eprintid: 2692
rev_number: 7
eprint_status: archive
userid: 290
dir: disk0/00/00/26/92
datestamp: 2017-11-27 04:47:48
lastmod: 2017-11-27 04:47:48
status_changed: 2017-11-27 04:47:48
type: conference_item
metadata_visibility: show
creators_name: Ngo, Thi Lan
creators_name: Pham, Khac Linh
creators_name: Hideaki, Takeda
creators_name: Pham, Bao Son
creators_name: Phan, Xuan Hieu
creators_id: sonpb@vnu.edu.vn
creators_id: hieupx@vnu.edu.vn
title: On the Identification of Suggestion Intents from Vietnamese Conversational Texts
ispublished: inpress
subjects: IT
divisions: fac_fit
abstract: Suggestion intents mining from texts is an emerging research topic in recent years. Fully understanding suggestion intents in conversational texts is a complicated process that includes three major stages: user suggestion intents filtering, suggestion domain identification, and arguments extraction of suggestion intents. In the scope of this paper, we study the first phase, that is, building a binary classification model to determine whether a text unit carries suggestion intents or not. We come up with a new text unit to analysis suggestion, that is functional segment. According to the
ISO 24617-2 standard, a functional segment is “minimal stretch of communicative behavior that has one or more communicative functions”. We investigate two approaches to filter functional segment containing suggestion intents: machine learning using maximum entropy (Maxent) model and deep learning using convolutional neural networks (CNN) model. The results of these experiments
on Vietnamese online media texts are very promising. To the best of our knowledge, this is the first study to analyze suggestion at functional segment unit.
date: 2017-12-07
date_type: published
official_url: http://www.soict.org
full_text_status: none
pres_type: paper
event_title: The Eighth International Symposium on Information and Communication Technology (SoICT 2017)
event_location: Nha Trang
event_dates: 7-8 December
event_type: conference
refereed: TRUE
funders: Vietnam National University, Hanoi (VNU)
projects: VNU Project No. QG.16.91
citation:   Ngo, Thi Lan and Pham, Khac Linh and Hideaki, Takeda and Pham, Bao Son and Phan, Xuan Hieu  (2017) On the Identification of Suggestion Intents from Vietnamese Conversational Texts.  In: The Eighth International Symposium on Information and Communication Technology (SoICT 2017), 7-8 December, Nha Trang.    (In Press)