Datasets:
scim
/
naacl_data_prog

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list
[ "Most Chinese pre-trained models take character as the basic unit and learn representation according to character's external contexts, ignoring the semantics expressed in the word, which is the smallest meaningful utterance in Chinese.", "Hence, we propose a novel word-aligned attention to exploit explicit word i...
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[ "While sophisticated Visual Question Answering models have achieved remarkable success, they tend to answer questions only according to superficial correlations between question and answer.", "Several recent approaches have been developed to address this language priors problem.", "However, most of them predict...
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[ "The Universal Trigger ( UniTrigger ) is a recently-proposed powerful adversarial textual attack method.", "Utilizing a learning-based mechanism, UniTrigger generates a fixed phrase that, when added to any benign inputs, can drop the prediction accuracy of a textual neural network (NN) model to near zero on a tar...
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[ "We introduce a large-scale dataset of math word problems and an interpretable neural math problem solver that learns to map problems to operation programs.", "Due to annotation challenges, current datasets in this domain have been either relatively small in scale or did not offer precise operational annotations ...
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[ "A prevailing paradigm in neural text generation is one-shot generation, where text is produced in a single step.", "The one-shot setting is inadequate, however, when the constraints the user wishes to impose on the generated text are dynamic, especially when authoring longer documents.", "We address this limit...
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[ "Interpretability is an important aspect of the trustworthiness of a model's predictions.", "Transformer's predictions are widely explained by the attention weights, i.e., a probability distribution generated at its self-attention unit (head).", "Current empirical studies provide shreds of evidence that attenti...
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[ "Abstractive summarization, the task of generating a concise summary of input documents, requires: (1) reasoning over the source document to determine the salient pieces of information scattered across the long document, and (2) composing a cohesive text by reconstructing these salient facts into a shorter summary ...
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[ "Constituent parsing has been studied extensively in the last decades.", "Chomsky-Schutzenberger parsing as an approach to constituent parsing has only been investigated theoretically, yet.", "It uses the decomposition of a language into a regular language, a homomorphism, and a bracket language to divide the p...
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[ "Transformer language models have shown remarkable ability in detecting when a word is anomalous in context, but likelihood scores offer no information about the cause of the anomaly.", "In this work, we use Gaussian models for density estimation at intermediate layers of three language models (BERT, RoBERTa, and...
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[ "Existing pre-trained transformer analysis works usually focus only on one or two model families at a time, overlooking the variability of the architecture and pre-training objectives.", "In our work, we utilize the oLMpics benchmark and psycholinguistic probing datasets for a diverse set of 29 models including T...
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[ "Recently, relation classification has gained much success by exploiting deep neural networks.", "In this paper, we propose a new model effectively combining Segment-level Attention-based Convolutional Neural Networks (SACNNs) and Dependency-based Recurrent Neural Networks (DepRNNs).", "While SACNNs allow the m...
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[ "Neural dialogue generation models trained with the one-hot target distribution suffer from the over-confidence issue, which leads to poor generation diversity as widely reported in the literature.", "Although existing approaches such as label smoothing can alleviate this issue, they fail to adapt to diverse dial...
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[ "In this paper, we explore the ability to model and infer personality types of opponents, predict their responses, and use this information to adapt a dialog agent's high-level strategy in negotiation tasks.", "Inspired by the idea of incorporating a theory of mind (ToM) into machines, we introduce a probabilisti...
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[ "Machine learning solutions are often criticized for the lack of explanation of their successes and failures.", "Understanding which instances are misclassified and why is essential to improve the learning process.", "This work helps to fill this gap by proposing a methodology to characterize, quantify and meas...
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[ "Relational triple extraction is a crucial task for knowledge graph construction.", "Existing methods mainly focused on explicit relational triples that are directly expressed, but usually suffer from ignoring implicit triples that lack explicit expressions.", "This will lead to serious incompleteness of the co...
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[ "Distant supervision for relation extraction provides uniform bag labels for each sentence inside the bag, while accurate sentence labels are important for downstream applications that need the exact relation type.", "Directly using bag labels for sentence-level training will introduce much noise, thus severely d...
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[ "Domain classification is the fundamental task in natural language understanding (NLU), which often requires fast accommodation to new emerging domains.", "This constraint makes it impossible to retrain all previous domains, even if they are accessible to the new model.", "Most existing continual learning appro...
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[ "Recent research has demonstrated that goal-oriented dialogue agents trained on large datasets can achieve striking performance when interacting with human users.", "In real world applications, however, it is important to ensure that the agent performs smoothly interacting with not only regular users but also tho...
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[ "We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain.", "Samples are grouped by their similarities to the domain of interest and each group is fed to the training algorithm with a particular schedule.", "This approach is simple to implement on top ...
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[ "Abstract Grounding natural language instructions on the web to perform previously unseen tasks enables accessibility and automation.", "We introduce a task and dataset to train AI agents from open-domain, step-by-step instructions originally written for people.", "We build RUSS (Rapid Universal Support Service...
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[ "This paper proposes a novel document representation, called Multi-Resolution Representation (MulR), to improve the early detection of risks in social media sources.", "The goal is to effectively identify the potential risk using as little evidence as possible and with as much anticipation as possible.", "MulR ...
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[ "Evaluation of cross-lingual encoders is usually performed either via zero-shot cross-lingual transfer in supervised downstream tasks or via unsupervised cross-lingual textual similarity.", "In this paper, we concern ourselves with reference-free machine translation (MT) evaluation where we directly compare sourc...
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[ "Abstract Meaning Representation (AMR) parsing aims at abstracting away from the syntactic realization of a sentence, and denoting only its meaning in a canonical form.", "As such, it is ideal for paraphrase detection, a problem in which one is required to specify whether two sentences have the same meaning.", ...
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[ "Existing work on probing of pretrained language models (LMs) has predominantly focused on sentence-level syntactic tasks.", "In this paper, we introduce document-level discourse probing to evaluate the ability of pretrained LMs to capture document-level relations.", "We experiment with 7 pretrained LMs, 4 lang...
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[ "Neural Machine Translation (NMT) currently exhibits biases such as producing translations that are too short and overgenerating frequent words, and shows poor robustness to copy noise in training data or domain shift.", "Recent work has tied these shortcomings to beam search the de facto standard inference algo...
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[ "Recent QA with logical reasoning questions requires passage-level relations among the sentences.", "However, current approaches still focus on sentence-level relations interacting among tokens.", "In this work, we explore aggregating passage-level clues for solving logical reasoning QA by using discourse-based...
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[ "We demonstrate that transformers obtain impressive performance even when some of the layers are randomly initialized and never updated.", "Inspired by old and well-established ideas in machine learning, we explore a variety of non-linear reservoir layers interspersed with regular transformer layers, and show imp...
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[ "We propose a grounded dialogue state encoder which addresses a foundational issue on how to integrate visual grounding with dialogue system components.", "As a test-bed, we focus on the GuessWhat?!", "game, a two-player game where the goal is to identify an object in a complex visual scene by asking a sequence...
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[ "Recent work in natural language processing (NLP) has focused on ethical challenges such as understanding and mitigating bias in data and algorithms; identifying objectionable content like hate speech, stereotypes and offensive language; and building frameworks for better system design and data handling practices."...
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[ "Dialogue systems are usually categorized into two types, open-domain and task-oriented.", "The first one focuses on chatting with users and making them engage in the conversations, where selecting a proper topic to fit the dialogue context is essential for a successful dialogue.", "The other one focuses on a s...
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[ "The modeling of conversational context plays a vital role in emotion recognition from conversation (ERC).", "In this paper, we put for-ward a novel idea of encoding the utterances with a directed acyclic graph (DAG) to better model the intrinsic structure within a conversation, and design a directed acyclic neur...
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[ "We introduce S2ORC, 1 a large corpus of 81.1M English-language academic papers spanning many academic disciplines.", "The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers.", "Full text is annotated with automatical...
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[ "Identifying controversial posts on social media is a fundamental task for mining public sentiment, assessing the influence of events, and alleviating the polarized views.", "However, existing methods fail to 1) effectively incorporate the semantic information from content-related posts; 2) preserve the structura...
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[ "Recent neural text-to-SQL models can effectively translate natural language questions to corresponding SQL queries on unseen databases.", "Working mostly on the Spider dataset, researchers have proposed increasingly sophisticated solutions to the problem.", "Contrary to this trend, in this paper we focus on si...
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[ "The wanton spread of hate speech on the internet brings great harm to society and families.", "It is urgent to establish and improve automatic detection and active avoidance mechanisms for hate speech.", "While there exist methods for hate speech detection, they stereotype words and hence suffer from inherentl...
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[ "Despite some empirical success at correcting exposure bias in machine translation, scheduled sampling algorithms suffer from a ma-jor drawback: they incorrectly assume that words in the reference translations and in sampled sequences are aligned at each time step.", "Our new differentiable sampling algorithm add...
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[ "Disease is one of the fundamental entities in biomedical research.", "Recognizing such entities from biomedical text and then normalizing them to a standardized disease vocabulary offer a tremendous opportunity for many downstream applications.", "Previous studies have demonstrated that joint modeling of the t...
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[ "Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews.", "Most recent efforts adopt attention-based neural network models to implicitly connect aspects with opinion words.", "However, due to the complexity of language and the existence of multiple ...
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[ "Easy access, variety of content, and fast widespread interactions are some of the reasons making social media increasingly popular.", "However, this rise has also enabled the propagation of fake news, text published by news sources with an intent to spread misinformation and sway beliefs.", "Detecting it is an...
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[ "Creating effective visualization is an important part of data analytics.", "While there are many libraries for creating visualizations, writing such code remains difficult given the myriad of parameters that users need to provide.", "In this paper, we propose the new task of synthesizing visualization programs...
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[ "Knowledge-grounded dialogue systems are intended to convey information that is based on evidence provided in a given source text.", "We discuss the challenges of training a generative neural dialogue model for such systems that is controlled to stay faithful to the evidence.", "Existing datasets contain a mix ...
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[ "In this paper, we propose an entity-based neural local coherence model which is linguistically more sound than previously proposed neural coherence models.", "Recent neural coherence models encode the input document using large-scale pretrained language models.", "Hence their basis for computing local coherenc...
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[ "Character-level models of tokens have been shown to be effective at dealing with within-token noise and out-of-vocabulary words.", "However, they often still rely on correct token boundaries.", "In this paper, we propose to eliminate the need for tokenizers with an end-to-end character-level semi-Markov condit...
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[ "Single document summarization is the task of producing a shorter version of a document while preserving its principal information content.", "In this paper we conceptualize extractive summarization as a sentence ranking task and propose a novel training algorithm which globally optimizes the ROUGE evaluation met...
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[ "Publicly traded companies are required to submit periodic reports with eXtensive Business Reporting Language ( xbrl ) word-level tags.", "Manually tagging the reports is tedious and costly.", "We, therefore, introduce xbrl tagging as a new entity extraction task for the financial domain and release f i ner -13...
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[ "Claims are the central component of an argument.", "Detecting claims across different domains or data sets can often be challenging due to their varying conceptualization.", "We propose to alleviate this problem by fine tuning a language model using a Reddit corpus of 5.5 million opinionated claims.", "These...
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[ "We introduce ParaBLEU, a paraphrase representation learning model and evaluation metric for text generation.", "Unlike previous approaches, ParaBLEU learns to understand paraphrasis using generative conditioning as a pretraining objective.", "ParaBLEU correlates more strongly with human judgements than existin...
[ "abstain", "abstain", "abstain", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "absta...
[ "The use of crowdworkers in NLP research is growing rapidly, in tandem with the exponential increase in research production in machine learning and AI.", "Ethical discussion regarding the use of crowdworkers within the NLP research community is typically confined in scope to issues related to labor conditions suc...
[ "abstain", "abstain", "method", "result", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain",...
[ "In this paper, we observe that semi-structured tabulated text is ubiquitous; understanding them requires not only comprehending the meaning of text fragments, but also implicit relationships between them.", "We argue that such data can prove as a testing ground for understanding how we reason about information."...
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[ "A recent advance in monolingual dependency parsing is the idea of a treebank embedding vector, which allows all treebanks for a particular language to be used as training data while at the same time allowing the model to prefer training data from one treebank over others and to select the preferred treebank at tes...
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[ "Wet laboratory protocols (WLPs) are critical for conveying reproducible procedures in biological research.", "They are composed of instructions written in natural language describing the step-wise processing of materials by specific actions.", "This process flow description for reagents and materials synthesis...
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[ "Text segmentation aims to uncover latent structure by dividing text from a document into coherent sections.", "Where previous work on text segmentation considers the tasks of document segmentation and segment labeling separately, we show that the tasks contain complementary information and are best addressed joi...
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[ "Abstract When working with textual data, a natural application of disentangled representations is fair classification where the goal is to make predictions without being biased (or influenced) by sensitive attributes that may be present in the data (e.g., age, gender or race).", "Dominant approaches to disentang...
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[ "The performance of deep learning models in NLP and other fields of machine learning has led to a rise in their popularity, and so the need for explanations of these models becomes paramount.", "Attention has been seen as a solution to increase performance, while providing some explanations.", "However, a debat...
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[ "For languages without natural word boundaries, like Japanese and Chinese, word segmentation is a prerequisite for downstream analysis.", "For Japanese, segmentation is often done jointly with part of speech tagging, and this process is usually referred to as morphological analysis.", "Morphological analyzers a...
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[ "Knowledge graphs suffer from sparsity which degrades the quality of representations generated by various methods.", "While there is an abundance of textual information throughout the web and many existing knowledge bases, aligning information across these diverse data sources remains a challenge in the literatur...
[ "abstain", "abstain", "objective", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", ...
[ "This paper studies the task of comparative preference classification (CPC).", "Given two entities in a sentence, our goal is to classify whether the first (or the second) entity is preferred over the other or no comparison is expressed at all between the two entities.", "Existing works either do not learn enti...
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[ "Abstract Token-level adaptive training approaches can alleviate the token imbalance problem and thus improve neural machine translation, through re-weighting the losses of different target tokens based on specific statistical metrics ( e.g., token frequency or mutual information).", "Given that standard translat...
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[ "Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links.", "Text-based methods such as KG-BERT (Yao et al., 2019) learn entity representations from natural language descriptions, and have the potential for inductive KGC.", "However, the performance of text-based methods sti...
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[ "Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions.", "But real users' needs often fall in between these extremes and correspond to aspects, high-level topics discussed among similar types of documents.", "In this paper, we collect a dataset of...
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[ "Humans are increasingly interacting with machines through language, sometimes in contexts where the user may not know they are talking to a machine (like over the phone or a text chatbot).", "We aim to understand how system designers and researchers might allow their systems to confirm its non-human identity.", ...
[ "abstain", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "absta...
[ "Does the effectiveness of neural language models derive entirely from accurate modeling of surface word co-occurrence statistics, or do these models represent and reason about the world they describe?", "In BART and T5 transformer language models, we identify contextual word representations that function as mode...
[ "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "As an important task in sentiment analysis, Multimodal Aspect-Based Sentiment Analysis (MABSA) has attracted increasing attention in recent years.", "However, previous approaches either", "(i) use separately pre-trained visual and textual models, which ignore the cross-modal alignment or", "(ii) use vision-l...
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[ "Fine-tuning pre-trained cross-lingual language models can transfer task-specific supervision from one language to the others.", "In this work, we propose to improve cross-lingual fine-tuning with consistency regularization.", "Specifically, we use example consistency regularization to penalize the prediction s...
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[ "Although Question-Answering has long been of research interest, its accessibility to users through a speech interface and its support to multiple languages have not been addressed in prior studies.", "Towards these ends, we present a new task and a synthetically-generated dataset to do Fact-based Visual Spoken-Q...
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[ "Text style transfer aims to alter the style (e.g., sentiment) of a sentence while preserving its content.", "A common approach is to map a given sentence to content representation that is free of style, and the content representation is fed to a decoder with a target style.", "Previous methods in filtering sty...
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[ "In this paper, we quantify, analyze and mitigate gender bias exhibited in ELMo's contextualized word vectors.", "First, we conduct several intrinsic analyses and find that (1) training data for ELMo contains significantly more male than female entities, (2) the trained ELMo embeddings systematically encode gende...
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[ "We investigate the task of mining relevant stocks given a topic of concern on emerging capital markets, for which there is lack of structural understanding.", "Deep learning is leveraged to mine evidences from large scale textual data, which contain valuable market information.", "In particular, distributed wo...
[ "objective", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "abstain", "obje...
[ "Prior work has explored directly regularizing the output distributions of probabilistic models to alleviate peaky (i.e. over-confident) predictions, a common sign of overfitting.", "This class of techniques, of which label smoothing is one, has a connection to entropy regularization.", "Despite the consistent ...
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[ "Recent studies in dialogue state tracking (DST) leverage historical information to determine states which are generally represented as slot-value pairs.", "However, most of them have limitations to efficiently exploit relevant context due to the lack of a powerful mechanism for modeling interactions between the ...
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[ "Summarizing biomedical discovery from genomics data using natural languages is an essential step in biomedical research but is mostly done manually.", "Here, we introduce Textomics, a novel dataset of genomics data description, which contains 22,273 pairs of genomics data matrices and their summaries.", "Each ...
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[ "State-of-the-art NLP models can often be fooled by human-unaware transformations such as synonymous word substitution.", "For security reasons, it is of critical importance to develop models with certified robustness that can provably guarantee that the prediction is can not be altered by any possible synonymous...
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[ "Emojis have become ubiquitous in digital communication, due to their visual appeal as well as their ability to vividly convey human emotion, among other factors.", "This also leads to an increased need for systems and tools to operate on text containing emojis.", "In this study, we assess this support by consi...
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[ "Although transfer learning has been shown to be successful for tasks like object and speech recognition, its applicability to question answering (QA) has yet to be well-studied.", "In this paper, we conduct extensive experiments to investigate the transferability of knowledge learned from a source QA dataset to ...
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[ "In this work, we provide a systematic and comprehensive empirical comparison of pretrained multilingual language models versus their monolingual counterparts with regard to their monolingual task performance.", "We study a set of nine typologically diverse languages with readily available pretrained monolingual ...
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[ "Machine reading comprehension is a heavily-studied research and test field for evaluating new pre-trained language models (PrLMs) and fine-tuning strategies, and recent studies have enriched the pre-trained language models with syntactic, semantic and other linguistic information to improve the performance of the ...
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[ "Natural Language Processing (NLP) has recently achieved great success by using huge pre-trained models with hundreds of millions of parameters.", "However, these models suffer from heavy model sizes and high latency such that they cannot be deployed to resource-limited mobile devices.", "In this paper, we prop...
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[ "As large Pre-trained Language Models (PLMs) trained on large amounts of data in an unsupervised manner become more ubiquitous, identifying various types of bias in the text has come into sharp focus.", "Existing Stereotype Detection ' datasets mainly adopt a diagnostic approach toward large PLMs.", "Blodgett ...
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[ "Natural language is compositional; the meaning of a sentence is a function of the meaning of its parts.", "This property allows humans to create and interpret novel sentences, generalizing robustly outside their prior experience.", "Neural networks have been shown to struggle with this kind of generalization, ...
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[ "We propose a semantic parsing dataset focused on instruction-driven communication with an agent in the game Minecraft 1 .", "The dataset consists of 7K human utterances and their corresponding parses.", "Given proper world state, the parses can be interpreted and executed in game.", "We report the performanc...
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[ "Regularization methods applying input perturbation have drawn considerable attention and have been frequently explored for NMT tasks in recent years.", "Despite their simplicity and effectiveness, we argue that these methods are limited by the under-fitting of training data.", "In this paper, we utilize predic...
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[ "Program understanding is a fundamental task in program language processing.", "Despite the success, existing works fail to take human behaviors as reference in understanding programs.", "In this paper, we consider human behaviors and propose the PGNN-EK model that consists of two main components.", "On the o...
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[ "Neural language models are usually trained to match the distributional properties of large-scale corpora by minimizing the log loss.", "While straightforward to optimize, this approach forces the model to reproduce all variations in the dataset, including noisy and invalid references (e.g., misannotations and ha...
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[ "We propose SentiBERT , a variant of BERT that effectively captures compositional sentiment semantics.", "The model incorporates contextualized representation with binary constituency parse tree to capture semantic composition.", "Comprehensive experiments demonstrate that SentiBERT achieves competitive perform...
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[ "To translate large volumes of text in a globally connected world, more and more translators are integrating machine translation (MT) and post-editing (PE) into their translation work-flows to generate publishable quality translations.", "While this process has been shown to save time and reduce errors, the task ...
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[ "The study of argumentation and the development of argument mining tools depends on the availability of annotated data, which is challenging to obtain in sucient quantity and quality.", "We present a method that breaks down a popular but relatively complex discourse-level argument annotation scheme into a simpler...
[ "abstain", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "method", "result", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Open Information Extraction systems extract (subject text, relation text, object text) triples from raw text.", "Some triples are textual versions of facts, i.e., non-canonicalized mentions of entities and relations.", "In this paper, we investigate whether it is possible to infer new facts directly from the o...
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[ "Most previous studies on bridging anaphora resolution (Poesio et al., 2004; Hou et al., 2013b; Hou, 2018a) use the pairwise model to tackle the problem and assume that the gold mention information is given.", "In this paper, we cast bridging anaphora resolution as question answering based on context.", "This a...
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[ "A false contract is more likely to be rejected than a contract is, yet a false key is less likely than a key to open doors.", "While correctly interpreting and assessing the effects of such adjective-noun pairs (e.g., false key ) on the plausibility of given events (e.g., opening doors ) underpins many natural l...
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[ "Recent neural text generation models have shown significant improvement in generating descriptive text from structured data such as table formats.", "One of the remaining important challenges is generating more analytical descriptions that can be inferred from facts in a data source.", "The use of a template-b...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "method", "objective", "objective", "objective", "other", "abstain", "method", "objective",...
[ "The importance of building semantic parsers which can be applied to new domains and generate programs unseen at training has long been acknowledged, and datasets testing out-of-domain performance are becoming increasingly available.", "However, little or no attention has been devoted to learning algorithms or ob...
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[ "Unlike widely used Named Entity Recognition (NER) data sets in generic domains, biomedical NER data sets often contain mentions consisting of discontinuous spans.", "Conventional sequence tagging techniques encode Markov assumptions that are efficient but preclude recovery of these mentions.", "We propose a si...
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[ "In recent years, machine learning models have rapidly become better at generating clinical consultation notes; yet, there is little work on how to properly evaluate the generated consultation notes to understand the impact they may have on both the clinician using them and the patient's clinical safety.", "To ad...
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[ "Reading long documents to answer open-domain questions remains challenging in natural language understanding.", "In this paper, we introduce a new model, called RikiNet, which reads Wikipedia pages for natural question answering.", "RikiNet contains a dynamic paragraph dual-attention reader and a multi-level c...
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[ "A common issue in real-world applications of named entity recognition and classification (NERC) is the absence of annotated data for target entity classes during training.", "Zero-shot learning approaches address this issue by learning models that can transfer information from observed classes in the training da...
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[ "Crystal Richardson (Karuk) University of California, Davis", "Richard Hatcher Jr University at Buffalo rjhatche@buffalo.edu", "Emily Prud'hommeaux Boston College prudhome@bc.edu", "Abstract Languages are classified as low-resource when they lack the quantity of data necessary for training statistical and ma...
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[ "Data augmentation is an effective solution to data scarcity in low-resource scenarios.", "However, when applied to token-level tasks such as NER, data augmentation methods often suffer from token-label misalignment, which leads to unsatsifactory performance.", "In this work, we propose Masked Entity Language M...
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[ "Recent dialogue coherence models use the coherence features designed for monologue texts, e.g. nominal entities, to represent utterances and then explicitly augment them with dialogue-relevant features, e.g., dialogue act labels.", "It indicates two drawbacks,", "(a) semantics of utterances is limited to entit...
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[ "Neural encoders have allowed dependency parsers to shift from higher-order structured models to simpler first-order ones, making decoding faster and still achieving better accuracy than non-neural parsers.", "This has led to a belief that neural encoders can implicitly encode structural constraints, such as sibl...
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[ "A number of differences have emerged between modern and classic approaches to constituency parsing in recent years, with structural components like grammars and feature-rich lexicons becoming less central while recurrent neural network representations rise in popularity.", "The goal of this work is to analyze th...
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