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Dayne Freitag
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2020 – today
- 2024
- [c33]Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. CLEF (2) 2024: 231-259 - [c32]Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) 2024: 3-10 - [c31]Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter:
Schema-Driven Information Extraction from Heterogeneous Tables. EMNLP (Findings) 2024: 10252-10273 - 2023
- [i4]Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter:
Schema-Driven Information Extraction from Heterogeneous Tables. CoRR abs/2305.14336 (2023) - 2022
- [c30]Arman Cohan
, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 2022: 1-6 - [c29]Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. EMNLP (Demos) 2022: 311-318 - [c28]Dayne Freitag, John Cadigan, Robert Sasseen, Paul Kalmar:
Valet: Rule-Based Information Extraction for Rapid Deployment. LREC 2022: 524-533 - [e2]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - [i3]Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. CoRR abs/2208.07400 (2022) - [i2]Khalid Al Khatib, Anita de Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, Harrisen Scells:
Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432). Dagstuhl Reports 12(10): 175-206 (2022) - 2021
- [j6]Tirthankar Ghosal, Khalid Al Khatib, Yufang Hou, Anita de Waard, Dayne Freitag:
Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021. SIGIR Forum 55(2): 19:1-19:12 (2021) - 2020
- [c27]Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard:
Overview of the First Workshop on Scholarly Document Processing (SDP). SDP@EMNLP 2020: 1-6 - [e1]Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer:
Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-70-5 [contents]
2010 – 2019
- 2019
- [c26]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. BIRNDL@SIGIR 2019: 153-166 - [c25]Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). SIGIR 2019: 1441-1443 - [i1]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. CoRR abs/1907.09854 (2019) - 2017
- [c24]Dayne Freitag, Paul Kalmar, Eric Yeh:
Discourse-Wide Extraction of Assay Frames from the Biological Literature. BiomedicalNLP@RANLP 2017: 15-23 - 2016
- [c23]Dayne Freitag, John Niekrasz:
Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses. BioNLP@ACL 2016: 36-45 - [c22]Eric Yeh, John Niekrasz, Dayne Freitag, Richard Rohwer:
An Annotated Corpus and Method for Analysis of Ad-Hoc Structures Embedded in Text. LREC 2016 - 2013
- [c21]Eric Yeh, John Niekrasz, Dayne Freitag:
Unsupervised discovery and extraction of semi-structured regions in text via self-information. AKBC@CIKM 2013: 103-108
2000 – 2009
- 2009
- [c20]Dayne Freitag, Zhiqiang Wang:
Name Transliteration with Bidirectional Perceptron Edit Models. NEWS@IJCNLP 2009: 132-135 - [c19]Kedar Bellare, Koby Crammer, Dayne Freitag:
Loss-Sensitive Discriminative Training of Machine Transliteration Models. HLT-NAACL (Student Research Workshop and Doctoral Consortium) 2009: 61-65 - 2008
- [j5]Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna
Evaluation of machine learning-based information extraction algorithms: criticisms and recommendations. Lang. Resour. Evaluation 42(4): 361-393 (2008) - [c18]Benjamin Farber, Dayne Freitag, Nizar Habash, Owen Rambow:
Improving NER in Arabic Using a Morphological Tagger. LREC 2008 - 2007
- [c17]Dayne Freitag, Shahram Khadivi:
A Sequence Alignment Model Based on the Averaged Perceptron. EMNLP-CoNLL 2007: 238-247 - 2006
- [j4]Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27(4): 92-102 (2006) - 2005
- [c16]Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang:
New Experiments in Distributional Representations of Synonymy. CoNLL 2005: 25-32 - [c15]Dayne Freitag:
Morphology Induction from Term Clusters. CoNLL 2005: 128-135 - [c14]Neil Ireson, Fabio Ciravegna
Evaluating machine learning for information extraction. ICML 2005: 345-352 - 2004
- [c13]Dayne Freitag:
Toward Unsupervised Whole-Corpus Tagging. COLING 2004 - [c12]Dayne Freitag:
Trained Named Entity Recognition using Distributional Clusters. EMNLP 2004: 262-269 - [c11]Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano:
A Critical Survey of the Methodology for IE Evaluation. LREC 2004 - 2000
- [j3]Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery:
Learning to construct knowledge bases from the World Wide Web. Artif. Intell. 118(1-2): 69-113 (2000) - [j2]Dayne Freitag:
Machine Learning for Information Extraction in Informal Domains. Mach. Learn. 39(2/3): 169-202 (2000) - [c10]Dayne Freitag, Nicholas Kushmerick:
Boosted Wrapper Induction. AAAI/IAAI 2000: 577-583 - [c9]Dayne Freitag, Andrew McCallum:
Information Extraction with HMM Structures Learned by Stochastic Optimization. AAAI/IAAI 2000: 584-589 - [c8]Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira:
Maximum Entropy Markov Models for Information Extraction and Segmentation. ICML 2000: 591-598 - [c7]Adam L. Berger, Rich Caruana, David Cohn, Dayne Freitag, Vibhu O. Mittal:
Bridging the lexical chasm: statistical approaches to answer-finding. SIGIR 2000: 192-199
1990 – 1999
- 1998
- [c6]Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery:
Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI 1998: 509-516 - [c5]Dayne Freitag:
Information Extraction from HTML: Application of a General Machine Learning Approach. AAAI/IAAI 1998: 517-523 - [c4]Dayne Freitag:
Toward General-Purpose Learning for Information Extraction. COLING-ACL 1998: 404-408 - [c3]Dayne Freitag:
Multistrategy Learning for Information Extraction. ICML 1998: 161-169 - 1997
- [c2]Thorsten Joachims, Dayne Freitag, Tom M. Mitchell:
Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) 1997: 770-777 - 1994
- [j1]Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski:
Experience with a Learning Personal Assistant. Commun. ACM 37(7): 80-91 (1994) - [c1]Rich Caruana, Dayne Freitag:
Greedy Attribute Selection. ICML 1994: 28-36
Coauthor Index
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last updated on 2024-11-19 21:43 CET by the dblp team
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