Coreference Resolution
254 papers with code • 15 benchmarks • 42 datasets
Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities.
Example:
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I voted for Obama because he was most aligned with my values", she said.
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"I", "my", and "she" belong to the same cluster and "Obama" and "he" belong to the same cluster.
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Latest papers
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution
We then propose a two-step neural mention and coreference resolution system, named SPLICE, and compare its performance to the end-to-end approach in two scenarios: the OntoNotes test set and the out-of-domain (OOD) OntoGUM corpus.
Multilingual Coreference Resolution in Low-resource South Asian Languages
We introduce a Translated dataset for Multilingual Coreference Resolution (TransMuCoRes) in 31 South Asian languages using off-the-shelf tools for translation and word-alignment.
Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach
Previous work extended the QNLP translation to discourse structure using points in a closure of Hilbert spaces.
ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution
We present CorPipe, the winning entry to the CRAC 2023 Shared Task on Multilingual Coreference Resolution.
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
Various NLP tasks require a complex hierarchical structure over nodes, where each node is a cluster of items.
Investigating Multilingual Coreference Resolution by Universal Annotations
Multilingual coreference resolution (MCR) has been a long-standing and challenging task.
CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
Event coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters.
Seq2seq is All You Need for Coreference Resolution
Existing works on coreference resolution suggest that task-specific models are necessary to achieve state-of-the-art performance.
Semi-supervised multimodal coreference resolution in image narrations
In this paper, we study multimodal coreference resolution, specifically where a longer descriptive text, i. e., a narration is paired with an image.
CAW-coref: Conjunction-Aware Word-level Coreference Resolution
State-of-the-art coreference resolutions systems depend on multiple LLM calls per document and are thus prohibitively expensive for many use cases (e. g., information extraction with large corpora).