Abstract
This paper describes the system SPINOZA VU developed for the SemEval 2015 Task 4: Cross Document TimeLines. The system integrates output from the NewsReader Natural Language Processing pipeline and is designed following an entity based model. The poor performance of the submitted runs are mainly a consequence of error propagation. Nevertheless, the error analysis has shown that the interpretation module behind the system performs correctly. An out of competition version of the system has fixed some errors and obtained competitive
results. Therefore, we consider the system an important step towards a more complex task such as storyline extraction.
results. Therefore, we consider the system an important step towards a more complex task such as storyline extraction.
Original language | English |
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Title of host publication | Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) |
Place of Publication | Denver, Colorado, USA |
Publisher | Association for Computational Linguistics |
Pages | 786-790 |
ISBN (Print) | 9781941643402 |
Publication status | Published - 2015 |
Event | SemEval 2015 - Duration: 4 Jun 2015 → 5 Jun 2015 |
Conference
Conference | SemEval 2015 |
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Period | 4/06/15 → 5/06/15 |