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scim
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naacl_data_prog

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[ "Pre-trained language models (LMs) are currently integral to many natural language processing systems.", "Although multilingual LMs were also introduced to serve many languages, these have limitations such as being costly at inference time and the size and diversity of non-English data involved in their pre-train...
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[ "Recent research in Visual Question Answering (VQA) has revealed state-of-the-art models to be inconsistent in their understanding of the world they answer seemingly difficult questions requiring reasoning correctly but get simpler associated sub-questions wrong.", "These sub-questions pertain to lower level vis...
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[ "Representation learning is widely used in NLP for a vast range of tasks.", "However, representations derived from text corpora often reflect social biases.", "This phenomenon is pervasive and consistent across different neural models, causing serious concern.", "Previous methods mostly rely on a pre-specifie...
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[ "We propose a new architecture for adapting a sentence-level sequence-to-sequence transformer by incorporating multiple pretrained document context signals and assess the impact on translation performance of (1) different pretraining approaches for generating these signals, (2) the quantity of parallel data for whi...
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[ "Pre-trained language models like BERT have proven to be highly performant.", "However, they are often computationally expensive in many practical scenarios, for such heavy models can hardly be readily implemented with limited resources.", "To improve their efficiency with an assured model performance, we propo...
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[ "Neural networks tend to gradually forget the previously learned knowledge when learning multiple tasks sequentially from dynamic data distributions.", "This problem is called catastrophic forgetting , which is a fundamental challenge in the continual learning of neural networks.", "In this work, we observe tha...
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[ "To quantify how well natural language understanding models can capture consistency in a general conversation, we introduce the DialoguE COntradiction DEtection task (DE-CODE) and a new conversational dataset containing both human-human and human-bot contradictory dialogues.", "We show that:", "(i) our newly co...
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[ "Sentence compression reduces the length of text by removing non-essential content while preserving important facts and grammaticality.", "Unsupervised objective driven methods for sentence compression can be used to create customized models without the need for ground-truth training data, while allowing flexibil...
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[ "Adversarial training has shown impressive success in learning bilingual dictionary without any parallel data by mapping monolingual embeddings to a shared space.", "However, recent work has shown superior performance for non-adversarial methods in more challenging language pairs.", "In this work, we revisit ad...
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[ "DocRED is a widely used dataset for document-level relation extraction.", "In the large-scale annotation, a recommend-revise scheme is adopted to reduce the workload.", "Within this scheme, annotators are provided with candidate relation instances from distant supervision, and they then manually supplement and...
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[ "Accurate assessment of the ability of embedding models to capture idiomaticity may require evaluation at token rather than type level, to account for degrees of idiomaticity and possible ambiguity between literal and idiomatic usages.", "However, most existing resources with annotation of idiomaticity include ra...
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[ "In conversation, uptake happens when a speaker builds on the contribution of their interlocutor by, for example, acknowledging, repeating or reformulating what they have said.", "In education, teachers' uptake of student contributions has been linked to higher student achievement.", "Yet measuring and improvin...
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[ "Recently, the Transformer model (Vaswani et al., 2017) that is based solely on attention mechanisms, has advanced the state-of-the-art on various machine translation tasks.", "However, recent studies reveal that the lack of recurrence hinders its further improvement of translation capacity (Chen et al., 2018; De...
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[ "We introduce a novel transition system for discontinuous constituency parsing.", "Instead of storing subtrees in a stack i.e. a data structure with linear-time sequential access the proposed system uses a set of parsing items, with constant-time random access .", "This change makes it possible to construct an...
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[ "The current state-of-the-art generative models for open-domain question answering (ODQA) have focused on generating direct answers from unstructured textual information.", "However, a large amount of world's knowledge is stored in structured databases, and need to be accessed using query languages such as SQL.",...
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[ "It has been shown that machine translation models usually generate poor translations for named entities that are infrequent in the training corpus.", "Earlier named entity translation methods mainly focus on phonetic transliteration, which ignores the sentence context for translation and is limited in domain and...
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[ "Marcin Junczys-Dowmunt Microsoft marcinjd@microsoft.com", "Roman Grundkiewicz University of Edinburgh rgrundki@inf.ed.ac.uk", "Shubha Guha University of Edinburgh sguha@ed-alumni.net", "Kenneth Heafield University of Edinburgh kheafiel@inf.ed.ac.uk", "Previously, neural methods in grammatical error correct...
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[ "Biomedical Information Extraction from scientific literature presents two unique and nontrivial challenges.", "First, compared with general natural language texts, sentences from scientific papers usually possess wider contexts between knowledge elements.", "Moreover, comprehending the fine-grained scientific ...
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[ "Large pre-trained language models achieve state-of-the-art results when fine-tuned on downstream NLP tasks.", "However, they almost exclusively focus on text-only representation, while neglecting cell-level layout information that is important for form image understanding.", "In this paper, we propose a new pr...
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[ "Assessing an AI agent that can converse in human language and understand visual content is challenging.", "Generation metrics, such as BLEU scores favor correct syntax over semantics.", "Hence a discriminative approach is often used, where an agent ranks a set of candidate options.", "The mean reciprocal ran...
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[ "Stance detection is an important task, which aims to classify the attitude of an opinionated text towards a given target.", "Remarkable success has been achieved when sufficient labeled training data is available.", "However, annotating sufficient data is labor-intensive, which establishes significant barriers...
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[ "We study the problem of building entity tagging systems by using a few rules as weak supervision.", "Previous methods mostly focus on disambiguating entity types based on contexts and expert-provided rules, while assuming entity spans are given.", "In this work, we propose a novel method TALLOR that bootstraps...
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[ "We propose syntactically controlled paraphrase networks ( SCPN s) and use them to generate adversarial examples.", "Given a sentence and a target syntactic form (e.g., a constituency parse), SCPN s are trained to produce a paraphrase of the sentence with the desired syntax.", "We show it is possible to create ...
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[ "Recent researches show that pre-trained models (PTMs) are beneficial to Chinese Word Segmentation (CWS).", "However, PTMs used in previous works usually adopt language modeling as pre-training tasks, lacking task-specific prior segmentation knowledge and ignoring the discrepancy between pre-training tasks and do...
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[ "Commonsense reasoning research has so far been limited to English.", "We aim to evaluate and improve popular multilingual language models (ML-LMs) to help advance commonsense reasoning (CSR) beyond English.", "We collect the Mickey corpus, consisting of 561k sentences in 11 different languages, which can be us...
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[ "Named Entity Recognition (NER) is a fundamental task in Natural Language Processing, concerned with identifying spans of text expressing references to entities.", "NER research is often focused on flat entities only (flat NER), ignoring the fact that entity references can be nested, as in [Bank of [China]] (Fink...
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[ "Neural coreference resolution models trained on one dataset may not transfer to new, low-resource domains.", "Active learning mitigates this problem by sampling a small subset of data for annotators to label.", "While active learning is well-defined for classification tasks, its application to coreference reso...
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[ "While BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning (Reimers and Gurevych, 2019), BERT based cross-lingual sentence embeddings have yet to be explored.", "We systematically investigate methods for learning multilingual sente...
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[ "Parallel cross-lingual summarization data is scarce, requiring models to better use the limited available cross-lingual resources.", "Existing methods to do so often adopt sequence-to-sequence networks with multi-task frameworks.", "Such approaches apply multiple decoders, each of which is utilized for a speci...
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[ "In this paper, we introduce a novel methodology to efficiently construct a corpus for question answering over structured data.", "For this, we introduce an intermediate representation that is based on the logical query plan in a database called Operation Trees (OT).", "This representation allows us to invert t...
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[ "In a context of offensive content mediation on social media now regulated by European laws, it is important not only to be able to automatically detect sexist content but also to identify if a message with a sexist content is really sexist or is a story of sexism experienced by a woman.", "We propose: (1) a new ...
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[ "We introduce Span-ConveRT , a light-weight model for dialog slot-filling which frames the task as a turn-based span extraction task.", "This formulation allows for a simple integration of conversational knowledge coded in large pretrained conversational models such as ConveRT (Henderson et al., 2019a).", "We s...
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[ "In entity linking, mentions of named entities in raw text are disambiguated against a knowledge base (KB).", "This work focuses on linking to unseen KBs that do not have training data and whose schema is unknown during training.", "Our approach relies on methods to flexibly convert entities with several attrib...
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[ "Fine-tuning neural networks is widely used to transfer valuable knowledge from high-resource to low-resource domains.", "In a standard fine-tuning scheme, source and target problems are trained using the same architecture.", "Although capable of adapting to new domains, pre-trained units struggle with learning...
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[ "Translated texts have been used for malicious purposes, i.e., plagiarism or fake reviews.", "Existing detectors have been built around a specific translator (e.g., Google) but fail to detect a translated text from a strange translator.", "If we use the same translator, the translated text is similar to its rou...
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[ "Text-level discourse rhetorical structure (DRS) parsing is known to be challenging due to the notorious lack of training data.", "Although recent top-down DRS parsers can better leverage global document context and have achieved certain success, the performance is still far from perfect.", "To our knowledge, a...
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[ "Lexically constrained neural machine translation (NMT), which controls the generation of NMT models with pre-specified constraints, is important in many practical scenarios.", "Due to the representation gap between discrete constraints and continuous vectors in NMT models, most existing works choose to construct...
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[ "When translating natural language questions into SQL queries to answer questions from a database, contemporary semantic parsing models struggle to generalize to unseen database schemas.", "The generalization challenge lies in", "(a) encoding the database relations in an accessible way for the semantic parser, ...
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[ "A long-term goal of AI research is to build intelligent agents that can communicate with humans in natural language, perceive the environment, and perform real-world tasks.", "Vision-and-Language Navigation (VLN) is a fundamental and interdisciplinary research topic towards this goal, and receives increasing att...
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[ "Variational Neural Machine Translation (VNMT) is an attractive framework for modeling the generation of target translations, conditioned not only on the source sentence but also on some latent random variables.", "The latent variable modeling may introduce useful statistical dependencies that can improve transla...
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[ "Variational autoencoders (VAEs) combine latent variables with amortized variational inference, whose optimization usually converges into a trivial local optimum termed posterior collapse , especially in text modeling.", "By tracking the optimization dynamics, we observe the encoder-decoder incompatibility that l...
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[ "Online textsacross genres, registers, domains, and stylesare riddled with human stereotypes, expressed in overt or subtle ways.", "Word embeddings, trained on these texts, perpetuate and amplify these stereotypes, and propagate biases to machine learning models that use word embeddings as features.", "In this ...
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[ "The importance of explaining the outcome of a machine learning model, especially a black-box model, is widely acknowledged.", "Recent approaches explain an outcome by identifying the contributions of input features to this outcome.", "In environments involving large black-box models or complex inputs, this lea...
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[ "Computer-aided translation (CAT), the use of software to assist a human translator in the translation process, has been proven to be useful in enhancing the productivity of human translators.", "Autocompletion, which suggests translation results according to the text pieces provided by human translators, is a co...
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[ "This paper presents a multilingual study of word meaning representations in context.", "We assess the ability of both static and contextualized models to adequately represent different lexical-semantic relations, such as homonymy and synonymy.", "To do so, we created a new multilingual dataset that allows us t...
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[ "Abstract Contrastive learning has achieved impressive success in generation tasks to militate the exposure bias problem and discriminatively exploit the different quality of references.", "Existing works mostly focus on contrastive learning on the instance-level without discriminating the contribution of each wo...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", "result", "abstain", "method", "objective", "abstain", "...
[ "We propose a new automatic evaluation metric for machine translation.", "Our proposed metric is obtained by adjusting the Earth Mover's Distance (EMD) to the evaluation task.", "The EMD measure is used to obtain the distance between two probability distributions consisting of some signatures having a feature a...
[ "objective", "objective", "abstain", "method", "objective", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Ellipsis is a natural language phenomenon where part of a sentence is missing and its information must be recovered from its surrounding context, as in Cats chase dogs and so do foxes..", "Formal semantics has different methods for resolving ellipsis and recovering the missing information, but the problem has no...
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[ "The allure of superhuman-level capabilities has led to considerable interest in language models like GPT-3 and T5, wherein the research has, by and large, revolved around new model architectures, training tasks, and loss objectives, along with substantial engineering efforts to scale up model capacity and dataset ...
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[ "Machine reading is an ambitious goal in NLP that subsumes a wide range of text understanding capabilities.", "Within this broad framework, we address the task of machine reading the time of historical events, compile datasets for the task, and develop a model for tackling it.", "Given a brief textual descripti...
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[ "Adversarial Examples (AEs) generated by perturbing original training examples are useful in improving the robustness of Deep Learning (DL) based models.", "Most prior works generate AEs that are either unconscionable due to lexical errors or semantically and functionally deviant from original examples.", "In t...
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[ "We study the problem of coarse-grained response selection in retrieval-based dialogue sys-tems.", "The problem is equally important with fine-grained response selection, but is less explored in existing literature.", "In this paper, we propose a C ontextual F ine-toC oarse (CFC) distilled model for coarse-grai...
[ "method", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", ...
[ "Corpus query systems exist to address the multifarious information needs of any person interested in the content of annotated corpora.", "In this role they play an important part in making those resources usable for a wider audience.", "Over the past decades, several such query systems and languages have emerg...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "method", "abstain", "other", "abstain", "abstain", "other", "other", "abstai...
[ "Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time this task has been subdivided into smaller and smaller sub-tasks, e.g. , target extraction or targeted polarity classification.", "We argue that this division has become counterproductive and propose a new unified fr...
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[ "We introduce a new task, M ulti M edia E vent E xtraction (M 2 E 2 ), which aims to extract events and their arguments from multimedia documents.", "We develop the first benchmark and collect a dataset of 245 multimedia news articles with extensively annotated events and arguments.", "1 We propose a novel meth...
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[ "The largest store of continually updating knowledge on our planet can be accessed via internet search.", "In this work we study giving access to this information to conversational agents.", "Large language models, even though they store an impressive amount of knowledge within their weights, are known to hallu...
[ "method", "method", "abstain", "objective", "method", "result", "abstain", "abstain", "other", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "objective", "abstain", "other", "other", "other", "other"...
[ "Dense video event captioning aims to generate a sequence of descriptive captions for each event in a long untrimmed video.", "Video-level context provides important information and facilities the model to generate consistent and less redundant captions between events.", "In this paper, we introduce a novel H i...
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[ "This work proposes a standalone, complete Chinese discourse parser for practical applications.", "We approach Chinese discourse parsing from a variety of aspects and improve the shift-reduce parser not only by integrating the pre-trained text encoder, but also by employing novel training strategies.", "We revi...
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[ "We tackle the task of Term Set Expansion (TSE): given a small seed set of example terms from a semantic class, finding more members of that class.", "The task is of great practical utility, and also of theoretical utility as it requires generalization from few examples.", "Previous approaches to the TSE task c...
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[ "Nowadays, fake news detection, which aims to verify whether a news document is trusted or fake, has become urgent and important.", "Most existing methods rely heavily on linguistic and semantic features from the news content, and fail to effectively exploit external knowledge which could help determine whether t...
[ "abstain", "abstain", "objective", "method", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Latent alignment objectives such as CTC and AXE significantly improve non-autoregressive machine translation models.", "Can they improve autoregressive models as well?", "We explore the possibility of training autoregressive machine translation models with latent alignment objectives, and observe that, in prac...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "result", "abstain", "abstain", "other", "other", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstai...
[ "We consider the problem of using observational data to estimate the causal effects of linguistic properties.", "For example, does writing a complaint politely lead to a faster response time?", "How much will a positive product review increase sales?", "This paper addresses two technical challenges related to...
[ "method", "abstain", "abstain", "objective", "objective", "abstain", "objective", "result", "abstain", "objective", "objective", "abstain", "objective", "objective", "objective", "objective", "method", "abstain", "objective", "abstain", "objective", "objective", "result",...
[ "Research has shown that neural models implicitly encode linguistic features, but there has been no research showing how these encodings arise as the models are trained.", "We present the first study on the learning dynamics of neural language models, using a simple and flexible analysis method called Singular Ve...
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[ "Showing items that do not match search query intent degrades customer experience in e-commerce.", "These mismatches result from counterfactual biases of the ranking algorithms toward noisy behavioral signals such as clicks and purchases in the search logs.", "Mitigating the problem requires a large labeled dat...
[ "abstain", "abstain", "abstain", "objective", "method", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "result", "method...
[ "The supervised training of high-capacity models on large datasets containing hundreds of thousands of document-summary pairs is critical to the recent success of deep learning techniques for abstractive summarization.", "Unfortunately, in most domains (other than news) such training data is not available and can...
[ "abstain", "abstain", "abstain", "method", "method", "abstain", "result", "abstain", "other", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Regularization of neural machine translation is still a significant problem, especially in low-resource settings.", "To mollify this problem, we propose regressing word embeddings (ReWE) as a new regularization technique in a system that is jointly trained to predict the next word in the translation (categorical...
[ "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", ...
[ "Pre-trained language models derive substantial linguistic and factual knowledge from the massive corpora on which they are trained, and prompt engineering seeks to align these models to specific tasks.", "Unfortunately, existing prompt engineering methods require significant amounts of labeled data, access to mo...
[ "abstain", "abstain", "objective", "method", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "re...
[ "Detecting out-of-domain (OOD) intents is crucial for the deployed task-oriented dialogue system.", "Previous unsupervised OOD detection methods only extract discriminative features of different in-domain intents while supervised counterparts can directly distinguish OOD and in-domain intents but require extensiv...
[ "abstain", "abstain", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "obj...
[ "Human evaluations are typically considered the gold standard in natural language generation, but as models' fluency improves, how well can evaluators detect and judge machine-generated text?", "We run a study assessing non-experts' ability to distinguish between human-and machine-authored text (GPT2 and GPT3) in...
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[ "Correctly resolving textual mentions of people fundamentally entails making inferences about those people.", "Such inferences raise the risk of systemic biases in coreference resolution systems, including biases that can harm binary and non-binary trans and cis stakeholders.", "To better understand such biases...
[ "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "result", "abstain", "abstain", "ab...
[ "Multimodal pre-training models, such as LXMERT, have achieved excellent results in downstream tasks.", "However, current pre-trained models require large amounts of training data and have huge model sizes, which make them difficult to apply in low-resource situations.", "How to obtain similar or even better pe...
[ "abstain", "abstain", "abstain", "objective", "method", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "Language modeling is the technique to estimate the probability of a sequence of words.", "A bilingual language model is expected to model the sequential dependency for words across languages, which is difficult due to the inherent lack of suitable training data as well as diverse syntactic structure across langu...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Abstract", "We introduce a new task called Multimodal Named Entity Recognition (MNER) for noisy user-generated data such as tweets or Snapchat captions, which comprise short text with accompanying images.", "These social media posts often come in inconsistent or incomplete syntax and lexical notations with ver...
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[ "Document structure is critical for efficient information consumption.", "However, it is challenging to encode it efficiently into the mod-ern Transformer architecture.", "In this work, we present HIBRIDS, which injects Hierarchical Biases foR Incorporating Document Structure into the calculation of attention s...
[ "abstain", "abstain", "method", "objective", "objective", "result", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "method", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "Nested named entity recognition (NER) has been receiving increasing attention.", "Recently, Fu et al. (2020) adapt a span-based constituency parser to tackle nested NER.", "They treat nested entities as partially-observed constituency trees and propose the masked inside algorithm for partial marginalization.",...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "ot...
[ "A pun is a form of wordplay for an intended humorous or rhetorical effect, where a word suggests two or more meanings by exploiting polysemy ( homographic pun ) or phonological similarity to another word ( heterographic pun ).", "This paper presents an approach that addresses pun detection and pun location joint...
[ "abstain", "method", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", ...
[ "The recent tremendous success of unsupervised word embeddings in a multitude of applications raises the obvious question if similar methods could be derived to improve embeddings (i.e. semantic representations) of word sequences as well.", "We present a simple but efficient unsupervised objective to train distri...
[ "abstain", "objective", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "objective", "ob...
[ "Recent work has shown that LSTMs trained on a generic language modeling objective capture syntax-sensitive generalizations such as long-distance number agreement.", "We have however no mechanistic understanding of how they accomplish this remarkable feat.", "Some have conjectured it depends on heuristics that ...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "result", "result", "abstain", "other", "other", "other", "other", "other", "other", "other", "other",...
[ "In many settings it is important for one to be able to understand why a model made a particular prediction.", "In NLP this often entails extracting snippets of an input text responsible for' corresponding model output; when such a snippet comprises tokens that indeed informed the model's prediction, it is a fait...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "Xiang Lisa Li Department of Computer Science Johns Hopkins University xli150@jhu.edu", "Alexander M. Rush Department of Computer Science Cornell Tech arush@cornell.edu", "Abstract", "Text generation often requires high-precision output that obeys task-specific rules.", "This fine-grained control is difficu...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "...
[ "Knowledge Graph (KG) and attention mechanism have been demonstrated effective in introducing and selecting useful information for weakly supervised methods.", "However, only qualitative analysis and ablation study are provided as evidence.", "In this paper, we contribute a dataset and propose a paradigm to qua...
[ "abstain", "abstain", "objective", "result", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "absta...
[ "Aspect terms extraction and opinion terms extraction are two key problems of fine-grained Aspect Based Sentiment Analysis (ABSA).", "The aspect-opinion pairs can provide a global profile about a product or service for consumers and opinion mining systems.", "However, traditional methods can not directly output...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "We describe a new semantic parsing setting that allows users to query the system using both natural language questions and actions within a graphical user interface.", "Multiple time series belonging to an entity of interest are stored in a database and the user interacts with the system to obtain a better under...
[ "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "A good translation should not only translate the original content semantically, but also incarnate personal traits of the original text.", "For a real-world neural machine translation (NMT) system, these user traits (e.g., topic preference, stylistic characteristics and expression habits) can be preserved in use...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "objective", "result", ...
[ "Word Sense Disambiguation (WSD) is a historical NLP task aimed at linking words in contexts to discrete sense inventories and it is usually cast as a multi-label classification task.", "Recently, several neural approaches have employed sense definitions to better represent word meanings.", "Yet, these approach...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "result", "objective", "objective", ...
[ "We consider the problem of generating natural language given a communicative goal and a world description.", "We ask the question: is it possible to combine complementary meaning representations to scale a goal-directed NLG system without losing expressiveness?", "In particular, we consider using two meaning r...
[ "objective", "objective", "method", "objective", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "method", "objective", "abstain", "abstain", ...
[ "Recent years have witnessed the emergence of a variety of post-hoc interpretations that aim to uncover how natural language processing (NLP) models make predictions.", "Despite the surge of new interpretation methods, it remains an open problem how to define and quantitatively measure the faithfulness of interpr...
[ "abstain", "abstain", "objective", "result", "objective", "objective", "method", "result", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "ab...
[ "An essential step in FrameNet Semantic Role Labeling is the Frame Identification (FrameId) task, which aims at disambiguating a situation around a predicate.", "Whilst current FrameId methods rely on textual representations only, we hypothesize that FrameId can profit from a richer understanding of the situation...
[ "abstain", "objective", "abstain", "objective", "method", "result", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Grounding events into a precise timeline is important for natural language understanding but has received limited attention in recent work.", "This problem is challenging due to the inherent ambiguity of language and the requirement for information propagation over inter-related events.", "This paper first for...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "other", "abstain", "abstain", "abstain", "other", "objective", "abstain", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstai...
[ "Social media platforms are deploying machine learning based offensive language classification systems to combat hateful, racist, and other forms of offensive speech at scale.", "However, despite their real-world deployment, we do not yet comprehensively understand the extent to which offensive language classifie...
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[ "In neural machine translation (NMT), monolingual data are usually exploited through a so-called back-translation: sentences in the target language are translated into the source language to synthesize new parallel data.", "While this method provides more training data to better model the target language, on the ...
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[ "Reranking models enable the integration of rich features to select a better output hypothesis within an n-best list or lattice.", "These models have a long history in NLP, and we revisit discriminative reranking for modern neural machine translation models by training a large transformer architecture.", "This ...
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[ "Crowdsourcing is widely used to create data for common natural language understanding tasks.", "Despite the importance of these datasets for measuring and refining model understanding of language, there has been little focus on the crowdsourcing methods used for collecting the datasets.", "In this paper, we co...
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[ "Recent work on unsupervised question answering has shown that models can be trained with procedurally generated question-answer pairs and can achieve performance competitive with supervised methods.", "In this work, we consider the task of unsupervised reading comprehension and present a method that performs tes...
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[ "In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence.", "In this paper, we investigate multi-encoder approaches in document-level neural machine translation (NMT).", "Surprisingly, we find that the context encoder...
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[ "Semantic representations in the form of directed acyclic graphs (DAGs) have been introduced in recent years, and to model them, we need probabilistic models of DAGs.", "One model that has attracted some attention is the DAG automaton, but it has not been studied as a probabilistic model.", "We show that some D...
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[ "Meta-learning promises few-shot learners that quickly adapt to new distributions by repurposing knowledge acquired from previous training.", "However, we believe meta-learning has not yet succeeded in NLP due to the lack of a well-defined task distribution, leading to attempts that treat datasets as tasks.", "...
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[ "Recently, the sequence-to-sequence models have made remarkable progress on the task of keyphrase generation (KG) by concatenating multiple keyphrases in a predefined order as a target sequence during training.", "However, the keyphrases are inherently an unordered set rather than an ordered sequence.", "Imposi...
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[ "We tackle the task of building supervised event trigger identification models which can generalize better across domains.", "Our work leverages the adversarial domain adaptation (ADA) framework to introduce domain-invariance.", "ADA uses adversarial training to construct representations that are predictive for...
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[ "The Emotion Cause Extraction (ECE) task aims to identify clauses which contain emotion-evoking information for a particular emotion expressed in text.", "We observe that a widely-used ECE dataset exhibits a bias that the majority of annotated cause clauses are either directly before their associated emotion clau...
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