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Books and Theses
- 2000
[b1]Roman Yangarber:
Scenario Customization for Information Extraction. New York University, USA, 2000
Journal Articles
- 2002
- [j1]Ralph Grishman, Silja Huttunen, Roman Yangarber
:
Information extraction for enhanced access to disease outbreak reports. J. Biomed. Informatics 35(4): 236-246 (2002)
Conference and Workshop Papers
- 2024
- [c62]Jakub Piskorski, Michal Marcinczuk, Roman Yangarber:
Cross-lingual Named Entity Corpus for Slavic Languages. LREC/COLING 2024: 4143-4157 - [c61]Anisia Katinskaia, Roman Yangarber:
GPT-3.5 for Grammatical Error Correction. LREC/COLING 2024: 7831-7843 - [c60]Jue Hou, Anisia Katinskaia, Lari Kotilainen, Sathianpong Trangcasanchai, Anh-Duc Vu, Roman Yangarber:
What Do Transformers Know about Government? LREC/COLING 2024: 17459-17472 - [c59]Anisia Katinskaia, Roman Yangarber:
Probing the Category of Verbal Aspect in Transformer Language Models. NAACL-HLT (Findings) 2024: 3347-3366 - 2023
- [c58]Anisia Katinskaia, Roman Yangarber:
Grammatical Error Correction for Sentence-level Assessment in Language Learning. BEA@ACL 2023: 488-502 - [c57]Anisia Katinskaia, Jue Hou, Anh-Duc Vu, Roman Yangarber:
Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring. EACL (System Demonstrations) 2023: 136-144 - [c56]Jue Hou, Anisia Katinskaia, Anh-Duc Vu, Roman Yangarber:
Effects of sub-word segmentation on performance of transformer language models. EMNLP 2023: 7413-7425 - [c55]Ilmari Kylliäinen, Roman Yangarber:
Question Answering and Question Generation for Finnish. NoDaLiDa 2023: 529-540 - 2022
- [c54]Anisia Katinskaia, Maria Lebedeva, Jue Hou, Roman Yangarber:
Semi-automatically Annotated Learner Corpus for Russian. LREC 2022: 832-839 - 2021
- [c53]Anisia Katinskaia, Roman Yangarber:
Assessing Grammatical Correctness in Language Learning. BEA@EACL 2021: 135-146 - 2020
- [c52]Anisia Katinskaia, Sardana Ivanova, Roman Yangarber:
Toward a Paradigm Shift in Collection of Learner Corpora. LREC 2020: 386-391 - [c51]José María Hoya Quecedo, Koppatz Maximilian, Roman Yangarber:
Neural Disambiguation of Lemma and Part of Speech in Morphologically Rich Languages. LREC 2020: 3573-3582 - 2019
- [c50]Jakub Piskorski, Laska Laskova, Michal Marcinczuk, Lidia Pivovarova, Pavel Pribán, Josef Steinberger, Roman Yangarber:
The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages. BSNLP@ACL 2019: 63-74 - [c49]Jue Hou, Koppatz Maximilian, José María Hoya Quecedo, Nataliya Stoyanova, Roman Yangarber:
Modeling language learning using specialized Elo rating. BEA@ACL 2019: 494-506 - [c48]Sardana Ivanova, Anisia Katinskaia, Roman Yangarber:
Tools for supporting language learning for Sakha. NODALIDA 2019: 155-163 - [c47]Jue Hou, Koppatz Maximilian, José María Hoya Quecedo, Roman Yangarber:
Projecting named entity recognizers without annotated or parallel corpora. NODALIDA 2019: 232-241 - 2018
- [c46]Anisia Katinskaia, Roman Yangarber:
Digital Cultural Heritage and Revitalization of Endangered Finno-Ugric Languages. DHN 2018: 111-121 - [c45]Anisia Katinskaia, Javad Nouri, Roman Yangarber:
Revita: a Language-learning Platform at the Intersection of ITS and CALL. LREC 2018 - [c44]Lidia Pivovarova, Arto Klami, Roman Yangarber:
Benchmarks and models for entity-oriented polarity detection. NAACL-HLT (3) 2018: 129-136 - [c43]Lidia Pivovarova, Roman Yangarber:
Comparison of Representations of Named Entities for Document Classification. Rep4NLP@ACL 2018: 64-68 - 2017
- [c42]Jakub Piskorski, Lidia Pivovarova, Jan Snajder, Josef Steinberger, Roman Yangarber:
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages. BSNLP@EACL 2017: 76-85 - [c41]Llorenç Escoter, Lidia Pivovarova, Mian Du, Anisia Katinskaia, Roman Yangarber:
Grouping business news stories based on salience of named entities. EACL (1) 2017: 1096-1106 - [c40]Lidia Pivovarova, Llorenç Escoter, Arto Klami, Roman Yangarber:
HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks. SemEval@ACL 2017: 842-846 - [c39]Javad Nouri, Roman Yangarber:
Learning Morphology of Natural Language as a Finite-State Grammar. SLSP 2017: 44-57 - 2016
- [c38]Javad Nouri, Roman Yangarber:
Modeling language evolution with codes that utilize context and phonetic features. CoNLL 2016: 136-145 - [c37]Ossi Karkulahti, Lidia Pivovarova, Mian Du, Jussi Kangasharju, Roman Yangarber:
Tracking Interactions Across Business News, Social Media, and Stock Fluctuations. ECIR 2016: 735-740 - [c36]Javad Nouri, Roman Yangarber:
A Novel Evaluation Method for Morphological Segmentation. LREC 2016 - 2015
- [c35]Mikhail Kopotev, Llorenç Escoter, Daria Kormacheva, Matthew Pierce, Lidia Pivovarova, Roman Yangarber:
Online Extraction of Russian Multiword Expressions. BSNLP@RANLP 2015: 43-45 - [c34]Mian Du, Matthew Pierce, Lidia Pivovarova, Roman Yangarber:
Improving Supervised Classification Using Information Extraction. NLDB 2015: 3-18 - 2014
- [c33]Mian Du, Matthew Pierce, Lidia Pivovarova, Roman Yangarber:
Supervised Classification Using Balanced Training. SLSP 2014: 147-158 - 2013
- [c32]Lidia Pivovarova, Mian Du, Roman Yangarber:
Adapting the PULS event extraction framework to analyze Russian text. BSNLP@ACL 2013: 100-109 - [c31]Mian Du, Jussi Kangasharju, Ossi Karkulahti, Lidia Pivovarova, Roman Yangarber:
Combined analysis of news and Twitter messages. SWAIE@RANLP 2013: 41-48 - [c30]Mikhail Kopotev, Lidia Pivovarova, Natalia Kochetkova, Roman Yangarber:
Automatic Detection of Stable Grammatical Features in N-Grams. MWE@NAACL-HLT 2013: 73-81 - [c29]Lidia Pivovarova, Silja Huttunen, Roman Yangarber:
Event representation across genre. EVENTS@NAACL-HLT 2013: 29-37 - [c28]Javad Nouri, Lidia Pivovarova, Roman Yangarber:
MDL-Based Models for Transliteration Generation. SLSP 2013: 200-211 - 2011
- [c27]Roman Yangarber:
Discovering Complex Networks of Events and Relations in News Surveillance. EISIC 2011: 7 - [c26]Silja Huttunen, Arto Vihavainen, Roman Yangarber:
Relevance Prediction in Information Extraction using Discourse and Lexical Features. NODALIDA 2011: 114-121 - [c25]Hannes Wettig, Roman Yangarber:
Probabilistic Models for Alignment of Etymological Data. NODALIDA 2011: 246-253 - [c24]Hannes Wettig, Suvi Hiltunen, Roman Yangarber:
MDL-based Models for Alignment of Etymological Data. RANLP 2011: 111-117 - [c23]Mian Du, Peter von Etter, Mikhail Kopotev, Mikhail Novikov, Natalia Tarbeeva, Roman Yangarber:
Building Support Tools for Russian-Language Information Extraction. TSD 2011: 380-387 - 2010
- [c22]Peter von Etter, Silja Huttunen, Arto Vihavainen, Matti Vuorinen, Roman Yangarber:
Assessment of Utility in Web Mining for the Domain of Public Health. Louhi@NAACL-HLT 2010: 29-37 - [c21]Alexander Norta, Roman Yangarber, Lauri Carlson:
Utility Evaluation of Tools for Collaborative Development and Maintenance of Ontologies. EDOCW 2010: 207-214 - [c20]Martin Atkinson, Jenya Belayeva, Vanni Zavarella, Jakub Piskorski, Silja Huttunen, Arto Vihavainen, Roman Yangarber:
News mining for border security Intelligence. ISI 2010: 173 - 2009
- [c19]Martin Atkinson, Jakub Piskorski, Hristo Tanev, Erik Van der Goot, Roman Yangarber, Vanni Zavarella:
Automated Event Extraction in the Domain of Border Security. UCMedia 2009: 321-326 - 2007
- [c18]Ralf Steinberger, Flavio Fuart, Erik van der Goot, Clive Best, Peter von Etter, Roman Yangarber:
Text Mining from the Web for Medical Intelligence. NATO ASI Mining Massive Data Sets for Security 2007: 295-310 - 2005
- [c17]Roman Yangarber:
Mining the Semantics of Text Via Counter-Training. EPIA 2005: 647-657 - [c16]Konstantin Bogatyrev, Roman Yangarber:
Use of deep syntax parsing in cross-language information extraction. MLMTA 2005: 18-24 - [c15]Roman Yangarber, Lauri Jokipii, Antti Rauramo, Silja Huttunen:
Extracting Information about Outbreaks of Infectious Epidemics. HLT/EMNLP 2005: 22-23 - [c14]Roman Yangarber, Lauri Jokipii:
Redundancy-based Correction of Automatically Extracted Facts. HLT/EMNLP 2005: 57-64 - 2003
- [c13]Roman Yangarber:
Counter-Training in Discovery of Semantic Patterns. ACL 2003: 343-350 - 2002
- [c12]Silja Huttunen, Roman Yangarber, Ralph Grishman:
Complexity of Event Structure in IE Scenarios. COLING 2002 - [c11]Roman Yangarber, Winston Lin, Ralph Grishman:
Unsupervised Learning of Generalized Names. COLING 2002 - [c10]Silja Huttunen, Roman Yangarber, Ralph Grishman:
Diversity of Scenarios in Information extraction. LREC 2002 - [c9]Roman Yangarber:
Acquisition of Domain Knowledge. SCIE 2002: 1-28 - 2000
- [c8]Roman Yangarber, Ralph Grishman, Pasi Tapanainen:
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction. ANLP 2000: 282-289 - [c7]Roman Yangarber, Ralph Grishman, Pasi Tapanainen, Silja Huttunen:
Automatic Acquisition of Domain Knowledge for Information Extraction. COLING 2000: 940-946 - 1998
- [c6]Adam L. Meyers, Roman Yangarber, Ralph Grishman, Catherine Macleod, Antonio Moreno-Sandoval:
Deriving Transfer Rules from Dominance-Preserving Alignments. COLING-ACL 1998: 843-847 - [c5]Roman Yangarber, Ralph Grishman:
NYU: Description of the Proteus/PET System as Used for MUC-7 ST. MUC 1998 - [c4]Chikashi Nobata, Satoshi Sekine, Roman Yangarber:
Japanese IE System and Customization Tool. TIPSTER 1998: 91-95 - [c3]Roman Yangarber, Ralph Grishman:
Transforming Examples into Patterns for Information Extraction. TIPSTER 1998: 97-103 - 1996
- [c2]Adam Meyers, Roman Yangarber, Ralph Grishman:
Alignment of Shared Forests for Bilingual Corpora. COLING 1996: 460-465 - [c1]Peter Piatko, Roman Yangarber, Dao-I Lin, Dennis E. Shasha:
Thinksheet: A Tool for Tailoring Complex Documents. SIGMOD Conference 1996: 546
Parts in Books or Collections
- 2013
- [p4]Martin Atkinson, Mian Du, Jakub Piskorski, Hristo Tanev, Roman Yangarber, Vanni Zavarella:
Techniques for Multilingual Security-Related Event Extraction from Online News. Computational Linguistics - Applications 2013: 163-186 - [p3]Jakub Piskorski, Roman Yangarber:
Information Extraction: Past, Present and Future. Multi-source, Multilingual Information Extraction and Summarization 2013: 23-49 - [p2]Silja Huttunen, Arto Vihavainen, Mian Du, Roman Yangarber:
Predicting Relevance of Event Extraction for the End User. Multi-source, Multilingual Information Extraction and Summarization 2013: 163-176 - 2011
- [p1]Martin Atkinson, Jakub Piskorski, Erik Van der Goot, Roman Yangarber:
Multilingual Real-time Event Extraction for Border Security Intelligence Gathering. Counterterrorism and Open Source Intelligence 2011: 355-390
Editorship
- 2019
- [e5]Tomaz Erjavec, Michal Marcinczuk, Preslav Nakov, Jakub Piskorski, Lidia Pivovarova, Jan Snajder, Josef Steinberger, Roman Yangarber:
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, BSNLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-41-3 [contents] - 2017
- [e4]Tomaz Erjavec, Jakub Piskorski, Lidia Pivovarova, Jan Snajder, Josef Steinberger, Roman Yangarber:
Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, BSNLP@EACL 2017, Valencia, Spain, April 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-45-6 [contents] - 2015
- [e3]Jakub Piskorski, Lidia Pivovarova, Jan Snajder, Hristo Tanev, Roman Yangarber:
The 5th Workshop on Balto-Slavic Natural Language Processing, BSNLP@RANLP 2015, Hissar, Bulgaria, September 10-11, 2015. INCOMA Ltd. Shoumen, BULGARIA 2015, ISBN 978-954-452-033-5 [contents] - 2013
- [e2]Jakub Piskorski, Lidia Pivovarova, Hristo Tanev, Roman Yangarber:
Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing, BSNLP@ACL 2013, Sofia, Bulgaria, August 8-9, 2013. Association for Computational Linguistics 2013, ISBN 978-1-937284-59-6 [contents] - [e1]Thierry Poibeau, Horacio Saggion, Jakub Piskorski, Roman Yangarber:
Multi-source, Multilingual Information Extraction and Summarization. Theory and Applications of Natural Language Processing, Springer 2013, ISBN 978-3-642-28568-4 [contents]
Informal and Other Publications
- 2024
- [i9]Jakub Piskorski, Michal Marcinczuk, Roman Yangarber:
Cross-lingual Named Entity Corpus for Slavic Languages. CoRR abs/2404.00482 (2024) - [i8]Jue Hou, Anisia Katinskaia, Lari Kotilainen, Sathianpong Trangcasanchai, Anh-Duc Vu, Roman Yangarber:
What do Transformers Know about Government? CoRR abs/2404.14270 (2024) - [i7]Anisia Katinskaia, Roman Yangarber:
GPT-3.5 for Grammatical Error Correction. CoRR abs/2405.08469 (2024) - [i6]Anisia Katinskaia, Roman Yangarber:
Probing the Category of Verbal Aspect in Transformer Language Models. CoRR abs/2406.02335 (2024) - [i5]Yiheng Wu, Roman Yangarber, Xian Mao:
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction. CoRR abs/2409.13717 (2024) - [i4]Jue Hou, Anisia Katinskaia, Anh-Duc Vu, Roman Yangarber:
Implicit assessment of language learning during practice as accurate as explicit testing. CoRR abs/2409.16133 (2024) - 2022
- [i3]Ilmari Kylliäinen, Roman Yangarber:
Question Answering and Question Generation for Finnish. CoRR abs/2211.13794 (2022) - [i2]Anisia Katinskaia, Jue Hou, Anh-Duc Vu, Roman Yangarber:
Linguistic Constructs as the Representation of the Domain Model in an Intelligent Language Tutoring System. CoRR abs/2212.01711 (2022) - 2020
- [i1]José María Hoya Quecedo, Maximilian W. Koppatz, Giacomo Furlan, Roman Yangarber:
Neural disambiguation of lemma and part of speech in morphologically rich languages. CoRR abs/2007.06104 (2020)
Coauthor Index
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