Neural sequence-to-sequence models have proven to be accurate and robust for many
sequence prediction tasks, and have become the standard approach for automatic …

Question-answering systems are recognized as popular and frequently effective means of
information seeking on the web. In such systems, information seekers can receive a concise …

In recent years, the need for community technical question-answering sites has increased
significantly. However, it is often expensive for human experts to provide timely and helpful …

Answering non-factoid questions, especially why-questions, poses a challenge for
traditional question answering systems (QASs) that are predominantly designed for fact …

Neural networks models have gained unprecedented popularity in natural language
processing due to their state-of-the-art performance and the flexible end-to-end training …

As NLP systems are increasingly deployed at scale, concerns about their potential negative
impacts have attracted the attention of the research community, yet discussions of risk have …

We present an approach to non-factoid answer selection with a separate component based
on BiLSTM to determine the importance of segments in the input. In contrast to other recently …

Open-domain question answering (OpenQA) is an essential but challenging task in natural
language processing that aims to answer questions in natural language formats on the basis …

Question answering (QA) extracting answers from text to the given question in natural
language, has been actively studied and existing models have shown a promise of …

Conventional attention visualization tools compromise either the readability or the
information conveyed when documents are lengthy, especially when these documents have …