Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Andrei-Marius Avram"'
Autor:
Andrei-Marius Avram, Verginica Barbu Mititelu, Vasile Păiș, Dumitru-Clementin Cercel, Ștefan Trăușan-Matu
Publikováno v:
Mathematics, Vol 11, Iss 11, p 2548 (2023)
Correctly identifying multiword expressions (MWEs) is an important task for most natural language processing systems since their misidentification can result in ambiguity and misunderstanding of the underlying text. In this work, we evaluate the perf
Externí odkaz:
https://doaj.org/article/8d5645591a954ca0af5b7a30c0842878
Autor:
Trăușan-Matu, Andrei-Marius Avram, Verginica Barbu Mititelu, Vasile Păiș, Dumitru-Clementin Cercel, Ștefan
Publikováno v:
Mathematics; Volume 11; Issue 11; Pages: 2548
Correctly identifying multiword expressions (MWEs) is an important task for most natural language processing systems since their misidentification can result in ambiguity and misunderstanding of the underlying text. In this work, we evaluate the perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::be93245c19bdd247aea6e5a83cb4cb3e
Publikováno v:
2022 14th International Conference on Communications (COMM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b178f82d3fc13f5b0575452f7f418d2b
https://doi.org/10.1109/comm54429.2022.9817214
https://doi.org/10.1109/comm54429.2022.9817214
Publikováno v:
SemEval@ACL/IJCNLP
Extracting semantic information on measurements and counts is an important topic in terms of analyzing scientific discourses. The 8th task of SemEval-2021: Counts and Measurements (MeasEval) aimed to boost research in this direction by providing a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49b63e3bd8d365197c725f80fee40fae
http://arxiv.org/abs/2104.04549
http://arxiv.org/abs/2104.04549
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030805982
NLDB
NLDB
Automatic speech to speech translation is known to be highly beneficial in enabling people to directly communicate with each other when they do not share a common language. This work presents a modular system for Romanian to English and English to Ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::586a83ec91f07870ddbbf0965c745fe3
https://doi.org/10.1007/978-3-030-80599-9_6
https://doi.org/10.1007/978-3-030-80599-9_6
Autor:
Maria Mitrofan, Elena Irimia, Radu Ion, Vasile Pais, Verginica Barbu Mititelu, Andrei-Marius Avram
Publikováno v:
SpeD
This paper introduces a new Romanian speech corpus from the ROBIN project, called ROBIN Technical Acquisition Speech Corpus (ROBINTASC). Its main purpose was to improve the behaviour of a conversational agent, allowing human-machine interaction in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0243a5c2d751a4f8ea3fa9ea4ed83ab0
Publikováno v:
RANLP
EuroVoc is a multilingual thesaurus that was built for organizing the legislative documentary of the European Union institutions. It contains thousands of categories at different levels of specificity and its descriptors are targeted by legal texts i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8b0405d857607daccf19c9065b3a907
Publikováno v:
2020 13th International Conference on Communications (COMM).
Generative models are statistical models that learn a true underlying data distribution from samples using unsupervised learning, aiming to generate new data points with some variation. In this paper, we introduce OpenNIG (Open Neural Image Generator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74711ccd9739128593584c1f44346991
https://doi.org/10.1109/comm48946.2020.9142009
https://doi.org/10.1109/comm48946.2020.9142009
Publikováno v:
SemEval@COLING
This work presents our contribution in the context of the 6th task of SemEval-2020: Extracting Definitions from Free Text in Textbooks (DeftEval). This competition consists of three subtasks with different levels of granularity: (1) classification of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::259ad38af06f4cb43676a2043d2f5ddb
Publikováno v:
2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Network Intrusion Detection Systems (NIDS) are a critical component in any security system and their role is to monitor traffic on a network, looking for suspicious activity (e.g. attacks, unauthorized activities). Neural networks have become an incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::164fdcf7bdf30727d1fcfc0d740684d1
https://doi.org/10.1109/ecai46879.2019.9042128
https://doi.org/10.1109/ecai46879.2019.9042128