Lucie Polakova |  Jiri Mirovsky... -  《2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation,Vol. 7》 -  Joint International Conference on Computational Linguistics, Language Resources and Evaluation - 2024, - 4802～4810 - 共9页

摘要：We introduce the first version of the Czech RST Discourse Treebank, a collection of Czech journalistic texts manually annotated using the Rhetorical Structure Theory (RST), a global coherence model pr...

关键词： Rhetorical Structure Theory |  text coherence |  Czech RST Discourse Treebank

Pavlina Synkova |  Jiri Mirovsky... -  《2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation,Vol. 2》 -  Joint International Conference on Computational Linguistics, Language Resources and Evaluation - 2024, - 1270～1279 - 共10页

摘要：We present the Prague Discourse Treebank 3.0 - a new version of the annotation of discourse relations marked by primary and secondary discourse connectives in the data of the Prague Dependency Treeban...

关键词： discourse relations |  pragmatic relations |  Prague Discourse Treebank |  Penn Discourse Treebank

Jiri Mirovsky |  Pavlina Synkova... -  《2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation,Vol. 6》 -  Joint International Conference on Computational Linguistics, Language Resources and Evaluation - 2024, - 4067～4077 - 共11页

摘要：We present a cost-effective method for obtaining a high-quality annotation of explicit discourse relations in the Czech part of the Prague Czech-English Dependency Treebank, a corpus of almost 50 thou...

关键词： discourse relations |  annotation projection |  cost-effective annotation |  Prague Czech-English Dependency Treebank

Lucie Polakova |  Jiri Mirovsky -  《Computational linguistics and intelligent text processing, part 1: 20th International conference on computational linguistics and intelligent text processing (CICLing 2019), April 7–13, 2019, La Rochelle, France》 -  International conference on computational linguistics and intelligent text processing - 2023, - 62～72 - 共11页

摘要：Determining a relative position of a discourse connective and the two arguments (text segments) it connects is an important part of a full discourse parsing task. This paper investigates discourse con...

关键词： Discourse connectives |  Text coherence |  Attribution |  Syntactic structure |  Text mining

Barbora Hladka |  Jiri Mirovsky... -  《Language Resources and Evaluation Conference, Vol. 3: 13th Language Resources and Evaluation Conference (LREC 2022), 20-25 June 2022, Marseille, France》 -  Language Resources and Evaluation Conference - 2022, - 1817～1823 - 共7页

摘要：This paper focuses on detection of sources in the Czech articles published on a news server of Czech public radio. In particular, we search for attribution in sentences and we recognize attributed sou...

关键词： media bias |  news server |  article |  attribution |  signal |  source |  annotation |  crowdsourcing

Lucie Polakova |  Jiri Mirovsky -  《Text, speech, and dialogue: 23rd international conference on text, speech, and dialogue (TSD 2020), September 8–11, 2020, Brno, Czech Republic》 -  International conference on text, speech, and dialogue - 2020, - 50～60 - 共11页

摘要：Descriptive approaches to discourse (text) structure and coherence typically proceed either in a bottom-up or a top-down analytic way. The former ones analyze how the smallest discourse units (clauses...

关键词： Local and global discourse coherence |  Discourse relations |  Hierarchy |  Rhetorical Structure Theory |  Penn Discourse Treebank |  Prague Dependency Treebank

NSTL主题词： Debates |  ANNOTATIONS |  mining

Lucie Polakova |  Katerina Rysova... -  《Twelfth International Conference on Language Resources and Evaluation, vol. 2: 12th International Conference on Language Resources and Evaluation (LREC 2020), 11-16 May 2020, Marseille, France》 -  International Conference on Language Resources and Evaluation - 2020, - 1089～1096 - 共8页

摘要：We introduce the first version of GeCzLex, an online electronic resource for translation equivalents of Czech and German discourse connectives. The lexicon is one of the outcomes of the research on an...

关键词： discourse connectives |  bilingual lexicon |  anaphoricity |  Czech |  German

NSTL主题词： Czech |  Dictionaries as Topic

Jiri Mirovsky |  Lucie Polakova... -  《Twelfth International Conference on Language Resources and Evaluation, vol. 2: 12th International Conference on Language Resources and Evaluation (LREC 2020), 11-16 May 2020, Marseille, France》 -  International Conference on Language Resources and Evaluation - 2020, - 1128～1134 - 共7页

摘要：CzeDLex is an electronic lexicon of Czech discourse connectives with its data coming from a large treebank annotated with discourse relations. Its new version CzeDLex 0.6 (as compared with the previou...

关键词： lexicon |  discourse connectives |  Czech |  searching |  PML-TQ

NSTL主题词： representations

Michal Novak |  Jiri Mirovsky... -  《Text, speech, and dialogue: 22nd international conference on text, speech, and dialogue (TSD 2019), September 11–13, 2019, Ljubljana, Slovenia》 -  International conference on text, speech, and dialogue - 2019, - 197～210 - 共14页

摘要：The paper contributes to the research on automatic evaluation of surface coherence in student essays. We look into possibilities of using large unlabeled data to improve quality of such evaluation. Pa...

关键词： Text coherence |  Automated essay scoring |  Machine learning |  Large data

NSTL主题词： Czech |  coherence |  AUTOMATIC

Sarka Zikanova |  Jiri Mirovsky... -  《Text, speech, and dialogue: 22nd international conference on text, speech, and dialogue (TSD 2019), September 11–13, 2019, Ljubljana, Slovenia》 -  International conference on text, speech, and dialogue - 2019, - 236～248 - 共13页

摘要：Coherence of a text is provided by various language means, including discourse connectives (coordinating and subordinating conjunctions, adverbs etc.). However, semantic relations between text segment...

关键词： Implicit discourse relations |  Text genre |  Negation

NSTL主题词： Explicit |  Prague Czech Republic |  Debates |  Implicit