30 citations · 81 across the 6 of their papers we have counts for
7 papers
Learning Neural Textual Representations for Citation Recommendation
Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham +2
With the rapid growth of the scientific literature, manually selecting appropriate citations for a paper is becoming increasingly challenging and time-consuming. While several appr…
A Vietnamese Question Answering System
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
Question answering systems aim to produce exact answers to users' questions instead of a list of related documents as used by current search engines. In this paper, we propose an o…
A Vietnamese Text-Based Conversational Agent
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question a…
A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham +1
Search engines have become an indispensable tool for browsing information on the Internet. The user, however, is often annoyed by redundant results from irrelevant Web pages. One r…
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts
Thi Lan Ngo, Khac Linh Pham, Minh Son Cao +2
Dialog act identification plays an important role in understanding conversations. It has been widely applied in many fields such as dialogue systems, automatic machine translation,…
Ripple Down Rules for Question Answering
Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham
Recent years have witnessed a new trend of building ontology-based question answering systems. These systems use semantic web information to produce more precise answers to users'…
A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging
Dat Quoc Nguyen, Dai Quoc Nguyen, Dang Duc Pham +1
In this paper, we propose a new approach to construct a system of transformation rules for the Part-of-Speech (POS) tagging task. Our approach is based on an incremental knowledge…