Matuschek, Michael ; Gurevych, Iryna
Tsujii, Junichi ; Hajic, Jan (eds.) (2014):
High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity.
In: Proceedings of the the 25th International Conference on Computational Linguistics (COLING 2014), pp. 245-256,
Dublin City University and Association for Computational Linguistics, Dublin, Ireland, [Conference or Workshop Item]
Abstract
In this paper, we present a machine learning approach for word sense alignment (WSA) which combines distances between senses in the graph representations of lexical-semantic resources with gloss similarities. In this way, we significantly outperform the state of the art on each of the four datasets we consider. Moreover, we present two novel datasets for WSA between Wiktionary and Wikipedia in English and German. The latter dataset in not only of unprecedented size, but also created by the large community of Wiktionary editors instead of expert annotators, making it an interesting subject of study in its own right as the first crowdsourced WSA dataset. We will make both datasets freely available along with our computed alignments.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2014 |
| Editors: | Tsujii, Junichi ; Hajic, Jan |
| Creators: | Matuschek, Michael ; Gurevych, Iryna |
| Title: | High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity |
| Language: | English |
| Abstract: | In this paper, we present a machine learning approach for word sense alignment (WSA) which combines distances between senses in the graph representations of lexical-semantic resources with gloss similarities. In this way, we significantly outperform the state of the art on each of the four datasets we consider. Moreover, we present two novel datasets for WSA between Wiktionary and Wikipedia in English and German. The latter dataset in not only of unprecedented size, but also created by the large community of Wiktionary editors instead of expert annotators, making it an interesting subject of study in its own right as the first crowdsourced WSA dataset. We will make both datasets freely available along with our computed alignments. |
| Book Title: | Proceedings of the the 25th International Conference on Computational Linguistics (COLING 2014) |
| Publisher: | Dublin City University and Association for Computational Linguistics |
| Uncontrolled Keywords: | UKP_reviewed;UKP_p_UBY;UKP_a_LangTech4eHum |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Ubiquitous Knowledge Processing |
| Event Location: | Dublin, Ireland |
| Date Deposited: | 31 Dec 2016 14:29 |
| URL / URN: | http://www.aclweb.org/anthology/C14-1025 |
| Identification Number: | TUD-CS-2014-0113 |
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