We propose a robust answer reranking model for non-factoid questions that integrates
lexical semantics with discourse information, driven by two representations of discourse: a …

Job‐resume matching (JRM) is the core of online recruitment services for predicting the
matching degree between a job post and a resume. Most of the existing methods for JRM …

Why-question answering (why-QA) is a task to retrieve answers (or answer passages) to
why-questions (eg," why are tsunamis generated?") from a text archive. Several previously …

We propose a semi-supervised learning method for improving why-question answering (why-
QA). The key of our method is to generate training data (question-answer pairs) from causal …

This paper aims to solve the problem of improving the ranking of answer candidates for
factoid based questions in a state-of-the-art Question Answering system. We first provide an …

Community question answering (CQA) sites use a collaborative paradigm to satisfy complex
information needs. Although the task of matching questions to their best answers has been …

Abstract This paper explores Natural Language Generation within the context of Question-
Answering task. The several works addressing this task only focused on generating a short …

Question answering systems retrieve information from documents in response to queries.
Most of the questions are who-and what-type questions that deal with named entities. A less …

Question-oriented text retrieval, aka natural language-based text retrieval, has been widely
used in software engineering. Earlier work has concluded that questions with the same …

Question Answering System (QAS) aims at providing the most appropriate answer to the
user's question asked in any natural language. It emerged as a future of web search that …