most citedUsing Argument-based Features to Predict and Analyse Review Helpfulness

5 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective

Yinghuan Shi, Wanqi Yang, Kim-Han Thung +5

In this paper, we study a novel problem: "automatic prescription recommendation for PD patients." To realize this goal, we first build a dataset by collecting 1) symptoms of PD pat…

cs.CL2017★ 5 cited

Using Argument-based Features to Predict and Analyse Review Helpfulness

Haijing Liu, Yang Gao, Pin Lv +4

We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in pro…

cs.CL2017★ 1 cited

Joint RNN Model for Argument Component Boundary Detection

Minglan Li, Yang Gao, Hui Wen +3

Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is…

cs.CL2017★ 3 cited

Crowdsourcing Argumentation Structures in Chinese Hotel Reviews

Mengxue Li, Shiqiang Geng, Yang Gao +2

Argumentation mining aims at automatically extracting the premises-claim discourse structures in natural language texts. There is a great demand for argumentation corpora for custo…

cs.CL2017★ 2 cited

Reinforcement Learning Based Argument Component Detection

Yang Gao, Hao Wang, Chen Zhang +1

Argument component detection (ACD) is an important sub-task in argumentation mining. ACD aims at detecting and classifying different argument components in natural language texts.…