of additional data to fill gaps.",... | [
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"Neural machine translation requires large amounts of parallel training text to learn a reasonable-quality translation model.",
"This is particularly inconvenient for language pairs for which enough parallel text is not available.",
"In this paper, we use monolingual linguistic resources in the source side to a... | [
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"Is there a principle to guide transfer learning across tasks in natural language processing (NLP)?",
"Taxonomy (Zamir et al., 2018) finds that a structure exists among visual tasks, as a principle underlying transfer learning for them.",
"In this paper, we propose a cognitively inspired framework, CogTaskonomy... | [
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"Users participate in online discussion forums to learn from others and share their knowledge with the community.",
"They often start a thread with a question or by sharing their new findings on a certain topic.",
"Unlike in Community Question Answering, where questions are mostly factoid based, we find that th... | [
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"Structured pruning has been extensively studied on monolingual pre-trained language models and is yet to be fully evaluated on their multilingual counterparts.",
"This work investigates three aspects of structured pruning on multilingual pre-trained language models: settings, algorithms, and efficiency.",
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"Robert Wolfe University of Washington rwolfe3@uw.edu",
"Aylin Caliskan University of Washington aylin@uw.edu",
"Abstract We examine the effects of contrastive visual semantic pretraining by comparing the geometry and semantic properties of contextualized English language representations formed by GPT-2 and CLI... | [
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"An important risk that children face today is online grooming , where a so-called sexual predator establishes an emotional connection with a minor online with the objective of sexual abuse.",
"Prior work has sought to automatically identify grooming chats, but only after an incidence has already happened in the ... | [
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"Position encoding (PE), an essential part of self-attention networks (SANs), is used to preserve the word order information for natural language processing tasks, generating fixed position indices for input sequences.",
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"Universal Semantic Tagging aims to provide lightweight unified analysis for all languages at the word level.",
"Though the proposed annotation scheme is conceptually promising, the feasibility is only examined in four Indo European languages.",
"This paper is concerned with extending the annotation scheme to h... | [
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"Text classification models are becoming increasingly complex and opaque, however for many applications it is essential that the models are interpretable.",
"Recently, a variety of approaches have been proposed for generating local explanations.",
"While robust evaluations are needed to drive further progress, ... | [
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"The main barrier to progress in the task of Formality Style Transfer is the inadequacy of training data.",
"In this paper, we study how to augment parallel data and propose novel and simple data augmentation methods for this task to obtain useful sentence pairs with easily accessible models and systems.",
"Exp... | [
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"An enormous amount of conversation occurs online every day, such as on chat platforms where multiple conversations may take place concurrently.",
"Interleaved conversations lead to difficulties in not only following discussions but also retrieving relevant information from simultaneous messages.",
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"Thus it makes a lot of sense to make use of unlabelled unimodal data.",
"On the other side, although t... | [
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"Meaning conflation deficiency is one of the main limiting factors of word representations which, given their widespread use at the core of many NLP systems, can lead to inaccurate semantic understanding of the input text and inevitably hamper the performance.",
"Sense representations target this problem.",
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"Knowledge-grounded conversation (KGC) shows great potential in building an engaging and knowledgeable chatbot, and knowledge selection is a key ingredient in it.",
"However, previous methods for knowledge selection only concentrate on the relevance between knowledge and dialogue context, ignoring the fact that a... | [
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"Such NMT systems better translate human-produced translations, i.e., translationese, but may largely worsen the translation quality of ori... | [
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"Natural language processing (NLP) applications are now more powerful and ubiquitous than ever before.",
"With rapidly developing (neural) models and ever-more available data, current NLP models have access to more information than any human speaker during their life.",
"Still, it would be hard to argue that NL... | [
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"Recent advancements in neural language modelling make it possible to rapidly generate vast amounts of human-sounding text.",
"The capabilities of humans and automatic discriminators to detect machine-generated text have been a large source of research interest, but humans and machines rely on different cues to m... | [
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"Zero pronoun recovery and resolution aim at recovering the dropped pronoun and pointing out its anaphoric mentions, respectively.",
"We propose to better explore their interaction by solving both tasks together, while the previous work treats them separately.",
"For zero pronoun resolution, we study this task ... | [
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"To this end, we introduce a novel embedding model, named R-MeN, that explores a relational memory network to encode potential dependen... | [
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"Implicit Event Argument Extraction seeks to identify arguments that play direct or implicit roles in a given event.",
"However, most prior works focus on capturing direct relations between arguments and the event trigger.",
"The lack of reasoning ability brings many challenges to the extraction of implicit arg... | [
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"However, the model needs additional cost to produce and consider such global information.",
"In this work, to inject global information but also sa... | [
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"By formulating posterior inference through Gibbs sampling as a process of language transfer, we propose a new measure that quantifies the loss of knowledge across languages during this process.",
"This measure enable... | [
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"The new type of graph-based meaning representation allows us to include analysis for scope-related phenomena, such as quantification, negation and modality, in a way that is consistent with th... | [
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"Recent advances in open-domain QA have led to strong models based on dense retrieval, but only focused on retrieving textual passages.",
"In this work, we tackle open-domain QA over tables for the first time, and show that retrieval can be improved by a retriever designed to handle tabular context.",
"We prese... | [
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"This research gap is due, in part, to the lack of standardized datasets for summarizing online discussions.",
"To address this g... | [
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"One of the big challenges with this task is the lack of sufficient annotated data.",
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"Recent work in Natural Language Processing has focused on developing approaches that extract faithful explanations, either via identifying the most important tokens in the input (i.e. post-hoc explanations) or by designing inherently faithful models that first select the most important tokens and then use them to ... | [
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"We consider a task based on CVPR 2018 challenge dataset on advertisement (Ad) understanding.",
"The task involves detecting the viewer's interpretation of an Ad image captured as text.",
"Recent results have shown that the embedded scene-text in the image holds a vital cue for this task.",
"Motivated by this... | [
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"Previous work on review summarization focused on measuring the sentiment toward the main aspects of the reviewed product or business, or on creating a textual summary.",
"These approaches provide only a partial view of the data: aspect-based sentiment summaries lack sufficient explanation or justification for th... | [
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"We focus on improving name tagging for low-resource languages using annotations from related languages.",
"Previous studies either directly project annotations from a source language to a target language using cross-lingual representations or use a shared encoder in a multitask network to transfer knowledge.",
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"Monolingual word alignment is important for studying fine-grained editing operations (i.e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphrase generation, text simplification, neutralizing biased language, etc.",
"In this paper, we present a novel neural semi-Markov CRF al... | [
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"Translating text into a language unknown to the text's author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility.",
"We demonstrate this by showing three ways in which user confidence in the outbound tra... | [
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"We rely on arguments in our daily lives to deliver our opinions and base them on evidence, making them more convincing in turn.",
"However, finding and formulating arguments can be challenging.",
"In this work, we present the Arg-CTRL a language model for argument generation that can be controlled to generate ... | [
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"Recent research in multilingual language models (LM) has demonstrated their ability to effectively handle multiple languages in a single model.",
"This holds promise for low web-resource languages (LRL) as multilingual models can enable transfer of supervision from high resource languages to LRLs.",
"However, ... | [
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"In goal-oriented dialogue systems, users provide information through slot values to achieve specific goals.",
"Practically, some combinations of slot values can be invalid according to external knowledge.",
"For example, a combination of cheese pizza (a menu item) and oreo cook-ies (a topping) from an input ut... | [
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[
"Probing neural models for the ability to perform downstream tasks using their activation patterns is often used to localize what parts of the network specialize in performing what tasks.",
"However, little work addressed potential mediating factors in such comparisons.",
"As a test-case mediating factor, we co... | [
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[
"This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence.",
"This extends the well-studied task of fact verification by providing a mechanism to correct written texts that are refuted or only partially supported by evide... | [
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[
"While idiosyncrasies of the Chinese classifier system have been a richly studied topic among linguists (Adams and Conklin, 1973; Erbaugh, 1986; Lakoff, 1986), not much work has been done to quantify them with statistical methods.",
"In this paper, we introduce an information-theoretic approach to measuring idios... | [
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[
"We study the interpretability issue of task-oriented dialogue systems in this paper.",
"Previously, most neural-based task-oriented dialogue systems employ an implicit reasoning strategy that makes the model predictions uninterpretable to humans.",
"To obtain a transparent reasoning process, we introduce neuro... | [
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[
"Open Domain dialog system evaluation is one of the most important challenges in dialog research.",
"Existing automatic evaluation metrics, such as BLEU are mostly reference-based.",
"They calculate the difference between the generated response and a limited number of available references.",
"Likert-score bas... | [
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[
"Recently, parallel text generation has received widespread attention due to its success in generation efficiency.",
"Although many advanced techniques are proposed to improve its generation quality, they still need the help of an autoregressive model for training to overcome the one-to-many multi-modal phenomeno... | [
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[
"Studies in Social Sciences have revealed that when people evaluate someone else, their evaluations often reflect their biases.",
"As a result, rater bias may introduce highly subjective factors that make their evaluations inaccurate.",
"This may affect automated essay scoring models in many ways, as these mode... | [
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[
"Jonathan May Information Sciences Institute University of Southern California jonmay@isi.edu",
"Kevin Knight Information Sciences Institute University of Southern California knight@isi.edu",
"Abstract",
"We investigate the computational complexity of various problems for simple recurrent neural networks (RNN... | [
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[
"Sequence-to-sequence neural networks have recently achieved great success in abstractive summarization, especially through fine-tuning large pre-trained language models on the downstream dataset.",
"These models are typically decoded with beam search to generate a unique summary.",
"However, the search space i... | [
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[
"Millions of conversations are generated every day on social media platforms.",
"With limited attention, it is challenging for users to select which discussions they would like to participate in.",
"Here we propose a new method for microblog conversation recommendation.",
"While much prior work has focused on... | [
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[
"In this paper, we formulate the personalized news headline generation problem whose goal is to output a user-specific title based on both a user's reading interests and a candidate news body to be exposed to her.",
"To build up a benchmark for this problem, we publicize a large-scale dataset named PENS (PErsonal... | [
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"We propose an alternate approach to quantifying how well language models learn natural language: we ask how well they match the statistical tendencies of natural language.",
"To answer this question, we analyze whether text generated from language models exhibits the statistical tendencies present in the human-g... | [
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[
"The IMPRESSIONS section of a radiology report about an imaging study is a summary of the radiologist's reasoning and conclusions, and it also aids the referring physician in con-firming or excluding certain diagnoses.",
"A cascade of tasks are required to automatically generate an abstractive summary of the typi... | [
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[
"Arguing without committing a fallacy is one of the main requirements of an ideal debate.",
"But even when debating rules are strictly enforced and fallacious arguments punished, arguers often lapse into attacking the opponent by an ad hominem argument.",
"As existing research lacks solid empirical investigatio... | [
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"We present a reading comprehension challenge in which questions can only be answered by taking into account information from multiple sentences.",
"We solicit and verify questions and answers for this challenge through a 4-step crowdsourcing experiment.",
"Our challenge dataset contains 6 k questions for +800... | [
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[
"We study the problem of building text classi-fiers with little or no training data, commonly known as zero and few-shot text classification.",
"In recent years, an approach based on neural textual entailment models has been found to give strong results on a diverse range of tasks.",
"In this work, we show that... | [
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[
"Visual Dialog is a multimodal task of answering a sequence of questions grounded in an image (using the conversation history as context).",
"It entails challenges in vision, language, reasoning, and grounding.",
"However, studying these subtasks in isolation on large, real datasets is infeasible as it requires... | [
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[
"Variational autoencoders (VAEs) are widely used for latent variable modeling of text.",
"We focus on variations that learn expressive prior distributions over the latent variable.",
"We find that existing training strategies are not effective for learning rich priors, so we add the importance-sampled log margi... | [
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[
"As a crucial step in extractive document summarization, learning cross-sentence relations has been explored by a plethora of approaches.",
"An intuitive way is to put them in the graph-based neural network, which has a more complex structure for capturing inter-sentence relationships.",
"In this paper, we pres... | [
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[
"Aspect-based sentiment classification is a popular task aimed at identifying the corresponding emotion of a specific aspect.",
"One sentence may contain various sentiments for different aspects.",
"Many sophisticated methods such as attention mechanism and Convolutional Neural Networks (CNN) have been widely e... | [
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[
"Grapheme to phoneme (G2P) conversion is an integral part in various text and speech processing systems, such as: Text to Speech system, Speech Recognition system, etc.",
"The existing methodologies for G2P conversion in Bangla language are mostly rule-based.",
"However, data-driven approaches have proved their... | [
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