Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator

Roman Kern, Stefan Falk, Andi Rexha


Abstract
This paper describes our participation in SemEval-2017 Task 10. We competed in Subtask 1 and 2 which consist respectively in identifying all the key phrases in scientific publications and label them with one of the three categories: Task, Process, and Material. These scientific publications are selected from Computer Science, Material Sciences, and Physics domains. We followed a supervised approach for both subtasks by using a sequential classifier (CRF - Conditional Random Fields). For generating our solution we used a web-based application implemented in the EU-funded research project, named CODE. Our system achieved an F1 score of 0.39 for the Subtask 1 and 0.28 for the Subtask 2.
Anthology ID:
S17-2167
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
961–964
Language:
URL:
https://www.aclweb.org/anthology/S17-2167
DOI:
10.18653/v1/S17-2167
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2167.pdf