Dayne Freitag
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
13
Active years
1994–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark. | Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu |
| 2025 | CIKM | Building a Virtual Member of a Community of Practice. | Joshua Eckroth, Dayne Freitag, Jonathan M. Keefe, Timothy Meyer, Karen L. Myers, Eric Schoen, Pedro Sequeira, Reid G. Smith |
| 2024 | ECIR | 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 Frbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taul, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle |
| 2024 | EMNLP | Schema-Driven Information Extraction from Heterogeneous Tables. | Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter |
| 2022 | COLING | 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 |
| 2022 | EMNLP | SynKB: Semantic Search for Synthetic Procedures. | Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz |
| 2022 | LREC | Valet: Rule-Based Information Extraction for Rapid Deployment. | Dayne Freitag, John Cadigan, Robert Sasseen, Paul Kalmar |
| 2020 | EMNLP | 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 |
| 2019 | SIGIR | 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 |
| 2019 | SIGIR | Overview and Results: CL-SciSumm Shared Task 2019. | Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan |
| 2017 | RANLP | Discourse-Wide Extraction of Assay Frames from the Biological Literature. | Dayne Freitag, Paul Kalmar, Eric Yeh |
| 2016 | LREC | An Annotated Corpus and Method for Analysis of Ad-Hoc Structures Embedded in Text. | Eric Yeh, John Niekrasz, Dayne Freitag, Richard Rohwer |
| 2013 | CIKM | Unsupervised discovery and extraction of semi-structured regions in text via self-information. | Eric Yeh, John Niekrasz, Dayne Freitag |
| 2009 | NAACL | Loss-Sensitive Discriminative Training of Machine Transliteration Models. | Kedar Bellare, Koby Crammer, Dayne Freitag |
| 2008 | LREC | Improving NER in Arabic Using a Morphological Tagger. | Benjamin Farber, Dayne Freitag, Nizar Habash, Owen Rambow |
| 2007 | EMNLP | A Sequence Alignment Model Based on the Averaged Perceptron. | Dayne Freitag, Shahram Khadivi |
| 2005 | CoNLL | Morphology Induction from Term Clusters. | Dayne Freitag |
| 2005 | CoNLL | New Experiments in Distributional Representations of Synonymy. | Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang |
| 2005 | ICML | Evaluating machine learning for information extraction. | Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli |
| 2004 | COLING | Toward Unsupervised Whole-Corpus Tagging. | Dayne Freitag |
| 2004 | EMNLP | Trained Named Entity Recognition using Distributional Clusters. | Dayne Freitag |
| 2004 | LREC | A Critical Survey of the Methodology for IE Evaluation. | Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano |
| 2000 | AAAI | Boosted Wrapper Induction. | Dayne Freitag, Nicholas Kushmerick |
| 2000 | AAAI | Information Extraction with HMM Structures Learned by Stochastic Optimization. | Dayne Freitag, Andrew McCallum |
| 2000 | ICML | Maximum Entropy Markov Models for Information Extraction and Segmentation. | Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira |
| 2000 | SIGIR | Bridging the lexical chasm: statistical approaches to answer-finding. | Adam L. Berger, Rich Caruana, David Cohn, Dayne Freitag, Vibhu O. Mittal |
| 1998 | AAAI | Learning to Extract Symbolic Knowledge from the World Wide Web. | Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Sen Slattery |
| 1998 | AAAI | Information Extraction from HTML: Application of a General Machine Learning Approach. | Dayne Freitag |
| 1998 | ACL | Toward General-Purpose Learning for Information Extraction. | Dayne Freitag |
| 1998 | ICML | Multistrategy Learning for Information Extraction. | Dayne Freitag |
| 1997 | IJCAI | Web Watcher: A Tour Guide for the World Wide Web. | Thorsten Joachims, Dayne Freitag, Tom M. Mitchell |
| 1994 | ICML | Greedy Attribute Selection. | Rich Caruana, Dayne Freitag |