Partha P. Talukdar

According to our database, Partha P. Talukdar authored at least 125 papers between 2004 and 2023.

Collaborative distances:

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

2023

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers.

Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 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

2022

GPU-accelerated connectome discovery at scale.

Varsha Sreenivasan, Sawan Kumar, Franco Pestilli, Partha P. Talukdar, Devarajan Sridharan

Nat. Comput. Sci., 2022

Cultural Re-contextualization of Fairness Research in Language Technologies in India.

Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran

CoRR, 2022

Bootstrapping Multilingual Semantic Parsers using Large Language Models.

Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar

CoRR, 2022

Parameter-Efficient Finetuning for Robust Continual Multilingual Learning.

Kartikeya Badola, Shachi Dave, Partha P. Talukdar

CoRR, 2022

Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages.

Simran Khanuja, Sebastian Ruder, Partha P. Talukdar

CoRR, 2022

Re-contextualizing Fairness in NLP: The Case of India.

Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages.

Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi

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

2021

MergeDistill: Merging Pre-trained Language Models using Distillation.

Simran Khanuja, Melvin Johnson, Partha P. Talukdar

CoRR, 2021

MuRIL: Multilingual Representations for Indian Languages.

Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, Shruti Gupta, Subhash Chandra Bose Gali, Vish Subramanian, Partha P. Talukdar

CoRR, 2021

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs.

Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Multilingual Fact Linking.

Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar

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

Reordering Examples Helps during Priming-based Few-Shot Learning.

Sawan Kumar, Partha P. Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study.

Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi

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

MergeDistill: Merging Language Models using Pre-trained Distillation.

Simran Khanuja, Melvin Johnson, Partha P. Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types.

Chandrahas, Partha P. Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Syntax-Guided Controlled Generation of Paraphrases.

Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar

Trans. Assoc. Comput. Linguistics, 2020

Inducing Interpretability in Knowledge Graph Embeddings.

Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha P. Talukdar

Proceedings of the 17th International Conference on Natural Language Processing, 2020

Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings.

Chandrahas, Nilesh Agrawal, Partha P. Talukdar

Proceedings of the 17th International Conference on Natural Language Processing, 2020

Composition-based Multi-Relational Graph Convolutional Networks.

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Document Classification with Multi-Sense Embeddings.

Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

NHP: Neural Hypergraph Link Prediction.

Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Re-evaluation of Knowledge Graph Completion Methods.

Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang

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

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings.

Apoorv Saxena, Aditay Tripathi, Partha P. Talukdar

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

NILE : Natural Language Inference with Faithful Natural Language Explanations.

Sawan Kumar, Partha P. Talukdar

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

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations.

Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

P-SIF: Document Embeddings Using Partition Averaging.

Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.

Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell

IEEE Trans. Knowl. Data Eng., 2019

HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs.

Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha P. Talukdar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation.

Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Graph-based Deep Learning in Natural Language Processing.

Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CaRe: Open Knowledge Graph Embeddings.

Swapnil Gupta, Sreyash Kenkre, Partha P. Talukdar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Lovasz Convolutional Networks.

Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Confidence-based Graph Convolutional Networks for Semi-Supervised Learning.

Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks.

Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar

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

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings.

Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha P. Talukdar

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

Relating Simple Sentence Representations in Deep Neural Networks and the Brain.

Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell

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

KVQA: Knowledge-Aware Visual Question Answering.

Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar

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

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs.

Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli, Devarajan Sridharan

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

2018

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction.

Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar

CoRR, 2018

Graph Convolutional Networks based Word Embeddings.

Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar

CoRR, 2018

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification.

Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha Pratim Talukdar

CoRR, 2018

Lovasz Convolutional Networks.

Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar

CoRR, 2018

Never-ending learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Commun. ACM, 2018

CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information.

Shikhar Vashishth, Prince Jain, Partha P. Talukdar

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

ELDEN: Improved Entity Linking Using Densified Knowledge Graphs.

Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.

Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

AD3: Attentive Deep Document Dater.

Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding.

Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information.

Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Dating Documents using Graph Convolution Networks.

Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar

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

Towards Understanding the Geometry of Knowledge Graph Embeddings.

Chandrahas, Aditya Sharma, Partha P. Talukdar

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

Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation.

Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar

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

2017

Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs.

Srinivas Ravishankar, Chandrahas, Partha Pratim Talukdar

CoRR, 2017

CANDiS: Coupled & Attention-Driven Neural Distant Supervision.

Tushar Nagarajan, Sharmistha Jat, Partha P. Talukdar

CoRR, 2017

Event Schema Induction using Tensor Factorization with Back-off.

Madhav Nimishakavi, Partha P. Talukdar

CoRR, 2017

FACETS: Adaptive Local Exploration of Large Graphs.

Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.

Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods.

Aditya Sharma, Zarana Parekh, Partha P. Talukdar

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs.

Prakhar Ojha, Partha P. Talukdar

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs.

Srinivas Ravishankar, Chandrahas Dewangan, Partha P. Talukdar

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention.

Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.

Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy

Stat. Anal. Data Min., 2016

Relational Crowdsourcing and its Application in Knowledge Graph Evaluation.

Prakhar Ojha, Partha P. Talukdar

CoRR, 2016

Discovering Response-Eliciting Factors in Social Question Answering : A Reddit Inspired Study.

Danish, Yogesh Dahiya, Partha P. Talukdar

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.

Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing.

Prakhar Ojha, Partha P. Talukdar

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Relation Schema Induction using Tensor Factorization with Side Information.

Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources.

Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Active learning in keyword search-based data integration.

Zhepeng Yan, Nan Zheng, Zachary G. Ives, Partha Pratim Talukdar, Cong Yu

VLDB J., 2015

Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs.

Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau

CoRR, 2015

Want Answers? A Reddit Inspired Study on How to Pose Questions.

Danish, Yogesh Dahiya, Partha P. Talukdar

CoRR, 2015

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints.

Bhavana Bharat Dalvi, Einat Minkov, Partha Pratim Talukdar, William W. Cohen

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Principled Neuro-Functional Connectivity Discovery.

Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Compositional and Interpretable Semantic Space.

Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell

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

AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.

Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Knowledge Base Inference using Bridging Entities.

Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Translation Invariant Word Embeddings.

Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Entity-centric Approach for Overcoming Knowledge Graph Sparsity.

Manjunath Hegde, Partha P. Talukdar

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text.

Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell

Proceedings of the 2015 AAAI Spring Symposia, 2015

Never-Ending Learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Graph-Based Semi-Supervised Learning

Amarnag Subramanya, Partha Pratim Talukdar

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01571-7, 2014

Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments.

Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos

Big Data, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.

Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.

Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.

Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos

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

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases.

Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell

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

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch.

Partha Pratim Talukdar, William W. Cohen

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning.

Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration.

Zhepeng Yan, Nan Zheng, Zachary G. Ives, Partha Pratim Talukdar, Cong Yu

Proc. VLDB Endow., 2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization

Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy

CoRR, 2013

CMUML System for KBP 2013 Slot Filling.

Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell

Proceedings of the Sixth Text Analysis Conference, 2013

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues.

Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell

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

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition.

Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

PIDGIN: ontology alignment using web text as interlingua.

Derry Wijaya, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

AKBC 2013: third workshop on automated knowledge base construction.

Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Associating structured records to text documents.

Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar

Proceedings of the 21st World Wide Web Conference, 2012

Coupled temporal scoping of relational facts.

Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Selecting Corpus-Semantic Models for Neurolinguistic Decoding.

Brian Murphy, Partha P. Talukdar, Tom M. Mitchell

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding.

Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell

Proceedings of the COLING 2012, 2012

Metric Learning for Graph-Based Domain Adaptation.

Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer

Proceedings of the COLING 2012, 2012

Acquiring temporal constraints between relations.

Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia.

Partha P. Talukdar, William W. Cohen

Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

Graph-based Semi-Supervised Learning Algorithms for NLP.

Amar Subramanya, Partha Pratim Talukdar

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012

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

Improving Product Classification Using Images.

Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Automatically incorporating new sources in keyword search-based data integration.

Partha Pratim Talukdar, Zachary G. Ives, Fernando C. N. Pereira

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition.

Partha Pratim Talukdar, Fernando C. N. Pereira

Proceedings of the ACL 2010, 2010

Learning Better Data Representation Using Inference-Driven Metric Learning.

Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer

Proceedings of the ACL 2010, 2010

2009

New Regularized Algorithms for Transductive Learning.

Partha Pratim Talukdar, Koby Crammer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Interactive Data Integration through Smart Copy & Paste.

Zachary G. Ives, Craig A. Knoblock, Steven Minton, Marie Jacob, Partha Pratim Talukdar, Rattapoom Tuchinda, José Luis Ambite, Maria Muslea, Cenk Gazen

Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009

2008

The ORCHESTRA Collaborative Data Sharing System.

Zachary G. Ives, Todd J. Green, Grigoris Karvounarakis, Nicholas E. Taylor, Val Tannen, Partha Pratim Talukdar, Marie Jacob, Fernando C. N. Pereira

SIGMOD Rec., 2008

Learning to create data-integrating queries.

Partha Pratim Talukdar, Marie Jacob, Muhammad Salman Mehmood, Koby Crammer, Zachary G. Ives, Fernando C. N. Pereira, Sudipto Guha

Proc. VLDB Endow., 2008

Regularized Learning with Networks of Features.

Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A rate-distortion one-class model and its applications to clustering.

Koby Crammer, Partha Pratim Talukdar, Fernando C. N. Pereira

Proceedings of the Machine Learning, 2008

Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks.

Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat, Fernando C. N. Pereira

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Frustratingly Hard Domain Adaptation for Dependency Parsing.

Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando C. N. Pereira

Proceedings of the EMNLP-CoNLL 2007, 2007

Automatic Code Assignment to Medical Text.

Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll

Proceedings of the Biological, translational, and clinical language processing, 2007

2006

A Context Pattern Induction Method for Named Entity Extraction.

Partha Pratim Talukdar, Thorsten Brants, Mark Y. Liberman, Fernando C. N. Pereira

Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2004

Tools for the development of a Hindi speech synthesis system.

Kalika Bali, Partha Pratim Talukdar, Sridhar Krishna Nemala, A. G. Ramakrishnan

Proceedings of the Fifth ISCA ITRW on Speech Synthesis, 2004

Automatic Generation of Compound Word Lexicon for Hindi Speech Synthesis.

S. R. Deepa, Kalika Bali, Angarai Ganesan Ramakrishnan, Partha Pratim Talukdar

Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Duration modeling for hindi text-to-speech synthesis system.

Sridhar Krishna Nemala, Partha Pratim Talukdar, Kalika Bali, A. G. Ramakrishnan

Proceedings of the 8th International Conference on Spoken Language Processing, 2004