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Mixing and blending syntactic and semantic dependencies
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Number of Authors: 6
2008 (English)In: CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, Coling 2008 Organizing Committee , 2008, 1, 248-252 p.Conference paper (Refereed)
Abstract [en]

Our system for the CoNLL 2008 shared task uses a set of individual parsers, a set of stand-alone semantic role labellers, and a joint system for parsing and semantic role labelling, all blended together. The system achieved a macro averaged labelled F1- score of 79.79 (WSJ 80.92, Brown 70.49) for the overall task. The labelled attachment score for syntactic dependencies was 86.63 (WSJ 87.36, Brown 80.77) and the labelled F1-score for semantic dependencies was 72.94 (WSJ 74.47, Brown 60.18).

Place, publisher, year, edition, pages
Coling 2008 Organizing Committee , 2008, 1. 248-252 p.
Keyword [en]
Natural Language Processing, Semantic Role Labelling, Dependency Parsing, Joint Learning, Supervised Learning
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22898OAI: oai:DiVA.org:ri-22898DiVA: diva2:1042463
Conference
CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning
Note
Publisher: Coling 2008 Organizing Committee. Pages: 248 - 252.Available from: 2016-10-31 Created: 2016-10-31

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Computer and Information Science

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