Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Angelova, Galia"'
Autor:
Hardalov, Momchil, Atanasova, Pepa, Mihaylov, Todor, Angelova, Galia, Simov, Kiril, Osenova, Petya, Stoyanov, Ves, Koychev, Ivan, Nakov, Preslav, Radev, Dragomir
Publikováno v:
ACL 2023
We present bgGLUE(Bulgarian General Language Understanding Evaluation), a benchmark for evaluating language models on Natural Language Understanding (NLU) tasks in Bulgarian. Our benchmark includes NLU tasks targeting a variety of NLP problems (e.g.,
Externí odkaz:
http://arxiv.org/abs/2306.02349
Autor:
Mihaylova, Tsvetomila, Gencheva, Pepa, Boyanov, Martin, Yovcheva, Ivana, Mihaylov, Todor, Hardalov, Momchil, Kiprov, Yasen, Balchev, Daniel, Koychev, Ivan, Nakov, Preslav, Nikolova, Ivelina, Angelova, Galia
Publikováno v:
SemEval-2016
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. We achieved the best results on subtask C, and strong results on subtasks A and B, by combining a rich set of various types of features: semantic
Externí odkaz:
http://arxiv.org/abs/2109.15120
Publikováno v:
AIMSA-2016: The 17th International Conference on Artificial Intelligence: Methodology, Systems, Applications
We present the construction of an annotated corpus of PubMed abstracts reporting about positive, negative or neutral effects of treatments or substances. Our ultimate goal is to annotate one sentence (rationale) for each abstract and to use this reso
Externí odkaz:
http://arxiv.org/abs/1912.01831
Autor:
Angelova, Galia, Osenova, Petya
Publikováno v:
The Bulletin of Symbolic Logic, 2019 Mar 01. 25(1), 128-128.
Externí odkaz:
https://www.jstor.org/stable/26606776
Publikováno v:
Cybernetics and Information Technologies, Vol 15, Iss 4, Pp 92-110 (2015)
Digital Libraries (DL) are offering access to a vast amount of digital content, relevant to practically all domains of human knowledge, which makes it suitable to enhance teaching and learning. Based on a systematic literature review, this article pr
Externí odkaz:
https://doaj.org/article/128666275d6f4822afeef4e28bb28e00
Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care
Publikováno v:
Cybernetics and Information Technologies, Vol 15, Iss 4, Pp 58-77 (2015)
This paper presents the results of an on-going research project for knowledge extraction from large corpora of clinical narratives in Bulgarian language, approximately 100 million of outpatient care notes. Entities with numerical values are mined in
Externí odkaz:
https://doaj.org/article/bc3502d002894981a29d0bc111ad87f1
Publikováno v:
Cybernetics and Information Technologies, Vol 15, Iss 3, Pp 114-126 (2015)
The world is embracing an open education model. The success of this process implies an adequate awareness, an assumption that is inconsistent with recent reports and statistical facts. Despite the major advances in recent years, Open Educational Reso
Externí odkaz:
https://doaj.org/article/eea4b5ede6a24f4ca6877efe314b5c1d
Publikováno v:
Cybernetics and Information Technologies, Vol 14, Iss 4, Pp 80-100 (2015)
Learning is a goal driven social activity determined by motivational factors. To be able to efficiently gamify learning for improved student motivation and engagement, the educators have to understand the related aspects studied in games, motivationa
Externí odkaz:
https://doaj.org/article/12c9fe30e02447a6955f5f23fa4707cd
This paper presents briefly the national strategic document “Concept for the Development of Artificial Intelligence (AI) in Bulgaria until 2030” with a focus on the aspects related to STEM: education, research, data processing, applications of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9626::44d8732dcce07fc7ec4b5f16452837c4
https://smb.math.bas.bg/mem/index.php/memjournal/article/view/8
https://smb.math.bas.bg/mem/index.php/memjournal/article/view/8
Autor:
Vassileva, Sylvia, Todorova, Gergana, Ivanova, Kristina, Velichkov, Boris, Koychev, Ivan, Angelova, Galia, Boytcheva, Svetla
Vast amounts of data in healthcare are available in unstructured text format, usually in the local language of the countries. These documents contain valuable information. Secondary use of clinical narratives and information extraction of key facts a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54b78ac7b65c945d50d4fca9db499f44