Special Thematic Section on Semantic Models for Natural Language Processing (Preface)

Simov Kiril; Osenova Petya

doi:10.2478/cait-2018-0008

Special Thematic Section on Semantic Models for Natural Language Processing (Preface)

Simov Kiril (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113Sofia, Bulgaria) Osenova Petya (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113Sofia, Bulgaria)

Journal: Cybernetics and Information Technologies • 2018-03-01 • Sciendo • ISSN: 1314-4081

Abstract

With the availability of large language data online, cross-linked lexical resources (such as BabelNet, Predicate Matrix and UBY) and semantically annotated corpora (SemCor, OntoNotes, etc.), more and more applications in Natural Language Processing (NLP) have started to exploit various semantic models. The semantic models have been created on the base of LSA, clustering, word embeddings, deep learning, neural networks, etc., and abstract logical forms, such as Minimal Recursion Semantics (MRS) or Abstract Meaning Representation (AMR), etc.

Subjects & Keywords

# Cybernetics

How to Cite this Article

                    Simov Kiril, Osenova Petya (2018). "Special Thematic Section on Semantic Models for Natural Language Processing (Preface)". Cybernetics and Information Technologies. https://doi.org/10.2478/cait-2018-0008                

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DOI: 10.2478/cait-2018-0008 ↗
Primary Index: DOAJ