%0 Journal Article %1 lossio-ventura_yet_2014 %A Lossio-Ventura, Juan %A Jonquet, Clement %A Roche, Mathieu %A Teisseire, Maguelonne %D 2014 %K mehrwortbegriffe terminologieextraktion %T Yet another ranking function for automatic multiword term extraction %U http://www.lirmm.fr/~jonquet/publications/documents/Article_PolTAL2014_Lossio.pdf %X Term extraction is an essential task in domain knowledge acquisition. We propose two new measures to extract multiword terms from a domain-specific text. The first measure is both linguistic and sta- tistical based. The second measure is graph-based, allowing assessment of the importance of a multiword term of a domain. Existing measures often solve some problems related (but not completely) to term extrac- tion, e.g., noise, silence, low frequency, large-corpora, complexity of the multiword term extraction process. Instead, we focus on managing the entire set of problems, e.g., detecting rare terms and overcoming the low frequency issue. We show that the two proposed measures outperform precision results previously reported for automatic multiword extraction by comparing them with the state-of-the-art reference measures.

@article{lossio-ventura_yet_2014, abstract = {Term extraction is an essential task in domain knowledge acquisition. We propose two new measures to extract multiword terms from a domain-specific text. The first measure is both linguistic and sta- tistical based. The second measure is graph-based, allowing assessment of the importance of a multiword term of a domain. Existing measures often solve some problems related (but not completely) to term extrac- tion, e.g., noise, silence, low frequency, large-corpora, complexity of the multiword term extraction process. Instead, we focus on managing the entire set of problems, e.g., detecting rare terms and overcoming the low frequency issue. We show that the two proposed measures outperform precision results previously reported for automatic multiword extraction by comparing them with the state-of-the-art reference measures.}, added-at = {2018-11-04T17:02:36.000+0100}, author = {Lossio-Ventura, Juan and Jonquet, Clement and Roche, Mathieu and Teisseire, Maguelonne}, biburl = {https://www.bibsonomy.org/bibtex/2026799f12b8d5fe9ab2638afd5239ef8/lepsky}, interhash = {666f5ba556721eb2f29c0453bb82a308}, intrahash = {026799f12b8d5fe9ab2638afd5239ef8}, keywords = {mehrwortbegriffe terminologieextraktion}, timestamp = {2018-11-04T17:02:36.000+0100}, title = {Yet another ranking function for automatic multiword term extraction}, url = {http://www.lirmm.fr/~jonquet/publications/documents/Article_PolTAL2014_Lossio.pdf}, year = 2014 }