Duration modeling for hindi text-to-speech synthesis system. - Sridhar Krishna Nemala; Partha Pratim Talukdar; Kalika Bali; A. G. Ramakrishnan (INTERSPEECH, 2004)

Automatic Generation of Compound Word Lexicon for Hindi Speech Synthesis. - S. R. Deepa; Kalika Bali; Angarai Ganesan Ramakrishnan; Partha Pratim Talukdar (LREC, 2004)

Tools for the development of a Hindi speech synthesis system. - Kalika Bali; Partha Pratim Talukdar; Sridhar Krishna Nemala; A. G. Ramakrishnan (SSW, 2004)

A Context Pattern Induction Method for Named Entity Extraction. - Partha Pratim Talukdar; Thorsten Brants; Mark Y. Liberman; Fernando C. N. Pereira (CoNLL, 2006)

Automatic Code Assignment to Medical Text. - Koby Crammer; Mark Dredze; Kuzman Ganchev; Partha Pratim Talukdar; Steven Carroll (BioNLP@ACL, 2007)

Frustratingly Hard Domain Adaptation for Dependency Parsing. - Mark Dredze; John Blitzer; Partha Pratim Talukdar; Kuzman Ganchev; João Graça; Fernando C. N. Pereira (EMNLP-CoNLL, 2007)

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 (EMNLP, 2008)

A rate-distortion one-class model and its applications to clustering. - Koby Crammer; Partha Pratim Talukdar; Fernando C. N. Pereira (ICML, 2008)

Regularized Learning with Networks of Features. - Ted Sandler; John Blitzer; Partha Pratim Talukdar; Lyle H. Ungar (NIPS, 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)

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)

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 (CIDR, 2009)

New Regularized Algorithms for Transductive Learning. - Partha Pratim Talukdar; Koby Crammer (ECML/PKDD (2), 2009)

Learning Better Data Representation Using Inference-Driven Metric Learning. - Paramveer S. Dhillon; Partha Pratim Talukdar; Koby Crammer (ACL (2), 2010)

Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition. - Partha Pratim Talukdar; Fernando C. N. Pereira (ACL, 2010)

Automatically incorporating new sources in keyword search-based data integration. - Partha Pratim Talukdar; Zachary G. Ives; Fernando C. N. Pereira (SIGMOD Conference, 2010)

Improving Product Classification Using Images. - Anitha Kannan; Partha Pratim Talukdar; Nikhil Rasiwasia; Qifa Ke (ICDM, 2011)

SCAD: collective discovery of attribute values. - Anton Bakalov; Ariel Fuxman; Partha Pratim Talukdar; Soumen Chakrabarti (WWW, 2011)

Graph-based Semi-Supervised Learning Algorithms for NLP. - Amar Subramanya; Partha Pratim Talukdar (ACL (Tutorial Abstracts), 2012)

Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia. - Partha P. Talukdar; William W. Cohen (BEA@NAACL-HLT, 2012)

Acquiring temporal constraints between relations. - Partha Pratim Talukdar; Derry Wijaya; Tom M. Mitchell (CIKM, 2012)

Metric Learning for Graph-Based Domain Adaptation. - Paramveer S. Dhillon; Partha Pratim Talukdar; Koby Crammer (COLING (Posters), 2012)

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding. - Brian Murphy; Partha Pratim Talukdar; Tom M. Mitchell (COLING, 2012)

Selecting Corpus-Semantic Models for Neurolinguistic Decoding. - Brian Murphy; Partha P. Talukdar; Tom M. Mitchell (*SEM@NAACL-HLT, 2012)

Coupled temporal scoping of relational facts. - Partha Pratim Talukdar; Derry Wijaya; Tom M. Mitchell (WSDM, 2012)

Associating structured records to text documents. - Rakesh Agrawal 001; Ariel Fuxman; Anitha Kannan; John C. Shafer; Partha Pratim Talukdar (WWW (Companion Volume), 2012)

AKBC 2013: third workshop on automated knowledge base construction. - Fabian M. Suchanek; Sebastian Riedel 001; Sameer Singh 001; Partha Pratim Talukdar (CIKM, 2013)

PIDGIN: ontology alignment using web text as interlingua. - Derry Wijaya; Partha Pratim Talukdar; Tom M. Mitchell (CIKM, 2013)

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. - Alona Fyshe; Brian Murphy; Partha Pratim Talukdar; Tom M. Mitchell (CoNLL, 2013)

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. - Matt Gardner 001; Partha Pratim Talukdar; Bryan Kisiel; Tom M. Mitchell (EMNLP, 2013)

CMUML System for KBP 2013 Slot Filling. - Bryan Kisiel; Justin Betteridge; Matt Gardner 001; Jayant Krishnamurthy; Ndapa Nakashole; Mehdi Samadi; Partha Pratim Talukdar; Derry Wijaya; Tom M. Mitchell (TAC, 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)

Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration. - Zhepeng Yan; Nan Zheng; Zachary G. Ives; Partha Pratim Talukdar; Cong Yu 001 (Proc. VLDB Endow., 2013)

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. - Alona Fyshe; Partha Pratim Talukdar; Brian Murphy; Tom M. Mitchell (ACL (1), 2014)

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. - Partha Pratim Talukdar; William W. Cohen (AISTATS, 2014)

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. - Matt Gardner 001; Partha Pratim Talukdar; Jayant Krishnamurthy; Tom M. Mitchell (EMNLP, 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 (KDD, 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 (SDM, 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 (SDM, 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)

Graph-Based Semi-Supervised Learning - Amarnag Subramanya; Partha Pratim Talukdar (Morgan & Claypool Publishers, 2014)

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 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; Kathryn Mazaitis; et al. (AAAI, 2015)

Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. - Matt Gardner 001; Partha P. Talukdar; Tom Michael Mitchell (AAAI Spring Symposia, 2015)

An Entity-centric Approach for Overcoming Knowledge Graph Sparsity. - Manjunath Hegde; Partha P. Talukdar (EMNLP, 2015)

Translation Invariant Word Embeddings. - Kejun Huang; Matt Gardner 001; Evangelos E. Papalexakis; Christos Faloutsos; Nikos D. Sidiropoulos; Tom M. Mitchell; Partha Pratim Talukdar; Xiao Fu 001 (EMNLP, 2015)

Knowledge Base Inference using Bridging Entities. - Bhushan Kotnis; Pradeep Bansal; Partha P. Talukdar (EMNLP, 2015)

AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand. - Mehdi Samadi; Partha Pratim Talukdar; Manuela M. Veloso; Tom M. Mitchell (IJCAI, 2015)

A Compositional and Interpretable Semantic Space. - Alona Fyshe; Leila Wehbe; Partha Pratim Talukdar; Brian Murphy; Tom M. Mitchell (HLT-NAACL, 2015)

Principled Neuro-Functional Connectivity Discovery. - Kejun Huang; Nicholas D. Sidiropoulos; Evangelos E. Papalexakis; Christos Faloutsos; Partha Pratim Talukdar; Tom M. Mitchell (SDM, 2015)

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. - Bhavana Bharat Dalvi; Einat Minkov; Partha Pratim Talukdar; William W. Cohen (WSDM, 2015)

Want Answers? A Reddit Inspired Study on How to Pose Questions. - Danish; Yogesh Dahiya; Partha P. Talukdar (CoRR, 2015)

Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. - Robert S. Pienta; Zhiyuan Lin 001; Minsuk Kahng; Jilles Vreeken; Partha P. Talukdar; James Abello; Ganesh Parameswaran; Duen Horng Chau (CoRR, 2015)

Active learning in keyword search-based data integration. - Zhepeng Yan; Nan Zheng; Zachary G. Ives; Partha Pratim Talukdar; Cong Yu 001 (VLDB J., 2015)

ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. - Mehdi Samadi; Partha Pratim Talukdar; Manuela M. Veloso; Manuel Blum 002 (AAAI, 2016)

Relation Schema Induction using Tensor Factorization with Side Information. - Madhav Nimishakavi; Uday Singh Saini; Partha P. Talukdar (EMNLP, 2016)

Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing. - Prakhar Ojha; Partha P. Talukdar (HCOMP, 2016)

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. - Xiao Fu 001; Kejun Huang; Evangelos E. Papalexakis; Hyun Ah Song; Partha Pratim Talukdar; Nicholas D. Sidiropoulos; Christos Faloutsos; Tom M. Mitchell (ICDM, 2016)

Discovering Response-Eliciting Factors in Social Question Answering : A Reddit Inspired Study. - Danish; Yogesh Dahiya; Partha P. Talukdar (ICWSM, 2016)

Relational Crowdsourcing and its Application in Knowledge Graph Evaluation. - Prakhar Ojha; Partha P. Talukdar (CoRR, 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)

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. - Sharmistha Jat; Siddhesh Khandelwal; Partha P. Talukdar (AKBC@NIPS, 2017)

Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. - Srinivas Ravishankar; Chandrahas Dewangan; Partha P. Talukdar (AKBC@NIPS, 2017)

KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs. - Prakhar Ojha; Partha P. Talukdar (EMNLP, 2017)

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. - Aditya Sharma; Zarana Parekh; Partha P. Talukdar (EMNLP, 2017)

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. - Xiao Fu 001; Kejun Huang; Otilia Stretcu; Hyun Ah Song; Evangelos E. Papalexakis; Partha P. Talukdar; Tom M. Mitchell; Nicholas D. Sidiropoulos; Christos Faloutsos; Barnabás Póczos (SDM, 2017)

FACETS: Adaptive Local Exploration of Large Graphs. - Robert S. Pienta; Minsuk Kahng; Zhiyuan Lin 001; Jilles Vreeken; Partha P. Talukdar; James Abello; Ganesh Parameswaran; Duen Horng Chau (SDM, 2017)

Event Schema Induction using Tensor Factorization with Back-off. - Madhav Nimishakavi; Partha P. Talukdar (CoRR, 2017)

CANDiS: Coupled & Attention-Driven Neural Distant Supervision. - Tushar Nagarajan; Sharmistha Jat; Partha P. Talukdar (CoRR, 2017)

Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. - Srinivas Ravishankar; Chandrahas; Partha Pratim Talukdar (CoRR, 2017)

Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. - Madhav Nimishakavi; Manish Gupta 001; Partha P. Talukdar (ACL (1), 2018)

Towards Understanding the Geometry of Knowledge Graph Embeddings. - Chandrahas; Aditya Sharma; Partha P. Talukdar (ACL (1), 2018)

Dating Documents using Graph Convolution Networks. - Shikhar Vashishth; Shib Sankar Dasgupta; Swayambhu Nath Ray; Partha P. Talukdar (ACL (1), 2018)

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. - Madhav Nimishakavi; Bamdev Mishra; Manish Gupta 001; Partha Pratim Talukdar (CIKM, 2018)

HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. - Shib Sankar Dasgupta; Swayambhu Nath Ray; Partha P. Talukdar (EMNLP, 2018)

AD3: Attentive Deep Document Dater. - Swayambhu Nath Ray; Shib Sankar Dasgupta; Partha P. Talukdar (EMNLP, 2018)

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. - Shikhar Vashishth; Rishabh Joshi; Sai Suman Prayaga; Chiranjib Bhattacharyya; Partha P. Talukdar (EMNLP, 2018)

ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. - Priya Radhakrishnan; Partha P. Talukdar; Vasudeva Varma (NAACL-HLT, 2018)

CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. - Shikhar Vashishth; Prince Jain; Partha P. Talukdar (WWW, 2018)

Never-ending learning. - Tom M. Mitchell; William W. Cohen; Estevam R. Hruschka Jr.; Partha P. Talukdar; Bo Yang 011; Justin Betteridge; Andrew Carlson; Bhavana Dalvi Mishra; Matt Gardner 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; et al. (Commun. ACM, 2018)

Lovasz Convolutional Networks. - Prateek Yadav; Madhav Nimishakavi; Naganand Yadati; Arun Rajkumar; Partha Pratim Talukdar (CoRR, 2018)

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification. - Naganand Yadati; Madhav Nimishakavi; Prateek Yadav; Anand Louis; Partha Pratim Talukdar (CoRR, 2018)

Graph Convolutional Networks based Word Embeddings. - Shikhar Vashishth; Prateek Yadav; Manik Bhandari; Piyush Rai; Chiranjib Bhattacharyya; Partha P. Talukdar (CoRR, 2018)

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction. - Soumya Sanyal 001; Janakiraman Balachandran; Naganand Yadati; Abhishek Kumar; Padmini Rajagopalan; Suchismita Sanyal; Partha P. Talukdar (CoRR, 2018)

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. - Sawan Kumar; Varsha Sreenivasan; Partha P. Talukdar; Franco Pestilli; Devarajan Sridharan (AAAI, 2019)

KVQA: Knowledge-Aware Visual Question Answering. - Sanket Shah; Anand Mishra 001; Naganand Yadati; Partha Pratim Talukdar (AAAI, 2019)

Relating Simple Sentence Representations in Deep Neural Networks and the Brain. - Sharmistha Jat; Hao Tang; Partha P. Talukdar; Tom M. Mitchell (ACL (1), 2019)

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings. - Sawan Kumar; Sharmistha Jat; Karan Saxena; Partha P. Talukdar (ACL (1), 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 (ACL (1), 2019)

Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. - Shikhar Vashishth; Prateek Yadav; Manik Bhandari; Partha P. Talukdar (AISTATS, 2019)

Lovasz Convolutional Networks. - Prateek Yadav; Madhav Nimishakavi; Naganand Yadati; Shikhar Vashishth; Arun Rajkumar; Partha Pratim Talukdar (AISTATS, 2019)

CaRe: Open Knowledge Graph Embeddings. - Swapnil Gupta; Sreyash Kenkre; Partha P. Talukdar (EMNLP/IJCNLP (1), 2019)

Graph-based Deep Learning in Natural Language Processing. - Shikhar Vashishth; Naganand Yadati; Partha P. Talukdar (EMNLP/IJCNLP (2), 2019)

Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. - Ashutosh Kumar; Satwik Bhattamishra; Manik Bhandari; Partha P. Talukdar (NAACL-HLT (1), 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 (NeurIPS, 2019)

Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. - Xiao Fu 001; 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)

P-SIF: Document Embeddings Using Partition Averaging. - Vivek Gupta 001; Ankit Saw; Pegah Nokhiz; Praneeth Netrapalli; Piyush Rai; Partha P. Talukdar (AAAI, 2020)

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. - Ekagra Ranjan; Soumya Sanyal 001; Partha P. Talukdar (AAAI, 2020)

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. - Shikhar Vashishth; Soumya Sanyal 001; Vikram Nitin; Nilesh Agrawal; Partha P. Talukdar (AAAI, 2020)

NILE : Natural Language Inference with Faithful Natural Language Explanations. - Sawan Kumar; Partha P. Talukdar (ACL, 2020)

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings. - Apoorv Saxena; Aditay Tripathi; Partha P. Talukdar (ACL, 2020)

A Re-evaluation of Knowledge Graph Completion Methods. - Zhiqing Sun; Shikhar Vashishth; Soumya Sanyal 001; Partha P. Talukdar; Yiming Yang (ACL, 2020)

NHP: Neural Hypergraph Link Prediction. - Naganand Yadati; Vikram Nitin; Madhav Nimishakavi; Prateek Yadav; Anand Louis; Partha P. Talukdar (CIKM, 2020)

Improving Document Classification with Multi-Sense Embeddings. - Vivek Gupta 001; Ankit Kumar; Pegah Nokhiz; Harshit Gupta; Partha P. Talukdar (ECAI, 2020)

Composition-based Multi-Relational Graph Convolutional Networks. - Shikhar Vashishth; Soumya Sanyal 001; Vikram Nitin; Partha P. Talukdar (ICLR, 2020)

Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings. - Chandrahas; Nilesh Agrawal; Partha P. Talukdar (ICON, 2020)

Inducing Interpretability in Knowledge Graph Embeddings. - Chandrahas; Tathagata Sengupta; Cibi Pragadeesh; Partha P. Talukdar (ICON, 2020)

Syntax-Guided Controlled Generation of Paraphrases. - Ashutosh Kumar; Kabir Ahuja; Raghuram Vadapalli; Partha P. Talukdar (Trans. Assoc. Comput. Linguistics, 2020)

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types. - Chandrahas; Partha P. Talukdar (ACL/IJCNLP (Findings), 2021)

MergeDistill: Merging Language Models using Pre-trained Distillation. - Simran Khanuja; Melvin Johnson; Partha P. Talukdar (ACL/IJCNLP (Findings), 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 (ACL/IJCNLP (1), 2021)

Reordering Examples Helps during Priming-based Few-Shot Learning. - Sawan Kumar; Partha P. Talukdar (ACL/IJCNLP (Findings), 2021)

Question Answering Over Temporal Knowledge Graphs. - Apoorv Saxena; Soumen Chakrabarti; Partha P. Talukdar (ACL/IJCNLP (1), 2021)

Multilingual Fact Linking. - Keshav Kolluru; Martin Rezk; Pat Verga; William W. Cohen; Partha P. Talukdar (AKBC, 2021)

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. - Naganand Yadati; Tingran Gao; Shahab Asoodeh; Partha P. Talukdar; Anand Louis (PAKDD (1), 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; et al. (CoRR, 2021)

MergeDistill: Merging Pre-trained Language Models using Distillation. - Simran Khanuja; Melvin Johnson; Partha P. Talukdar (CoRR, 2021)

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. - Vaidehi Patil; Partha P. Talukdar; Sunita Sarawagi (ACL (1), 2022)

Re-contextualizing Fairness in NLP: The Case of India. - Shaily Bhatt; Sunipa Dev; Partha P. Talukdar; Shachi Dave; Vinodkumar Prabhakaran (AACL/IJCNLP (1), 2022)

Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages. - Simran Khanuja; Sebastian Ruder; Partha P. Talukdar (CoRR, 2022)

Parameter-Efficient Finetuning for Robust Continual Multilingual Learning. - Kartikeya Badola; Shachi Dave; Partha P. Talukdar (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)

Cultural Re-contextualization of Fairness Research in Language Technologies in India. - Shaily Bhatt; Sunipa Dev; Partha P. Talukdar; Shachi Dave; Vinodkumar Prabhakaran (CoRR, 2022)

GPU-accelerated connectome discovery at scale. - Varsha Sreenivasan; Sawan Kumar; Franco Pestilli; Partha P. Talukdar; Devarajan Sridharan (Nat. Comput. Sci., 2022)

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 (EACL, 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 (LoG, 2023)