This research delves into the latest advancements in Natural Language Processing (NLP)
and their broader implications, challenges, and future directions. With the ever-increasing …

Automatic summarization has become an important application recently due to the
increased amount of information available on the Web. Summarization techniques can be …

This paper for the first time investigates using lexical chains as a model of multiple
documents written in Chinese to generate an indicative, moderately fluent summary. The …

The method of lexical chains is the first time introduced to generate summaries from Chinese
texts. The algorithm which computes lexical chains based on the HowNet knowledge …

This paper explores the complex field of text summarization in Natural Language Processing
(NLP), with particular attention to the development and importance of semantic …

Documents formatted in eXtensible Markup Language (XML) are available in collections of
various document types. In this paper, we present an approach for the summarisation of …

This paper presents two different algorithms that derive the cohesion structure in the form of
lexical chains from two kinds of language resources HowNet and TongYiCiCiLin. The …

Purpose–The purpose of this paper is to develop a new summarisation approach, namely
structure‐preserving and query‐biased summarisation, to improve the effectiveness of web …

With the drastic increase of available information sources on the Internet, people with
different backgrounds share the same problem: locating useful information for their actual …

Lexical chain has been widely used in many NLP areas. However, when using it for Web
text summarization, especially for domain-specific text summarization, we got low accuracy …