Soumen Chakrabarti

According to our database, Soumen Chakrabarti authored at least 172 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs.

Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

CoRR, 2024

Graph Regularized Encoder Training for Extreme Classification.

Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jain jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma

CoRR, 2024

How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning.

Subhabrata Dutta, Joykirat Singh, Soumen Chakrabarti, Tanmoy Chakraborty

CoRR, 2024

Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning.

Subhabrata Dutta, Ishan Pandey, Joykirat Singh, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals.

Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty

IEEE Trans. Knowl. Data Eng., June, 2023

Transfer Learning for Low-Resource Multilingual Relation Classification.

Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023

CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation.

Harshvardhan Srivastava, Kanav Pruthi, Soumen Chakrabarti, Mausam

CoRR, 2023

Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search.

Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL.

Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning.

Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs.

Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks.

Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

mOKB6: A Multilingual Open Knowledge Base Completion Benchmark.

Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering.

Vishwajeet Kumar, Yash Gupta, Saneem A. Chemmengath, Jaydeep Sen, Soumen Chakrabarti, Samarth Bharadwaj, Feifei Pan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers.

Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Semi-supervised Stance Detection of Tweets Via Distant Network Supervision.

Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering.

Soumen Chakrabarti

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks.

Indradyumna Roy, Soumen Chakrabarti, Abir De

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection.

Abir De, Soumen Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry.

Yannis Katsis, Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Mustafa Canim, Michael R. Glass, Alfio Gliozzo, Feifei Pan, Jaydeep Sen, Karthik Sankaranarayanan, Soumen Chakrabarti

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis.

Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti

Proceedings of the International Conference on Machine Learning, 2022

Joint Completion and Alignment of Multilingual Knowledge Graphs.

Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, Mausam

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction.

Keshav Kolluru, Muqeeth Mohammed, Shubham Mittal, Soumen Chakrabarti, Mausam

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Interpretable Neural Subgraph Matching for Graph Retrieval.

Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-Instance Training for Question Answering Across Table and Linked Text.

Vishwajeet Kumar, Saneem A. Chemmengath, Yash Gupta, Jaydeep Sen, Samarth Bharadwaj, Soumen Chakrabarti

CoRR, 2021

Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment.

Harkanwar Singh, Prachi Jain, Mausam, Soumen Chakrabarti

CoRR, 2021

Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering.

Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations.

Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems.

Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Topic Transferable Table Question Answering.

Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, Karthik Sankaranarayanan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Joint Autoregressive and Graph Models for Software and Developer Social Networks.

Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

Proceedings of the Advances in Information Retrieval, 2021

A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification.

Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy.

Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment.

Harkanwar Singh, Soumen Chakrabarti, Prachi Jain, Sharod Roy Choudhury, Mausam

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Question Answering Over Temporal Knowledge Graphs.

Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Adversarial Permutation Guided Node Representations for Link Prediction.

Indradyumna Roy, Abir De, Soumen Chakrabarti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Differentially Private Link Prediction with Protected Connections.

Abir De, Soumen Chakrabarti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On Computing Entity Relatedness in Wikipedia, with Applications.

Marco Ponza, Paolo Ferragina, Soumen Chakrabarti

Knowl. Based Syst., 2020

Analysis of reference and citation copying in evolving bibliographic networks.

Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

J. Informetrics, 2020

Knowledge Base Completion: Baseline strikes back (Again).

Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti

CoRR, 2020

Interpretable Complex Question Answering.

Soumen Chakrabarti

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Neural Matching Models for Graph Retrieval.

Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction.

Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

NLP Service APIs and Models for Efficient Registration of New Clients.

Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction.

Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols.

Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Kauwa-Kaate Fake News Detection System: Demo.

Abhishek Bagade, Ashwini Pale, Shreyans Sheth, Megha Agarwal, Soumen Chakrabarti, Kameswari Chebrolu, S. Sudarshan

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

IMoJIE: Iterative Memory-Based Joint Open Information Extraction.

Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics.

Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti

ACM Trans. Web, 2019

Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs.

Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan, Soumen Chakrabarti

Trans. Assoc. Comput. Linguistics, 2019

Neural architecture for question answering using a knowledge graph and web corpus.

Uma Sawant, Saurabh Garg, Soumen Chakrabarti, Ganesh Ramakrishnan

Inf. Retr. J., 2019

Scene Graph based Image Retrieval - A case study on the CLEVR Dataset.

Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra

CoRR, 2019

Privacy Preserving Link Prediction with Latent Geometric Network Models.

Abir De, Soumen Chakrabarti

CoRR, 2019

Multi-task Learning for Target-Dependent Sentiment Classification.

Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

A Deep Generative Model for Code Switched Text.

Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Program Induction for KBQA Without Gold Programs or Query Annotations.

Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Automated Early Leaderboard Generation from Comparative Tables.

Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

Proceedings of the Advances in Information Retrieval, 2019

Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text.

Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings.

Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

GIRNet: Interleaved Multi-Task Recurrent State Sequence Models.

Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Focused Web Crawling.

Soumen Chakrabarti

Proceedings of the Encyclopedia of Database Systems, Second Edition, 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.

Uma Sawant, Soumen Chakrabarti, Ganesh Ramakrishnan

SIGWEB Newsl., 2018

Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables.

Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

CoRR, 2018

New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations.

Sandeep Subramanian, Soumen Chakrabarti

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between.

Soumen Chakrabarti

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference.

Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generalizing Across Domains via Cross-Gradient Training.

Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi

Proceedings of the 6th International Conference on Learning Representations, 2018

Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision.

Prachi Jain, Pankaj Kumar, Mausam, Soumen Chakrabarti

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Task-Specific Representation Learning for Web-Scale Entity Disambiguation.

Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

More Accurate Entity Ranking Using Knowledge Graph and Web Corpus.

Uma Sawant, Soumen Chakrabarti, Ganesh Ramakrishnan

CoRR, 2017

Joint Matrix-Tensor Factorization for Knowledge Base Inference.

Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti

CoRR, 2017

Relay-Linking Models for Prominence and Obsolescence in Evolving Networks.

Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading.

Sachin Kumar, Soumen Chakrabarti, Shourya Roy

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Two-Stage Framework for Computing Entity Relatedness in Wikipedia.

Marco Ponza, Paolo Ferragina, Soumen Chakrabarti

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Discriminative Link Prediction using Local, Community, and Global Signals.

Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti

IEEE Trans. Knowl. Data Eng., 2016

Collective Entity Resolution with Multi-Focal Attention.

Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Sic Transit Gloria Manuscriptum: Two Views of the Aggregate Fate of Ancient Papers.

Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

CoRR, 2015

2014

Open-domain quantity queries on web tables: annotation, response, and consensus models.

Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries.

Mandar Joshi, Uma Sawant, Soumen Chakrabarti

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning a Linear Influence Model from Transient Opinion Dynamics.

Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Data-based research at IIT Bombay.

Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan

SIGMOD Rec., 2013

Features and Aggregators for Web-scale Entity Search

Uma Sawant, Soumen Chakrabarti

CoRR, 2013

Learning joint query interpretation and response ranking.

Uma Sawant, Soumen Chakrabarti

Proceedings of the 22nd International World Wide Web Conference, 2013

Discriminative Link Prediction Using Local Links, Node Features and Community Structure.

Abir De, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Web-scale entity annotation using MapReduce.

Shashank Gupta, Varun Chandramouli, Soumen Chakrabarti

Proceedings of the 20th Annual International Conference on High Performance Computing, 2013

Joint Bootstrapping of Corpus Annotations and Entity Types.

Hrushikesh Mohapatra, Siddhanth Jain, Soumen Chakrabarti

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Compressed data structures for annotated web search.

Soumen Chakrabarti, Sasidhar Kasturi, Bharath Balakrishnan, Ganesh Ramakrishnan, Rohit Saraf

Proceedings of the 21st World Wide Web Conference 2012, 2012

2011

Index design and query processing for graph conductance search.

Soumen Chakrabarti, Amit Pathak, Manish Gupta

VLDB J., 2011

Web-scale entity-relation search architecture.

Soumen Chakrabarti, Devshree Sane, Ganesh Ramakrishnan

Proceedings of the 20th International Conference on World Wide Web, 2011

SCAD: collective discovery of attribute values.

Anton Bakalov, Ariel Fuxman, Partha Pratim Talukdar, Soumen Chakrabarti

Proceedings of the 20th International Conference on World Wide Web, 2011

Social media: source of information or bunch of noise.

Amr El Abaddi, Lars Backstrom, Soumen Chakrabarti, Alejandro Jaimes, Jure Leskovec, Andrew Tomkins

Proceedings of the 20th International Conference on World Wide Web, 2011

Diversity in ranking via resistive graph centers.

Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Annotating and Searching Web Tables Using Entities, Types and Relationships.

Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti

Proc. VLDB Endow., 2010

Enhancing Search with Structure.

Soumen Chakrabarti, Sunita Sarawagi, S. Sudarshan

IEEE Data Eng. Bull., 2010

Making Web-scale Entity-Relationship Search a Reality.

Soumen Chakrabarti

Proceedings of the 16th International Conference on Management of Data, 2010

2009

Focused Web Crawling.

Soumen Chakrabarti

Proceedings of the Encyclopedia of Database Systems, 2009

Learning to rank for quantity consensus queries.

Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramakrishnan

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.

Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Conditional Models for Non-smooth Ranking Loss Functions.

Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti

Proceedings of the ICDM 2009, 2009

2008

New closed-form bounds on the partition function.

Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri

Mach. Learn., 2008

Fast algorithms for topk personalized pagerank queries.

Manish S. Gupta, Amit Pathak, Soumen Chakrabarti

Proceedings of the 17th International Conference on World Wide Web, 2008

Structured learning for non-smooth ranking losses.

Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiru Bhattacharyya

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Index Design for Dynamic Personalized PageRank.

Amit Pathak, Soumen Chakrabarti, Manish S. Gupta

Proceedings of the 24th International Conference on Data Engineering, 2008

Data Mining - Know It All.

Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten

Morgan Kaufmann, ISBN: 978-0-12-374629-0, 2008

2007

The Influence of Search Engines on Preferential Attachment.

Alan M. Frieze, Juan Vera, Soumen Chakrabarti

Internet Math., 2007

Learning to Rank in Vector Spaces and Social Networks.

Soumen Chakrabarti

Internet Math., 2007

Dynamic personalized pagerank in entity-relation graphs.

Soumen Chakrabarti

Proceedings of the 16th International Conference on World Wide Web, 2007

Learning random walks to rank nodes in graphs.

Alekh Agarwal, Soumen Chakrabarti

Proceedings of the Machine Learning, 2007

2006

Optimizing scoring functions and indexes for proximity search in type-annotated corpora.

Soumen Chakrabarti, Kriti Puniyani, Sujatha Das

Proceedings of the 15th international conference on World Wide Web, 2006

Learning Parameters in Entity Relationship Graphs from Ranking Preferences.

Soumen Chakrabarti, Alekh Agarwal

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Learning to rank networked entities.

Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy.

Arpit Mathur, Soumen Chakrabarti

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Exploiting the dynamic networking effects of the web.

Ramesh Sarukkai, Soumen Chakrabarti, Gary William Flake, Narayanan Shivakumar, Asim M. Ansari

Proceedings of the 14th international conference on World Wide Web, 2005

Shuffling a Stacked Deck: The Case for Partially Randomized Ranking of Search Engine Results.

Sandeep Pandey, Sourashis Roy, Christopher Olston, Junghoo Cho, Soumen Chakrabarti

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Bidirectional Expansion For Keyword Search on Graph Databases.

Varun Kacholia, Shashank Pandit, Soumen Chakrabarti, S. Sudarshan, Rushi Desai, Hrishikesh Karambelkar

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

SPIN: searching personal information networks.

Soumen Chakrabarti, Jeetendra Mirchandani, Arnab Nandi

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Enhanced Answer Type Inference from Questions using Sequential Models.

Vijay Krishnan, Sujatha Das, Soumen Chakrabarti

Proceedings of the HLT/EMNLP 2005, 2005

2004

Guest Editors' Introduction: Special Section on Mining and Searching the Web.

Bing Liu, Soumen Chakrabarti

IEEE Trans. Knowl. Data Eng., 2004

Is question answering an acquired skill?

Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Paranjpe, Pushpak Bhattacharyya

Proceedings of the 13th international conference on World Wide Web, 2004

Web-CAM: Monitoring the dynamic Web to respond to Continual Queries.

Shaveen Garg, Krithi Ramamritham, Soumen Chakrabarti

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels.

Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Document Classification Through Interactive Supervision of Document and Term Labels.

Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Breaking Through the Syntax Barrier: Searching with Entities and Relations.

Soumen Chakrabarti

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Discovering Links Between Lexical and Surface Features in Questions and Answers.

Soumen Chakrabarti

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2004

2003

Fast and accurate text classification via multiple linear discriminant projections pp.

Soumen Chakrabarti, Shourya Roy, Mahesh V. Soundalgekar

VLDB J., 2003

Monitoring the dynamic web to respond to continuous queries.

Sandeep Pandey, Krithi Ramamritham, Soumen Chakrabarti

Proceedings of the Twelfth International World Wide Web Conference, 2003

Cross-training: learning probabilistic mappings between topics.

Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

User Interaction in the BANKS System.

B. Aditya, Soumen Chakrabarti, Rushi Desai, Arvind Hulgeri, Hrishikesh Karambelkar, Rupesh Nasre, Parag, S. Sudarshan

Proceedings of the 19th International Conference on Data Engineering, 2003

Mining the web - discovering knowledge from hypertext data.

Soumen Chakrabarti

Morgan Kaufmann, ISBN: 978-1-55860-754-5, 2003

2002

Analyzing Fine-grained Hypertext Features for Enhanced Crawling and Topic Distillation.

Soumen Chakrabarti, Ravindra Jaju

IEEE Data Eng. Bull., 2002

Accelerated focused crawling through online relevance feedback.

Soumen Chakrabarti, Kunal Punera, Mallela Subramanyam

Proceedings of the Eleventh International World Wide Web Conference, 2002

The structure of broad topics on the web.

Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock

Proceedings of the Eleventh International World Wide Web Conference, 2002

Fast and Accurate Text Classification via Multiple Linear Discriminant Projections.

Soumen Chakrabarti, Shourya Roy, Mahesh V. Soundalgekar

Proceedings of 28th International Conference on Very Large Data Bases, 2002

Searching and Mining Fine-Grained Semi-Structured Data.

Soumen Chakrabarti

Proceedings of 28th International Conference on Very Large Data Bases, 2002

BANKS: Browsing and Keyword Searching in Relational Databases.

B. Aditya, Gaurav Bhalotia, Soumen Chakrabarti, Arvind Hulgeri, Charuta Nakhe, Parag, S. Sudarshan

Proceedings of 28th International Conference on Very Large Data Bases, 2002

Scaling multi-class support vector machines using inter-class confusion.

Shantanu Godbole, Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Keyword Searching and Browsing in Databases using BANKS.

Gaurav Bhalotia, Arvind Hulgeri, Charuta Nakhe, Soumen Chakrabarti, S. Sudarshan

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

2001

Keeyword Search in Databases.

Arvind Hulgeri, Gaurav Bhalotia, Charuta Nakhe, Soumen Chakrabarti, S. Sudarshan

IEEE Data Eng. Bull., 2001

Integrating the document object model with hyperlinks for enhanced topic distillation and information extraction.

Soumen Chakrabarti

Proceedings of the Tenth International World Wide Web Conference, 2001

Enhanced Topic Distillation Using Text, Markup Tags, and Hyperlinks.

Soumen Chakrabarti, Mukul Joshi, Vivek Tawde

Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Hubs and Authorities: Spreading Out and Zooming In.

Soumen Chakrabarti

Proceedings of the First International Workshop on Web Dynamics, 2001

2000

Data mining for hypertext: A tutorial survey.

Soumen Chakrabarti

SIGKDD Explor., 2000

Using Memex to archive and mine community Web browsing experience.

Soumen Chakrabarti, Sandeep Srivastava, Mallela Subramanyam, Mitul Tiwari

Comput. Networks, 2000

Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails.

Soumen Chakrabarti, Sandeep Srivastava, Mallela Subramanyam, Mitul Tiwari

Proceedings of the VLDB 2000, 2000

Hypertext data mining (tutorial AM-1).

Soumen Chakrabarti

Proceedings of the Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999

Recent results in automatic Web resource discovery.

Soumen Chakrabarti

ACM Comput. Surv., 1999

Mining the Web's Link Structure.

Soumen Chakrabarti, Byron Dom, Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins, David Gibson, Jon M. Kleinberg

Computer, 1999

Surfing the Web Backwards.

Soumen Chakrabarti, David Gibson, Kevin S. McCurley

Comput. Networks, 1999

Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery.

Soumen Chakrabarti, Martin van den Berg, Byron Dom

Comput. Networks, 1999

Topic Distillation and Spectral Filtering.

Soumen Chakrabarti, Byron Dom, David Gibson, Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins

Artif. Intell. Rev., 1999

Distributed Hypertext Resource Discovery Through Examples.

Soumen Chakrabarti, Martin van den Berg, Byron Dom

Proceedings of the VLDB'99, 1999

Hypertext Databases and Data Mining.

Soumen Chakrabarti

Proceedings of the SIGMOD 1999, 1999

1998

Scalable Feature Selection, Classification and Signature Generation for Organizing Large Text Databases into Hierarchical Topic Taxonomies.

Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan

VLDB J., 1998

Parallel randomized load balancing.

Micah Adler, Soumen Chakrabarti, Michael Mitzenmacher, Lars Eilstrup Rasmussen

Random Struct. Algorithms, 1998

Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text.

Soumen Chakrabarti, Byron Dom, Prabhakar Raghavan, Sridhar Rajagopalan, David Gibson, Jon M. Kleinberg

Comput. Networks, 1998

Mining Surprising Patterns Using Temporal Description Length.

Soumen Chakrabarti, Sunita Sarawagi, Byron Dom

Proceedings of the VLDB'98, 1998

Flow and Stretch Metrics for Scheduling Continuous Job Streams.

Michael A. Bender, Soumen Chakrabarti, S. Muthukrishnan

Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 1998

Enhanced Hypertext Categorization Using Hyperlinks.

Soumen Chakrabarti, Byron Dom, Piotr Indyk

Proceedings of the SIGMOD 1998, 1998

1997

Models and Scheduling Algorithms for Mixed Data and Task Parallel Programs.

Soumen Chakrabarti, James Demmel, Katherine A. Yelick

J. Parallel Distributed Comput., 1997

Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases.

Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan

Proceedings of the VLDB'97, 1997

1996

Random Allocation of Jobs with Weights and Precedence.

Soumen Chakrabarti

Theor. Comput. Sci., 1996

Resource Scheduling for Parallel Database and Scientific Applications.

Soumen Chakrabarti, S. Muthukrishnan

Proceedings of the 8th Annual ACM Symposium on Parallel Algorithms and Architectures, 1996

Global Communication Analysis and Optimization.

Soumen Chakrabarti, Manish Gupta, Jong-Deok Choi

Proceedings of the ACM SIGPLAN'96 Conference on Programming Language Design and Implementation (PLDI), 1996

Improved Scheduling Algorithms for Minsum Criteria.

Soumen Chakrabarti, Cynthia A. Phillips, Andreas S. Schulz, David B. Shmoys, Clifford Stein, Joel Wein

Proceedings of the Automata, Languages and Programming, 23rd International Colloquium, 1996

1995

Parallel randomized load balancing (Preliminary Version).

Micah Adler, Soumen Chakrabarti, Michael Mitzenmacher, Lars Eilstrup Rasmussen

Proceedings of the Twenty-Seventh Annual ACM Symposium on Theory of Computing, 1995

Modeling the Benefits of Mixed Data and Task Parallelism.

Soumen Chakrabarti, James Demmel, Katherine A. Yelick

Proceedings of the 7th Annual ACM Symposium on Parallel Algorithms and Architectures, 1995

Portable Parallel Irregular Applications.

Katherine A. Yelick, Chih-Po Wen, Soumen Chakrabarti, Etienne Deprit, Jeff A. Jones, Arvind Krishnamurthy

Proceedings of the Parallel Symbolic Languages and Systems, 1995

Runtime Support for Portable Distributed Data Structures.

Chih-Po Wen, Soumen Chakrabarti, Etienne Deprit, Arvind Krishnamurthy, Katherine A. Yelick

Proceedings of the Languages, 1995

1994

Distributed Data Structures and Algorithms for Gröbner Basis Computation.

Soumen Chakrabarti, Katherine A. Yelick

LISP Symb. Comput., 1994

Adaptive Control for Packet Video.

Soumen Chakrabarti, Randolph Y. Wang

Proceedings of the International Conference on Multimedia Computing and Systems, 1994

1993

On the Correctness of a Distributed Memory Gröbner basis Algorithm.

Soumen Chakrabarti, Katherine A. Yelick

Proceedings of the Rewriting Techniques and Applications, 5th International Conference, 1993

Implementing an Irregular Application on a Distributed Memory Multiprocessor.

Soumen Chakrabarti, Katherine A. Yelick

Proceedings of the Fourth ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming (PPOPP), 1993