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David Marecek
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2020 – today
- 2024
- [c51]Tomás Musil, David Marecek:
Exploring Interpretability of Independent Components of Word Embeddings with Automated Word Intruder Test. LREC/COLING 2024: 6922-6928 - [c50]Tomasz Limisiewicz, David Marecek, Tomás Musil:
Debiasing Algorithm through Model Adaptation. ICLR 2024 - [i18]Tomás Musil, David Marecek:
Transforming Hidden States into Binary Semantic Features. CoRR abs/2409.19813 (2024) - 2023
- [c49]Tomasz Limisiewicz, Jirí Balhar, David Marecek:
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages. ACL (Findings) 2023: 5661-5681 - [c48]Michael Hanna
, Roberto Zamparelli, David Marecek:
The Functional Relevance of Probed Information: A Case Study. EACL 2023: 835-848 - [c47]Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek:
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation. IJCNLP (1) 2023: 885-896 - [i17]Tomasz Limisiewicz, Jirí Balhar, David Marecek:
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages. CoRR abs/2305.17179 (2023) - [i16]Linus Pithan, Vladimir Starostin, David Marecek, Lukas Petersdorf, Constantin Völter, Valentin Munteanu, Maciej Jankowski, Oleg Konovalov, Alexander Gerlach, Alexander Hinderhofer, Bridget M. Murphy, Stefan Kowarik, Frank Schreiber:
Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments. CoRR abs/2306.11899 (2023) - [i15]Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek:
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation. CoRR abs/2309.12491 (2023) - [i14]Tomasz Limisiewicz, David Marecek, Tomás Musil:
Debiasing Algorithm through Model Adaptation. CoRR abs/2310.18913 (2023) - 2022
- [i13]Tomasz Limisiewicz, David Marecek:
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information. CoRR abs/2206.10744 (2022) - [i12]Tomás Musil, David Marecek:
Independent Components of Word Embeddings Represent Semantic Features. CoRR abs/2212.09580 (2022) - 2021
- [c46]Tomasz Limisiewicz, David Marecek:
Introducing Orthogonal Constraint in Structural Probes. ACL/IJCNLP (1) 2021: 428-442 - [c45]Michael Hanna
Analyzing BERT's Knowledge of Hypernymy via Prompting. BlackboxNLP@EMNLP 2021: 275-282 - [c44]Rudolf Rosa, Tomás Musil, Ondrej Dusek, Dominik Jurko, Patrícia Schmidtová, David Marecek, Ondrej Bojar, Tom Kocmi, Daniel Hrbek, David Kosták, Martina Kinská, Marie Nováková, Josef Dolezal, Klára Vosecká, Tomás Studeník, Petr Zabka:
THEaiTRE 1.0: Interactive Generation of Theatre Play Scripts. Text2Story@ECIR 2021: 71-76 - [c43]Tomasz Limisiewicz, David Marecek:
Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes. EMNLP (1) 2021: 4589-4598 - [c42]Rudolf Rosa
When a Robot Writes a Play: Automatically Generating a Theatre Play Script. ALIFE 2021: 60 - [i11]Rudolf Rosa, Tomás Musil, Ondrej Dusek, Dominik Jurko, Patrícia Schmidtová, David Marecek, Ondrej Bojar, Tom Kocmi, Daniel Hrbek, David Kosták, Martina Kinská, Marie Nováková, Josef Dolezal, Klára Vosecká, Tomás Studeník, Petr Zabka:
THEaiTRE 1.0: Interactive generation of theatre play scripts. CoRR abs/2102.08892 (2021) - [i10]Tomasz Limisiewicz, David Marecek:
Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes. CoRR abs/2109.04921 (2021) - 2020
- [j6]Micha de Rijk, David Marecek:
Using Word Embeddings and Collocations for Modelling Word Associations. Prague Bull. Math. Linguistics 114: 35- (2020) - [j5]David Marecek, Hande Çelikkanat, Miikka Silfverberg, Vinit Ravishankar, Jörg Tiedemann:
Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features? Prague Bull. Math. Linguistics 115: 143-162 (2020) - [c41]Tomasz Limisiewicz, David Marecek, Rudolf Rosa:
Universal Dependencies according to BERT: both more specific and more general. EMNLP (Findings) 2020: 2710-2722 - [c40]Rudolf Rosa, Ondrej Dusek, Tom Kocmi, David Marecek, Tomás Musil, Patrícia Schmidtová, Dominik Jurko, Ondrej Bojar, Daniel Hrbek, David Kosták, Martina Kinská, Josef Dolezal, Klára Vosecká:
THEaiTRE: Artificial Intelligence to Write a Theatre Play. AI4Narratives@IJCAI 2020: 9-13 - [c39]Tomasz Limisiewicz, David Marecek:
Syntax Representation in Word Embeddings and Neural Networks - A Survey. ITAT 2020: 40-50 - [c38]Rudolf Rosa
Measuring Memorization Effect in Word-Level Neural Networks Probing. TDS 2020: 180-188 - [i9]Tomasz Limisiewicz
Universal Dependencies according to BERT: both more specific and more general. CoRR abs/2004.14620 (2020) - [i8]Rudolf Rosa
THEaiTRE: Artificial Intelligence to Write a Theatre Play. CoRR abs/2006.14668 (2020) - [i7]Rudolf Rosa, Tomás Musil, David Marecek:
Measuring Memorization Effect in Word-Level Neural Networks Probing. CoRR abs/2006.16082 (2020) - [i6]Tomasz Limisiewicz
Syntax Representation in Word Embeddings and Neural Networks - A Survey. CoRR abs/2010.01063 (2020) - [i5]Tomasz Limisiewicz, David Marecek:
Introducing Orthogonal Constraint in Structural Probes. CoRR abs/2012.15228 (2020)
2010 – 2019
- 2019
- [c37]Tomás Musil
Derivational Morphological Relations in Word Embeddings. BlackboxNLP@ACL 2019: 173-180 - [c36]David Marecek
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions. BlackboxNLP@ACL 2019: 263-275 - [i4]David Marecek, Rudolf Rosa
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions. CoRR abs/1906.01958 (2019) - [i3]Tomás Musil, Jonás Vidra, David Marecek:
Derivational Morphological Relations in Word Embeddings. CoRR abs/1906.02510 (2019) - [i2]Rudolf Rosa
Inducing Syntactic Trees from BERT Representations. CoRR abs/1906.11511 (2019) - 2018
- [c35]Rudolf Rosa
CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task. CoNLL Shared Task (2) 2018: 187-196 - [c34]David Marecek, Rudolf Rosa
Extracting Syntactic Trees from Transformer Encoder Self-Attentions. BlackboxNLP@EMNLP 2018: 347-349 - [c33]Jindrich Libovický, Jindrich Helcl, David Marecek:
Input Combination Strategies for Multi-Source Transformer Decoder. WMT 2018: 253-260 - [i1]Jindrich Libovický, Jindrich Helcl, David Marecek:
Input Combination Strategies for Multi-Source Transformer Decoder. CoRR abs/1811.04716 (2018) - 2017
- [c32]Bedrich Pisl, David Marecek:
Communication with Robots using Multilayer Recurrent Networks. RoboNLP@ACL 2017: 44-48 - [c31]Rudolf Rosa
Slavic Forest, Norwegian Wood. VarDial 2017: 210-219 - [c30]Roman Sudarikov, David Marecek, Tom Kocmi, Dusan Varis, Ondrej Bojar:
CUNI submission in WMT17: Chimera goes neural. WMT 2017: 248-256 - [c29]David Marecek, Ondrej Bojar, Ondrej Hübsch, Rudolf Rosa, Dusan Varis:
CUNI Experiments for WMT17 Metrics Task. WMT 2017: 604-611 - 2016
- [j4]David Marecek, Zdenek Zabokrtský:
Gibbs Sampling Segmentation of Parallel Dependency Trees for Tree-Based Machine Translation. Prague Bull. Math. Linguistics 105: 101-110 (2016) - [c28]Rudolf Rosa, Martin Popel, Ondrej Bojar, David Marecek, Ondrej Dusek:
Moses & Treex Hybrid MT Systems Bestiary. DMTW 2016: 1-10 - [c27]David Marecek:
Twelve Years of Unsupervised Dependency Parsing. ITAT 2016: 56-62 - [c26]Zhiwei Yu, David Marecek, Zdenek Zabokrtský, Daniel Zeman:
If You Even Don't Have a Bit of Bible: Learning Delexicalized POS Taggers. LREC 2016 - [c25]Daniel Zeman, David Marecek, Zhiwei Yu, Zdenek Zabokrtský:
Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined. PACLIC 2016 - [c24]David Marecek
Delexicalized and Minimally Supervised Parsing on Universal Dependencies. SLSP 2016: 30-42 - [c23]David Marecek:
Merged bilingual trees based on Universal Dependencies in Machine Translation. WMT 2016: 333-338 - 2015
- [c22]David Marecek
Multilingual Unsupervised Dependency Parsing with Unsupervised POS Tags. MICAI (1) 2015: 72-82 - 2014
- [j3]Pavel Pecina
Adaptation of machine translation for multilingual information retrieval in the medical domain. Artif. Intell. Medicine 61(3): 165-185 (2014) - [j2]Daniel Zeman
HamleDT: Harmonized multi-language dependency treebank. Lang. Resour. Evaluation 48(4): 601-637 (2014) - [j1]Loganathan Ramasamy, David Marecek, Zdenek Zabokrtský:
Multilingual Dependency Parsing: Using Machine Translated Texts instead of Parallel Corpora. Prague Bull. Math. Linguistics 102: 93-104 (2014) - [c21]David Marecek
Dealing with Function Words in Unsupervised Dependency Parsing. CICLing (1) 2014: 250-261 - [c20]Rudolf Rosa, Jan Masek, David Marecek, Martin Popel, Daniel Zeman, Zdenek Zabokrtský:
HamleDT 2.0: Thirty Dependency Treebanks Stanfordized. LREC 2014: 2334-2341 - 2013
- [c19]Rudolf Rosa, David Marecek, Ales Tamchyna:
Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis. ACL (Student Research Workshop) 2013: 172-179 - [c18]David Marecek, Milan Straka:
Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing. ACL (1) 2013: 281-290 - [c17]Martin Popel, David Marecek, Jan Stepánek, Daniel Zeman, Zdenek Zabokrtský:
Coordination Structures in Dependency Treebanks. ACL (1) 2013: 517-527 - 2012
- [c16]David Marecek, Zdenek Zabokrtský:
Exploiting Reducibility in Unsupervised Dependency Parsing. EMNLP-CoNLL 2012: 297-307 - [c15]Daniel Zeman, David Marecek, Martin Popel, Loganathan Ramasamy, Jan Stepánek, Zdenek Zabokrtský, Jan Hajic:
HamleDT: To Parse or Not to Parse? LREC 2012: 2735-2741 - [c14]Ondrej Bojar, Zdenek Zabokrtský, Ondrej Dusek, Petra Galuscáková, Martin Majlis, David Marecek, Jirí Marsík, Michal Novák, Martin Popel, Ales Tamchyna:
The Joy of Parallelism with CzEng 1.0. LREC 2012: 3921-3928 - [c13]Rudolf Rosa, Ondrej Dusek, David Marecek, Martin Popel:
Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors. SSST@ACL 2012: 39-48 - [c12]Rudolf Rosa
Dependency Relations Labeller for Czech. TSD 2012: 256-263 - [c11]Ondrej Dusek, Zdenek Zabokrtský, Martin Popel, Martin Majlis, Michal Novák, David Marecek:
Formemes in English-Czech Deep Syntactic MT. WMT@NAACL-HLT 2012: 267-274 - [c10]Rudolf Rosa, David Marecek, Ondrej Dusek:
DEPFIX: A System for Automatic Correction of Czech MT Outputs. WMT@NAACL-HLT 2012: 362-368 - 2011
- [c9]David Marecek
Combining Diverse Word-Alignment Symmetrizations Improves Dependency Tree Projection. CICLing (1) 2011: 144-154 - [c8]David Marecek, Rudolf Rosa, Petra Galuscáková, Ondrej Bojar:
Two-step translation with grammatical post-processing. WMT@EMNLP 2011: 426-432 - [c7]Martin Popel, David Marecek, Nathan Green, Zdenek Zabokrtský:
Influence of Parser Choice on Dependency-Based MT. WMT@EMNLP 2011: 433-439 - 2010
- [c6]Ondrej Bojar, Kamil Kos, David Marecek:
Tackling Sparse Data Issue in Machine Translation Evaluation. ACL (2) 2010: 86-91 - [c5]Martin Popel
Perplexity of n-Gram and Dependency Language Models. TSD 2010: 173-180 - [c4]Zdenek Zabokrtský, Martin Popel, David Marecek:
Maximum Entropy Translation Model in Dependency-Based MT Framework. WMT@ACL 2010: 201-206
2000 – 2009
- 2009
- [c3]David Marecek
Improving Word Alignment Using Alignment of Deep Structures. TSD 2009: 56-63 - [c2]Ondrej Bojar, David Marecek, Václav Novák, Martin Popel, Jan Ptácek, Jan Rous, Zdenek Zabokrtský:
English-Czech MT in 2008. WMT@EACL 2009: 125-129 - 2008
- [c1]David Marecek, Zdenek Zabokrtský, Václav Novák:
Automatic alignment of Czech and English deep syntactic dependency trees. EAMT 2008: 103-113
Coauthor Index
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