Oleksandr Kolomiyets


2014

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Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL)
Oleksandr Kolomiyets | Marie-Francine Moens | Martha Palmer | James Pustejovsky | Steven Bethard
Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL)

2013

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KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets | Marie-Francine Moens
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

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SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets | Parisa Kordjamshidi | Marie-Francine Moens | Steven Bethard
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

2012

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Extracting Narrative Timelines as Temporal Dependency Structures
Oleksandr Kolomiyets | Steven Bethard | Marie-Francine Moens
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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KU Leuven at HOO-2012: A Hybrid Approach to Detection and Correction of Determiner and Preposition Errors in Non-native English Text
Li Quan | Oleksandr Kolomiyets | Marie-Francine Moens
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP

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Annotating Story Timelines as Temporal Dependency Structures
Steven Bethard | Oleksandr Kolomiyets | Marie-Francine Moens
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We present an approach to annotating timelines in stories where events are linked together by temporal relations into a temporal dependency tree. This approach avoids the disconnected timeline problems of prior work, and results in timelines that are more suitable for temporal reasoning. We show that annotating timelines as temporal dependency trees is possible with high levels of inter-annotator agreement - Krippendorff's Alpha of 0.822 on selecting event pairs, and of 0.700 on selecting temporal relation labels - even with the moderately sized relation set of BEFORE, AFTER, INCLUDES, IS-INCLUDED, IDENTITY and OVERLAP. We also compare several annotation schemes for identifying story events, and show that higher inter-annotator agreement can be reached by focusing on only the events that are essential to forming the timeline, skipping words in negated contexts, modal contexts and quoted speech.

2011

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Model-Portability Experiments for Textual Temporal Analysis
Oleksandr Kolomiyets | Steven Bethard | Marie-Francine Moens
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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KUL: Recognition and Normalization of Temporal Expressions
Oleksandr Kolomiyets | Marie-Francine Moens
Proceedings of the 5th International Workshop on Semantic Evaluation

2009

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Meeting TempEval-2: Shallow Approach for Temporal Tagger
Oleksandr Kolomiyets | Marie-Francine Moens
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)