We aim at summarizing answers in community question-answering (CQA). While most
previous work focuses on factoid question-answering, we focus on the non-factoid question …

We formulate a document summarization method to extract passage-level answers for non-
factoid queries, referred to as answer-biased summaries. We propose to use external …

We present a novel answer summarization method for community Question Answering
services (cQAs) to address the problem of “incomplete answer”, ie, the “best answer” of a …

Community Question Answering (CQA) fora such as Stack Overflow and Yahoo! Answers
contain a rich resource of answers to a wide range of community-based questions. Each …

Community question answering (CQA) gains increasing popularity in both academy and
industry recently. However, the redundancy and lengthiness issues of crowdsourced …

This paper presents a novel answer summarization approach for community Question
Answering services (cQAs) to address the problem of “incomplete answer”, ie, missing …

Community-based question answering (cQA) is a popular type of online knowledge-sharing
web service where users ask questions and obtain answers contributed by others. To …

Long-form question answering systems provide rich information by presenting paragraph-
level answers, often containing optional background or auxiliary information. While such …

Non-factoid question answering (QA) is one of the most extensive yet challenging
application and research areas of retrieval-based question answering. In particular, answers …

Answers submitted to CQA forums are often elaborate, contain spam, are marred by slurs
and business promotions. It is difficult for a reader to go through numerous such answers to …