Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

Nonfactoid question answering (QA) is one of the most extensive yet challenging
applications and research areas in natural language processing (NLP). Existing methods fall …

Nowadays abundant amount of information is available on Internet which makes it difficult
for the users to locate desired information. Automatic methods are needed to efficiently sieve …

Considering the widespread use of mobile and voice search, answer passage retrieval for
non-factoid questions plays a critical role in modern information retrieval systems. Despite …

The minimum dominating set (MDS) of the network is a node subset of smallest size that
every node in the network is either in this subset or is adjacent to one or more nodes of this …

Question-driven summarization has been recently studied as an effective approach to
summarizing the source document to produce concise but informative answers for non …

\beginabstract We analyze comparative questions, ie, questions asking to compare different
items, that were submitted to Yandex in 2012. Responses to such questions might be quite …

Text summarization on non-factoid question answering (NQA) aims at identifying the core
information of redundant answer guidance using questions, which can dramatically improve …

In today's world, the availability of information in the form of unstructured data is in
abundance. The unstructured information received is more often than not in the form of …