{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:06:15Z","timestamp":1760709975642},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>Explicitly exploring the semantics of a relation is significant for high-accuracy relation extraction, which is, however, not fully studied in previous work.\n\tIn this paper, we mine the topic knowledge of a relation to explicitly represent the semantics of this relation, and model relation extraction as a matching problem.\n\tThat is, the matching score between a sentence and a candidate relation is predicted for an entity pair.\n\tTo this end, we propose a deep matching network to precisely model the semantic similarity between a sentence-relation pair.\n\tBesides, the topic knowledge also allows us to derive the importance information of samples as well as two knowledge-guided negative sampling strategies in the training process.\n\tWe conduct extensive experiments to evaluate the proposed framework and observe improvements in AUC of 11.5% and max F1 of 5.4% over the baselines with state-of-the-art performance.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/698","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"5024-5030","source":"Crossref","is-referenced-by-count":8,"title":["Relation Extraction Using Supervision from Topic Knowledge of Relation Labels"],"prefix":"10.24963","author":[{"given":"Haiyun","family":"Jiang","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Li","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University, Shanghai, China"}]},{"given":"Zhe","family":"Xu","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Deqing","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University, Shanghai, China"}]},{"given":"Jindong","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Chenguang","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Jingping","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Jiaqing","family":"Liang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"}]},{"given":"Yanghua","family":"Xiao","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"},{"name":"School of Data Science, Fudan University, Shanghai, China"},{"name":"Shanghai Institute of Intelligent Electronics & Systems, Shanghai, China"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China"},{"name":"Shanghai Institute of Intelligent Electronics & Systems, Shanghai, China"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:51:09Z","timestamp":1564285869000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/698"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/698","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}