Although there is much research of text classification based on vector spaces using word
information in the whole text, generally humans can recognize the field by finding the …

This paper presents a strategy for building a morphological machine dictionary of English
that infers meaning of derivations by considering morphological affixes and their semantic …

Resolution of lexical ambiguity, commonly known as Word Sense Disambiguation (WSD)
task is to distinguish the correct sense among the set of senses for an ambiguous term …

With increasing popularity of the Internet and tremendous amount of on-line text, automatic
document classification is important for organizing huge amounts of data. Readers can know …

Field Association (FA) terms are a limited set of discriminating terms that can specify
document fields. Document fields can be decided efficiently if there are many relevant FA …

In this paper, we propose a method for extracting key paragraphs in articles based on the
degree of context dependency. Like Luhn's technique, our method assumes that the words …

In the information retrieval systems, one of the most important and difficult operations is to
extract appropriate keywords from documents. This paper proposes an effective substring …

Resolution of lexical ambiguity, commonly termed``word sense disambiguation'', is expected
to improve the analytical accuracy for tasks which are sensitive to lexical semantics. Such …

This paper studies the effects of the time change on the frequencies of specific terms
connected to the document field in a given period. These specific terms are the field …

In every text, some words have frequency appearance and are considered as keywords
because they have a strong relationship with the subjects of their texts, these words' …