The main task we address in our research is classification of text using fine-grained attitude labels. The developed@AM system relies on the compositionality principle and a novel approach based on the rules elaborated for semantically distinct verb classes. The evaluation of our method on 1000 sentences, that describe personal experiences, showed promising results: average accuracy on the fine grained level (14 labels) was 62%, on the middle level (7 labels) - 71%, and on the top level (3 labels) - 88%.
|ホスト出版物のタイトル||Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference|
|出版ステータス||Published - 2010|
|イベント||23rd International Conference on Computational Linguistics, Coling 2010 - Beijing|
継続期間: 2010 8 23 → 2010 8 27
|Other||23rd International Conference on Computational Linguistics, Coling 2010|
|Period||10/8/23 → 10/8/27|
ASJC Scopus subject areas