- Breen, A. Bui, H. H. Crouch, R. Farrell, K. Faubel, F. Gemello, R. Ganong III, W. F. Haulick, T. Kaplan, R. M. Ortiz, C. L. Patel-Schneider, P. F. Quast, H. Ratnaparkhi, A. Sejnoha, V. Shen, J. Stubley, P. and Mulbregt, P. (2014) Voice within the Interface, in Interactive Displays: Natural Human-Interface Technologies (erection disorder AKay. Bhowmik), John Wiley Sons, Limited, Chichester, United kingdom. doi: 10.1002/9781118706237.ch3
- Adwait Ratnaparkhi. (2010). Maximum Entropy Models for Natural Language Processing. In Encyclopedia of Machine Learning (editors: Claude Sammut and Geoffrey Webb), Part 14, pp. 647-651 .
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 Television Show Discovery Dialog System Using Recommendations. In 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 Finish-to-Finish Dialog System for Television Show Discovery. In Spoken Language Technology (SLT) Workshop. 12 ,. 7 — 10, 2014. South Lake Tahoe, California.
Peter Yeh and Adwait Ratnaparkhi. Mining Large-Scale Understanding Graphs to uncover Inference Pathways for Query Expansion in NLIDB. AAAI 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 Domain-Driven Second Screen Application for Television Show Discovery. In Twenty-Sixth Conference of Innovative Applying Artificial Intelligence (IAAI). 2014. Quebec City, Quebec, Canada.
Sandeep Pandey, Mohamed Aly, Abraham Bagherjeiran, Andrew Hatch, Peter Ciccolo, Adwait Ratnaparkhi, and Martin Zinkevich (2011). Finding out how to target: stuff that use behavior targeting. In Proceedings within the 20th ACM worldwide conference on Information and understanding management (CIKM ’11), Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven (Eds.). ACM, New You can, NY, USA, 1805-1814.
Amruta Joshi, Abraham Bagherjeiran, Adwait Ratnaparkhi (2011). User Demographic and Behavior Targeting for Content Match Advertising. In fifth Worldwide Workshop on Data Mining and Audience Intelligence to market (ADKDD 2011). Hillcrest, CA.
Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi (2011). An Element-Pair-based Associative Classification Method of Look-alike Modeling for Conversion-Oriented User-Targeting in Tail Campaigns. In Poster Session of 20th Worldwide Internet Conference (Internet 2011). Hyderabad, India.
Abraham Bagherjeiran, Andrew Hatch, Adwait Ratnaparkhi, and Rajesh Parekh (2010). Large-Scale Customized Models for Advertisers. This Year IEEE Worldwide Workshop on Data Mining for Service (DMS 2010).
Dragomir Yankov, Suju Rajan, and Adwait Ratnaparkhi (2010). Integer Programming for Multi-Class Active Learning. This Year Workshop on Optimization Based Method of Emerging Data Mining Problems (OEDM 2010). Sydney, Australia.
Andrew Hatch, Abraham Bagherjeiran, and Adwait Ratnaparkhi(2010). Clickable Terms for Contextual Advertising. In fourth Worldwide Workshop on Data Mining and Audience Intelligence to market (ADKDD 2010), Washington D.C.
Adwait Ratnaparkhi. Finding predictive queries for behavior targeting (2010). In fourth Worldwide Workshop on Data Mining and Audience Intelligence to market (ADKDD 2010), Washington, D.C.
Abraham Bagherjeiran, Andrew Hatch, Adwait Ratnaparkhi (2010).Ranking for the Conversion Funnel in Contextual Advertising. SIGIR. Geneva, Europe.
Suju Rajan, Dragomir Yankov, Scott Gaffney, and Adwait Ratnaparkhi(2010). A large-scale active learning system for topical categorization on the internet. The 19th Worldwide Internet Conference (Internet), Raleigh, New You’ll be able to, USA.
Adwait Ratnaparkhi. (2008)A concealed class page-ad probability model for contextual advertising. Within the Workshop on Targeting and Ranking for Internet Marketing (TROA), inside the 17th Worldwide Internet Conference (Internet 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 in the united states . States Chapter within the Association of Computational Linguistics (NAACL).
Adwait Ratnaparkhi. (2001). Modeling informational novelty within the conversational system obtaining a hybrid record and grammar-based method of natural language generation. Proceedings within the NAACL Workshop on Adaptation in Dialogue Systems. Pittsburgh, PA, USA.
Abraham Ittycheriah, Martin Franz, Wei-Jing Zhu, and Adwait Ratnaparkhi. (2000). IBM’s record question answering system. In ninth Text Retrieval Conference, Gaithersburg, MD.
Adwait Ratnaparkhi. (2000). Trainable Method of Surface Natural Language Generation. Proceedings within the first Meeting in the united states . States Chapter within the Association of Computational Linguistics (NAACL). Pages 194–201. Dallas, Washington, USA.
Adwait Ratnaparkhi. (1998). Not viewed Record Models for Prepositional Phrase Attachment. In Proceedings within the Seventeenth Worldwide Conference on Computational Linguistics (ACL-COLING), Montreal, Canada.
Adwait Ratnaparkhi. (1997). A Vertical line Observed Time Record Parser According to Maximum Entropy Models. In Proceedings within the Second Conference on Empirical Methods in Natural Language Processing (EMNLP). Brown College, Providence, Rhode Island.
Jeffrey C. Reynar and Adwait Ratnaparkhi.(1997). The Perfect Entropy Method of Identifying Sentence Limitations. In Proceedings within the Fifth Conference on Applied Natural Language Processing (ANLP), Washington, D.C.
Adwait Ratnaparkhi. (1996). The Perfect Entropy Model for Part-Of-Speech Tagging. In Proceedings within the Empirical Methods in Natural Language Processing Conference (EMNLP), College of Pennsylvania.
- The MXTERMINATOR applications are here .
Breck Baldwin, Take advantage of Reynar, Michael Collins, Jason Eisner, Adwait Ratnaparkhi, Ernest Rosenzweig, Anoop Sarkar and B. Srinivas. (1995). College of Pennsylvania: Description within the College of Pennsylvania System Helpful for MUC-6, in Proceedings within the Sixth Message Understanding Conference.
Adwait Ratnaparkhi, Take advantage of Reynar, and Salim Roukos. (1994). The Perfect Entropy Model for Prepositional Phrase Attachment. In Proceedings within the ARPA Human Language Technology Workshop, pages 250-255.
- The MXPOST applications are here .
Adwait Ratnaparkhi, Salim Roukos, and R. Todd Ward.(1994). The Perfect Entropy Model for Parsing. In Proceedings within the Worldwide 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 having a Hidden Derivational Model. In Proceedings within the Human Language Technology Workshop, ARPA, pages 272-277, Plainsboro, N.J.
- The information present in this paper can be used .
Tutorial. Finding out how to Resolve Natural Language Ambiguities while using the Maximum Entropy Framework. European Chapter within the Assocation for Computational Linguistics (EACL), June 1999, Bergen, Norwegian.
Roseanne 30/09/2015 5:11:46
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