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Results 11 - 20
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72,826
Finding Expert Users in Community Question Answering
"... Community Question Answering (CQA) websites provide a rapidly growing source of information in many areas. This rapid growth, while offering new opportunities, puts forward new challenges. In most CQA implementations there is little effort in directing new questions to the right group of experts. Th ..."
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Cited by 9 (0 self)
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Community Question Answering (CQA) websites provide a rapidly growing source of information in many areas. This rapid growth, while offering new opportunities, puts forward new challenges. In most CQA implementations there is little effort in directing new questions to the right group of experts
Understanding User Intent in Community Question Answering
"... Community Question Answering (CQA) services, such as Yahoo! Answers, are specifically designed to address the innate limitation of Web search engines by helping users obtain information from a community. Understanding the user intent of questions would enable a CQA system identify similar questions, ..."
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Cited by 6 (1 self)
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Community Question Answering (CQA) services, such as Yahoo! Answers, are specifically designed to address the innate limitation of Web search engines by helping users obtain information from a community. Understanding the user intent of questions would enable a CQA system identify similar questions
Vote Calibration in Community Question-Answering Systems ∗ ABSTRACT
"... User votes are important signals in community question-answering (CQA) systems. Many features of typical CQA systems, e.g. the best answer to a question, status of a user, are dependent on ratings or votes cast by the community. In a popular CQA site, Yahoo! Answers, users vote for the best answers ..."
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Cited by 3 (1 self)
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User votes are important signals in community question-answering (CQA) systems. Many features of typical CQA systems, e.g. the best answer to a question, status of a user, are dependent on ratings or votes cast by the community. In a popular CQA site, Yahoo! Answers, users vote for the best answers
A Community Question-Answering Refinement System
"... Community Question Answering (CQA) websites, which archive millions of questions and answers created by CQA users to provide a rich resource of information that is missing at web search engines and QA websites, have become increasingly popular. Web users who search for answers to their questions at ..."
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Cited by 2 (0 self)
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Community Question Answering (CQA) websites, which archive millions of questions and answers created by CQA users to provide a rich resource of information that is missing at web search engines and QA websites, have become increasingly popular. Web users who search for answers to their questions
Predicting information seeker satisfaction in community question answering
- In Proceedings of SIGIR
, 2008
"... Question answering communities such as Naver and Yahoo! Answers have emerged as popular, and often effective, means of information seeking on the web. By posting questions for other participants to answer, information seekers can obtain specific answers to their questions. Users of popular portals s ..."
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Cited by 57 (4 self)
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Question answering communities such as Naver and Yahoo! Answers have emerged as popular, and often effective, means of information seeking on the web. By posting questions for other participants to answer, information seekers can obtain specific answers to their questions. Users of popular portals
JAIST: Combining multiple features for answer selection in community question answering
- In Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval ’15
, 2015
"... In this paper, we describe our system for SemEval-2015 Task 3: Answer Selection in Community Question Answering. In this task, the systems are required to identify the good or potentially good answers from the answer thread in Community Question Answering collections. Our system combines 16 features ..."
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Cited by 2 (0 self)
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In this paper, we describe our system for SemEval-2015 Task 3: Answer Selection in Community Question Answering. In this task, the systems are required to identify the good or potentially good answers from the answer thread in Community Question Answering collections. Our system combines 16
The Social World of Content Abusers in Community Question Answering
"... Community-based question answering platforms can be rich sources of information on a variety of specialized topics, from finance to cooking. The usefulness of such platforms depends heavily on user contributions (questions and answers), but also on respecting the community rules. As a crowd-sourced ..."
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Community-based question answering platforms can be rich sources of information on a variety of specialized topics, from finance to cooking. The usefulness of such platforms depends heavily on user contributions (questions and answers), but also on respecting the community rules. As a crowd
Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach
"... Abstract The task of answer selection in community question answering consists of identifying pertinent answers from a pool of user-generated comments related to a question. The recent SemEval-2015 introduced a shared task on community question answering, providing a corpus and evaluation scheme. I ..."
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Abstract The task of answer selection in community question answering consists of identifying pertinent answers from a pool of user-generated comments related to a question. The recent SemEval-2015 introduced a shared task on community question answering, providing a corpus and evaluation scheme
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task
"... This paper describes our approach for the Community Question Answering Task, which was presented at the SemEval 2015. The sys-tem should read a given question and identify good, potentially relevant, and bad answers for that question. Our approach transforms the answers of the training set into a gr ..."
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This paper describes our approach for the Community Question Answering Task, which was presented at the SemEval 2015. The sys-tem should read a given question and identify good, potentially relevant, and bad answers for that question. Our approach transforms the answers of the training set into a
QCRI: Answer Selection for Community Question Answering – Experiments for Arabic and English
"... This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which tar-geted real-life Web forums, and was offered in both Arabic and English. We apply a super-vised machine learning approach considering a manifold of features including among o ..."
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This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which tar-geted real-life Web forums, and was offered in both Arabic and English. We apply a super-vised machine learning approach considering a manifold of features including among
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72,826
