Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Text summarization is compress the source text into a diminished version conserving its
information content and overall meaning. Because of the great amount of the information we …

Information Overload\rq is not a new term but with the massive development in technology
which enables anytime, anywhere, easy and unlimited access; participation\& publishing of …

Text summarization can be classified into two approaches: extraction and abstraction. This
paper focuses on extraction approach. The goal of text summarization based on extraction …

Every day we are surrounded by spoken dialog. This medium delivers rich diverse streams
of information auditorily; however, systematically understanding dialog can often be non …

The scoring mechanism of the text features is the unique way for determining the key ideas
in the text to be presented as text summary. The efficiency of the technique used for scoring …

In today's world as the data on the web is increasing it becomes a challenge to identify the
relevant information. Automatic text summarization (ATS) provides a significant answer to it …

Parallels are drawn between the problems and techniques associated with achieving high
reliability, and those associated with the provision of security, in distributed computing …

Automatic text summarization is a data reduction process to exclude unnecessary details
and present important information in a shorter version. One way to summarize document is …