Factuality detection on the cheap: inferring factuality for increased precision in detecting negated events

Authors:
Erik Velldal;Jonathon Read
Affiliations:
University of Oslo;University of Oslo
Venue:
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
Year:
2012

Citing 14
Cited 0

Making large-scale support vector machine learning practical

Advances in kernel methods
Optimizing search engines using clickthrough data

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Committed belief annotation and tagging

ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
The CoNLL-2010 shared task: learning to detect hedges and their scope in natural language text

CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
A cascade method for detecting hedges and their scope in natural language text

CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Memory-based resolution of in-sentence scopes of hedge cues

CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Automatic committed belief tagging

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Adapting a general semantic interpretation approach to biological event extraction

BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Modality and negation: An introduction to the special issue

Computational Linguistics
Are you sure that this happened? assessing the factuality degree of events in text

Computational Linguistics
Speculation and negation: Rules, rankers, and the role of syntax

Computational Linguistics
*SEM 2012 shared task: resolving the scope and focus of negation

SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
UiO1: constituent-based discriminative ranking for negation resolution

SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a system for discriminating between factual and non-factual contexts, trained on weakly labeled data by taking advantage of information implicit in annotations of negated events. In addition to evaluating factuality detection in isolation, we also evaluate its impact on a system for event detection. The two components for factuality detection and event detection form part of a system for identifying negative factual events, or counterfacts, with top-ranked results in the *SEM 2012 shared task.