eprintid: 3321
rev_number: 9
eprint_status: archive
userid: 370
dir: disk0/00/00/33/21
datestamp: 2018-12-17 06:54:21
lastmod: 2018-12-18 07:00:26
status_changed: 2018-12-17 06:54:21
type: conference_item
metadata_visibility: no_search
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 Diverse Shortest Dependency Path
ispublished: inpress
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 diverse 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
date_type: published
contact_email: catcd@vnu.edu.vn
full_text_status: restricted
pres_type: paper
event_title: 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019)
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 Diverse Shortest Dependency Path.  In: 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019), 8-11 April 2019, Yogyakarta, Indonesia.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3321/1/ACIIDS2019__Improving_Semantic_Relation_Extraction_System_with_Compositional_Dependency_Unit_on_Diverse_Shortest_Dependency_Path.pdf