Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
A New Approach to Animacy Detection
Animacy is a necessary property for a referent to be an agent, and thus animacy detection is useful for a variety of natural language processing tasks, including word sense disambiguation, co-reference resolution, semant…
Coreference ResolutionSemantic Role LabelingWord EmbeddingsWord Sense DisambiguationThey Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking
This paper analyzes arguably the most challenging yet under-explored aspect of resolution tasks such as coreference resolution and entity linking, that is the resolution of plural mentions. Unlike singular mentions each …
coreference-resolutionCoreference ResolutionEntity LinkingMachine Translation+2From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources
Distributional word representations (often referred to as word embeddings) are omnipresent in modern NLP. Early work has focused on building representations for word types, and recent studies show that lemmatization and …
Coreference ResolutionLemmatizationPOSWord EmbeddingsBridging resolution: Task definition, corpus resources and rule-based experiments
Recent work on bridging resolution has so far been based on the corpus ISNotes (Markert et al. 2012), as this was the only corpus available with unrestricted bridging annotation. Hou et al. 2014{'}s rule-based system cur…
Coreference ResolutionGraph Based Decoding for Event Sequencing and Coreference Resolution
Events in text documents are interrelated in complex ways. In this paper, we study two types of relation: Event Coreference and Event Sequencing. We show that the popular tree-like decoding structure for automated Event …
coreference-resolutionCoreference ResolutionNLATool: an Application for Enhanced Deep Text Understanding
Today, we see an ever growing number of tools supporting text annotation. Each of these tools is optimized for specific use-cases such as named entity recognition. However, we see large growing knowledge bases such as Wi…
Coreference ResolutionEntity Linkingnamed-entity-recognitionNamed Entity Recognition+2Gender Bias in Neural Natural Language Processing
We examine whether neural natural language processing (NLP) systems reflect historical biases in training data. We define a general benchmark to quantify gender bias in a variety of neural NLP tasks. Our empirical evalua…
coreference-resolutionCoreference ResolutionWord EmbeddingsNatural Language Processing for Information Extraction
With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on. Much of this data lies in unstructured form and manually managing and effectively making use of it is…
Articlescoreference-resolutionCoreference ResolutionEntity Linking+11Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
This paper proposes a novel approach for event coreference resolution that models correlations between event coreference chains and document topical structures through an Integer Linear Programming formulation. We explic…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionQuestion AnsweringEntity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis
Predicate argument structure analysis is a task of identifying structured events. To improve this field, we need to identify a salient entity, which cannot be identified without performing coreference resolution and pred…
coreference-resolutionCoreference ResolutionReading ComprehensionIdentification of Alias Links among Participants in Narratives
Identification of distinct and independent participants (entities of interest) in a narrative is an important task for many NLP applications. This task becomes challenging because these participants are often referred to…
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity Recognition+2Deep Reinforcement Learning for NLP
Many Natural Language Processing (NLP) tasks (including generation, language grounding, reasoning, information extraction, coreference resolution, and dialog) can be formulated as deep reinforcement learning (DRL) proble…
Atari Gamescoreference-resolutionCoreference ResolutionDecision Making+8Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts
Existing biomedical coreference resolution systems depend on features and/or rules based on syntactic parsers. In this paper, we investigate the utility of the state-of-the-art general domain neural coreference resolutio…
coreference-resolutionCoreference ResolutionWord EmbeddingsThe Role of Syntax During Pronoun Resolution: Evidence from fMRI
The current study examined the role of syntactic structure during pronoun resolution. We correlated complexity measures derived by the syntax-sensitive Hobbs algorithm and a neural network model for pronoun resolution wi…
Coreference ResolutionNeural Cross-Lingual Coreference Resolution and its Application to Entity Linking
We propose an entity-centric neural cross-lingual coreference model that builds on multi-lingual embeddings and language-independent features. We perform both intrinsic and extrinsic evaluations of our model. In the intr…
coreference-resolutionCoreference ResolutionEntity LinkingGraph-Based Decoding for Event Sequencing and Coreference Resolution
Events in text documents are interrelated in complex ways. In this paper, we study two types of relation: Event Coreference and Event Sequencing. We show that the popular tree-like decoding structure for automated Event …
coreference-resolutionCoreference ResolutionA Simple Method for Commonsense Reasoning
Commonsense reasoning is a long-standing challenge for deep learning. For example, it is difficult to use neural networks to tackle the Winograd Schema dataset (Levesque et al., 2011). In this paper, we present a simple …
Common Sense ReasoningCoreference ResolutionDiversityMultiple-choice+1Nested Named Entity Recognition Revisited
We propose a novel recurrent neural network-based approach to simultaneously handle nested named entity recognition and nested entity mention detection. The model learns a hypergraph representation for nested entities us…
Coreference Resolutionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+3A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
We introduce an automatic system that performs well on two common-sense reasoning tasks, the Winograd Schema Challenge (WSC) and the Choice of Plausible Alternatives (COPA). Problem instances from these tasks require div…
Common Sense ReasoningCoreference ResolutionInformation RetrievalKOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents
We present KOI (Knowledge of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events. KOI-KG can then be used to efficiently answer questions such {``}How many killi…
ArticlesClusteringcoreference-resolutionCoreference Resolution+6