eprintid: 3441 rev_number: 7 eprint_status: archive userid: 370 dir: disk0/00/00/34/41 datestamp: 2019-06-03 04:16:58 lastmod: 2019-06-03 04:16:58 status_changed: 2019-06-03 04:16:58 type: conference_item succeeds: 3321 metadata_visibility: show creators_name: Can, Duy Cat creators_name: Le, Hoang Quynh creators_name: Ha, Quang Thuy creators_id: catcd@vnu.edu.vn creators_id: lhquynh@vnu.edu.vn creators_id: thuyhq@vnu.edu.vn title: Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path ispublished: pub subjects: IT divisions: fac_fit abstract: Experimental performance on the task of relation extraction/classification has generally improved using deep neural network architectures. In which, data representation has been proven to be one of the most influential factors to the model's performance but still has many limitations. In this work, we take advantage of compressed information in the shortest dependency path (SDP) between two corresponding entities to classify the relation between them. We propose (i) a compositional embedding that combines several dominant linguistic as well as architectural features and (ii) dependency tree normalization techniques for generating rich representations for both words and dependency relations in the SDP. We also present a Convolutional Neural Network (CNN) model to process the proposed SDP enriched representation. Experimental results for both general and biomedical data demonstrate the effectiveness of compositional embedding, dependency tree normalization technique as well as the suitability of the CNN model. date: 2019-04-08 date_type: published official_url: https://link.springer.com/chapter/10.1007/978-3-030-14799-0_12 contact_email: catcd@vnu.edu.vn full_text_status: restricted pres_type: paper pagerange: 140-152 event_title: 2019 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS) event_location: Yogyakarta, Indonesia event_dates: 8-11 April 2019 event_type: conference refereed: TRUE citation: Can, Duy Cat and Le, Hoang Quynh and Ha, Quang Thuy (2019) Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path. In: 2019 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 8-11 April 2019, Yogyakarta, Indonesia. document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3441/1/ACIIDS2019__Improving_Semantic_Relation_Extraction_System_with_Compositional_Dependency_Unit_on_Diverse_Shortest_Dependency_Path.pdf document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3441/2/ACIIDS2019__Improving_Semantic_Relation_Extraction_System_with_Compositional_Dependency_Unit_on_Enriched_Shortest_Dependency_Path.pdf