Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features. SOTA models do not make use of hierarchical representations of …
coreference-resolutionCoreference ResolutionSciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Determining coreference of concept mentions across multiple documents is a fundamental task in natural language understanding. Previous work on cross-document coreference resolution (CDCR) typically considers mentions of…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionNatural Language UnderstandingMoving on from OntoNotes: Coreference Resolution Model Transfer
Academic neural models for coreference resolution (coref) are typically trained on a single dataset, OntoNotes, and model improvements are benchmarked on that same dataset. However, real-world applications of coref depen…
coreference-resolutionCoreference ResolutionmodelSequential Cross-Document Coreference Resolution
Relating entities and events in text is a key component of natural language understanding. Cross-document coreference resolution, in particular, is important for the growing interest in multi-document analysis tasks. In …
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionNatural Language UnderstandingBack to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
The Winograd Schema (WS) has been proposed as a test for measuring commonsense capabilities of models. Recently, pre-trained language model-based approaches have boosted performance on some WS benchmarks but the source o…
Artifact DetectionBias DetectionCommon Sense ReasoningCoreference Resolution+3Adapting Coreference Resolution Models through Active Learning
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 l…
Active LearningClusteringcoreference-resolutionCoreference ResolutionConversational Semantic Role Labeling
Semantic role labeling (SRL) aims to extract the arguments for each predicate in an input sentence. Traditional SRL can fail to analyze dialogues because it only works on every single sentence, while ellipsis and anaphor…
coreference-resolutionCoreference ResolutionDialogue UnderstandingResponse Generation+2WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia
Cross-document event coreference resolution is a foundational task for NLP applications involving multi-text processing. However, existing corpora for this task are scarce and relatively small, while annotating only mode…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionA Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
Event coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pretrained language models, we argue that it is still highly beneficial to utilize symbolic f…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionAutomatic Data Acquisition for Event Coreference Resolution
We propose to leverage lexical paraphrases and high precision rules informed by news discourse structure to automatically collect coreferential and non-coreferential event pairs from unlabeled English news articles. We p…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference ResolutionENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction
Current state-of-the-art systems for joint entity relation extraction (Luan et al., 2019; Wad-den et al., 2019) usually adopt the multi-task learning framework. However, annotations for these additional tasks such as cor…
coreference-resolutionCoreference ResolutionEntity TypingEvent Extraction+4Detecting Scenes in Fiction: A new Segmentation Task
This paper introduces the novel task of scene segmentation on narrative texts and provides an annotated corpus, a discussion of the linguistic and narrative properties of the task and baseline experiments towards automat…
coreference-resolutionCoreference ResolutionScene SegmentationSegmentationBetter Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and weaknesses in effective KG info…
coreference-resolutionCoreference ResolutionEntity LinkingRelation ExtractionAn End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
We present a joint model for entity-level relation extraction from documents. In contrast to other approaches - which focus on local intra-sentence mention pairs and thus require annotations on mention level - our model …
coreference-resolutionCoreference ResolutionDocument-level Relation ExtractionJoint Entity and Relation Extraction+5Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline
Between January 2017 and January 2021, thousands of local news sources in the United States reported on over 42,000 protests about topics such as civil rights, immigration, guns, and the environment. Given the vast numbe…
Articlescoreference-resolutionCoreference ResolutionDecision Making+3LOME: Large Ontology Multilingual Extraction
We present LOME, a system for performing multilingual information extraction. Given a text document as input, our core system identifies spans of textual entity and event mentions with a FrameNet (Baker et al., 1998) par…
coreference-resolutionCoreference ResolutionEntity TypingRelation+3Joint Coreference Resolution and Character Linking for Multiparty Conversation
Character linking, the task of linking mentioned people in conversations to the real world, is crucial for understanding the conversations. For the efficiency of communication, humans often choose to use pronouns (e.g., …
coreference-resolutionCoreference ResolutionEntity LinkingStructured Prediction as Translation between Augmented Natural Languages
We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, rela…
coreference-resolutionCoreference ResolutionDialogue State TrackingEvent Extraction+13Coreference Resolution in Research Papers from Multiple Domains
Coreference resolution is essential for automatic text understanding to facilitate high-level information retrieval tasks such as text summarisation or question answering. Previous work indicates that the performance of …
coreference-resolutionCoreference ResolutionInformation RetrievalRetrieval+1Coreference Resolution: Are the eliminated spans totally worthless?
Various neural-based methods have been proposed so far for joint mention detection and coreference resolution. However, existing works on coreference resolution are mainly dependent on filtered mention representation, wh…
coreference-resolutionCoreference ResolutionDiversity