Ganesh Ramakrishnan

Orcid: 0000-0003-4533-2490

Affiliations:
  • Indian Institute of Technology, Bombay, India


According to our database1, Ganesh Ramakrishnan authored at least 193 papers between 1994 and 2024.

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Bibliography

2024
Why Gradient Subspace? Identifying and Mitigating LoRA's Bottlenecks in Federated Fine-Tuning of Large Language Models.
CoRR, 2024

INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages.
CoRR, 2024

CharSS: Character-Level Transformer Model for Sanskrit Word Segmentation.
CoRR, 2024

A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs.
CoRR, 2024

LexGen: Domain-aware Multilingual Lexicon Generation.
CoRR, 2024

Using Early Readouts to Mediate Featural Bias in Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Gradient Coreset for Federated Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Textron: Weakly Supervised Multilingual Text Detection through Data Programming.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Bayesian Coreset Optimization for Personalized Federated Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SPRINT: Script-agnostic Structure Recognition in Tables.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DictDis: Dictionary Constrained Disambiguation for Improved NMT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FAIR: Filtering of Automatically Induced Rules.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Samayik: A Benchmark and Dataset for English-Sanskrit Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SMART: Submodular Data Mixture Strategy for Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation.
CoRR, 2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models.
CoRR, 2023

Skew-Robust Human-Object Interactions in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Eigen: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images.
Proceedings of the Machine Learning for Health, 2023

Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models.
Proceedings of the International Conference on Machine Learning, 2023

TACTFUL: A Framework for Targeted Active Learning for Document Analysis.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Data Efficient Machine Learning for Educational Content Creation.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

UDAAN - Machine Learning based Post-Editing tool for Document Translation.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adaptive Mixing of Auxiliary Losses in Supervised Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Speeding up NAS with Adaptive Subset Selection.
CoRR, 2022

DICTDIS: Dictionary Constrained Disambiguation for Improved NMT.
CoRR, 2022

AutoML for Climate Change: A Call to Action.
CoRR, 2022

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification.
CoRR, 2022

Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches.
CoRR, 2022

Investigating Modality Bias in Audio Visual Video Parsing.
CoRR, 2022

BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets.
CoRR, 2022

UDAAN - Machine Learning based Post-Editing tool for Document Translation.
CoRR, 2022

Submodlib: A Submodular Optimization Library.
CoRR, 2022

ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing.
CoRR, 2022

Error Correction in ASR using Sequence-to-Sequence Models.
CoRR, 2022

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Algorithm identification in programming assignments.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Linguistically Informed Post-processing for ASR Error correction in Sanskrit.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

VAgyojaka: An Annotating and Post-Editing Tool for Automatic Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Benchmark and Dataset for Post-OCR text correction in Sanskrit.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SPEAR : Semi-supervised Data Programming in Python.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

WARM: A Weakly (+Semi) Supervised Math Word Problem Solver.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Personalizing ASR with limited data using targeted subset selection.
CoRR, 2021

Effective Evaluation of Deep Active Learning on Image Classification Tasks.
CoRR, 2021

Submodular Mutual Information for Targeted Data Subset Selection.
CoRR, 2021

A Weakly Supervised Model for Solving Math word Problems.
CoRR, 2021

Cross-Modal learning for Audio-Visual Video Parsing.
CoRR, 2021

Rudder: A Cross Lingual Video and Text Retrieval Dataset.
CoRR, 2021

PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization.
CoRR, 2021

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning.
CoRR, 2021

How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization.
CoRR, 2021

Exploration of Spatial and Temporal Modeling Alternatives for HOI.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cross-Modal Learning for Audio-Visual Video Parsing.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Unsupervised Learning of Explainable Parse Trees for Improved Generalisation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Training Data Subset Selection for Regression with Controlled Generalization Error.
Proceedings of the 38th International Conference on Machine Learning, 2021

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Cross Lingual Video and Text Retrieval: A New Benchmark Dataset and Algorithm.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognition.
Proceedings of the Document Analysis and Recognition, 2021

Meta-Learning for Effective Multi-task and Multilingual Modelling.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Rule Augmented Unsupervised Constituency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Semi-Supervised Data Programming with Subset Selection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures.
CoRR, 2020

Data Programming using Semi-Supervision and Subset Selection.
CoRR, 2020

LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework.
Proceedings of the AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, 2020

Caption Alignment for Low Resource Audio-Visual Data.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Watch Hours in Minutes: Summarizing Videos with User Intent.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Robust Data Programming with Precision-guided Labeling Functions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Neural architecture for question answering using a knowledge graph and web corpus.
Inf. Retr. J., 2019

Data Programming using Continuous and Quality-Guided Labeling Functions.
CoRR, 2019

Question Generation from Paragraphs: A Tale of Two Hierarchical Models.
CoRR, 2019

Tale of tails using rule augmented sequence labeling for event extraction.
CoRR, 2019

A Framework Towards Domain Specific Video Summarization.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2019, 2019

StreetOCRCorrect: An Interactive Framework for OCR Corrections in Chaotic Indian Street Videos.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

A Tale of Two Modalities for Video Captioning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

ParaQG: A System for Generating Questions and Answers from Paragraphs.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Representation Learning on Graphs by Integrating Content and Structure Information.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

Anomaly Detection in Surveillance Videos.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Cross-Lingual Training for Automatic Question Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-Person 3D Human Pose Estimation from Monocular Images.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
"Open-domain question answering using a knowledge graph and web corpus" by Uma Sawant, Soumen Chakrabarti and Ganesh Ramakrishnan with Martin Vesely as coordinator.
SIGWEB Newsl., 2018

A framework for automatic question generation from text using deep reinforcement learning.
CoRR, 2018

Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks.
CoRR, 2018

Automating Reading Comprehension by Generating Question and Answer Pairs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Time Aggregation Operators for Multi-label Audio Event Detection.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Synthesis of Programs from Multimodal Datasets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
More Accurate Entity Ranking Using Knowledge Graph and Web Corpus.
CoRR, 2017

A Unified Multi-Faceted Video Summarization System.
CoRR, 2017

Learning Discriminative Relational Features for Sequence Labeling.
CoRR, 2017

A Framework for Document Specific Error Detection and Corrections in Indic OCR.
Proceedings of the 1st International Workshop on Open Services and Tools for Document Analysis, 2017

Error Detection and Corrections in Indic OCR Using LSTMs.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Query Expansion in Resource-Scarce Languages: A Multilingual Framework Utilizing Document Structure.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016

Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies.
Proceedings of the Semantic Web - ISWC 2016, 2016

Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Interactive Martingale Boosting.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Collectively Link Entities.
Proceedings of the 3rd IKDD Conference on Data Science, 2016

A Framework for Task-specific Short Document Expansion.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Beyond Clustering: Sub-DAG Discovery for Categorising Documents.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Numerical Relation Extraction with Minimal Supervision.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Generalized hierarchical kernel learning.
J. Mach. Learn. Res., 2015

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Thinking, Pairing, and Sharing to Improve Learning and Engagement in a Data Structures and Algorithms (DSA) Class.
Proceedings of the 2015 International Conference on Learning and Teaching in Computing and Engineering, 2015

A Machine Assisted Human Translation System for Technical Documents.
Proceedings of the 8th International Conference on Knowledge Capture, 2015

Context-driven Concept Search across Web Ontologies using Keyword Queries.
Proceedings of the 8th International Conference on Knowledge Capture, 2015

An Approach to Collective Entity Linking.
Proceedings of the 12th International Conference on Natural Language Processing, 2015

Categorising videos using a personalised category catalogue.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
System for collective entity disambiguation.
Proceedings of the ERD'14, 2014

Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space.
Proceedings of Workshop on Semantic Matching in Information Retrieval co-located with the 37th international ACM SIGIR conference on research and development in information retrieval, 2014

Efficient Reuse of Structured and Unstructured Resources for Ontology Population.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Personalized classifiers: evolving a classifier from a large reference knowledge graph.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Noisy Or-based model for Relation Extraction using Distant Supervision.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Data-based research at IIT Bombay.
SIGMOD Rec., 2013

Approximate Controllability of Fractional Integrodifferential Evolution Equations.
J. Appl. Math., 2013

Approximate controllability of nonlinear fractional dynamical systems.
Commun. Nonlinear Sci. Numer. Simul., 2013

Approximate controllability of fractional nonlinear differential inclusions.
Appl. Math. Comput., 2013

Enriching Concept Search across Semantic Web Ontologies.
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

SATTY : Word Sense Induction Application in Web Search Clustering.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Rel-Div: Generating Diversified Query Interpretations from Semantic Relations.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces.
Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

Structure Cognizant Pseudo Relevance Feedback.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Learning to Generate Diversified Query Interpretations using Biconvex Optimization.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Semi-automatic Dictionary Curation for Domain-Specific Ontologies.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction.
Proceedings of the 19th International Conference on Management of Data, 2013

2012
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers.
Neurocomputing, 2012

Compressed data structures for annotated web search.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Building Multilingual Search Index using open source framework.
Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing, 2012

Error tracking in search engine development.
Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing, 2012

What Kinds of Relational Features Are Useful for Statistical Learning?
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Probing the Space of Optimal Markov Logic Networks for Sequence Labeling.
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Towards Efficient Named-Entity Rule Induction for Customizability.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Parameter Screening and Optimisation for ILP using Designed Experiments.
J. Mach. Learn. Res., 2011

Web-scale entity-relation search architecture.
Proceedings of the 20th International Conference on World Wide Web, 2011

Efficient Rule Ensemble Learning using Hierarchical Kernels.
Proceedings of the 28th International Conference on Machine Learning, 2011

Enhancing Activity Recognition in Smart Homes Using Feature Induction.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

Discovering customer intent in real-time for streamlining service desk conversations.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Pruning Search Space for Weighted First Order Horn Clause Satisfiability.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

BET : An Inductive Logic Programming Workbench.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

2009
An investigation into feature construction to assist word sense disambiguation.
Mach. Learn., 2009

Learning to rank for quantity consensus queries.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Collective annotation of Wikipedia entities in web text.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

2008
Optimization issues in inverted index-based entity annotation.
Proceedings of the 3rd International ICST Conference on Scalable Information Systems, 2008

Feature Construction Using Theory-Guided Sampling and Randomised Search.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

Learning Decision Lists with Known Rules for Text Mining.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

RAD: A Scalable Framework for Annotator Development.
Proceedings of the 24th International Conference on Data Engineering, 2008

Identification of class specific discourse patterns.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007.
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

Using ILP to Construct Features for Information Extraction from Semi-structured Text.
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Toward interactive learning by concept ordering.
Proceedings of the HYPERTEXT 2007, 2007

2006
Word Sense Disambiguation Using Inductive Logic Programming.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Automatic Sales Lead Generation from Web Data.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Entity Annotation based on Inverse Index Operations.
Proceedings of the EMNLP 2006, 2006

2005
A model for handling approximate, noisy or incomplete labeling in text classification.
Proceedings of the Machine Learning, 2005

Text Classification with Evolving Label-Sets.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction.
Proceedings of the Advances in Data Management 2005, 2005

A structure-sensitive framework for text categorization.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Is question answering an acquired skill?
Proceedings of the 13th international conference on World Wide Web, 2004

A gloss-centered algorithm for disambiguation.
Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, 2004

Generic Text Summarization Using WordNet.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

2003
Text Representation with WordNet Synsets Using Soft Sense Disambiguation.
Ingénierie des Systèmes d Inf., 2003

Generic Text Summarization Using Wordnet for Novelty and Hard.
Proceedings of The Twelfth Text REtrieval Conference, 2003

Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations.
Proceedings of The Twelfth Text REtrieval Conference, 2003

1994
Distributed Computing, Automatic Design, and Error Recovery in the ULYSSES II Framework.
Proceedings of the EDAC - The European Conference on Design Automation, ETC - European Test Conference, EUROASIC - The European Event in ASIC Design, Proceedings, February 28, 1994


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