Cross-document coreference: An approach to capturing coreference without context (D19-62)
Copied to clipboard
| Challenge: | a cross-document coreference annotation schema was developed to extract timelines in the clinical domain. |
| Approach: | They propose a cross-document coreference annotation schema that is governed by schematic rules to create meaningful and consistent cross- document relations. |
| Outcome: | The proposed approach produces an agreement score of 93.77% for identical relations between the two sets of notes. |
Similar Papers
Cross-document Event Coreference Search: Task, Dataset and Modeling (2022.emnlp-main)
Copied to clipboard
| Challenge: | Cross-document Event Coreference resolution is the task of identifying clusters of text mentions that refer to the same event, whether within a single document or across a document collection. |
| Approach: | They propose a cross-document coreference search task that searches for all coreferring mentions for a query event in a large document collection. |
| Outcome: | The proposed model integrates a powerful coreference scoring scheme into the DPR architecture, yielding improved performance. |
xCoRe: Cross-context Coreference Resolution (2025.emnlp-main)
Copied to clipboard
| Challenge: | Current coreference resolution systems are limited to short-to-medium-sized documents and struggle to scale to very long documents due to architectural limitations and implied memory costs. |
| Approach: | They propose a unified approach to coreference resolution that unifies two challenging settings . they use a pipeline that first identifies mentions, then creates clusters within individual contexts . |
| Outcome: | The proposed model achieves state-of-the-art results on cross-document benchmarks and strong performance on long-document data while retaining top-tier results on traditional datasets. |
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference (2021.emnlp-main)
Copied to clipboard
| Challenge: | Existing approaches simplify by considering coreference only within document clusters, but this fails to handle inter-cluster coreference, common in many applications. |
| Approach: | They propose to model entities/events in a reader’s focus as a neighborhood within a learned latent embedding space which minimizes the distance between mentions and the centroids of their gold coreference clusters. |
| Outcome: | The proposed model achieves state-of-the-art for events and entities on the ECB+, Gun Violence, Football Coreference, and Cross-Domain Cross-DDocument Coreference corpora. |
Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing cross-document event coreference resolution models lack the ability to capture long-distance dependencies. |
| Approach: | They propose to construct document-level Rhetorical Structure Theory trees and cross-document Lexical Chains to model structural and semantic information of documents. |
| Outcome: | The proposed model outperforms baseline models on English and Chinese datasets by large margins. |
Data-driven Coreference-based Ontology Building (2024.findings-emnlp)
Copied to clipboard
| Challenge: | a new ontology is based on coreference resolution, but it is not comprehensive . a recent study found that ontologies categorize concepts into groups and arrange them in a hierarchy . |
| Approach: | They derive coreference chains from a corpus of 30 million biomedical abstracts and construct a graph based on the string phrases within these chains. |
| Outcome: | The proposed ontology overlaps significantly with human-authored ontologies. |
A Cross-document Coreference Dataset for Longitudinal Tracking across Radiology Reports (2022.lrec-1)
Copied to clipboard
| Challenge: | Oftentimes, these findings and devices are referred to multiple times in a single report and are also referred across different reports of a patient. |
| Approach: | They propose a new cross-document coreference resolution (CDCR) dataset for identifying co-referring radiological findings and medical devices across a patient's radiology reports. |
| Outcome: | The proposed dataset contains 5872 mentions (findings and devices) spanning 638 MIMIC-III radiology reports across 60 patients, covering multiple imaging modalities and anatomies. |
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution (P19-1)
Copied to clipboard
| Challenge: | Recognizing that various textual spans across multiple texts refer to the same entity or event is an important NLP task. |
| Approach: | They propose a neural architecture for cross-document coreference resolution by representing an event mention using its lexical span, surrounding context, and relation to other mentions via predicate-arguments structures. |
| Outcome: | The proposed model outperforms the state-of-the-art event coreference model on ECB+ while providing the first entity coreference results on this corpus. |
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia (2021.naacl-main)
Copied to clipboard
| Challenge: | Existing datasets for cross-document event coreference resolution are limited and small . authors present a method for identifying clusters of text mentions that refer to the same event . |
| Approach: | They propose a method for generating a large-scale Wikipedia event coreference dataset . they use a generic approach that adapts state-of-the-art models to the cross-document setting . |
| Outcome: | The proposed method outperforms existing models and can be applied to other languages. |
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution (2023.findings-eacl)
Copied to clipboard
Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O’Connor
| Challenge: | Existing datasets vary in definition of coreferences and are curated for linguistic experts. |
| Approach: | They propose to use ezCoref to create a crowdsourcing-friendly coreference annotation methodology that teaches annotators only cases that are treated similarly across existing datasets. |
| Outcome: | The proposed method reannotates 240 passages from seven existing english coreference datasets while teaching annotators only cases that are treated similarly across them. |
Annotation and Evaluation of Coreference Resolution in Screenplays (2021.findings-acl)
Copied to clipboard
| Challenge: | Screenplays refer to characters using different names, pronouns, and nominal expressions. |
| Approach: | They develop an automatic screenplay parser to extract structural information and design coreference rules based upon the structure of screenplays. |
| Outcome: | The proposed model outperforms a benchmark model on the screenplay coreference resolution task. |