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Cross-document event ordering through temporal, lexical and distributional knowledge
- Source :
- RUA. Repositorio Institucional de la Universidad de Alicante, Universidad de Alicante (UA)
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this paper we present a system that automatically builds ordered timelines of events from different written texts in English. The system deals with problems such as automatic event extraction, cross-document temporal relation extraction and cross-document event coreference resolution. Its main characteristic is the application of three different types of knowledge: temporal knowledge, lexical-semantic knowledge and distributional-semantic knowledge, in order to anchor and order the events in the timeline. It has been evaluated within the framework of SemEval 2015. The proposed system improves the current state-of-the-art systems in all measures (up to eight points of F1-score over other systems) and shows a significant advance in the Cross-document event ordering task. This paper has been partially supported by the Spanish government, project TIN2015-65100-R and project TIN2015-65136-C2-2-R.
- Subjects :
- Descriptive knowledge
Information Systems and Management
Event ordering
Computer science
Cross-document event coreference
02 engineering and technology
computer.software_genre
Timelines
Management Information Systems
Task (project management)
Artificial Intelligence
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Cross-document temporal relation
Distributional semantics
Coreference
Information retrieval
Event (computing)
business.industry
Timeline
Relationship extraction
SemEval
Lenguajes y Sistemas Informáticos
020201 artificial intelligence & image processing
Artificial intelligence
Temporal information processing
business
computer
Software
Natural language processing
Subjects
Details
- ISSN :
- 09507051 and 20156510
- Volume :
- 110
- Database :
- OpenAIRE
- Journal :
- Knowledge-Based Systems
- Accession number :
- edsair.doi.dedup.....60a81c8d147e4de4e35573398217a324