Sciweavers

20 search results - page 1 / 4
» Extracting Chatbot Knowledge from Online Discussion Forums
Sort
View
IJCAI
2007
13 years 5 months ago
Extracting Chatbot Knowledge from Online Discussion Forums
This paper presents a novel approach for extracting high-quality <thread-title, reply> pairs as chat knowledge from online discussion forums so as to efficiently support the...
Jizhou Huang, Ming Zhou, Dan Yang
ACL
2008
13 years 5 months ago
Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums
Online forum discussions often contain vast amounts of questions that are the focuses of discussions. Extracting contexts and answers together with the questions will yield not on...
Shilin Ding, Gao Cong, Chin-Yew Lin, Xiaoyan Zhu
EMNLP
2009
13 years 1 months ago
A Structural Support Vector Method for Extracting Contexts and Answers of Questions from Online Forums
This paper addresses the issue of extracting contexts and answers of questions from post discussion of online forums. We propose a novel and unified model by customizing the struc...
Wen-Yun Yang, Yunbo Cao, Chin-Yew Lin
SIGIR
2011
ACM
12 years 6 months ago
Learning online discussion structures by conditional random fields
Online forum discussions are emerging as valuable information repository, where knowledge is accumulated by the interaction among users, leading to multiple threads with structure...
Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei H...
CE
2005
91views more  CE 2005»
13 years 3 months ago
Using data mining as a strategy for assessing asynchronous discussion forums
The purpose of this paper is to show how data mining may offer promise as a strategy for discovering and building alternative representations for the data underlying asynchronous ...
Laurie P. Dringus, Timothy Ellis