The CLaC Discourse Parser at CoNLL-2015
August 19, 2017 ยท Declared Dead ยท ๐ Conference on Computational Natural Language Learning
"No code URL or promise found in abstract"
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Authors
Majid Laali, Elnaz Davoodi, Leila Kosseim
arXiv ID
1708.05857
Category
cs.CL: Computation & Language
Citations
9
Venue
Conference on Computational Natural Language Learning
Last Checked
5 months ago
Abstract
This paper describes our submission (kosseim15) to the CoNLL-2015 shared task on shallow discourse parsing. We used the UIMA framework to develop our parser and used ClearTK to add machine learning functionality to the UIMA framework. Overall, our parser achieves a result of 17.3 F1 on the identification of discourse relations on the blind CoNLL-2015 test set, ranking in sixth place.
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