Handbook/Tutorial

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


Publications

  1. GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning [source code, Video]
    Krishnateja Killamsetty, Durga S, Ganesh Ramakrishnan, and Rishabh Iyer
    In Proceedings of The 35th AAAI Conference on Artificial Intelligence (AAAI 2021).
  2. Training Data Subset Selection for Regression With Controlled Generalization Error [source code]
    Durga Sivasubramanian, Rishabh Iyer, Ganesh Ramakrishnan, Abir De
    Accepted paper at the 38th International Conference on Machine Learning (ICML 2021).
  3. GRAD-MATCH: Gradient Matching based Data Subset Selection for EfficientDeep Model Training [source code, Video]
    Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh Iyer
    Accepted paper at the 38th International Conference on Machine Learning (ICML 2021).
  4. Semi-Supervised Data Programming with Subset Selection [source code, Video]
    Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh Iyer
    Accepted paper at the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021 Findings).
  5. Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights [source code, corpus]
    Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal
    Accepted paper at the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021 Findings).
  6. Rule Augmented Unsupervised Constituency Parsing [source code]
    Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh Iyer
    Accepted paper at the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021 Findings).
  7. Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting [source code]
    Sravya Shivapuja, Mansi Khamkar, Divij Bajaj, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla
    Accepted at The 29th ACM International Conference on Multimedia (ACMM 2021)
  8. Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering [data and source code]
    Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti
    Accepted paper at the 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR), Resource Track, 2021.
  9. Cross-Modal learning for Audio-Visual Video Parsing [data and source code]
    Jatin Lamba, Jayaprakash Akula, Abhishek ., Rishabh Dabral, Ganesh Ramakrishnan and Preethi Jyothi
    Accepted paper at The 22nd INTERSPEECH Conference (Interspeech 2021), Virtual Event.
  10. Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification [source code, talk link]
    Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan and Saketha Nath Jagaralpudi
    In Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021).
  11. Meta-Learning for Effective Multi-task and Multilingual Modelling [source code, talk link]
    Ishan Tarunesh, Sushil Khyalia, Vishwajeet kumar, Ganesh Ramakrishnan and Preethi Jyothi
    In Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021).
  12. Unsupervised Learning of Explainable Parse Trees for Improved Generalisation [source code]
    Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
    Accepted Paper at The International Joint Conference on Neural Network (IJCNN), 2021.
  13. Exploration of Spatial and Temporal Modeling Alternatives for HOI [presentation, source code]
    Rishabh Dabral Srijon Sarkar Sai Praneeth Reddy Ganesh Ramakrishnan
    In Proceedings of The 9th IEEE Winter Conference on Applications of Computer Vision (WACV 2021).
  14. LIGHTEN: Learning Interactions with Graph and Heirarchical TEmporal Networks for HOI in videos [source code]
    Sai Praneeth Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan
    In Proceedings of The 28th ACM International Conference on Multimedia (ACMM 2020), Seattle, USA.
  15. Data Programming using Continuous and Quality-Guided Labeling Function [source code, Video]
    Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi.
    In Proceedings of The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
  16. Caption Alignment for Low Resource Audio-Visual Data [Data and source code]
    Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Japrakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari and Pankaj Singh
    In Proceedings of The 21st INTERSPEECH Conference (Interspeech 2020), Shanghai, China.
  17. Watch Hours in Minutes: Summarizing Videos with User Intent
    Saiteja Nalla, Mohit Agrawal, Vishal Kaushal, Ganesh Ramakrishnan and Rishabh Iyer
    In Proceedings of the ECCV Workshop on Video Turing Test: Toward Human-Level Video Story Understanding, 2020.
  18. Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework
    Vishal Kaushal, Suraj Kothawade, Rishabh Iyer, Ganesh Ramakrishnan
    AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery, ACMM, 2020.
  19. Cross-Lingual Training for Automatic Question Generation [source code, data]
    Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan and Preethi Jyothi
    In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019, Florence, Italy.
  20. Sub-word Embeddings for OCR Corrections in highly Fusional Indic Languages [source code, video of demo system]
    Rohit Saluja, Mayur Punjabi, Mark Carman, Ganesh Ramakrishnan and Parag Chaudhuri
    In Proceedings of The 15th International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia
  21. OCR On-the-Go: Robust End-to-end Systems for Reading License Plates and Street Signs [source code, video of demo system]
    Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri and Mark Carman
    In Proceedings of The 15th International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia
  22. StreetOCRCorrect: An Interactive Framework forOCR Corrections in Chaotic Indian Street Videos [source code, video of demo system]
    Pankaj Singh, Bhavya Patwa, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri and Mark Carman
    In Proceedings of The 2nd International Workshop on Open Services and Tools for Document Analysis, associated with the 15th International Conference on Document Analysis and Recognition (ICDAR-OST 2019), Sydney, Australia
  23. Putting the Horse Before the Cart: A Generator-Evaluator Framework for Question Generation from Text
    Vishwajeet kumar, Ganesh Ramakrishnan and Yuan-Fang Li
    In Proceedings of The SIGNLL Conference on Computational Natural Language Learning, CoNLL 2019, Hong Kong.
  24. ParaQG: A System for Generating Questions and Answers from Paragraphs
    Vishwajeet kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan and Yuan-Fang Li
    In Proceedings of The 2019 Conference on Empirical Methods in Natural Language Processing, EMNLP 2019, Hong Kong (Demo paper).
  25. Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs [source code]
    Vishwajeet Kumar, Yuncheng Hua, Guilin Qi, Ganesh Ramakrishnan, Lianli Gao and Yuan-Fang Li
    In Proceedings of The 18th International Semantic Web Conference, ISWC 2019, The University of Auckland, New Zealand.
  26. A Framework towards Domain Specific Video Summarization
    Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh Iyer, Ganesh Ramakrishnan
    In Proceedings of The 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.
  27. Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks
    Vishal Kaushal, Rishabh Iyer, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju, Ganesh Ramakrishnan
    In Proceedings of The 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.
  28. Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance
    Vishal Kaushal, Rishabh Iyer, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
    In Proceedings of The 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.
  29. Multi-Person 3D Pose Estimation
    Rishabh Dabral, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain
    In Proceedings of The 7th International Conference on 3D Vision, 3DV 2019, Québec, Canada
  30. Anomaly Detection in Surveillance Videos[source code]
    Sukalyan Bhakat, Ganesh Ramakrishnan
    Best demo paper award. In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, CoDS-COMAD '19, Kolkota, India.
  31. Representation Learning on Graphs by Integrating Content and Structure Information
    Ayush Maheshwari, Ayush Goyal, Amit Kumar, Manjesh K Hanawal, Ganesh Ramakrishnan
    In Proceedings of the 11th International Conference on COMmunication Systems & NETworkS, COMSNETS '19, Bengaluru, India.
  32. An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments[source code, Video]
    Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.
  33. Synthesis of Programs from Multimodal Datasets
    Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.
  34. Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus
    Uma Sawant, Saurabh Garg, Soumen Chakrabarti, Ganesh Ramakrishnan. Information Retrieval Journal. Short version published as Open-domain question answering using a knowledge graph and Web corpus
    Uma Sawant, Soumen Chakrabarti and Ganesh Ramakrishnan
    ACM SIGWEB Newsletter (invited). 2018.
  35. Time Aggregation Operators for Multi-label Audio Event Detection
    Pankaj Joshi, Digvijay Gautam, Ganesh Ramakrishnan, Preethi Jyothi
    In Proceedings of Interspeech 2018, Hyderabad, India.
  36. Automating reading comprehension by generating question and answer pairs
    Vishwajeet Kumar, Kreeti Boorla, Yogesh Meena, Ganesh Ramakrishnan, Yuan Fang Li
    In Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-18), Melbourne, Australia.
  37. Entity Resolution and Location Disambiguation in Ancient Hindu Temples Domain Using Web Data
    Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan and J. Saketha Nath
    In Proceedings of the demo track of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2018, New Orleans, Louisiana, USA.
  38. Improving the learnability of classifiers for Sanskrit OCR corrections
    Devaraja Adiga, Rohit Saluja, Vaibhav Agrawal, Ganesh Ramakrishnan, Parag Chaudhuri, K. Ramasubramanian and Malhar Kulkarni1
    In Proceedings of the 17th World Sanskrit Conference, Vancouver, 2018.
  39. Error Detection and Corrections in Indic OCR using LSTMs
    Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan and Mark Carman
    In Proceedings of the International Conference on Document Analysis and Recognition (ICDAR) 2017, Kyoto, Japan..
  40. A Framework for Document Specific Error Detection and Corrections in Indic OCR
    Rohit Saluja, Devaraj Adiga, Ganesh Ramakrishnan, Parag Chaudhuri and Mark Carman
    In Proceedings of the 1st International Workshop on Open Services and Tools for Document Analysis (ICDAR- OST) 2017, Kyoto, Japan.
  41. 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
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA.
  42. Beyond clustering: Sub-DAG Discovery for Categorising Documents
    Ramakrishna Bairi, Mark Carman and Ganesh Ramakrishnan
    In Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA.
  43. A Framework for Task-specific Short Document Expansion
    Ramakrishna Bairi, Raghavendra Udupa and Ganesh Ramakrishnan
    In Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA.
  44. Explicit Query Interpretation and Diversification for Context-driven Concept Search across Ontologies
    Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan
    In Proceedings of the 15th International Semantic Web Conference (ISWC-16), Kobe, Japan.
  45. Interactive Martingale Boosting
    Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), New York, USA.
  46. Numerical Relation Extraction with Minimal Supervision
    Aman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi
    In Proceedings of the Thirtieth Conference on Artificial Intelligence, AAAI 2016, Phoenix, Arizona USA.
  47. Building Compact Lexicons for Cross-Domain SMT by mining near-optimal Pattern Sets
    Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan
    In Proceedings of the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016.
  48. Query Expansion in Resource Scarce Languages: A Multilingual Framework Utilizing Document Structure
    Arjun Atreya, Ashish Kankaria, Pushpak Bhattacharyya and Ganesh Ramakrishnan
    In Proceedings of the ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
  49. 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.
  50. 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
  51. 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.
  52. Generalized Hierarchical Kernel Learning.
    Pratik Jawapuria, J. SakethaNath and Ganesh Ramakrishnan
    Journal of Machine Learning Research, 16(Mar):617652, 2015.
  53. 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.
  54. 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.
  55. 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
  56. Noisy Or-based model for Relation Extraction using Distant Supervision
    Ajay Nagesh, Gholamreza Haffari and Ganesh Ramakrishnan
    In Proceedings of The 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, Doha, Qatar
  57. Personalized classifiers: evolving a classifier from a large reference knowledge graph
    Ramakrishna B. Bairi, Ganesh Ramakrishnan and Vikas Sindhwani
    IDEAS 2014
  58. Efficient Reuse of Structured and Unstructured Resources for Ontology Population
    Chetana Gavankar, Ashish Kulkarni and Ganesh Ramakrishnan
    LREC 2014
  59. Enriching Concept Search across Semantic Web Ontologies
    Chetana Gavankar, Vishwajeet Kumar, Yuan-Fang Li and Ganesh Ramakrishnan
    In Proceedings of the 12th International Semantic Web Conference, 2013 (Poster as well as a Demo)
  60. Semi-automatic Dictionary Curation for Domain-specific Ontologies
    Ashish Kulkarni, Chetana Gavankar, Ganesh Ramakrishnan and Sriram Raghavan
    In Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2013
  61. Learning to Generate Diversified Query Interpretations using Biconvex Optimization
    Ramakrishna Bairi, Ambha, Ganesh Ramakrishnan
    In Proceedings of the 6th International Joint Conference on Natural Language Processing, 2013
  62. Structure Cognizant Pseudo Relevance Feedback
    Arjun Atreya, Pushpak Bhattacharyya, Ganesh Ramakrishnan
    In Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP), 2013, Nagoya, Japan.
  63. Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces
    Ajay Nagesh, Naveen Nair and Ganesh Ramakrishnan
    In Proceedings of the 23rd International Conference on Inductive Logic Programming (ILP), 2013, Rio De Janerio, Brazil.
  64. SATTY : Word Sense Induction Application in Web Search Clustering
    Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi and Ganesh Ramakrishnan
    In Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
  65. Data-based research at IIT Bombay
    Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan
    In SIGMOD Record 42(1), 2013
  66. Towards Efficient Named-Entity Rule Induction for Customizability
    Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya
    In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2012, Jeju, Korea.
  67. Compressed Data Structures for Annotated Web Search
    Sasidhar Kasturi, Bharath Balakrishnan, Soumen Chakrabarti, Ganesh Ramakrishnan, and Rohit Saraf
    In Proceedings of the 21st World Wide Web Conference (WWW), 2012, Lyon, France.
  68. Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces
    Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy
    In Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI), 2012, Toronto, Canada.
  69. What Kinds of Relational Features are Useful for Statistical Learning?
    Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan
    In Proceedings of the 22nd International Conference on Inductive Logic Programming (ILP), 2012, Dubrovnik
  70. Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
    Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan
    In Proceedings of ILP 2012
  71. Using Sequential Unconstrained Minimization Techniques to Simplify SVM Solvers
    Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra
    In Neurocomputing 2012
  72. Discovering Customer Intent in Real-time for Streamlining Service Desk Conversations
    Ullas Nambiar, Tanveer Faruquie, Venkata Subramaniam, Sumit Negi, Ganesh Ramakrishnan
    In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011)
  73. Efficient Rule Ensemble Learning using Hierarchical Kernels
    Pratik Jawanpuria, Saketha Nath and Ganesh Ramakrishnan
    In Proceedings of the 28th International Conference on Machine Learning, 2011
  74. Parameter Screening and Optimisation for ILP using Designed Experiments
    Ashwin Srinivasan, Ganesh Ramakrishnan
    In the Journal of Machine Learning Research 11 (2010) 3481-3516
  75. Web-scale Entity-Relation Search Architecture
    Devshree Sane, Soumen Chakrabarti, Ganesh Ramakrishnan
    Poster at the 20th International World Wide Web Conference, 2011
  76. Enhancing Activity Recognition in Smart Homes Using Feature Induction
    Naveen Nair, Ganesh Ramakrishnan and Shonali Krishnaswamy
    In Proceedings of DaWaK 2011
  77. BET : An Inductive Logic Programming Workbench
    Srihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Chander Iyer, Kiran T V S, Kekin Gada and Ashwin Srinivasan
    In Proceedings of ILP 2010, Florence, Italy
  78. Pruning Search Space for Weighted First Order Horn Clause Satisfiability
    Naveen Nair, Chander Jayaraman, Kiran TVS and Ganesh Ramakrishnan
    ILP 2010, Florence, Italy
  79. An Investigation into Feature Construction to Assist Word Sense Disambiguation
    Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Sachindra Joshi and Maria das Gracas Volpe Nunes
    In Machine Learning 76(1): 109-136 (2009)
  80. 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
  81. 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
  82. 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
  83. Tunable Feature Weights for Flexible Text Retrieval
    Natwar Modani, Ganesh Ramakrishnan and Shantanu Godbole
    SNA-KDD 2009, Paris, France
  84. Parameter Screening and Optimisation for ILP using Designed Experiments
    Ashwin Srinivasan and Ganesh Ramakrishnan
    ILP 2009, Leuven, Belgium
  85. Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
    Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya
    ILP 2009, Leuven, Belgium
  86. Application of Theory of Optimal Search to ILP
    Srihari Kalgi, Chirag Gosar, Ganesh Ramakrishnan and Ashwin Srinivasan
    ILP 2009, Leuven, Belgium
  87. 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
  88. 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.
  89. 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
  90. 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.
  91. 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
  92. 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
  93. 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.
  94. 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.
  95. 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.
  96. Word Sense Disambiguation using Inductive Logic Programming
    Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graç Volpe,
    16th International Conference on Inductive Logic Programming (ILP 2006), Santiago, Spain, August 24-27, 2006.
  97. 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.
  98. 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.
  99. 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.
  100. 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
  101. 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.
  102. 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
  103. 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.
  104. 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
  105. A Gloss Centered Algorithm for Word Sense Disambiguation
    Ganesh Ramakrishnan, B. Prithviraj, Pushpak Bhattacharyya ,
    Proceedings of the ACL SENSEVAL 2004, Barcelona, Spain.
  106. 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.
  107. 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.
  108. 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.
  109. 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
  110. Soft Word Sense Disambiguation
    Ganesh Ramakrishnan, Pritviraj, Deepa, Pushpak Bhattacharyya, Soumen Chakrabarti
    International Conference on Global Wordnet (GWC 04), Brno, Czeck Republic, January, 2004
  111. 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. Extended version published in ISI-NIS Journal, Special Issue on Application of Natural Language to Information systems
  112. 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.
  113. 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. Combinatorial Approaches for Data, Feature and Topic Selection and Summarization
    Rishabh Iyer and Ganesh Ramakrishnan
    Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020
    Link to tutorial site
  2. A Submodular Optimization Framework for Data, Feature and Topic Summarization
    Rishabh Iyer and Ganesh Ramakrishnan
    24th European Conference on Artificial Intelligence, ECAI 2020
    Link to tutorial site
  3. Human Assisted Machine Learning: Consensus, Domain Knowledge and Performance Measures
    Ganesh Ramakrishnan
    3rd Summer School On Machine Learning: Advances In Modern AI, IIIT Hyderabad, July 11, 2018
    Link to Summer School site
  4. Optimal Subset Selection over DAGs with Applications in Machine Learning
    Ganesh Ramakrishnan
    2nd Indian Workshop on Machine Learning, 2016
    Link to workshop
  5. Distant Supervision for Information Extraction: Modeling and Learning Challenges
    Ganesh Ramakrishnan
    Xerox Research Innovation Challenge and Winter School on Machine Learning
    Link to winter school
  6. 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.
  7. 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.