Identification of event mentions and their semantic class

Authors:
Steven Bethard;James H. Martin
Affiliations:
University of Colorado at Boulder, Boulder, CO;University of Colorado at Boulder, Boulder, CO
Venue:
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Year:
2006

Citing 4
Cited 8

Learning methods to combine linguistic indicators: improving aspectual classification and revealing linguistic insights

Computational Linguistics
Chunking with support vector machines

NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Named Entity Extraction using AdaBoost

COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Evita: a robust event recognizer for QA systems

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing

Learning semantic links from a corpus of parallel temporal and causal relations

HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
TimeML events recognition and classification: learning CRF models with semantic roles

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Automatic system for identifying and categorizing temporal relations in natural language

International Journal of Intelligent Systems
Event annotation schemes and event recognition in spanish texts

CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Open domain event extraction from twitter

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Labeling by landscaping: classifying tokens in context by pruning and decorating trees

Proceedings of the 21st ACM international conference on Information and knowledge management
Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

Information Processing and Management: an International Journal
Using wordnet hypernyms and dependency features for phrasal-level event recognition and type classification

ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related task, identifying the semantic class of these events, can both be formulated as classification problems in a word-chunking paradigm. We introduce a variety of linguistically motivated features for this task and then train a system that is able to identify events with a precision of 82% and a recall of 71%. We then show a variety of analyses of this model, and their implications for the event identification task.