Ganesh Ramakrishnan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
130
Venues
35
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ACL11 papers
- A*EMNLP11 papers
- AWACV10 papers
- BILP10 papers
- AICDAR9 papers
- A*AAAI9 papers
- ACIKM7 papers
- AEACL5 papers
- BIJCNLP5 papers
- ANAACL5 papers
- A*ICML5 papers
- AInterspeech5 papers
- NationalCOMAD4 papers
- A*SIGIR4 papers
- A*WWW3 papers
- ASIGCSE2 papers
- BCOLING2 papers
- A*IJCAI2 papers
- AMICCAI2 papers
- BPAKDD2 papers
- BLREC2 papers
- A*ICDE2 papers
- A*ICLR1 paper
- BEDM1 paper
- BICMI1 paper
- BIJCNN1 paper
- A*ECCV1 paper
- NationalCOMSNETS1 paper
- BCoNLL1 paper
- CIDEAS1 paper
- BICTAI1 paper
- BDaWaK1 paper
- A*KDD1 paper
- A*ICDM1 paper
- CNLDB1 paper
Papers
130 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights. | Maharaj Brahma, N. J. Karthika, Rajat Verma, Nagasai Saketh Naidu, Rohit Saluja, Maunendra Sankar Desarkar, Ganesh Ramakrishnan |
| 2026 | ACL | Rolling Out Data Quality Overnight, without losing the plot: A Multi-Agent System for Speech Data Quality Management. | Rishabh Kumar, Abhinav Painuli, Chriss Philip Saji, Devesh Soni, Amrith Krishna, Ganesh Ramakrishnan |
| 2026 | EACL | Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs. | Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh A. P., Pawan Goyal |
| 2026 | EACL | Post-ASR Correction in Hindi: Comparing Language Models and Large Language Models in Low-Resource Scenarios. | Rishabh Kumar, Amrith Krishna, Ganesh Ramakrishnan, Preethi Jyothi |
| 2026 | ICDAR | EMBLEM: Enhancing Multi-script Table Detection through Masking. | Dhruv Kudale, Udhay Brahmi, Ganesh Ramakrishnan |
| 2026 | WACV | Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts. | Madhav Gupta, Vishak Prasad, Ganesh Ramakrishnan |
| 2026 | WACV | Tables Decoded: DELTA for Structure, TarQA for Understanding. | Jahanvi Rajput, Dhruv Kudale, Saikiran Kasturi, Utkarsh Verma, Ganesh Ramakrishnan |
| 2025 | ACL | LexGen: Domain-aware Multilingual Lexicon Generation. | Ayush Maheshwari, Atul Kumar Singh, N. J. Karthika, Krishnakant Bhatt, Preethi Jyothi, Ganesh Ramakrishnan |
| 2025 | IJCNLP | Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts. | Raavi Gupta, Pranav Hari Panicker, Sumit Bhatia, Ganesh Ramakrishnan |
| 2025 | NAACL | GuideQ: Framework for Guided Questioning for progressive informational collection and classification. | Priya Mishra, Suraj Racha, Kaustubh Ponkshe, Adit Akarsh, Ganesh Ramakrishnan |
| 2025 | NAACL | ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. | Yaswanth M, Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan |
| 2025 | NAACL | INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. | Abhishek Kumar Singh, Vishwajeet Kumar, Rudra Murthy, Jaydeep Sen, Ashish R. Mittal, Ganesh Ramakrishnan |
| 2025 | SIGCSE | TA Buddy: AI-Assisted Grading Tool for Introductory Programming Assignments. | Goda Nagakalyani, Saurav Chaudhary, Varsha Apte, Ganesh Ramakrishnan |
| 2025 | SIGCSE | Design and Evaluation of an AI-Assisted Grading Tool for Introductory Programming Assignments: An Experience Report. | Goda Nagakalyani, Saurav Chaudhary, Varsha Apte, Ganesh Ramakrishnan, Srikanth Tamilselvam |
| 2024 | ACL | SMART: Submodular Data Mixture Strategy for Instruction Tuning. | H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan |
| 2024 | CIKM | M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging. | Anurag Shandilya, Kalash Shah, Bhavik Kanekar, Akshat Gautam, Pavni Tandon, Ganesh Ramakrishnan, Kshitij S. Jadhav |
| 2024 | COLING | Samayik: A Benchmark and Dataset for English-Sanskrit Translation. | Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, Anil Kumar Gourishetty, Jitin Singla |
| 2024 | EACL | FAIR: Filtering of Automatically Induced Rules. | Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan |
| 2024 | EMNLP | Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models. | Rishabh Kumar, Sabyasachi Ghosh, Ganesh Ramakrishnan |
| 2024 | EMNLP | DictDis: Dictionary Constrained Disambiguation for Improved NMT. | Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan |
| 2024 | EMNLP | Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. | Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi |
| 2024 | ICDAR | SPRINT: Script-agnostic Structure Recognition in Tables. | Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan |
| 2024 | ICLR | Bayesian Coreset Optimization for Personalized Federated Learning. | Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan |
| 2024 | WACV | Textron: Weakly Supervised Multilingual Text Detection through Data Programming. | Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan |
| 2024 | WACV | Gradient Coreset for Federated Learning. | Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan |
| 2024 | WACV | Using Early Readouts to Mediate Featural Bias in Distillation. | Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy |
| 2023 | AAAI | Adaptive Mixing of Auxiliary Losses in Supervised Learning. | Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan |
| 2023 | ACL | DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. | Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi |
| 2023 | CIKM | Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. | Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav |
| 2023 | COMAD | UDAAN - Machine Learning based Post-Editing tool for Document Translation. | Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan |
| 2023 | EDM | Data Efficient Machine Learning for Educational Content Creation. | Ganesh Ramakrishnan, Ayush Maheshwari |
| 2023 | EMNLP | INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. | H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy |
| 2023 | ICDAR | TACTFUL: A Framework for Targeted Active Learning for Document Analysis. | Venkatapathy Subramanian, Sagar Poudel, Parag Chaudhuri, Ganesh Ramakrishnan |
| 2023 | ICML | Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. | Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De |
| 2023 | IJCAI | Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. | Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh |
| 2023 | WACV | Skew-Robust Human-Object Interactions in Videos. | Apoorva Agarwal, Rishabh Dabral, Arjun Jain, Ganesh Ramakrishnan |
| 2022 | AAAI | PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. | Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer |
| 2022 | ACL | Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. | Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa |
| 2022 | COLING | WARM: A Weakly (+Semi) Supervised Math Word Problem Solver. | Oishik Chatterjee, Isha Pandey, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan |
| 2022 | EMNLP | SPEAR : Semi-supervised Data Programming in Python. | Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2022 | EMNLP | A Benchmark and Dataset for Post-OCR text correction in Sanskrit. | Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan |
| 2022 | EMNLP | Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. | Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan |
| 2022 | Interspeech | VAgyojaka: An Annotating and Post-Editing Tool for Automatic Speech Recognition. | Rishabh Kumar, Devaraja Adiga, Mayank Kothyari, Jatin Dalal, Ganesh Ramakrishnan, Preethi Jyothi |
| 2022 | Interspeech | Linguistically Informed Post-processing for ASR Error correction in Sanskrit. | Rishabh Kumar, Devaraja Adiga, Rishav Ranjan, Amrith Krishna, Ganesh Ramakrishnan, Pawan Goyal, Preethi Jyothi |
| 2022 | MICCAI | CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. | Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2022 | MICCAI | DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. | Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | AAAI | GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. | KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | ACL | Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. | Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal |
| 2021 | ACL | Semi-Supervised Data Programming with Subset Selection. | Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | ACL | Rule Augmented Unsupervised Constituency Parsing. | Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | EACL | Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. | Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagarlapudi |
| 2021 | EACL | Meta-Learning for Effective Multi-task and Multilingual Modelling. | Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi |
| 2021 | ICDAR | CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognition. | Shivam Sood, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri |
| 2021 | ICMI | Cross Lingual Video and Text Retrieval: A New Benchmark Dataset and Algorithm. | Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan |
| 2021 | ICML | GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. | KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer |
| 2021 | ICML | Training Data Subset Selection for Regression with Controlled Generalization Error. | Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De |
| 2021 | IJCNN | Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. | Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya |
| 2021 | Interspeech | Cross-Modal Learning for Audio-Visual Video Parsing. | Jatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan |
| 2021 | SIGIR | Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. | Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti |
| 2021 | WACV | Exploration of Spatial and Temporal Modeling Alternatives for HOI. | Rishabh Dabral, Srijon Sarkar, Sai Praneeth Reddy, Ganesh Ramakrishnan |
| 2020 | AAAI | Robust Data Programming with Precision-guided Labeling Functions. | Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2020 | ECCV | Watch Hours in Minutes: Summarizing Videos with User Intent. | Saiteja Nalla, Mohit Agrawal, Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2020 | IJCNLP | Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation. | Vishwajeet Kumar, Manish Joshi, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2020 | Interspeech | Caption Alignment for Low Resource Audio-Visual Data. | Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Jayaprakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari, Pankaj Singh |
| 2019 | ACL | Cross-Lingual Training for Automatic Question Generation. | Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi |
| 2019 | COMAD | Anomaly Detection in Surveillance Videos. | Sukalyan Bhakat, Ganesh Ramakrishnan |
| 2019 | COMSNETS | Representation Learning on Graphs by Integrating Content and Structure Information. | Ayush Maheshwari, Ayush Goyal, Amit Kumar, Manjesh Kumar Hanawal, Ganesh Ramakrishnan |
| 2019 | CoNLL | Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. | Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2019 | EMNLP | ParaQG: A System for Generating Questions and Answers from Paragraphs. | Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2019 | ICDAR | OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs. | Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark J. Carman |
| 2019 | ICDAR | Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. | Rohit Saluja, Mayur Punjabi, Mark J. Carman, Ganesh Ramakrishnan, Parag Chaudhuri |
| 2019 | ICDAR | StreetOCRCorrect: An Interactive Framework for OCR Corrections in Chaotic Indian Street Videos. | Pankaj Singh, Bhavya Patwa, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri |
| 2019 | WACV | Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. | Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan |
| 2019 | WACV | Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. | Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan |
| 2019 | WACV | A Framework Towards Domain Specific Video Summarization. | Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan |
| 2018 | AAAI | An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. | Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan |
| 2018 | AAAI | Synthesis of Programs from Multimodal Datasets. | Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal |
| 2018 | Interspeech | Time Aggregation Operators for Multi-label Audio Event Detection. | Pankaj Joshi, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi |
| 2018 | NAACL | Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. | Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath |
| 2018 | PAKDD | Automating Reading Comprehension by Generating Question and Answer Pairs. | Vishwajeet Kumar, Kireeti Boorla, Yogesh Kumar Meena, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2017 | AAAI | Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. | Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain |
| 2017 | ICDAR | Error Detection and Corrections in Indic OCR Using LSTMs. | Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan, Mark James Carman |
| 2017 | ICDAR | A Framework for Document Specific Error Detection and Corrections in Indic OCR. | Rohit Saluja, Devaraj Adiga, Ganesh Ramakrishnan, Parag Chaudhuri, Mark James Carman |
| 2016 | AAAI | Numerical Relation Extraction with Minimal Supervision. | Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2016 | CIKM | Beyond Clustering: Sub-DAG Discovery for Categorising Documents. | Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan |
| 2016 | CIKM | A Framework for Task-specific Short Document Expansion. | Ramakrishna B. Bairi, Raghavendra Udupa, Ganesh Ramakrishnan |
| 2016 | IJCAI | Interactive Martingale Boosting. | Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan |
| 2016 | PAKDD | Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets. | Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan |
| 2015 | ACL | Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. | Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes |
| 2015 | NAACL | Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. | Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan |
| 2014 | EMNLP | Noisy Or-based model for Relation Extraction using Distant Supervision. | Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan |
| 2014 | IDEAS | Personalized classifiers: evolving a classifier from a large reference knowledge graph. | Ramakrishna B. Bairi, Ganesh Ramakrishnan, Vikas Sindhwani |
| 2014 | LREC | Efficient Reuse of Structured and Unstructured Resources for Ontology Population. | Chetana Gavankar, Ashish Kulkarni, Ganesh Ramakrishnan |
| 2014 | SIGIR | Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. | Ramakrishna Bairi, Ganesh Ramakrishnan |
| 2014 | SIGIR | System for collective entity disambiguation. | Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan |
| 2013 | COMAD | Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction. | Amrita Saha, Naveen Nair, Ganesh Ramakrishnan |
| 2013 | IJCNLP | Learning to Generate Diversified Query Interpretations using Biconvex Optimization. | Ramakrishna Bairi, Ambha A, Ganesh Ramakrishnan |
| 2013 | IJCNLP | Structure Cognizant Pseudo Relevance Feedback. | Arjun Atreya V, Yogesh Kakde, Pushpak Bhattacharyya, Ganesh Ramakrishnan |
| 2013 | ILP | Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces. | Ajay Nagesh, Naveen Nair, Ganesh Ramakrishnan |
| 2013 | ICTAI | Semi-automatic Dictionary Curation for Domain-Specific Ontologies. | Ashish Kulkarni, Chetana Gavankar, Ganesh Ramakrishnan, Sriram Raghavan |
| 2012 | AAAI | Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces. | Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy |
| 2012 | EMNLP | Towards Efficient Named-Entity Rule Induction for Customizability. | Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar, Pushpak Bhattacharyya |
| 2012 | ILP | Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. | Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan |
| 2012 | ILP | What Kinds of Relational Features Are Useful for Statistical Learning? | Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan |
| 2012 | WWW | Compressed data structures for annotated web search. | Soumen Chakrabarti, Sasidhar Kasturi, Bharath Balakrishnan, Ganesh Ramakrishnan, Rohit Saraf |
| 2011 | CIKM | Discovering customer intent in real-time for streamlining service desk conversations. | Ullas Nambiar, Tanveer A. Faruquie, L. Venkata Subramaniam, Sumit Negi, Ganesh Ramakrishnan |
| 2011 | DaWaK | Enhancing Activity Recognition in Smart Homes Using Feature Induction. | Naveen Nair, Ganesh Ramakrishnan, Shonali Krishnaswamy |
| 2011 | ICML | Efficient Rule Ensemble Learning using Hierarchical Kernels. | Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan |
| 2011 | WWW | Web-scale entity-relation search architecture. | Soumen Chakrabarti, Devshree Sane, Ganesh Ramakrishnan |
| 2010 | ILP | BET : An Inductive Logic Programming Workbench. | Srihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Kekin Gada, Chander Iyer, T. V. S. Kiran, Ashwin Srinivasan |
| 2010 | ILP | Pruning Search Space for Weighted First Order Horn Clause Satisfiability. | Naveen Nair, Anandraj Govindan, Chander Jayaraman, T. V. S. Kiran, Ganesh Ramakrishnan |
| 2009 | ILP | Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages. | Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya |
| 2009 | ILP | Parameter Screening and Optimisation for ILP Using Designed Experiments. | Ashwin Srinivasan, Ganesh Ramakrishnan |
| 2009 | KDD | Collective annotation of Wikipedia entities in web text. | Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti |
| 2009 | SIGIR | Learning to rank for quantity consensus queries. | Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramakrishnan |
| 2008 | CIKM | Identification of class specific discourse patterns. | Anup Chalamalla, Sumit Negi, L. Venkata Subramaniam, Ganesh Ramakrishnan |
| 2008 | ICDE | RAD: A Scalable Framework for Annotator Development. | Sanjeet Khaitan, Ganesh Ramakrishnan, Sachindra Joshi, Anup Chalamalla |
| 2008 | IJCNLP | Learning Decision Lists with Known Rules for Text Mining. | Venkatesan Chakravarthy, Sachindra Joshi, Ganesh Ramakrishnan, Shantanu Godbole, Sreeram Balakrishnan |
| 2008 | ILP | Feature Construction Using Theory-Guided Sampling and Randomised Search. | Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan |
| 2007 | ILP | Using ILP to Construct Features for Information Extraction from Semi-structured Text. | Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan |
| 2006 | EMNLP | Entity Annotation based on Inverse Index Operations. | Ganesh Ramakrishnan, Sreeram Balakrishnan, Sachindra Joshi |
| 2006 | ICDE | Automatic Sales Lead Generation from Web Data. | Ganesh Ramakrishnan, Sachindra Joshi, Sumit Negi, Raghu Krishnapuram, Sreeram Balakrishnan |
| 2006 | ILP | Word Sense Disambiguation Using Inductive Logic Programming. | Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graas Volpe Nunes |
| 2005 | CIKM | A structure-sensitive framework for text categorization. | Ganesh Ramakrishnan, Deepa Paranjpe, Byron Dom |
| 2005 | COMAD | VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction. | Delip Rao, Sachindra Joshi, Sreeram Balakrishnan, Ganesh Ramakrishnan |
| 2005 | ICDM | Text Classification with Evolving Label-Sets. | Shantanu Godbole, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2005 | ICML | A model for handling approximate, noisy or incomplete labeling in text classification. | Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, Pushpak Bhattacharyya |
| 2004 | LREC | Generic Text Summarization Using WordNet. | Kedar Bellare, Anish Das Sarma, Atish Das Sarma, Navneet Loiwal, Vaibhav Mehta, Ganesh Ramakrishnan, Pushpak Bhattacharyya |
| 2004 | WWW | Is question answering an acquired skill? | Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Paranjpe, Pushpak Bhattacharyya |
| 2003 | NLDB | Text Representation with WordNet Synsets using Soft Sense Disambiguation. | Ganesh Ramakrishnan, Pushpak Bhattacharyya |