Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
72,826
Selection in Community Question Answering
"... This paper reports the description and perfor-mance of our system, FBK-HLT, participating in the SemEval 2015, Task #3 "Answer Se-lection in Community Question Answering" for English, for both subtasks. We submit two runs with different classifiers in combining typ-ical features (lexical s ..."
Abstract
- Add to MetaCart
This paper reports the description and perfor-mance of our system, FBK-HLT, participating in the SemEval 2015, Task #3 "Answer Se-lection in Community Question Answering" for English, for both subtasks. We submit two runs with different classifiers in combining typ-ical features (lexical
in Community Question Answering
"... This paper describes the participation of the HITSZ-ICRC team on the Answer Selection Challenge in SemEval-2015. Our team parti-cipated in English subtask A, English subtask B and Arabic task. Two approaches, ensemble learning and hierarchical classification were proposed for answer selection in eac ..."
Abstract
- Add to MetaCart
This paper describes the participation of the HITSZ-ICRC team on the Answer Selection Challenge in SemEval-2015. Our team parti-cipated in English subtask A, English subtask B and Arabic task. Two approaches, ensemble learning and hierarchical classification were proposed for answer selection
Community Question Answering
"... An increasingly popular method for finding information online is via the ..."
Modeling Community Question-Answering Archives
"... Community Question Answering (CQA) services contain large archives of previously asked questions and their answers. We present a statistical topic model for modeling Question-Answering archives. The model explicitly captures relationships between questions and their answers by modeling topical depen ..."
Abstract
- Add to MetaCart
Community Question Answering (CQA) services contain large archives of previously asked questions and their answers. We present a statistical topic model for modeling Question-Answering archives. The model explicitly captures relationships between questions and their answers by modeling topical
Advanced Community Question Answering Sites with Multimedia Answers
"... There are many question answer sites are available now a days. Community question answering sites are efficient when compare with the automate question answering sites. The drawback of available community question answering system is that it can only provide textual answer. In this paper, we propose ..."
Abstract
- Add to MetaCart
There are many question answer sites are available now a days. Community question answering sites are efficient when compare with the automate question answering sites. The drawback of available community question answering system is that it can only provide textual answer. In this paper, we
Detecting spammers in community question answering
- In Proceeding of International Joint Conference on Natural Language Processing
, 2013
"... As the popularity of Community Ques-tion Answering(CQA) increases, spam-ming activities also picked up in number-s and variety. On CQA sites, spammers often pretend to ask questions, and selec-t answers which were published by their partners or themselves as the best answers. These fake best answers ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
As the popularity of Community Ques-tion Answering(CQA) increases, spam-ming activities also picked up in number-s and variety. On CQA sites, spammers often pretend to ask questions, and selec-t answers which were published by their partners or themselves as the best answers. These fake best
Routing Questions for Collaborative Answering in Community Question Answering
, 2013
"... Community Question Answering (CQA) service enables its users to exchange knowledge in the form of questions and answers. By allowing the users to contribute knowledge, CQA not only satisfies the question askers but also provides valuable references to other users with similar queries. Due to a larg ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
Community Question Answering (CQA) service enables its users to exchange knowledge in the form of questions and answers. By allowing the users to contribute knowledge, CQA not only satisfies the question askers but also provides valuable references to other users with similar queries. Due to a
Question Difficulty Estimation in Community Question Answering Services
, 2013
"... In this paper, we address the problem of estimating question difficulty in community question answering services. We propose a competition-based model for estimating question difficulty by leveraging pairwise comparisons between questions and users. Our experimental results show that our model signi ..."
Abstract
-
Cited by 3 (1 self)
- Add to MetaCart
In this paper, we address the problem of estimating question difficulty in community question answering services. We propose a competition-based model for estimating question difficulty by leveraging pairwise comparisons between questions and users. Our experimental results show that our model
Characterizing Health-Related Community Question Answering
- In Advances in Information Retrieval
, 2013
"... Abstract. Our ongoing project is aimed at improving information access to nar-row-domain collections of questions and answers. This poster demonstrates how out-of-the-box tools and domain dictionaries can be applied to community question answering (CQA) content in health domain. This approach can be ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
Abstract. Our ongoing project is aimed at improving information access to nar-row-domain collections of questions and answers. This poster demonstrates how out-of-the-box tools and domain dictionaries can be applied to community question answering (CQA) content in health domain. This approach can
Early Detection of Topical Expertise in Community Question Answering
"... ABSTRACT We focus on detecting potential topical experts in community question answering platforms early on in their lifecycle. We use a semisupervised machine learning approach. We extract three types of feature: (i) textual, (ii) behavioral, and (iii) time-aware, which we use to predict whether a ..."
Abstract
- Add to MetaCart
ABSTRACT We focus on detecting potential topical experts in community question answering platforms early on in their lifecycle. We use a semisupervised machine learning approach. We extract three types of feature: (i) textual, (ii) behavioral, and (iii) time-aware, which we use to predict whether
Results 1 - 10
of
72,826
