eprintid: 1610
rev_number: 9
eprint_status: archive
userid: 21
dir: disk0/00/00/16/10
datestamp: 2016-06-01 13:31:43
lastmod: 2016-06-01 13:31:43
status_changed: 2016-06-01 13:31:43
type: conference_item
metadata_visibility: show
creators_name: Le, Hoang Quynh
creators_name: Tran, Mai Vu
creators_name: Dang, Thanh Hai
creators_name: Nigel, Collier
creators_id: vutm@vnu.edu.vn
title: The UET-CAM System in the BioCreAtIvE V CDR Task
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: In this paper, we describe a system developed for the BioCreative Vchemical-disease relation (CDR) task. The Disease Named Entity Recognition and Normalization (DNER) model employs joint learning using a perceptronbased
named entity recognizer (NER) and a back-off model for named entity normalization (NEN). In order to maximize both precision and recall, our NEN adopts a sequential back-off ensemble approach based on Semantic Supervised
Indexing (SSI) - a supervised Word Embedding (WE) method- giving results by inference from training data, and Skip-gram - an unsupervised WE methodtaking advantage of large unlabeled data. In the Chemical-induced diseases relation
extraction (CID) model, we firstly resolve co-references by using a multipass sieve to identify cross-sentence references for entities, thus enabling intrasentence
relations to be discovered more easily. Following this we extract CID relations using a support vector machine model trained on supervised sentence data from the CDR training and development dataset. We evaluated our method
on both the DNER test set and the CID test set. Results show an F1 of 76.44 for the DNER tas
date: 2015
date_type: published
full_text_status: none
pres_type: paper
pagerange: 208-214
event_title: 2015: the 5th BioCreative challenge evaluation workshop
event_location: Sevilla, Spain
event_dates: 2015
event_type: conference
refereed: TRUE
citation:   Le, Hoang Quynh and Tran, Mai Vu and Dang, Thanh Hai and Nigel, Collier  (2015) The UET-CAM System in the BioCreAtIvE V CDR Task.  In: 2015: the 5th BioCreative challenge evaluation workshop, 2015, Sevilla, Spain.