Cross-document event coreference: annotations, experiments, and observations
Amit Bagga,Breck Baldwin +1 more
- pp 1-8
TLDR
Cross document event tracking technology that extends earlier efforts in cross document person coreference takes class of events, like "resignations" and clusters documents that mention resignations into equivalence classes and evaluates events including "elections" and "espionage" events.Abstract:
We have developed cross document event tracking technology that extends our earlier efforts in cross document person coreference. The software takes class of events, like "resignations" and clusters documents that mention resignations into equivalence classes. Documents belong to the same equivalence class if they mention the same "resignation" event, i.e. resignations involving the same person, time, and organization. Other events evaluated include "elections" and "espionage" events. Results range from 45--90% F-measure scores and we present a brief interannotator study for the "elections" data set.read more
Citations
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Journal ArticleDOI
Toponym resolution in text: annotation, evaluation and applications of spatial grounding
TL;DR: This article defined the task of automatic toponym resolution as computing the mapping from occurrences of names for places as found in a text to a representation of the extensional semantics of the location referred to (its referent), such as a geographic latitude/longitude footprint.
Proceedings Article
Joint Entity and Event Coreference Resolution across Documents
TL;DR: A novel coreference resolution system that models entities and events jointly that handles nominal and verbal events as well as entities, and the joint formulation allows information from event coreference to help entity coreference, and vice versa.
Proceedings Article
Unsupervised Event Coreference Resolution with Rich Linguistic Features
TL;DR: A new class of nonparametric Bayesian models designed with the purpose of clustering complex linguistic objects can be effectively applied to an open-domain event coreference task.
Proceedings ArticleDOI
Event Detection and Co-reference with Minimal Supervision.
TL;DR: This paper develops an event detection and co-reference system with minimal supervision that outperform state-of-the-art supervised methods for event coreference on benchmark data sets, and support significantly better transfer across domains.
Proceedings ArticleDOI
Graph-based Event Coreference Resolution
Zheng Chen,Heng Ji +1 more
TL;DR: This paper models event coreference resolution as a spectral graph clustering problem and evaluates the clustering algorithm on ground truth event mentions using ECM F-Measure and obtains the ECM-F scores of 0.8363 and 0.8312 respectively.
References
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Book
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Proceedings ArticleDOI
Entity-Based Cross-Document Core f erencing Using the Vector Space Model
Amit Bagga,Breck Baldwin +1 more
TL;DR: A cross-document coreference resolution algorithm which uses the Vector Space Model to resolve ambiguities between people having the same name and this algorithm is compared to the scoring algorithm used in the MUC-6 (within document) coreference task.
Proceedings ArticleDOI
Whither written language evaluation
TL;DR: Common evaluations have grown to be a major component of all the ARPA Human Language Technology programs and have been a major impetus in the development of systems for performing such "information extraction" tasks, and thus in demonstrating the potential practical value of some of the written language processing technology.
Coreference as the Foundations for Link Analysis over Free Text Databases
TL;DR: This work leverages the first step in mapping the information in texts into a more data-base like format suitable for visualization with link driven software, and has the potential to substantially increase the domain over which link analysis can be applied.