Community Question Answering
Neural Attention for Learning to Rank Questions in Community Question Answering
... Neural Approaches Recent work has shown the effectiveness of neural models for answer selec- tion (Severyn and Moschitti, 2015; Tan et al., 2015; Feng et al., 2015) and question similarity (dos Santos et al., ...
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Effective shared representations with Multitask Learning for Community Question Answering
... An important asset of using Deep Neu- ral Networks (DNNs) for text applica- tions is their ability to automatically engi- neer features. Unfortunately, DNNs usu- ally require a lot of training data, espe- cially for ...
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Global Thread level Inference for Comment Classification in Community Question Answering
... Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly con- sult the opinion of a number of people on a particular topic, ...
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Machine Translation Evaluation Meets Community Question Answering
... Massimo Nicosia, Simone Filice, Alberto Barr´on- Cede˜no, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessan- dro Moschitti, Kareem Darwish, Llu´ıs M`arquez, Shafiq Joty, and Walid Magdy. ...
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User Name Disambiguation in Community Question Answering
... Community question answering sites pro- vide us convenient and interactive plat- forms for problem solving and knowl- edge sharing, which are attracting an in- creasing number of ...query ...
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Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
... Community question answering (cQA) has become an important issue due to the popularity of cQA archives on the ...of question retrieval. Question retrieval in cQA archives aims to find ...
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Name Variation in Community Question Answering Systems
... Community question answering systems are forums where users can ask and answer questions in various ...resolved question to the unanswered ques- tion, from the ...on question categories ...
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Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization
... Community question answering (CQA) has become an increasingly popular re- search ...of question retrieval. Question retrieval in CQA can automatically find the most relevant and recent ...
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Metadata Aware Measures for Answer Summarization in Community Question Answering
... from community Question Answering (cQA) portals with the purpose of gen- erating a trustful, complete, relevant and succinct summary in response to a ques- ...
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Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums
... in community Question Answering as a problem on its own ...a question in the context of a question-answer ...the question, the thread as a whole, and the interaction between ...
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Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models
... Community Question Answering forums are popular among Internet users, and a basic problem they encounter is trying to find out if their question has already been posed ...detect ...
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Thread Level Information for Comment Classification in Community Question Answering
... Massimo Nicosia, Simone Filice, Alberto Barr´on- Cede˜no, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessan- dro Moschitti, Kareem Darwish, Llu´ıs M`arquez, Shafiq Joty, and Walid Magdy. ...
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A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
... Community Question Answering (cQA) deals with difficult tasks, including comment re-ranking and question ...user question, re-rank the comments in order of relevance with respect to the ...
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Question Condensing Networks for Answer Selection in Community Question Answering
... of community question answering ...a question is often represented as two parts: a sub- ject that summarizes the main points of the question, and a body that elaborates on the subject ...
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An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering
... in community question answering (cQA) is dominated by machine learning approaches, whose performance is often limited by the num- ber of training ...on question ranking performance: a method ...
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Answer Selection in Arabic Community Question Answering: A Feature Rich Approach
... Community Question Answering (cQA) platforms have become an important resource of punctual in- formation for users on the ...a question on a specific topic and other users post their answers ...
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A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services
... in community question answering (CQA) ...the question-user comparisons extract- ed from the question answering ...each question only gets a lim- ited number of ...posted ...
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Automated Approaches to Community Question Answering
... years, community Question Answering websites have gained popularity ...any question to a community of ...any question and expect some good, honest ...a community-created ...
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Learning Semantic Relatedness in Community Question Answering Using Neural Models
... Community Question Answering forums, such as Quora and Stackoverflow contain millions of questions and ...new question are Natural Language Processing ...the question-question or ...
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A semantic graph based topic model for question retrieval in community question answering
... Community Question Answering (CQA) services, such as Yahoo! Answers and WikiAnswers, have become popular with users as one of the central paradigms for satisfying users’ information ...of ...
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