Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Normunds Gruzitis"'
Publikováno v:
Computational Linguistics, Vol 46, Iss 2, Pp 425-486 (2020)
syntax is an interlingual representation used in compilers. Grammatical Framework (GF) applies the abstract syntax idea to natural languages. The development of GF started in 1998, first as a tool for controlled language implementations, where it has
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811663086
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93df05865276e85187a6c53c95edd385
https://doi.org/10.1007/978-981-16-6309-3_27
https://doi.org/10.1007/978-981-16-6309-3_27
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783031084720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba6087e0ad1dcc04def66cc27a9408b
https://doi.org/10.1007/978-3-031-08473-7_19
https://doi.org/10.1007/978-3-031-08473-7_19
Publikováno v:
EACL (System Demonstrations)
Today, most dialogue systems are fully or partly built using neural network architectures. A crucial prerequisite for the creation of a goal-oriented neural network dialogue system is a dataset that represents typical dialogue scenarios and includes
Autor:
Karlis Cerans, Arturs Znotins, Uldis Lavrinovics, Sinty K. Mayer, Gunta Nespore-Berzkalne, Janis Barzdins, Edgars Celms, Oskars F. Barzdins, Didzis Gosko, Paulis Barzdins, Intars Students, Peteris Paikens, Guntis Barzdins, Mikus Grasmanis, Arturs Sprogis, Normunds Gruzitis
Publikováno v:
The Semantic Web: ESWC 2020 Satellite Events ISBN: 9783030623265
ESWC (Satellite Events)
ESWC (Satellite Events)
We present a new ontology language Pini and the PiniTree ontology editor supporting it. Despite Pini language bearing lot of similarities with RDF, UML class diagrams, Property Graphs and their frontends like Google Knowledge Graph and Protege, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8f4d17a0ddda707e19c640fc3ec1ce
https://doi.org/10.1007/978-3-030-62327-2_6
https://doi.org/10.1007/978-3-030-62327-2_6
Publikováno v:
ACL SemEval
SemEval@ACL
SemEval@ACL
By addressing both text-to-AMR parsing and AMR-to-text generation, SemEval-2017 Task 9 established AMR as a powerful semantic interlingua. We strengthen the interlingual aspect of AMR by applying the multilingual Grammatical Framework (GF) for AMR-to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e94ced35a194f5109723d5241ed5f44
Publikováno v:
ICSC
Nowadays, most of the data on the Web is still in the form of unstructured text. Knowledge extraction from unstructured text is highly desirable but extremely challenging due to the inherent ambiguity of natural language. In this article, we present
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319417530
NLDB
NLDB
Normative texts are documents based on the deontic notions of obligation, permission, and prohibition. Our goal is model such texts using the C-O Diagram formalism, making them amenable to formal analysis, in particular verifying that a text satisfie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::228beef89284eefad73ba0ded5462e00
https://doi.org/10.1007/978-3-319-41754-7_40
https://doi.org/10.1007/978-3-319-41754-7_40
Autor:
Guntis Barzdins, Normunds Gruzitis
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319414973
In the era of Big Data and Deep Learning, there is a common view that machine learning approaches are the only way to cope with the robust and scalable information extraction and summarization. It has been recently proposed that the CNL approach coul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::689db32642a29f0862e5138dcfe5a47e
https://doi.org/10.1007/978-3-319-41498-0
https://doi.org/10.1007/978-3-319-41498-0
Publikováno v:
iiWAS
The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heter