John F. Pitrelli
Also published as: John Pitrelli
2020
The TechQA Dataset
Vittorio Castelli | Rishav Chakravarti | Saswati Dana | Anthony Ferritto | Radu Florian | Martin Franz | Dinesh Garg | Dinesh Khandelwal | Scott McCarley | Michael McCawley | Mohamed Nasr | Lin Pan | Cezar Pendus | John Pitrelli | Saurabh Pujar | Salim Roukos | Andrzej Sakrajda | Avi Sil | Rosario Uceda-Sosa | Todd Ward | Rong Zhang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Vittorio Castelli | Rishav Chakravarti | Saswati Dana | Anthony Ferritto | Radu Florian | Martin Franz | Dinesh Garg | Dinesh Khandelwal | Scott McCarley | Michael McCawley | Mohamed Nasr | Lin Pan | Cezar Pendus | John Pitrelli | Saurabh Pujar | Salim Roukos | Andrzej Sakrajda | Avi Sil | Rosario Uceda-Sosa | Todd Ward | Rong Zhang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
We introduce TECHQA, a domain-adaptation question answering dataset for the technical support domain. The TECHQA corpus highlights two real-world issues from the automated customer support domain. First, it contains actual questions posed by users on a technical forum, rather than questions generated specifically for a competition or a task. Second, it has a real-world size – 600 training, 310 dev, and 490 evaluation question/answer pairs – thus reflecting the cost of creating large labeled datasets with actual data. Hence, TECHQA is meant to stimulate research in domain adaptation rather than as a resource to build QA systems from scratch. TECHQA was obtained by crawling the IBMDeveloper and DeveloperWorks forums for questions with accepted answers provided in an IBM Technote—a technical document that addresses a specific technical issue. We also release a collection of the 801,998 Technotes available on the web as of April 4, 2019 as a companion resource that can be used to learn representations of the IT domain language.
2010
Improving Mention Detection Robustness to Noisy Input
Radu Florian | John Pitrelli | Salim Roukos | Imed Zitouni
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Radu Florian | John Pitrelli | Salim Roukos | Imed Zitouni
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
2009
Classifier Combination Techniques Applied to Coreference Resolution
Smita Vemulapalli | Xiaoqiang Luo | John F. Pitrelli | Imed Zitouni
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Smita Vemulapalli | Xiaoqiang Luo | John F. Pitrelli | Imed Zitouni
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
1992
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Co-authors
- Radu Florian 2
- Salim Roukos 2
- Imed Zitouni 2
- Eleonora Blaauw 1
- Vittorio Castelli 1
- Rishav Chakravarti 1
- Saswati Dana 1
- Anthony Ferritto 1
- Martin Franz 1
- Dinesh Garg 1
- Dinesh Khandelwal 1
- Xiaoqiang Luo 1
- J. Scott McCarley 1
- Michael McCawley 1
- Mohamed Nasr 1
- Lin Pan 1
- Cezar Pendus 1
- Saurabh Pujar 1
- Andrzej Sakrajda 1
- Avirup Sil 1
- Kim E. A. Silverman 1
- Judith Spitz 1
- Rosario Uceda-Sosa 1
- Smita Vemulapalli 1
- Todd Ward 1
- Rong Zhang 1