Dayne Freitag

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 15

Top Topics

Information Retrieval

Document Processing

Natural Language Processing

Argumentation Skills

Top Venues

Publications

Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf 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)
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter
Schema-Driven Information Extraction from Heterogeneous Tables. CoRR (2023)
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)
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) (2022)
Dayne Freitag, John Cadigan, Robert Sasseen, Paul Kalmar
Valet: Rule-Based Information Extraction for Rapid Deployment. LREC (2022)
Fan Bai, Alan Ritter, Peter Madrid, Dayne Freitag, John Niekrasz
SynKB: Semantic Search for Synthetic Procedures. CoRR (2022)
Fan Bai, Alan Ritter, Peter Madrid, Dayne Freitag, John Niekrasz
SynKB: Semantic Search for Synthetic Procedures. EMNLP (Demos) (2022)
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) (2021)
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)
Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan
Overview and Results: CL-SciSumm Shared Task 2019. BIRNDL@SIGIR (2019)
Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan
Overview and Results: CL-SciSumm Shared Task 2019. CoRR (2019)
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)
Dayne Freitag, Paul Kalmar, Eric Yeh
Discourse-Wide Extraction of Assay Frames from the Biological Literature. BiomedicalNLP@RANLP (2017)
Dayne Freitag, John Niekrasz
Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses. BioNLP@ACL (2016)
Eric Yeh, John Niekrasz, Dayne Freitag, Richard Rohwer
An Annotated Corpus and Method for Analysis of Ad-Hoc Structures Embedded in Text. LREC (2016)
Eric Yeh, John Niekrasz, Dayne Freitag
Unsupervised discovery and extraction of semi-structured regions in text via self-information. AKBC@CIKM (2013)
Kedar Bellare, Koby Crammer, Dayne Freitag
Loss-Sensitive Discriminative Training of Machine Transliteration Models. HLT-NAACL (Student Research Workshop and Doctoral Consortium) (2009)
Dayne Freitag, Zhiqiang Wang
Name Transliteration with Bidirectional Perceptron Edit Models. NEWS@IJCNLP (2009)
Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano, Neil Ireson
Evaluation of machine learning-based information extraction algorithms: criticisms and recommendations. Lang. Resour. Evaluation 42 (4) (2008)
Benjamin Farber, Dayne Freitag, Nizar Habash, Owen Rambow
Improving NER in Arabic Using a Morphological Tagger. LREC (2008)
Dayne Freitag, Shahram Khadivi
A Sequence Alignment Model Based on the Averaged Perceptron. EMNLP-CoNLL (2007)
Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug 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) (2006)
Dayne Freitag
Morphology Induction from Term Clusters. CoNLL (2005)
Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli
Evaluating machine learning for information extraction. ICML (2005)
Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang
New Experiments in Distributional Representations of Synonymy. CoNLL (2005)
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)
Dayne Freitag
Trained Named Entity Recognition using Distributional Clusters. EMNLP (2004)
Dayne Freitag
Toward Unsupervised Whole-Corpus Tagging. COLING (2004)
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) (2000)
Adam L. Berger, Rich Caruana, David Cohn, Dayne Freitag, Vibhu O. Mittal
Bridging the lexical chasm: statistical approaches to answer-finding. SIGIR (2000)
Dayne Freitag
Machine Learning for Information Extraction in Informal Domains. Mach. Learn. 39 (2/3) (2000)
Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira
Maximum Entropy Markov Models for Information Extraction and Segmentation. ICML (2000)
Dayne Freitag, Andrew McCallum
Information Extraction with HMM Structures Learned by Stochastic Optimization. AAAI/IAAI (2000)
Dayne Freitag, Nicholas Kushmerick
Boosted Wrapper Induction. AAAI/IAAI (2000)
Dayne Freitag
Multistrategy Learning for Information Extraction. ICML (1998)
Dayne Freitag
Information Extraction from HTML: Application of a General Machine Learning Approach. AAAI/IAAI (1998)
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)
Dayne Freitag
Toward General-Purpose Learning for Information Extraction. COLING-ACL (1998)
Thorsten Joachims, Dayne Freitag, Tom M. Mitchell
Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) (1997)
Rich Caruana, Dayne Freitag
Greedy Attribute Selection. ICML (1994)
Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski
Experience with a Learning Personal Assistant. Commun. ACM 37 (7) (1994)