Publications

Book Chapters

Journals

  • Peter Z. Yeh, Deepak Ramachandran, Benjamin Douglas, Adwait Ratnaparkhi, William Jarrold, Ronald Provine, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel, Adam Emfield. (2015). An End-to-End Conversational Second Screen Application for TV Program Discovery. AI Magazine. Vol 26, No. 3. pp. 73-89. 
  • Adwait Ratnaparkhi. (2002). Trainable approaches to surface natural language generation and their application to conversational dialog systems. Computer, Speech & Language. Vol 16., No. 3/4, pp. 435--455.
  • Adwait Ratnaparkhi. (1999). Learning to Parse Natural Language with Maximum Entropy Models. Machine Learning, 34, 151--175.
  • Conferences


  • Xiao Bai, Erik Ordentlich, Yuanyuan Zhang, Andy Feng, Adwait Ratnaparkhi, Reena Somvanshi, Aldi Tjahjadi (2018). Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search. In the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018). Aug 19 -- 23, 2018. London, United Kingdom. 
  • San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John Paisley (2018). Mini-Batch AUC Optimization. In 2018 AdKDD and TargetAd (in conjunction with KDD 2018). Aug 20th, 2018. London, United Kingdom.
  • Parikshit Shah, Ming Yang, Sachidanand Alle, Adwait Ratnaparkhi, Ben Shahshahani, Rohit Chandra (2017). A Practical Exploration System for Search Advertising. In the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2017). Aug 13 -- 17, 2017. Halifax, Nova Scotia, Canada. 
  • Deepak Ramachandran and Adwait Ratnaparkhi (2015). Belief Tracking with Stacked Relational Trees. In 16th Annual SIGDIAL meeting on Discourse and Dialog (SIGDIAL 2015). Prague, Czech Republic.
  • Deepak Ramachandran, Mark Fanty, Ronald Provine, Peter Yeh, William Jarrold, Adwait Ratnaparkhi, and Benjamin Douglas  (2015). A TV Program Discovery Dialog System Using RecommendationsIn 16th Annual SIGDIAL meeting on Discourse and Dialog (SIGDIAL 2015). Prague, Czech Republic.
  • Deepak Ramachandran, Peter Yeh, William Jarrold, Benjamin Douglas, Adwait Ratnaparkhi, Ronald Provine, Jeremy Mendel and Adam Emfield (2014).  An End-to-End Dialog System for TV Program Discovery. In Spoken Language Technology (SLT) Workshop. Dec. 7 -- 10, 2014. South Lake Tahoe, California.
  • Peter Yeh and Adwait Ratnaparkhi. Mining Large-Scale Knowledge Graphs to Discover Inference Paths for Query Expansion in NLIDBAAAI Fall Symposium Series 2014
  • Peter Z. Yeh, Ben Douglas, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, and Jeremy Mendel (2014). A Speech-Driven Second Screen Application for TV Program Discovery. In Twenty-Sixth Conference of Innovative Applications of Artificial Intelligence (IAAI). 2014. Quebec City, Quebec, Canada.
  • Sandeep Pandey, Mohamed Aly, Abraham Bagherjeiran, Andrew Hatch, Peter Ciccolo, Adwait Ratnaparkhi, and Martin Zinkevich (2011). Learning to target: what works for behavioral targeting. In Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11), Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven (Eds.). ACM, New York, NY, USA, 1805-1814.
  • Amruta Joshi, Abraham Bagherjeiran, Adwait Ratnaparkhi (2011). User Demographic and Behavioral Targeting for Content Match Advertising. In 5th International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD 2011). San Diego, CA. 
  • Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi (2011). A Feature-Pair-based Associative Classification Approach to Look-alike Modeling for Conversion-Oriented User-Targeting in Tail Campaigns. In Poster Session of 20th International World Wide Web Conference (WWW 2011). Hyderabad, India.
  • Abraham Bagherjeiran, Andrew Hatch, Adwait Ratnaparkhi, and Rajesh Parekh (2010). Large-Scale Customized Models for Advertisers. In 2010 IEEE International Workshop on Data Mining for Service (DMS 2010). Sydney, Australia.
  • Dragomir Yankov, Suju Rajan, and Adwait Ratnaparkhi (2010). Integer Programming for Multi-Class Active Learning. In 2010 Workshop on Optimization Based Methods for Emerging Data Mining Problems (OEDM 2010). Sydney, Australia.
  • Andrew Hatch, Abraham Bagherjeiran, and Adwait Ratnaparkhi(2010). Clickable Terms for Contextual Advertising. In 4th International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD 2010), Washington D.C.
  • Adwait Ratnaparkhi. Finding predictive queries for behavioral targeting (2010). In 4th International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD 2010), Washington, D.C.
  • Abraham Bagherjeiran, Andrew Hatch, Adwait Ratnaparkhi (2010).Ranking for the Conversion Funnel in Contextual Advertising. SIGIR. Geneva, Switzerland.
  • Suju Rajan, Dragomir Yankov, Scott Gaffney, and Adwait Ratnaparkhi(2010). A large-scale active learning system for topical categorization on the web. The 19th International World Wide Web Conference (WWW), Raleigh, North Carolina, USA.
  • Adwait Ratnaparkhi. (2008) A hidden class page-ad probability model for contextual advertising. In the Workshop on Targeting and Ranking for Online Advertising (TROA), at the 17th International World Wide Web Conference (WWW 2008). Beijing, China.
  • Min Zhao, Hang Li, Adwait Ratnaparkhi, Hsiao-Wuen Hon, Jue Wang. (2006). Adapting Document Ranking to Users' Preferences Using Click-Through Data. Third Asia Information Retrieval Symposium (AIRS 2006). pp 26-42.
  • Abraham Ittycheriah, Martin Franz, Wei-Jing Zhu, and Adwait Ratnaparkhi. (2001). Question Answering Using Maximum-Entropy Components. Proceedings of the North American Chapter of the Association of Computational Linguistics (NAACL).
  • Adwait Ratnaparkhi. (2001). Modeling informational novelty in a conversational system with a hybrid statistical and grammar-based approach to natural language generation. Proceedings of the NAACL Workshop on Adaptation in Dialogue Systems. Pittsburgh, PA, USA.
  • Abraham Ittycheriah, Martin Franz, Wei-Jing Zhu, and Adwait Ratnaparkhi. (2000). IBM's statistical question answering system. In 9th Text Retrieval Conference, Gaithersburg, MD.
  • Adwait Ratnaparkhi. (2000). Trainable Methods for Surface Natural Language Generation. Proceedings of the 1st Meeting of the North American Chapter of the Association of Computational Linguistics (NAACL). Pages 194--201. Seattle, Washington, USA.
  • Adwait Ratnaparkhi. (1998). Unsupervised Statistical Models for Prepositional Phrase Attachment. In Proceedings of the Seventeenth International Conference on Computational Linguistics (ACL-COLING), Montreal, Canada.
  • Adwait Ratnaparkhi. (1997). A Linear Observed Time Statistical Parser Based on Maximum Entropy Models. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing (EMNLP). Brown University, Providence, Rhode Island.
  • Jeffrey C. Reynar and Adwait Ratnaparkhi.(1997). A Maximum Entropy Approach to Identifying Sentence Boundaries. In Proceedings of the Fifth Conference on Applied Natural Language Processing (ANLP), Washington, D.C.
    • The MXTERMINATOR software is here.
  • Adwait Ratnaparkhi. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. In Proceedings of the Empirical Methods in Natural Language Processing Conference (EMNLP), University of Pennsylvania.
    • The MXPOST software is here.
  • Breck Baldwin, Jeff Reynar, Michael Collins, Jason Eisner, Adwait Ratnaparkhi, Joseph Rosenzweig, Anoop Sarkar and B. Srinivas. (1995). University of Pennsylvania: Description of the University of Pennsylvania System Used for MUC-6, in Proceedings of the Sixth Message Understanding Conference.
  • Adwait Ratnaparkhi, Jeff Reynar, and Salim Roukos. (1994). A Maximum Entropy Model for Prepositional Phrase Attachment. In Proceedings of the ARPA Human Language Technology Workshop, pages 250-255.
    • The data used in this paper is here.
  • Adwait Ratnaparkhi, Salim Roukos, and R. Todd Ward.(1994). A Maximum Entropy Model for Parsing. In Proceedings of the International Conference on Spoken Language Processing (ICSLP), pages 803-806. Yokohama, Japan.
  • Fred Jelinek, John Lafferty, David M. Magerman, Robert Mercer, Adwait Ratnaparkhi, and Salim Roukos. (1994). Decision Tree Parsing using a Hidden Derivational Model. In Proceedings of the Human Language Technology Workshop, ARPA, pages 272-277, Plainsboro, N.J.

Reports

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Adwait Ratnaparkhi,
Oct 12, 2016, 9:41 PM
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jmx.tar.gz
(2252k)
Adwait Ratnaparkhi,
Jul 9, 2009, 10:37 PM
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ppa.tar.gz
(761k)
Adwait Ratnaparkhi,
Jul 9, 2009, 10:37 PM
Ċ
Adwait Ratnaparkhi,
Jul 9, 2009, 10:33 PM
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