Dayne Freitag

According to our database, Dayne Freitag authored at least 41 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Schema-Driven Information Extraction from Heterogeneous Tables.

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract.

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

Proceedings of the Advances in Information Retrieval, 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview.

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

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

2023

Schema-Driven Information Extraction from Heterogeneous Tables.

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter

CoRR, 2023

2022

Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432).

Khalid Al Khatib, Anita de Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, Harrisen Scells

Dagstuhl Reports, October, 2022

Valet: Rule-Based Information Extraction for Rapid Deployment.

Dayne Freitag, John Cadigan, Robert Sasseen, Paul Kalmar

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

SynKB: Semantic Search for Synthetic Procedures.

Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overview of the Third Workshop on Scholarly Document Processing.

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, 2022

2021

Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021.

Tirthankar Ghosal, Khalid Al Khatib, Yufang Hou, Anita de Waard, Dayne Freitag

SIGIR Forum, 2021

2020

Overview of the First Workshop on Scholarly Document Processing (SDP).

Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard

Proceedings of the First Workshop on Scholarly Document Processing, 2020

2019

Overview and Results: CL-SciSumm Shared Task 2019.

Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan

Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019).

Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2017

Discourse-Wide Extraction of Assay Frames from the Biological Literature.

Dayne Freitag, Paul Kalmar, Eric Yeh

Proceedings of the Biomedical NLP Workshop associated with RANLP 2017, Varna, 2017

2016

An Annotated Corpus and Method for Analysis of Ad-Hoc Structures Embedded in Text.

Eric Yeh, John Niekrasz, Dayne Freitag, Richard Rohwer

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses.

Dayne Freitag, John Niekrasz

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

2013

Unsupervised discovery and extraction of semi-structured regions in text via self-information.

Eric Yeh, John Niekrasz, Dayne Freitag

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

2009

Loss-Sensitive Discriminative Training of Machine Transliteration Models.

Kedar Bellare, Koby Crammer, Dayne Freitag

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Name Transliteration with Bidirectional Perceptron Edit Models.

Dayne Freitag, Zhiqiang Wang

Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, 2009

2008

Evaluation of machine learning-based information extraction algorithms: criticisms and recommendations.

Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano, Neil Ireson

Lang. Resour. Evaluation, 2008

Improving NER in Arabic Using a Morphological Tagger.

Benjamin Farber, Dayne Freitag, Nizar Habash, Owen Rambow

Proceedings of the International Conference on Language Resources and Evaluation, 2008

2007

A Sequence Alignment Model Based on the Averaged Perceptron.

Dayne Freitag, Shahram Khadivi

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.

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

AI Mag., 2006

2005

Evaluating machine learning for information extraction.

Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli

Proceedings of the Machine Learning, 2005

New Experiments in Distributional Representations of Synonymy.

Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Morphology Induction from Term Clusters.

Dayne Freitag

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

2004

A Critical Survey of the Methodology for IE Evaluation.

Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano

Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Trained Named Entity Recognition using Distributional Clusters.

Dayne Freitag

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Toward Unsupervised Whole-Corpus Tagging.

Dayne Freitag

Proceedings of the COLING 2004, 2004

2000

Machine Learning for Information Extraction in Informal Domains.

Dayne Freitag

Mach. Learn., 2000

Learning to construct knowledge bases from the World Wide Web.

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

Artif. Intell., 2000

Bridging the lexical chasm: statistical approaches to answer-finding.

Adam L. Berger, Rich Caruana, David Cohn, Dayne Freitag, Vibhu O. Mittal

Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Maximum Entropy Markov Models for Information Extraction and Segmentation.

Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Information Extraction with HMM Structures Learned by Stochastic Optimization.

Dayne Freitag, Andrew McCallum

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Boosted Wrapper Induction.

Dayne Freitag, Nicholas Kushmerick

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1998

Multistrategy Learning for Information Extraction.

Dayne Freitag

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Toward General-Purpose Learning for Information Extraction.

Dayne Freitag

Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

Information Extraction from HTML: Application of a General Machine Learning Approach.

Dayne Freitag

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Learning to Extract Symbolic Knowledge from the World Wide Web.

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Web Watcher: A Tour Guide for the World Wide Web.

Thorsten Joachims, Dayne Freitag, Tom M. Mitchell

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1994

Experience with a Learning Personal Assistant.

Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski

Commun. ACM, 1994

Greedy Attribute Selection.

Rich Caruana, Dayne Freitag

Proceedings of the Machine Learning, 1994