One of the major challenges for automated question answering over Knowledge Bases
(KBQA) is translating a natural language question to the Knowledge Base (KB) entities and …

Abstract Community Question-Answering sites (eg, Yahoo! Answers) have become large-
scale knowledge bases of natural language questions formulated by their own members. In …

Community question answering (cQA) platforms, like Yahoo! Answers, provide standard
search APIs to browse past questions and answers. Since, the largest cQA services maintain …

Abstract Community Question-Answering platforms are massive knowledge bases of
questions and answers pairs produced by their members. In other to provide a vibrant …

In order to keep their vibrancy, community question-answering platforms need to link,
especially open, questions with members, who might be interested in answering or in …

Abstract Community Question Answering (cQA) services encourage their members to ask
any kind of question, which later on can get multiple answers from other community fellows …

A rapidly increasing number of users in community question answering has led to an
explosive growth of answers. Thus, it is becoming increasingly more difficult to browse all …

Automatic relation extraction (E) for types of interest is of great importance for interpreting
massive text corpora in an efficient manner. For example, we want to identify the …

This chapter studies the KBQA models enhanced with textual data. These models benefit
from both KG and text for answering the questions. We have studied the QA models which …

Abstract Knowledge bases (KBs), which store millions of facts about the world, have been
widely applied to a broad range of applications such as semantic search and question …