TU Darmstadt / ULB / TUbiblio

High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity

Matuschek, Michael ; Gurevych, Iryna
eds.: Tsujii, Junichi ; Hajic, Jan (2014)
High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity.
Dublin, Ireland
Conference or Workshop Item, Bibliographie

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
Type of entry: Bibliographie
Title: High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity
Language: English
Date: August 2014
Publisher: Dublin City University and Association for Computational Linguistics
Book Title: Proceedings of the the 25th International Conference on Computational Linguistics (COLING 2014)
Event Location: Dublin, Ireland
URL / URN: http://www.aclweb.org/anthology/C14-1025
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.

Uncontrolled Keywords: UKP_reviewed;UKP_p_UBY;UKP_a_LangTech4eHum
Identification Number: TUD-CS-2014-0113
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Last Modified: 24 Jan 2020 12:03
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details