Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Modelling Pro-drop with the Rational Speech Acts Model
We extend the classic Referring Expressions Generation task by considering zero pronouns in {``}pro-drop{''} languages such as Chinese, modelling their use by means of the Bayesian Rational Speech Acts model (Frank and G…
Coreference ResolutionMachine TranslationText GenerationNamed Person Coreference in English News
People are often entities of interest in tasks such as search and information extraction. In these tasks, the goal is to find as much information as possible about people specified by their name. However in text, some of…
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity Recognition+1PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
We introduce PreCo, a large-scale English dataset for coreference resolution. The dataset is designed to embody the core challenges in coreference, such as entity representation, by alleviating the challenge of low overl…
Clusteringcoreference-resolutionCoreference ResolutionBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models, BERT is designed to pre-train deep bid…
Citation Intent ClassificationCommon Sense ReasoningConversational Response SelectionCoreference Resolution+17Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
Coreference resolution is an important task for natural language understanding, and the resolution of ambiguous pronouns a longstanding challenge. Nonetheless, existing corpora do not capture ambiguous pronouns in suffic…
Coreference ResolutionDiversityNatural Language UnderstandingEvent Coreference Resolution Using Neural Network Classifiers
This paper presents a neural network classifier approach to detecting both within- and cross- document event coreference effectively using only event mention based features. Our approach does not (yet) rely on any event …
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionEvent Coreference Resolution+1A Knowledge Hunting Framework for Common Sense Reasoning
We introduce an automatic system that achieves state-of-the-art results on the Winograd Schema Challenge (WSC), a common sense reasoning task that requires diverse, complex forms of inference and knowledge. Our method us…
Common Sense ReasoningCoreference ResolutionA Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
Several recent studies have shown the benefits of combining language and perception to infer word embeddings. These multimodal approaches either simply combine pre-trained textual and visual representations (e.g. feature…
Coreference ResolutionImage ClassificationQuestion AnsweringRetrieval+3A Probabilistic Annotation Model for Crowdsourcing Coreference
The availability of large scale annotated corpora for coreference is essential to the development of the field. However, creating resources at the required scale via expert annotation would be too expensive. Crowdsourcin…
Coreference ResolutionmodelQuestion AnsweringGetting to ``Hearer-old'': Charting Referring Expressions Across Time
When a reader is first introduced to an entity, its referring expression must describe the entity. For entities that are widely known, a single word or phrase often suffices. This paper presents the first study of how ex…
Coreference ResolutionReferring ExpressionLearning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution
In this work, we present a word embedding model that learns cross-sentence dependency for improving end-to-end co-reference resolution (E2E-CR). While the traditional E2E-CR model generates word representations by runnin…
Coreference ResolutionSentenceCoreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments
Cross-sentence context can provide valuable information in Machine Translation and is critical for translation of anaphoric pronouns and for providing consistent translations. In this paper, we devise simple oracle exper…
Coreference ResolutionLanguage ModelingLanguage ModellingMachine Translation+3CUNI Transformer Neural MT System for WMT18
We describe our NMT system submitted to the WMT2018 shared task in news translation. Our system is based on the Transformer model (Vaswani et al., 2017). We use an improved technique of backtranslation, where we iterate …
coreference-resolutionCoreference ResolutionMachine TranslationNMT+1Triad-based Neural Network for Coreference Resolution
We propose a triad-based neural network system that generates affinity scores between entity mentions for coreference resolution. The system simultaneously accepts three mentions as input, taking mutual dependency and lo…
Clusteringcoreference-resolutionCoreference ResolutionNeural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features
Question Generation is the task of automatically creating questions from textual input. In this work we present a new Attentional Encoder--Decoder Recurrent Neural Network model for automatic question generation. Our mod…
coreference-resolutionCoreference ResolutionDecodernamed-entity-recognition+7Visual Coreference Resolution in Visual Dialog using Neural Module Networks
Visual dialog entails answering a series of questions grounded in an image, using dialog history as context. In addition to the challenges found in visual question answering (VQA), which can be seen as one-round dialog, …
Common Sense Reasoningcoreference-resolutionCoreference ResolutionVisual Dialog+3Syntactic Scaffolds for Semantic Structures
We introduce the syntactic scaffold, an approach to incorporating syntactic information into semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, only making use of a treebank during train…
coreference-resolutionCoreference ResolutionMulti-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
We introduce a multi-task setup of identifying and classifying entities, relations, and coreference clusters in scientific articles. We create SciERC, a dataset that includes annotations for all three tasks and develop a…
ArticlesCoreference ResolutionJoint Entity and Relation ExtractionNamed Entity Recognition (NER)+1Addressing the Winograd Schema Challenge as a Sequence Ranking Task
The Winograd Schema Challenge targets pronominal anaphora resolution problems which require the application of cognitive inference in combination with world knowledge. These problems are easy to solve for humans but most…
Coreference ResolutionLanguage ModelingLanguage ModellingWorld KnowledgeTowards Coreference for Literary Text: Analyzing Domain-Specific Phenomena
Coreference resolution is the task of grouping together references to the same discourse entity. Resolving coreference in literary texts could benefit a number of Digital Humanities (DH) tasks, such as analyzing the depi…
coreference-resolutionCoreference ResolutionNatural Language InferenceSentiment Analysis