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2020 – today
- 2024
- [c72]Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi:
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. EMNLP (Findings) 2024: 542-573 - [c71]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 2024: 1131-1139 - [c70]Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. ICML 2024 - [i30]Gaurav Pandey, Yatin Nandwani
, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR abs/2402.02479 (2024) - [i29]Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR abs/2403.04890 (2024) - [i28]G. P. Shrivatsa Bhargav, Sumit Neelam, Udit Sharma, Shajith Ikbal, Dheeraj Sreedhar, Hima Karanam, Sachindra Joshi, Pankaj Dhoolia, Dinesh Garg, Kyle Croutwater, Haode Qi, Eric Wayne, J. William Murdock:
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants. CoRR abs/2406.08848 (2024) - [i27]Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models. CoRR abs/2409.04787 (2024) - 2023
- [c69]Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras:
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. EMNLP 2023: 10335-10347 - [i26]Yatin Nandwani
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. CoRR abs/2305.12191 (2023) - [i25]Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi:
Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems. CoRR abs/2309.05680 (2023) - [i24]Ankita Gupta, Chulaka Gunasekara, Hui Wan, Jatin Ganhotra, Sachindra Joshi, Marina Danilevsky:
Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations. CoRR abs/2311.08705 (2023) - 2022
- [c68]Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings. EMNLP (Findings) 2022: 3273-3287 - [c67]Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam:
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. EMNLP 2022: 10763-10774 - [c66]Hui Wan, Siva Sankalp Patel, J. William Murdock, Saloni Potdar
Fast and Light-Weight Answer Text Retrieval in Dialogue Systems. NAACL-HLT (Industry Papers) 2022: 334-343 - [c65]Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi:
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. NAACL-HLT 2022: 4781-4796 - [c64]Qingyang Wu, Song Feng, Derek Chen, Sachindra Joshi, Luis A. Lastras, Zhou Yu:
DG2: Data Augmentation Through Document Grounded Dialogue Generation. SIGDIAL 2022: 204-216 - [i23]Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings. CoRR abs/2204.02710 (2022) - [i22]Hui Wan, Siva Sankalp Patel, J. William Murdock, Saloni Potdar
Fast and Light-Weight Answer Text Retrieval in Dialogue Systems. CoRR abs/2205.14226 (2022) - [i21]Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi:
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. CoRR abs/2205.14748 (2022) - 2021
- [c63]Pankaj Dhoolia, Vineet Kumar, Danish Contractor, Sachindra Joshi:
Bootstrapping Dialog Models from Human to Human Conversation Logs. AAAI 2021: 16024-16025 - [c62]Kshitij P. Fadnis, Pankaj Dhoolia, Li Zhu, Q. Vera Liao, Steven Ross, Nathaniel Mills, Sachindra Joshi, Luis A. Lastras:
Doc2Bot: Document grounded Bot Framework. AAAI 2021: 16026-16028 - [c61]R. Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki:
Summary Grounded Conversation Generation. ACL/IJCNLP (Findings) 2021: 3748-3756 - [c60]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. ACL/IJCNLP (Findings) 2021: 5051-5061 - [c59]Guy Feigenblat, R. Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov:
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. EMNLP (Findings) 2021: 245-260 - [c58]Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi:
Using Question Answering Rewards to Improve Abstractive Summarization. EMNLP (Findings) 2021: 518-526 - [c57]Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions. EMNLP (Findings) 2021: 1190-1203 - [c56]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. EMNLP (1) 2021: 4348-4366 - [c55]Song Feng, Siva Sankalp Patel, Hui Wan, Sachindra Joshi:
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents. EMNLP (1) 2021: 6162-6176 - [c54]Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. Interspeech 2021: 1254-1258 - [c53]Hanjie Chen, Song Feng
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. NAACL-HLT 2021: 3917-3930 - [c52]Hui Wan, Song Feng
Does Structure Matter? Encoding Documents for Machine Reading Comprehension. NAACL-HLT 2021: 4626-4634 - [i20]Jatin Ganhotra, Sachindra Joshi:
Does Dialog Length matter for Next Response Selection task? An Empirical Study. CoRR abs/2101.09647 (2021) - [i19]Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji:
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. CoRR abs/2104.04488 (2021) - [i18]R. Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki:
Summary Grounded Conversation Generation. CoRR abs/2106.03337 (2021) - [i17]Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury:
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. CoRR abs/2108.08405 (2021) - [i16]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. CoRR abs/2109.07263 (2021) - [i15]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. CoRR abs/2109.07396 (2021) - [i14]Song Feng, Siva Sankalp Patel, Hui Wan, Sachindra Joshi:
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents. CoRR abs/2109.12595 (2021) - [i13]Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov:
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. CoRR abs/2111.11894 (2021) - [i12]Qingyang Wu, Song Feng, Derek Chen, Sachindra Joshi, Luis A. Lastras, Zhou Yu:
DG2: Data Augmentation Through Document Grounded Dialogue Generation. CoRR abs/2112.08342 (2021) - 2020
- [c51]Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. AAAI 2020: 8584-8591 - [c50]Dhiraj Madan, Dinesh Raghu
Unsupervised Learning of Interpretable Dialog Models. ECAI 2020: 2101-2107 - [c49]Kshitij Fadnis, Nathaniel Mills, Jatin Ganhotra, Haggai Roitman, Gaurav Pandey, Doron Cohen, Yosi Mass, Shai Erera, R. Chulaka Gunasekara, Danish Contractor, Siva Sankalp Patel, Q. Vera Liao, Sachindra Joshi, Luis A. Lastras, David Konopnicki:
Agent Assist through Conversation Analysis. EMNLP (Demos) 2020: 151-157 - [c48]Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, R. Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis A. Lastras, David Konopnicki:
Conversational Document Prediction to Assist Customer Care Agents. EMNLP (1) 2020: 349-356 - [c47]Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan:
Effects of Naturalistic Variation in Goal-Oriented Dialog. EMNLP (Findings) 2020: 4013-4020 - [c46]Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason vs Exploiting Patterns. EMNLP (1) 2020: 7263-7269 - [c45]Song Feng
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset. EMNLP (1) 2020: 8118-8128 - [i11]Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. CoRR abs/2003.04976 (2020) - [i10]Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan:
Effects of Naturalistic Variation in Goal-Oriented Dialog. CoRR abs/2010.02260 (2020) - [i9]Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, R. Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis A. Lastras, David Konopnicki:
Conversational Document Prediction to Assist Customer Care Agents. CoRR abs/2010.02305 (2020) - [i8]Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions. CoRR abs/2010.10216 (2020) - [i7]Song Feng, Hui Wan, R. Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis A. Lastras:
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset. CoRR abs/2011.06623 (2020)
2010 – 2019
- 2019
- [c44]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. EMNLP/IJCNLP (1) 2019: 1980-1989 - [c43]Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi:
Multi-Level Memory for Task Oriented Dialogs. NAACL-HLT (1) 2019: 3744-3754 - [i6]Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns. CoRR abs/1909.03759 (2019) - 2018
- [c42]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi:
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. AAAI 2018: 3440-3447 - [c41]Gaurav Pandey, Danish Contractor, Vineet Kumar, Sachindra Joshi:
Exemplar Encoder-Decoder for Neural Conversation Generation. ACL (1) 2018: 1329-1338 - [c40]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
Dialogue-act-driven Conversation Model : An Experimental Study. COLING 2018: 1246-1256 - [i5]Ayushi Dalmia, Sachindra Joshi, Raghavendra Singh, Vikas Raykar:
Styling with Attention to Details. CoRR abs/1807.01182 (2018) - [i4]Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi:
Multi-level Memory for Task Oriented Dialogs. CoRR abs/1810.10647 (2018) - [i3]Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi:
Unsupervised Learning of Interpretable Dialog Models. CoRR abs/1811.01012 (2018) - 2017
- [c39]Sathish Reddy, Dinesh Raghu
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. EACL (1) 2017: 376-385 - [c38]Dhiraj Madan, Sachindra Joshi:
Finding Dominant User Utterances And System Responses in Conversations. IJCNLP(1) 2017: 723-732 - [c37]Vineet Kumar, Sachindra Joshi:
Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning. SIGIR 2017: 705-714 - [i2]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar:
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF. CoRR abs/1709.04250 (2017) - [i1]Dhiraj Madan, Sachindra Joshi:
Finding Dominant User Utterances And System Responses in Conversations. CoRR abs/1710.10609 (2017) - 2016
- [c36]Vineet Kumar, Sachindra Joshi:
Non-sentential Question Resolution using Sequence to Sequence Learning. COLING 2016: 2022-2031 - 2015
- [c35]Dinesh Raghu
A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System. SIGDIAL Conference 2015: 335-343 - 2014
- [c34]Subhabrata Mukherjee, Jitendra Ajmera, Sachindra Joshi:
Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus. CIKM 2014: 929-938 - [c33]Rudra M. Tripathy, Shashank Sharma, Sachindra Joshi, Sameep Mehta, Amitabha Bagchi:
Theme Based Clustering of Tweets. CODS 2014: 1-5 - [c32]Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amol Mittal:
Automatic generation of question answer pairs from noisy case logs. ICDE 2014: 436-447 - [c31]Subhabrata Mukherjee, Sachindra Joshi:
Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews. LREC 2014: 3092-3099 - [c30]Subhabrata Mukherjee, Gaurab Basu, Sachindra Joshi:
Joint Author Sentiment Topic Model. SDM 2014: 370-378 - [c29]Subhabrata Mukherjee, Sachindra Joshi:
Help yourself: a virtual self-assist system. WWW (Companion Volume) 2014: 171-174 - [c28]Subhabrata Mukherjee, Jitendra Ajmera, Sachindra Joshi:
Unsupervised approach for shallow domain ontology construction from corpus. WWW (Companion Volume) 2014: 349-350 - 2013
- [c27]Subhabrata Mukherjee, Sachindra Joshi:
Sentiment Aggregation using ConceptNet Ontology. IJCNLP 2013: 570-578 - [c26]Subhabrata Mukherjee, Gaurab Basu, Sachindra Joshi:
Incorporating author preference in sentiment rating prediction of reviews. WWW (Companion Volume) 2013: 47-48 - 2012
- [j6]Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra:
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. Neurocomputing 77(1): 253-260 (2012) - [j5]Ashwin Srinivasan, Tanveer A. Faruquie, Sachindra Joshi:
Data and task parallelism in ILP using MapReduce. Mach. Learn. 86(1): 141-168 (2012) - [j4]Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma:
Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks. ACM Trans. Knowl. Discov. Data 6(2): 9:1-9:28 (2012) - [c25]Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit P. Sheth:
Finding Influential Authors in Brand-Page Communities. ICWSM 2012 - [c24]Shajith Ikbal, Sachindra Joshi, Ashish Verma, Om D. Deshmukh:
Spoken Document Clustering Using Word Confusion Networks. INTERSPEECH 2012: 1380-1383 - 2011
- [j3]Sachindra Joshi, Danish Contractor, Kenney Ng, Prasad M. Deshpande, Thomas Hampp:
Auto-Grouping Emails For Faster E-Discovery. Proc. VLDB Endow. 4(12): 1284-1294 (2011) - [c23]Sachindra Joshi, Danish Contractor, Sumit Negi:
Labeling Unlabeled Data using Cross-Language Guided Clustering. IJCNLP 2011: 383-391
2000 – 2009
- 2009
- [j2]Lucia Specia
An investigation into feature construction to assist word sense disambiguation. Mach. Learn. 76(1): 109-136 (2009) - [c22]Prasad M. Deshpande, Thomas Hampp, Manjula Hosurmath, Sachindra Joshi, Seema Meena:
Automated Concept Extraction to aid Legal eDiscovery Review. COMAD 2009 - [c21]Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma:
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering. ICDM 2009: 41-50 - [c20]Sumit Negi, Sachindra Joshi, Anup Chalamalla, L. Venkata Subramaniam:
Automatically Extracting Dialog Models from Conversation Transcripts. ICDM 2009: 890-895 - 2008
- [c19]Sanjeet Khaitan, Ganesh Ramakrishnan, Sachindra Joshi, Anup Chalamalla:
RAD: A Scalable Framework for Annotator Development. ICDE 2008: 1624-1627 - [c18]Venkatesan Chakravarthy, Sachindra Joshi, Ganesh Ramakrishnan, Shantanu Godbole, Sreeram Balakrishnan:
Learning Decision Lists with Known Rules for Text Mining. IJCNLP 2008: 835-840 - [c17]Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan:
Feature Construction Using Theory-Guided Sampling and Randomised Search. ILP 2008: 140-157 - [c16]Ganesh Ramakrishnan, Sachindra Joshi, Sanjeet Khaitan, Sreeram Balakrishnan:
Optimization issues in inverted index-based entity annotation. Infoscale 2008: 27 - [c15]Om Deshmukh, Sachindra Joshi, Ashish Verma:
Automatic pronunciation evaluation and classification. INTERSPEECH 2008: 1721-1724 - [c14]Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi:
Structured entity identification and document categorization: two tasks with one joint model. KDD 2008: 25-33 - 2007
- [c13]Shantanu Godbole, Sachindra Joshi, Sameep Mehta, Ganesh Ramakrishnan:
Toward interactive learning by concept ordering. Hypertext 2007: 149-150 - [c12]Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan:
Using ILP to Construct Features for Information Extraction from Semi-structured Text. ILP 2007: 211-224 - 2006
- [c11]Krishna Prasad Chitrapura, Sachindra Joshi, Raghu Krishnapuram:
Search result summarization and disambiguation via contextual dimensions. CIKM 2006: 876-877 - [c10]Ganesh Ramakrishnan, Sreeram Balakrishnan, Sachindra Joshi:
Entity Annotation based on Inverse Index Operations. EMNLP 2006: 492-500 - [c9]Ganesh Ramakrishnan, Sachindra Joshi, Sumit Negi, Raghu Krishnapuram, Sreeram Balakrishnan:
Automatic Sales Lead Generation from Web Data. ICDE 2006: 101 - 2005
- [c8]Neeraj Agrawal, Scott Holmes, Sachindra Joshi, Sumit Negi:
TAP: A Platform for Enabling Enterprises to Develop Business Specific Text Analytic Applications. COMAD 2005: 103-111 - [c7]Delip Rao, Sachindra Joshi, Sreeram Balakrishnan, Ganesh Ramakrishnan:
VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction. COMAD (b) 2005 - 2004
- [j1]Neeraj Agrawal, Rema Ananthanarayanan, Rahul Gupta, Sachindra Joshi, Raghu Krishnapuram, Sumit Negi:
The eShopmonitor: A comprehensive data extraction tool for monitoring Web sites. IBM J. Res. Dev. 48(5-6): 679-692 (2004) - [c6]Shourya Roy, Sachindra Joshi, Raghu Krishnapuram:
Automatic categorization of web sites based on source types. Hypertext 2004: 38-39 - [c5]Neeraj Agrawal, Rema Ananthanarayanan, Rahul Gupta, Sachindra Joshi, Raghu Krishnapuram, Sumit Negi:
EShopMonitor: A Web Content Monitoring Tool. ICDE 2004: 817-820 - 2003
- [c4]Raghu Krishnapuram, Krishna Prasad Chitrapura, Sachindra Joshi:
Classification of Text Documents Based on Minimum System Entropy. ICML 2003: 384-391 - [c3]Sachindra Joshi, Neeraj Agrawal, Raghu Krishnapuram, Sumit Negi:
A bag of paths model for measuring structural similarity in Web documents. KDD 2003: 577-582 - [c2]Bhushan Mandhani, Sachindra Joshi, Krishna Kummamuru:
A matrix density based algorithm to hierarchically co-cluster documents and words. WWW 2003: 511-518 - 2001
- [c1]Amit Anil Nanavati, Krishna Prasad Chitrapura, Sachindra Joshi, Raghu Krishnapuram:
Mining Generalised Disjunctive Association Rules. CIKM 2001: 482-489
Coauthor Index
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