The Interplay between Lexical Resources and Natural Language Processing

TL;DR

This paper discusses how integrating lexical resources and NLP techniques can enhance AI systems by addressing challenges in knowledge incorporation and resource construction, benefiting both resource developers and NLP researchers.

Contribution

It presents a methodological framework combining NLP methods and lexical resources to improve knowledge integration and resource development in AI/NLP.

Findings

NLP techniques can automate lexical resource enrichment.

Lexical resources enhance NLP system performance.

Methodological approaches facilitate knowledge integration.

Abstract

Incorporating linguistic, world and common sense knowledge into AI/NLP systems is currently an important research area, with several open problems and challenges. At the same time, processing and storing this knowledge in lexical resources is not a straightforward task. This tutorial proposes to address these complementary goals from two methodological perspectives: the use of NLP methods to help the process of constructing and enriching lexical resources and the use of lexical resources for improving NLP applications. Two main types of audience can benefit from this tutorial: those working on language resources who are interested in becoming acquainted with automatic NLP techniques, with the end goal of speeding and/or easing up the process of resource curation; and on the other hand, researchers in NLP who would like to benefit from the knowledge of lexical resources to improve their systems and models. The slides of the tutorial are available at https://bitbucket.org/luisespinosa/lr-nlp/