DOAJ Open Access 2018

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

Simov Kiril Osenova Petya

Abstrak

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.

Topik & Kata Kunci

Cybernetics

Penulis (2)

Simov Kiril

Osenova Petya

Format Sitasi

APA MLA BibTeX

Kiril, S., Petya, O. (2018). Special Thematic Section on Semantic Models for Natural Language Processing (Preface). https://doi.org/10.2478/cait-2018-0008

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Informasi Jurnal

Tahun Terbit: 2018
Sumber Database: DOAJ
DOI: 10.2478/cait-2018-0008
Akses: Open Access ✓