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Miloslav Konopík
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2020 – today
- 2024
- [i8]Ondrej Prazák, Miloslav Konopík:
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD. CoRR abs/2408.16893 (2024) - [i7]Michal Novák, Sárka Dohnalová, Miloslav Konopík, Anna Nedoluzhko, Martin Popel, Ondrej Prazák, Jakub Sido, Milan Straka, Zdenek Zabokrtský, Daniel Zeman:
Findings of the Third Shared Task on Multilingual Coreference Resolution. CoRR abs/2410.15949 (2024) - 2023
- [c26]Jan Pasek, Jakub Sido, Miloslav Konopík, Ondrej Prazák:
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain. RANLP 2023: 824-835 - [e2]Kamil Ekstein
, Frantisek Pártl
Text, Speech, and Dialogue - 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4-6, 2023, Proceedings. Lecture Notes in Computer Science 14102, Springer 2023, ISBN 978-3-031-40497-9 [contents] - 2022
- [c25]Vojtech Barticka
Evaluating Attribution Methods for Explainable NLP with Transformers. TSD 2022: 3-15 - [i6]Jan Pasek, Jakub Sido, Miloslav Konopík, Ondrej Prazák:
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain. CoRR abs/2203.14093 (2022) - [i5]Zdenek Zabokrtský
Findings of the Shared Task on Multilingual Coreference Resolution. CoRR abs/2209.07841 (2022) - [i4]Ondrej Prazák, Miloslav Konopík:
End-to-end Multilingual Coreference Resolution with Mention Head Prediction. CoRR abs/2209.12516 (2022) - 2021
- [c24]Alzbeta Krausová, Miloslav Konopík, Ondrej Prazák, Jakub Sido, Veronika Zolnercíková, Václav Moravec, Jaromír Volek:
Socially Responsible Virtual Assistant for Privacy Protection: Implementing Trustworthy AI. XAILA@ICAIL 2021 - [c23]Ondrej Prazák, Miloslav Konopík, Jakub Sido:
Multilingual Coreference Resolution with Harmonized Annotations. RANLP 2021: 1119-1123 - [c22]Jakub Sido, Ondrej Prazák, Pavel Pribán, Jan Pasek, Michal Seják, Miloslav Konopík:
Czert - Czech BERT-like Model for Language Representation. RANLP 2021: 1326-1338 - [c21]Jakub Sido
On Injecting Entropy-Like Features into Deep Neural Networks for Content Relevance Assessment. TPNC 2021: 59-68 - [e1]Kamil Ekstein, Frantisek Pártl, Miloslav Konopík:
Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6-9, 2021, Proceedings. Lecture Notes in Computer Science 12848, Springer 2021, ISBN 978-3-030-83526-2 [contents] - [i3]Jakub Sido, Ondrej Prazák, Pavel Pribán
Czert - Czech BERT-like Model for Language Representation. CoRR abs/2103.13031 (2021) - [i2]Ondrej Prazák, Miloslav Konopík, Jakub Sido:
Multilingual Coreference Resolution with Harmonized Annotations. CoRR abs/2107.12088 (2021) - [i1]Jakub Sido, Michal Seják, Ondrej Prazák, Miloslav Konopík, Václav Moravec:
Czech News Dataset for Semantic Textual Similarity. CoRR abs/2108.08708 (2021)
2010 – 2019
- 2019
- [j6]Jakub Sido, Miloslav Konopík, Ondrej Prazák:
English Dataset for Automatic Forum Extraction. Computación y Sistemas 23(3) (2019) - [c20]Ondrej Prazák, Miloslav Konopík:
ULSAna: Universal Language Semantic Analyzer. RANLP 2019: 967-972 - [c19]Jakub Sido, Miloslav Konopík:
Curriculum Learning in Sentiment Analysis. SPECOM 2019: 444-450 - 2018
- [c18]Miloslav Konopík, Ondrej Prazák:
LDA in Character-LSTM-CRF Named Entity Recognition. TSD 2018: 58-66 - 2017
- [c17]Miloslav Konopík, Ondrej Prazák, David Steinberger:
Czech Dataset for Semantic Similarity and Relatedness. RANLP 2017: 401-406 - [c16]Ondrej Prazák, Miloslav Konopík:
Cross-Lingual SRL Based upon Universal Dependencies. RANLP 2017: 592-600 - 2016
- [c15]Miloslav Konopík, Ondrej Prazák, David Steinberger, Tomás Brychcín:
UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks. SemEval@NAACL-HLT 2016: 803-808 - 2015
- [j5]Tomás Brychcín
Latent semantics in language models. Comput. Speech Lang. 33(1): 88-108 (2015) - [j4]Michal Konkol
Latent semantics in Named Entity Recognition. Expert Syst. Appl. 42(7): 3470-3479 (2015) - [j3]Tomás Brychcín
HPS: High precision stemmer. Inf. Process. Manag. 51(1): 68-91 (2015) - [c14]Miloslav Konopík, Ondrej Prazák:
Information Sources of Word Semantics Methods. SPECOM 2015: 243-250 - [c13]Michal Konkol
Segment Representations in Named Entity Recognition. TSD 2015: 61-70 - 2014
- [j2]Tomás Brychcín
Semantic spaces for improving language modeling. Comput. Speech Lang. 28(1): 192-209 (2014) - [c12]Michal Konkol
Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches. TSD 2014: 267-274 - 2013
- [j1]Ivan Habernal, Miloslav Konopík:
SWSNL: Semantic Web Search Using Natural Language. Expert Syst. Appl. 40(9): 3649-3664 (2013) - [c11]Michal Konkol
CRF-Based Czech Named Entity Recognizer and Consolidation of Czech NER Research. TSD 2013: 153-160 - 2011
- [c10]Lubomír Krcmár, Miloslav Konopík, Karel Jezek:
Exploration of Semantic Spaces Obtained from Czech Corpora. DATESO 2011: 97-107 - [c9]Tomás Brychcín
Morphological based language models for inflectional languages. IDAACS (2) 2011: 560-563 - [c8]Michal Konkol
Maximum Entropy Named Entity Recognition for Czech Language. TSD 2011: 203-210 - 2010
- [c7]Ivan Habernal, Miloslav Konopík:
Hybrid Semantic Analysis System - ATIS Data Evaluation. ADMA (2) 2010: 376-386 - [c6]Miloslav Konopík, Ondrej Rohlík:
Question Answering for Not Yet Semantic Web. TSD 2010: 125-132
2000 – 2009
- 2009
- [c5]Ivan Habernal, Miloslav Konopík:
Semantic Annotation for the LingvoSemantics Project. TSD 2009: 299-306 - [c4]Miloslav Konopík, Ivan Habernal:
Hybrid Semantic Analysis. TSD 2009: 307-314 - 2008
- [c3]Ivan Habernal, Miloslav Konopík:
Active Tags for Semantic Analysis. TSD 2008: 69-76 - 2007
- [c2]Ivan Habernal, Miloslav Konopík:
JAAE: the java abstract annotation editor. INTERSPEECH 2007: 1298-1301 - 2005
- [c1]Miloslav Konopík, Roman Moucek:
An Alternative Way of Semantic Interpretation. TSD 2005: 348-355
Coauthor Index
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last updated on 2024-11-27 20:29 CET by the dblp team
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