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naacl_data_prog

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[ "We present a new human-human dialogue dataset PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging.", "PhotoChat contains 12k dialogues, each of which is paired with a user photo that is shared during the conversation.", "Based on this dataset, we propose two tasks to...
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[ "Existing reference-free metrics have obvious limitations for evaluating controlled text generation models.", "Unsupervised metrics can only provide a task-agnostic evaluation result which correlates weakly with human judgments, whereas supervised ones may over-fit task-specific data with poor generalization abil...
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[ "Generating multi-sentence descriptions for videos is one of the most challenging captioning tasks due to its high requirements for not only visual relevance but also discourse-based coherence across the sentences in the paragraph.", "Towards this goal, we propose a new approach called Memory-Augmented Recurrent ...
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[ "Efficient word representations play an important role in solving various problems related to Natural Language Processing (NLP), data mining, text mining etc.", "The issue of data sparsity poses a great challenge in creating efficient word representation model for solving the underlying problem.", "The problem ...
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[ "We study the task of semantic parse correction with natural language feedback.", "Given a natural language utterance, most semantic parsing systems pose the problem as one-shot translation where the utterance is mapped to a corresponding logical form.", "In this paper, we investigate a more interactive scenari...
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[ "With state-of-the-art systems having finally attained estimated human performance, Word Sense Disambiguation (WSD) has now joined the array of Natural Language Processing tasks that have seemingly been solved, thanks to the vast amounts of knowledge encoded into Transformer-based pre-trained language models.", "...
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[ "Everyday conversations require understanding everyday events, which in turn, requires understanding temporal commonsense concepts interwoven with those events.", "Despite recent progress with massive pre-trained language models (LMs) such as T5 and GPT-3, their capability of temporal reasoning in dialogs remains...
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[ "The inability to correctly resolve rumours circulating online can have harmful real-world consequences.", "We present a method for incorporating model and data uncertainty estimates into natural language processing models for automatic rumour verification.", "We show that these estimates can be used to filter ...
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[ "In recent years, reference-based and supervised summarization evaluation metrics have been widely explored.", "However, collecting human-annotated references and ratings are costly and time-consuming.", "To avoid these limitations, we propose a training-free and reference-free summarization evaluation metric."...
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[ "Backdoor attacks are a kind of insidious security threat against machine learning models.", "After being injected with a backdoor in training, the victim model will produce adversary-specified outputs on the inputs embedded with predesigned triggers but behave properly on normal inputs during inference.", "As ...
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[ "A major obstacle in Word Sense Disambiguation (WSD) is that word senses are not uniformly distributed, causing existing models to generally perform poorly on senses that are either rare or unseen during training.", "We propose a bi-encoder model that independently embeds (1) the target word with its surrounding ...
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[ "Abstract", "Learning discrete dialog structure graph from human-human dialogs yields basic insights into the structure of conversation, and also provides background knowledge to facilitate dialog generation.", "However, this problem is less studied in open-domain dialogue.", "In this paper, we conduct unsupe...
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[ "Argument pair extraction (APE) is a research task for extracting arguments from two passages and identifying potential argument pairs.", "Prior research work treats this task as a sequence labeling problem and a binary clas-sification problem on two passages that are directly concatenated together, which has a l...
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[ "We introduce the first treebank for a romanized user-generated content variety of Algerian, a North-African Arabic dialect known for its frequent usage of code-switching.", "Made of 1500 sentences, fully annotated in morpho-syntax and Universal Dependency syntax, with full translation at both the word and the se...
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[ "This work treats the paradigm discovery problem (PDP)the task of learning an inflectional morphological system from unannotated sentences.", "We formalize the PDP and develop evaluation metrics for judging systems.", "Using currently available resources, we construct datasets for the task.", "We also devise ...
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[ "It is commonly believed that knowledge of syntactic structure should improve language modeling.", "However, effectively and computationally efficiently incorporating syntactic structure into neural language models has been a challenging topic.", "In this paper, we make use of a multi-task objective, i.e., the ...
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[ "This paper studies continual learning (CL) of a sequence of aspect sentiment classification (ASC) tasks.", "Although some CL techniques have been proposed for document sentiment classification, we are not aware of any CL work on ASC.", "A CL system that incrementally learns a sequence of ASC tasks should addre...
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[ "While online reviews of products and services become an important information source, it remains inefficient for potential consumers to exploit verbose reviews for fulfilling their information need.", "We propose to explore question generation as a new way of review information exploitation, namely generating qu...
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[ "Boston University nikzad@bu.edu", "Boston University isidora@bu.edu", "Mohammad Sadegh Rasooli University of Pennsylvania rasooli@upenn.edu", "University of Pennsylvania ccb@upenn.edu", "Derry Tanti Wijaya Boston University wijaya@bu.edu", "Abstract Neural Machine Translation (NMT) models have been obser...
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[ "Despite pre-trained language models have proven useful for learning high-quality semantic representations, these models are still vulnerable to simple perturbations.", "Recent works aimed to improve the robustness of pre-trained models mainly focus on adversarial training from perturbed examples with similar sem...
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[ "The recent Text-to-Text Transfer Transformer", "(T5)", "leveraged a unified text-to-text format and scale to attain state-of-the-art results on a wide variety of English-language NLP tasks.", "In this paper, we introduce mT5, a multilingual variant of T5 that was pre-trained on a new Common Crawl-based datas...
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[ "Coding EMRs with diagnosis and procedure codes is an indispensable task for billing, secondary data analyses, and monitoring health trends.", "Both speed and accuracy of coding are critical.", "While coding errors could lead to more patient-side financial burden and misinterpretation of a patient's well-being,...
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[ "The embedding-based large-scale query-document retrieval problem is a hot topic in the information retrieval (IR) field.", "Considering that pre-trained language models like BERT have achieved great success in a wide variety of NLP tasks, we present a QuadrupletBERT model for effective and efficient retrieval in...
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[ "Abstract", "Verifying the correctness of a textual statement requires not only semantic reasoning about the meaning of words, but also symbolic reasoning about logical operations like count , superlative , aggregation , etc.", "In this work, we propose LogicalFactChecker , a neural network approach capable of ...
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[ "Translation quality evaluation plays a crucial role in machine translation.", "According to the input format, it is mainly separated into three tasks, i.e. , reference-only, source-only and source-reference-combined.", "Recent methods, despite their promising results, are specifically designed and optimized on...
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[ "Implicit discourse relation recognition (IDRR) aims to identify logical relations between two adjacent sentences in the discourse.", "Existing models fail to fully utilize the contextual information which plays an important role in interpreting each local sentence.", "In this paper, we thus propose a novel gra...
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[ "Languages evolve and diverge over time.", "Their evolutionary history is often depicted in the shape of a phylogenetic tree.", "Assuming parsing models are representations of their languages grammars, their evolution should follow a structure similar to that of the phylogenetic tree.", "In this paper, drawin...
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[ "2 Data Science Lab, JD.com, Beijing, China 3 Institute for AI Industry Research, Tsinghua University, Beijing, China zhanhaolan316@gmail.com, zhanghainan6@jd.com, ac@chenhongshen.com, dingzhuoye@jd.com, lanyanyan@tsinghua.edu.cn", "Abstract Knowledge data are massive and widespread in the real-world, which can s...
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[ "Recent studies have shown remarkable success in end-to-end task-oriented dialog system.", "However, most neural models rely on large training data, which are only available for a certain number of task domains, such as navigation and scheduling.", "This makes it difficult to scalable for a new domain with limi...
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[ "In traditional Distributional Semantic Models (DSMs) the multiple senses of a polysemous word are conflated into a single vector space representation.", "In this work, we propose a DSM that learns multiple distributional representations of a word based on different topics.", "First, a separate DSM is trained f...
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[ "We present a new dataset and models for comprehending paragraphs about processes (e.g., photosynthesis), an important genre of text describing a dynamic world.", "The new dataset, ProPara, is the first to contain natural (rather than machine-generated) text about a changing world along with a full annotation of ...
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[ "To make machines better understand sentiments, research needs to move from polarity identification to understanding the reasons that underlie the expression of sentiment.", "Categorizing the goals or needs of humans is one way to explain the expression of sentiment in text.", "Humans are good at understanding ...
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[ "We propose EASE , a simple diagnostic tool for Visual Question Answering (VQA) which quantifies the difficulty of an image, question sample.", "EASE is based on the pattern of answers provided by multiple annotators to a given question.", "In particular, it considers two aspects of the answers:", "(i) their ...
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[ "Abstract Meaning Representations (AMRs) are broad-coverage sentence-level semantic graphs.", "Existing approaches to generating text from AMR have focused on training sequence-to-sequence or graph-to-sequence models on AMR annotated data only.", "In this paper, we propose an alternative approach that combines ...
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[ "Dan Schwartz Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213 drschwar@cs.cmu.edu", "Tom Mitchell Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213 tom.mitchell@cs.cmu.edu", "Abstract", "Extensions of this analysis that further examine what kinds of information in the model embed...
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[ "In this paper, we explore text classification with extremely weak supervision , i.e., only relying on the surface text of class names.", "This is a more challenging setting than the seed-driven weak supervision, which allows a few seed words per class.", "We opt to attack this problem from a representation lea...
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[ "Social biases are encoded in word embeddings.", "This presents a unique opportunity to study society historically and at scale, and a unique danger when embeddings are used in downstream applications.", "Here, we investigate the extent to which publicly-available word embeddings accurately reflect beliefs abou...
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[ "Question answering (QA) and question generation (QG) are closely related tasks that could improve each other; however, the connection of these two tasks is not well explored in literature.", "In this paper, we give a systematic study that seeks to leverage the connection to improve both QA and QG.", "We presen...
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[ "Many Question-Answering (QA) datasets contain unanswerable questions, but their treatment in QA systems remains primitive.", "Our analysis of the Natural Questions (Kwiatkowski et al., 2019) dataset reveals that a substantial portion of unanswerable questions ( 21%) can be explained based on the presence of unv...
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[ "BERT (Bidirectional Encoder Representations from Transformers) and related pre-trained Transformers have provided large gains across many language understanding tasks, achieving a new state-of-the-art (SOTA).", "BERT is pre-trained on two auxiliary tasks: Masked Language Model and Next Sentence Prediction.", "...
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[ "Supervised approaches to named entity recognition (NER) are largely developed based on the assumption that the training data is fully annotated with named entity information.", "However, in practice, annotated data can often be imperfect with one typical issue being the training data may contain incomplete annot...
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[ "We study the problem of generating data poisoning attacks against Knowledge Graph Embedding (KGE) models for the task of link prediction in knowledge graphs.", "To poison KGE models, we propose to exploit their inductive abilities which are captured through the relationship patterns like symmetry, inversion and ...
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[ "We present deep communicating agents in an encoder-decoder architecture to address the challenges of representing a long document for abstractive summarization.", "With deep communicating agents, the task of encoding a long text is divided across multiple collaborating agents, each in charge of a subsection of t...
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[ "Cross-domain NER is a challenging yet practical problem.", "Entity mentions can be highly different across domains.", "However, the correlations between entity types can be relatively more stable across domains.", "We investigate a multi-cell compositional LSTM structure for multi-task learning, modeling eac...
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[ "Conversational agents have come increasingly closer to human competence in open-domain dialogue settings; however, such models can reflect insensitive, hurtful, or entirely incoherent viewpoints that erode a user's trust in the moral integrity of the system.", "Moral deviations are difficult to mitigate because ...
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[ "Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence entities.", "However, effective aggregation of relevant information in the document remains a challenging research question.", "Existi...
[ "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", ...
[ "In this paper we conceptualize single-document extractive summarization as a tree induction problem.", "In contrast to previous approaches (Marcu, 1999; Yoshida et al., 2014) which have relied on linguistically motivated document representations to generate summaries, our model induces a multi-root dependency tr...
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[ "Framing involves the positive or negative presentation of an argument or issue depending on the audience and goal of the speaker (Ent-man, 1983).", "Differences in lexical framing, the focus of our work, can have large effects on peoples' opinions and beliefs.", "To make progress towards reframing arguments fo...
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[ "Fact verification is a challenging task that requires simultaneously reasoning and aggregating over multiple retrieved pieces of evidence to evaluate the truthfulness of a claim.", "Existing approaches typically", "(i) explore the semantic interaction between the claim and evidence at different granularity lev...
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[ "In this paper, we hypothesize that sarcasm is closely related to sentiment and emotion, and thereby propose a multi-task deep learning framework to solve all these three problems simultaneously in a multi-modal conversational scenario.", "We, at first, manually annotate the recently released multi-modal MUStARD ...
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[ "Abstract", "Both performance and efficiency are crucial factors for sequence labeling tasks in many real-world scenarios.", "Although the pre-trained models (PTMs) have significantly improved the performance of various sequence labeling tasks, their computational cost is expensive.", "To alleviate this probl...
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[ "People debate on a variety of topics on online platforms such as Reddit, or Facebook.", "Debates can be lengthy, with users exchanging a wealth of information and opinions.", "However, conversations do not always go smoothly, and users sometimes engage in unsound argumentation techniques to prove a claim.", ...
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[ "Recent years have witnessed various types of generative models for natural language generation (NLG), especially RNNs or transformer based sequence-to-sequence models, as well as variational autoencoder (VAE) and generative adversarial network (GAN) based models.", "However, flow-based generative models, which a...
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[ "While hyper-parameters (HPs) are important for knowledge graph (KG) learning, existing methods fail to search them efficiently.", "To solve this problem, we first analyze the properties of different HPs and measure the transfer ability from small subgraph to the full graph.", "Based on the analysis, we propose...
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[ "Extracting lexico-semantic relations as graph-structured taxonomies, also known as taxonomy construction, has been beneficial in a variety of NLP applications.", "Recently Graph Neural Network (GNN) has shown to be powerful in successfully tackling many tasks.", "However, there has been no attempt to exploit G...
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[ "In this paper, we present a novel integrated approach for keyphrase generation (KG).", "Unlike previous works which are purely extractive or generative, we first propose a new multitask learning framework that jointly learns an extractive model and a generative model.", "Besides extracting keyphrases, the outp...
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[ "We propose a simple data augmentation protocol aimed at providing a compositional inductive bias in conditional and unconditional sequence models.", "Under this protocol, synthetic training examples are constructed by taking real training examples and replacing (pos-sibly discontinuous) fragments with other frag...
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[ "Neural sequence-to-sequence networks with attention have achieved remarkable performance for machine translation.", "One of the reasons for their effectiveness is their ability to capture relevant source-side contextual information at each time-step prediction through an attention mechanism.", "However, the ta...
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[ "Most low resource language technology development is premised on the need to collect data for training statistical models.", "When we follow the typical process of recording and transcribing text for small Indigenous languages, we hit up against the so-called transcription bot-tleneck.", "Therefore it is worth...
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[ "The main motivation for developing context-sensitive lemmatizers is to improve performance on unseen and ambiguous words.", "Yet previous systems have not carefully evaluated whether the use of context actually helps in these cases.", "We introduce Lematus, a lemmatizer based on a standard encoder-decoder arch...
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[ "We present a resource for the task of FrameNet semantic frame disambiguation of over 5,000 word-sentence pairs from the Wikipedia corpus.", "The annotations were collected using a novel crowdsourcing approach with multiple workers per sentence to capture inter-annotator disagreement .", "In contrast to the typ...
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[ "Language models that use additional latent structures (e.g., syntax trees, coreference chains, and knowledge graph links) provide several advantages over traditional language models.", "However, likelihood-based evaluation of these models is often intractable as it requires marginalizing over the latent space.",...
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[ "Despite the continuing efforts to improve the engagingness and consistency of chit-chat dialogue systems, the majority of current work simply focus on mimicking human-like responses, leaving understudied the aspects of modeling understanding between interlocutors.", "The research in cognitive science, instead, s...
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[ "Hierarchical multi-label text classification (HMTC) aims to tag each document with a set of classes from a class hierarchy.", "Most existing HMTC methods train classifiers using massive human-labeled documents, which are often too costly to obtain in real-world applications.", "In this paper, we explore to con...
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[ "Extracting information from full documents is an important problem in many domains, but most previous work focus on identifying relationships within a sentence or a paragraph.", "It is challenging to create a large-scale information extraction (IE) dataset at the document level since it requires an understanding...
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[ "Recently, neural machine translation (NMT) has emerged as a powerful alternative to conventional statistical approaches.", "However, its performance drops considerably in the presence of morphologically rich languages (MRLs).", "Neural engines usually fail to tackle the large vocabulary and high out-of-vocabul...
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[ "Multi-hop reasoning question answering requires deep comprehension of relationships between various documents and queries.", "We propose a Bi-directional Attention Entity Graph Convolutional Network (BAG), leveraging relationships between nodes in an entity graph and attention information between a query and the...
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[ "This paper studies the performance of a neural self-attentive parser on transcribed speech.", "Speech presents parsing challenges that do not appear in written text, such as the lack of punctuation and the presence of speech disfluencies (including filled pauses, repetitions, corrections, etc.).", "Disfluencie...
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[ "The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not.", "Models are usually separately developed for the two tasks, since sequence labeling models are only able to assign a single label to a particular token, which is un...
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[ "Fusion-in-decoder (FID ) (Izacard and Grave, 2021) is a generative question answering (QA) model that leverages passage retrieval with a pre-trained transformer and pushed the state of the art on single-hop QA.", "However, the complexity of multi-hop QA hinders the effectiveness of the generative QA approach.", ...
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[ "Handing in a paper or exercise and merely receiving \"bad\" or \"incorrect\" as feedback is not very helpful when the goal is to improve.", "Unfortunately, this is currently the kind of feedback given by many Automatic Short Answer Grading (ASAG) systems.", "One of the reasons for this is a lack of content-foc...
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[ "Abstract NLP algorithms are increasingly used in computational social science to take linguistic observations and predict outcomes like human preferences or actions.", "Making these social models transparent and interpretable often requires identifying features in the input that predict outcomes while also contr...
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[ "Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in this task.", "In order to further test the capabilities of these powerful neural networks on a harder NLP ...
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[ "We consider the problem of collectively detecting multiple events, particularly in cross-sentence settings.", "The key to dealing with the problem is to encode semantic information and model event inter-dependency at a document-level.", "In this paper, we reformulate it as a Seq2Seq task and propose a M ultiL ...
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[ "Trending topics in social media content evolve over time, and it is therefore crucial to understand social media users and their interpersonal communications in a dynamic manner.", "In this research we study dynamic online conversation recommendation , to help users engage in conversations that satisfy their evo...
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[ "Abstract Visual storytelling (VIST) is a typical vision and language task that has seen extensive development in the natural language generation research domain.", "However, it remains unclear whether conventional automatic evaluation metrics for text generation are applicable on VIST.", "In this paper, we pre...
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[ "We present a new dataset for machine comprehension in the medical domain.", "Our dataset uses clinical case reports with around 100,000 gap-filling queries about these cases.", "We apply several baselines and state-of-the-art neural readers to the dataset, and observe a considerable gap in performance (20% F1)...
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[ "Named entity recognition (NER) is a common task in Natural Language Processing (NLP), but it remains more challenging in Chinese because of its lack of natural delimiters.", "Therefore, Chinese Word Segmentation (CWS) is usually necessary as the first step for Chinese NER.", "However, models based on word-leve...
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[ "Meta-learning, or learning to learn, is a technique that can help to overcome resource scarcity in cross-lingual NLP problems, by enabling fast adaptation to new tasks.", "We apply model-agnostic meta-learning ( MAML ) to the task of cross-lingual dependency parsing.", "We train our model on a diverse set of l...
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[ "Dependency trees have been intensively used with graph neural networks for aspect-based sentiment classification.", "Though being effective, such methods rely on external dependency parsers, which can be unavailable for low-resource languages or perform worse in low-resource domains.", "In addition, dependency...
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[ "One of the most crucial challenges in question answering (QA) is the scarcity of labeled data, since it is costly to obtain question-answer (QA) pairs for a target text domain with human annotation.", "An alternative approach to tackle the problem is to use automatically generated QA pairs from either the proble...
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[ "We present a benchmark suite of four datasets for evaluating the fairness of pre-trained language models and the techniques used to fine-tune them for downstream tasks.", "Our benchmarks cover four jurisdictions (Euro-pean Council, USA, Switzerland, and China), five languages (English, German, French, Italian an...
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[ "The key to effortless end-user programming is natural language.", "We examine how to teach intelligent systems new functions, expressed in natural language.", "As a first step, we collected 3168 samples of teaching efforts in plain English.", "Then we built fu SE , a novel system that translates English func...
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[ "The goal of the cross-lingual summarization (CLS) is to convert a document in one language ( e.g. , English) to a summary in another one ( e.g. , Chinese).", "Essentially, the CLS task is the combination of machine translation (MT) and monolingual summarization (MS), and thus there exists the hierarchical relati...
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[ "Ronald Cardenas Ying Lin Heng Ji Jonathan May Institute of Formal and Applied Linguistics, Charles University in Prague Computer Science Department, Rensselaer Polytechnic Institute Information Sciences Institute, University of Southern California ronald.cardenas@matfyz.cz liny9@rpi.edu jih@rpi.edu jonmay@i...
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[ "Human innovation in language, such as inventing new words, is a challenge for pretrained language models.", "We assess the ability of one large model, GPT-3, to process new words and decide on their meaning.", "We create a set of nonce words and prompt GPT-3 to generate their dictionary definitions.", "We fi...
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[ "We discuss the impact of data bias on abusive language detection.", "We show that classification scores on popular datasets reported in previous work are much lower under realistic settings in which this bias is reduced.", "Such biases are most notably observed on datasets that are created by focused sampling ...
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[ "Since the development and wide use of pretrained language models (PLMs), several approaches have been applied to boost their performance on downstream tasks in specific domains, such as biomedical or scientific domains.", "Additional pre-training with in-domain texts is the most common approach for providing dom...
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[ "Understanding human preferences, along with cultural and social nuances, lives at the heart of natural language understanding.", "Concretely, we present a new task and corpus for learning alignments between machine and human preferences.", "Our newly introduced problem is concerned with predicting the preferab...
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[ "We present Knowledge Distillation with Meta Learning (MetaDistil), a simple yet effective alternative to traditional knowledge distillation (KD) methods where the teacher model is fixed during training.", "We show the teacher network can learn to better transfer knowledge to the student network (i.e., learning t...
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[ "Several datasets have recently been constructed to expose brittleness in models trained on existing benchmarks.", "While model performance on these challenge datasets is signifi-cantly lower compared to the original benchmark, it is unclear what particular weaknesses they reveal.", "For example, a challenge da...
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[ "Informal social interaction is the primordial home of human language.", "Linguistically diverse conversational corpora are an important and largely untapped resource for computational linguistics and language technology.", "Through the efforts of a worldwide language documentation movement, such corpora are in...
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[ "Predicting Declension Class from Form and Meaning Adina Williams @ Tiago Pimentel D Arya D. McCarthy Z Hagen Blix Eleanor Chodroff Y Ryan Cotterell D , Q @ Facebook AI Research D University of Cambridge Z Johns Hopkins University New York University Y University of York QETH Zurich adinawilliams@fb.com , tp472@c...
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[ "Open relation extraction aims to cluster relation instances referring to the same underlying relation, which is a critical step for general relation extraction.", "Current OpenRE models are commonly trained on the datasets generated from distant supervision, which often results in instability and makes the model...
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[ "News framing refers to the practice in which aspects of specific issues are highlighted in the news to promote a particular interpretation.", "In NLP, although recent works have studied framing in English news, few have studied how the analysis can be extended to other languages and in a multi-label setting.", ...
[ "abstain", "abstain", "objective", "objective", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "This paper introduces a new task Chinese address parsing the task of mapping Chinese addresses into semantically meaningful chunks.", "While it is possible to model this problem using a conventional sequence labelling approach, our observation is that there exist complex dependencies between labels that cannot...
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[ "reubencg@stanford.edu", "ngoodman@stanford.edu", "Abstract", "A desideratum of high-quality translation systems is that they preserve meaning, in the sense that two sentences with different meanings should not translate to one and the same sentence in another language.", "However, state-of-the-art systems ...
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[ "Semi-supervised bootstrapping techniques for relationship extraction from text iteratively expand a set of initial seed instances.", "Due to the lack of labeled data, a key challenge in bootstrapping is semantic drift: if a false positive instance is added during an iteration, then all following iterations are c...
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[ "We present BART, a denoising autoencoder for pretraining sequence-to-sequence models.", "BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.", "It uses a standard Tranformer-based neural machine translation architecture which, de...
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[ "Natural language sentences, being hierarchical, can be represented at di erent levels of granularity, like words, subwords, or characters.", "But most neural machine translation systems require the sentence to be represented as a sequence at a single level of granularity.", "It can be di cult to determine wh...
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