Handbook/Tutorial

  1. Handbook for Statistical Relational Learning (in progress since a long time)
    Ashwin Srinivasan and Ganesh Ramakrishnan
    CRC Press, USA.


Publications

  1. An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments
    Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan
    Accepted paper at the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.
  2. Synthesis of Programs from Multimodal Datasets
    Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal
    Accepted paper at the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.
  3. Error Detection and Corrections in Indic OCR using LSTMs
    Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan and Mark Carman
    Accepted paper at the International Conference on Document Analysis and Recognition (ICDAR) 2017, Kyoto, Japan..
  4. A Framework for Document Specific Error Detection and Corrections in Indic OCR
    Rohit Saluja, Devaraj Adiga, Ganesh Ramakrishnan, Parag Chaudhuri and Mark Carman
    Accepted paper at the 1st International Workshop on Open Services and Tools for Document Analysis (ICDAR- OST) 2017, Kyoto, Japan.
  5. Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning
    Apoorv Aggarwal, Sandip Ghoshal, Ankith M S, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar and Prateek Jain
    Accepted paper at the 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA.
  6. Beyond clustering: Sub-DAG Discovery for Categorising Documents
    Ramakrishna Bairi, Mark Carman and Ganesh Ramakrishnan
    Accepted paper at the 25th International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA.
  7. A Framework for Task-specific Short Document Expansion
    Ramakrishna Bairi, Raghavendra Udupa and Ganesh Ramakrishnan
    Accepted paper at the 25th International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA.
  8. Explicit Query Interpretation and Diversification for Context-driven Concept Search across Ontologies
    Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan
    Accepted paper at the 15th International Semantic Web Conference (ISWC-16), Kobe, Japan.
  9. Interactive Martingale Boosting
    Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan
    Accepted paper at the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), New York, USA.
  10. Numerical Relation Extraction with Minimal Supervision
    Aman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi
    Proceedings of the Thirtieth Conference on Artificial Intelligence, AAAI 2016, Phoenix, Arizona USA.
  11. Building Compact Lexicons for Cross-Domain SMT by mining near-optimal Pattern Sets
    Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan
    Accepted paper at the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016.
  12. Query Expansion in Resource Scarce Languages: A Multilingual Framework Utilizing Document Structure
    Arjun Atreya, Ashish Kankaria, Pushpak Bhattacharyya and Ganesh Ramakrishnan
    Accepted at ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
  13. Learning to Collectively Link Entities
    Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan
    In Proceedings of the third IKDD Conference on Data Science (CoDS), 2016.
  14. Summarizing Multi-Document Topic Hierarchies using Submodular Mixtures
    Ramakrishna Bairi, Rishabh Iyer, Ganesh Ramakrishnan and Jeff Bilmes
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), Beijing, China, July - 2015
  15. Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
    Gholamreza Haffari, Ajay Nagesh and Ganesh Ramakrishnan
    In the Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2015.
  16. Generalized Hierarchical Kernel Learning.
    Pratik Jawapuria, J. SakethaNath and Ganesh Ramakrishnan
    Journal of Machine Learning Research, 16(Mar):617652, 2015.
  17. Context-driven Concept Search across Web Ontologies using Keyword Queries
    Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan
    In the Proceedings of the Eighth International Conference on Knowledge Capture (Short paper), 2015.
  18. A Machine Assisted Human Translation System for Technical Documents
    Vishwajeet Kumar, Ashish Kulkarni, Pankaj Singh, Ganesh Ramakrishnan, Ganesh Arnaal
    In the Proceedings of the Eighth International Conference on Knowledge Capture (Short paper), 2015.
  19. Thinking, Pairing, and Sharing to Improve Learning and Engagement in a Data Structures and Algorithms (DSA) Class.
    Patil Deepti Reddy, Shitanshu Mishra, Ganesh Ramakrishnan, Sahana Murthy
    In the Proceedings of the 2015 International Conference on Learning and Teaching in Computing and Engineering, LaTiCE 2015, Taipei, Taiwan
  20. Noisy Or-based model for Relation Extraction using Distant Supervision
    Ajay Nagesh, Gholamreza Haffari and Ganesh Ramakrishnan
    Accepted for publication at EMNLP 2014
  21. Personalized classifiers: evolving a classifier from a large reference knowledge graph
    Ramakrishna B. Bairi, Ganesh Ramakrishnan and Vikas Sindhwani
    IDEAS 2014
  22. Efficient Reuse of Structured and Unstructured Resources for Ontology Population
    Chetana Gavankar, Ashish Kulkarni and Ganesh Ramakrishnan
    LREC 2014
  23. Enriching Concept Search across Semantic Web Ontologies
    Chetana Gavankar, Vishwajeet Kumar, Yuan-Fang Li and Ganesh Ramakrishnan
    Accepted for publication at the 12th International Semantic Web Conference, 2013 (Poster as well as a Demo)
  24. Semi-automatic Dictionary Curation for Domain-specific Ontologies
    Ashish Kulkarni, Chetana Gavankar, Ganesh Ramakrishnan and Sriram Raghavan
    Accepted for publication at the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2013
  25. Learning to Generate Diversified Query Interpretations using Biconvex Optimization
    Ramakrishna Bairi, Ambha, Ganesh Ramakrishnan
    Accepted for publication at the 6th International Joint Conference on Natural Language Processing, 2013
  26. Structure Cognizant Pseudo Relevance Feedback
    Arjun Atreya, Pushpak Bhattacharyya, Ganesh Ramakrishnan
    Accepted for publication at the 6th International Joint Conference on Natural Language Processing, 2013
  27. Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces
    Ajay Nagesh, Naveen Nair and Ganesh Ramakrishnan
    At the 23rd International Conference on Inductive Logic Programming, 2013
  28. SATTY : Word Sense Induction Application in Web Search Clustering
    Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi and Ganesh Ramakrishnan
    Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
  29. Data-based research at IIT Bombay
    Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan
    SIGMOD Record 42(1), 2013
  30. Towards Efficient Named-Entity Rule Induction for Customizability
    Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya
    Accepted paper in EMNLP 2012
  31. Compressed Data Structures for Annotated Web Search
    Sasidhar Kasturi, Bharath Balakrishnan, Soumen Chakrabarti, Ganesh Ramakrishnan, and Rohit Saraf
    WWW 2012, Lyon, France
  32. Efficent Rule Ensemble Learning in Structured Outpt Spaces
    Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy
    Accepted paper in the Twenty-Sixth Conference on Artificial Intelligence, AAAI 2012, Toronto, Canada (Invited to Machine Learning Journal Special Issue on ILP'13)
  33. What Kinds of Relational Features are Useful for Statistical Learning?
    Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan
    Accepted paper in ILP 2012
  34. Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
    Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan
    Accepted paper in ILP 2012
  35. Using Sequential Unconstrained Minimization Techniques to Simplify SVM Solvers
    Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra
    Accepted for publication in Neurocomputing 2012
  36. Discovering Customer Intent in Real-time for Streamlining Service Desk Conversations
    Ullas Nambiar, Tanveer Faruquie, Venkata Subramaniam, Sumit Negi, Ganesh Ramakrishnan
    Accepted paper in the 20th ACM Conference on Information and Knowledge Management (CIKM 2011)
  37. Efficient Rule Ensemble Learning using Hierarchical Kernels
    Pratik Jawanpuria, Saketha Nath and Ganesh Ramakrishnan
    Accepted paper in the 28th International Conference on Machine Learning, 2011
  38. Parameter Screening and Optimisation for ILP using Designed Experiments
    Ashwin Srinivasan, Ganesh Ramakrishnan
    Accepted for publication in the Journal of Machine Learning Research 11 (2010) 3481-3516
  39. Web-scale Entity-Relation Search Architecture
    Devshree Sane, Soumen Chakrabarti, Ganesh Ramakrishnan
    Poster at the 20th International World Wide Web Conference, 2011
  40. Enhancing Activity Recognition in Smart Homes Using Feature Induction
    Naveen Nair, Ganesh Ramakrishnan and Shonali Krishnaswamy
    Accepted for publication in DaWaK 2011
  41. BET: An ILP workbench
    Srihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Chander Iyer, Kiran T V S, Kekin Gada and Ashwin Srinivasan
    ILP 2010, Florence, Italy
  42. Pruning Search Space for Weighted First Order Horn Clause Satisfiability
    Naveen Nair, Chander Jayaraman, Kiran TVS and Ganesh Ramakrishnan
    ILP 2010, Florence, Italy
  43. An Investigation into Feature Construction to Assist Word Sense Disambiguation
    Lucia Specia1, Ashwin Srinivasan, Ganesh Ramakrishnan, Sachindra Joshi and Maria das Gracas Volpe Nunes
    Machine Learning 76(1): 109-136 (2009)
  44. Using Entity Annotations to Improve Quantity Concensus Queries
    Amit Singh, Sayali Kulkarni, Ganesh Ramakrishnan and Soumen Chakrabarti
    15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Demo Track, SIGKDD 2009, Paris, France
  45. Collective annotation of Wikipedia entities in Web text
    Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan and Soumen Chakrabarti
    15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, SIGKDD 2009, Paris, France
  46. Learning to rank for quantity consensus queries
    Somnath Banerjee, Soumen Chakrabarti and Ganesh Ramakrishnan
    32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, Massachusetts, USA
  47. Tunable Feature Weights for Flexible Text Retrieval
    Natwar Modani, Ganesh Ramakrishnan and Shantanu Godbole
    SNA-KDD 2009, Paris, France
  48. Parameter Screening and Optimisation for ILP using Designed Experiments
    Ashwin Srinivasan and Ganesh Ramakrishnan
    ILP 2009, Leuven, Belgium
  49. Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
    Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya
    ILP 2009, Leuven, Belgium
  50. Application of Theory of Optimal Search to ILP
    Srihari Kalgi, Chirag Gosar, Ganesh Ramakrishnan and Ashwin Srinivasan
    ILP 2009, Leuven, Belgium
  51. Identification of Class Specific Discourse Patterns
    Anup Kumar Chalamalla, Sumit Negi, L. Venkata Subramaniam, Ganesh Ramakrishnan
    ACM 17th Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, California October 26-30, 2008
  52. Feature Construction using Theory-Guided Sampling and Randomised Search
    Sachindra Joshi, Ganesh Ramakrishnan, and Ashwin Srinivasan
    18th International Conference on Inductive Logic Programming (ILP 2008), Prague, Czech Republic, September 10-12, 2008.
  53. Optimization Issues in Inverted Index-based Entity Annotation
    Ganesh Ramakrishnan, Sachindra Joshi, Sanjeet Khaitan, Sreeram Balakrishnan
    The Third International ICST Conference on Scalable Information Systems (Infoscale 2008), June 4-6, 2008, Napoli, Italy
  54. RAD: A Scalable Framework for Annotator Development
    Sanjeet Khaitan, Ganesh Ramakrishnan, Sachindra Joshi, Anup Chalamalla
    The 24nd International Conference on Data Engineering (ICDE 2008), April 7-12, 2008, Cancun, Mexico.
  55. Learning Decision Lists with Known Rules for Text Mining
    Venkatesan Chakravarthy, Sachindra Joshi, Ganesh Ramakrishnan, Shantanu Godbole and Sreeram Balakrishnan
    The Third International Joint Conference on Natural Language Processing (IJCNLP 2008), January 7-12, 2008, Hyderabad, India
  56. Towards Interactive Learning by Concept Ordering
    Shantanu Godbole, Sachindra Joshi, Sameep Mehta, Ganesh Ramakrishnan
    The Eighteenth ACM Conference on Hypertext and Hypermedia (HT 07), Manchester, UK 10th - 12th September 2007
  57. Using ILP to Construct Features for Information Extraction from Semi-Structured Text
    Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan,
    17th International Conference on Inductive Logic Programming (ILP 2007), Oregon State University - Corvallis, OR - USA, June 19-21, 2007.
  58. USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007
    Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan and Maria das Gracas Volpe Nunes,
    Proceedings of the ACL SEMEVAL 2007, Prague, Czech Republic, June 23rd-24th 2007.
  59. Aggregating Contextual Patterns for Information Extraction
    Sachindra Joshi, Ganesh Ramakrishnan, Sreeram Balakrishnan, Ashwin Srinivasan,
    IJCAI 2007 Workshop on Text Mining and Link Analysis, Jan 6-12, 2007.
  60. Word Sense Disambiguation using Inductive Logic Programming
    Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das GraƧ Volpe,
    16th International Conference on Inductive Logic Programming (ILP 2006), Santiago, Spain, August 24-27, 2006.
  61. Entity Annotation using Inverse Index Operations
    Ganesh Ramakrishnan,Sreeram Balakrishnan and Sachindra Joshi,
    Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney, Australia, July 22-23, 2006.
  62. Automatic Sales Lead Generation from Web Data
    Ganesh Ramakrishnan, Sachindra Joshi, Sumit Negi, Raghu Krishnapuram, Sreeram Balakrishnan,
    The 22nd International Conference on Data Engineering (ICDE 2006), Atlanta, GA, U.S.A, April 3-8, 2006.
  63. VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction
    Delip Rao, Sachindra Joshi, Ganesh Ramakrishnan, Avishkar Misra, Sreeram Balakrishnan, Ashwin Srinivasan
    12th International Conference on Management of Data, COMAD 2005b, IIIT, Hyderabad.
  64. Book Chapter: Question Answering Using Word Associations
    Ganesh Ramakrishnan and Pushpak Bhattacharyya
    Handbook of Research on Text and Web Mining Technologies, Edited by Min Song and Yi-Fang Wu, Published by Idea Group Inc., USA
  65. Text Classification with Evolving Label-sets
    Shantanu Godbole, Ganesh Ramakrishnan, Sunita Sarawagi
    The Fifth IEEE International Conference on Data Mining (ICDM 2005), Houston, Texas, U.S.A, 27-30 November, 2005.
  66. A model for handling approximate, noisy or incomplete labeling in text classification
    Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, and Pushpak Bhattacharya,
    The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005
  67. A Structure-sensitive framework for Text Categorization
    Ganesh Ramakrishnan, Deepa Paranjpe, Byron Dom,
    ACM Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, 31 October-5 November, 2005.
  68. Is Question Answering an acquired skill ?
    Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Paranjpe, Pushpak Bhattacharyya ,
    The Thirteenth International World Wide Web Conference (WWW2004), New York City, 17-22 May 2004
  69. A Gloss Centered Algorithm for Word Sense Disambiguation
    Ganesh Ramakrishnan, B. Prithviraj, Pushpak Bhattacharyya ,
    Proceedings of the ACL SENSEVAL 2004, Barcelona, Spain.
  70. Generic Text Summarization Using WordNet
    Ganesh Ramakrishnan, Kedar Bellare, Anish Das Sarma, Atish Das Sarma, Navneet Loiwal, Vaibhav Mehta, Pushpak Bhattacharyya ,
    In proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, May 2004.
  71. Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations
    Deepa Paranjpe, Ganesh Ramakrishnan, Sumana Srinivasan
    The Twelfth Text REtrieval Conference (TREC 2003), National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 2003.
  72. Generic Text Summarization Using Wordnet for Novelty and Hard
    Ganesh Ramakrishnan, Kedar Bellare, Chirag Shah, Deepa Paranjpe
    The Twelfth Text REtrieval Conference (TREC 2003), National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 2003.
  73. Question Answering using Bayesian Inferencing on Lexical Relations
    Ganesh Ramakrishnan, Apoorva Jadhav, Ashutosh Joshi, Soumen Chakrabarti, Pushpak Bhattacharyya
    ACL 2003, Workshop on Question Answering and Text Summarization
  74. Soft Word Sense Disambiguation
    Ganesh Ramakrishnan, Pritviraj, Deepa, Pushpak Bhattacharyya, Soumen Chakrabarti
    International Conference on Global Wordnet (GWC 04), Brno, Czeck Republic, January, 2004
  75. Text Representation with WordNet synsets: A soft sense disambiguation approach
    Ganesh Ramakrishnan and Pushpak Bhattacharyya
    8th International Conference on Applications of Natural Language to Information Systems, NLDB'2003 , Burg, Germany. Published as lecture notes of LNI, Berlin.
    Also to appear in ISI-NIS Journal, Special Issue on Application of Natural Language to Information systems
  76. Word Sense Disambiguation Using Semantic Sets based on WordNet
    Ganesh Ramakrishnan and P. Bhattacharyya.
    Third International Conference on Language Resources and Evaluation (LREC2002) , Canary, Spain, May 2002.
  77. Using Wordnet Based Semantic Sets for Word Sense Disambiguation and Keyword Extraction
    G. Ramakrishnan and P. Bhattacharyya
    International Conference on Knowledge Based Computer Systems (KBCS 2002) , Mumbai, India, December, 2002.

Tutorials

  1. Graphical Models for Machine Learning in Natural Language Processing
    Pushpak Bhattacharyya and Ganesh Ramakrishnan,
    Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderbad, India, January 6-12, 2007.
  2. Graphical Models for Machine Learning in Natural Language Processing
    Pushpak Bhattacharyya and Ganesh Ramakrishnan,
    International Conference on Natural Language Processing (ICON 2005), IIT Kanpur, India, December, 2005.