This article provides a comprehensive survey of contemporary language modeling
approaches within the realm of natural language processing (NLP) tasks. This paper …

Distances derived from word embeddings can measure a range of gradational relations—
similarity, hierarchy, entailment, and stereotype—and can be used at the document-and …

Text classification is the process of determining categories or tags of a document depending
on its content. Although text classification is a well‐known process, it has many steps that …

Taxonomies play an important role in various Natural Language Processing (NLP) tasks (eg,
text classification, information extraction and knowledge inference). However, due to the …

Taxonomic relations play an important role in various Natural Language Processing (NLP)
tasks (eg, information extraction, question answering and knowledge inference). Existing …

This study is an intermediate result of work on the task of automatic taxonomy enrichment by
semantic relations of hyponymy-hypernymy of Turkic languages multilingual thesaurus …

Corpus-driven approaches can automatically explore is-a relations between the word pairs
from corpus. This problem is also called hypernym extraction. Formerly, lexico-syntactic …

Una ontologıa es una representación formal del conocimiento de un conjunto de conceptos
en un dominio y las relaciones entre esos conceptos. Están compuestas por clases o …