Partha P. Talukdar

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 85

Top Topics

Graph Embedding

Question Answering

Indian Languages

Top Venues

Publications

Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. EACL (2023)
Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. LoG (2023)
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. CoRR (2022)
Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. CoRR (2022)
Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. ACL (1) (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) (2022)
Kartikeya Badola, Shachi Dave, Partha P. Talukdar
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning. CoRR (2022)
Simran Khanuja, Sebastian Ruder, Partha P. Talukdar
Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages. CoRR (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Re-contextualizing Fairness in NLP: The Case of India. CoRR (2022)
Varsha Sreenivasan, Sawan Kumar, Franco Pestilli, Partha P. Talukdar, Devarajan Sridharan
GPU-accelerated connectome discovery at scale. Nat. Comput. Sci. 2 (5) (2022)
Simran Khanuja, Melvin Johnson, Partha P. Talukdar
MergeDistill: Merging Language Models using Pre-trained Distillation. ACL/IJCNLP (Findings) (2021)
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
MuRIL: Multilingual Representations for Indian Languages. CoRR (2021)
Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar
Question Answering Over Temporal Knowledge Graphs. CoRR (2021)
Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar
Question Answering Over Temporal Knowledge Graphs. ACL/IJCNLP (1) (2021)
Sawan Kumar, Partha P. Talukdar
Reordering Examples Helps during Priming-based Few-Shot Learning. CoRR (2021)
Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar
Multilingual Fact Linking. AKBC (2021)
Sawan Kumar, Partha P. Talukdar
Reordering Examples Helps during Priming-based Few-Shot Learning. ACL/IJCNLP (Findings) (2021)
Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) (2021)
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. ACL/IJCNLP (1) (2021)
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. CoRR (2021)
Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar
Multilingual Fact Linking. CoRR (2021)
Chandrahas, Partha P. Talukdar
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types. ACL/IJCNLP (Findings) (2021)
Simran Khanuja, Melvin Johnson, Partha P. Talukdar
MergeDistill: Merging Pre-trained Language Models using Distillation. CoRR (2021)
Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar
Graph-based Deep Learning in Natural Language Processing. COMAD/CODS (2020)
Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar
Syntax-guided Controlled Generation of Paraphrases. CoRR (2020)
Sawan Kumar, Partha P. Talukdar
NILE : Natural Language Inference with Faithful Natural Language Explanations. CoRR (2020)
Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
A Re-evaluation of Knowledge Graph Completion Methods. ACL (2020)
Sawan Kumar, Partha P. Talukdar
NILE : Natural Language Inference with Faithful Natural Language Explanations. ACL (2020)
Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. AAAI (2020)
Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar
Syntax-Guided Controlled Generation of Paraphrases. Trans. Assoc. Comput. Linguistics 8 (2020)
Chandrahas, Nilesh Agrawal, Partha P. Talukdar
Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings. ICON (2020)
Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha P. Talukdar
Inducing Interpretability in Knowledge Graph Embeddings. ICON (2020)
Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar
NHP: Neural Hypergraph Link Prediction. CIKM (2020)
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar
P-SIF: Document Embeddings Using Partition Averaging. AAAI (2020)
Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar
Improving Document Classification with Multi-Sense Embeddings. ECAI (2020)
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
Composition-based Multi-Relational Graph Convolutional Networks. ICLR (2020)
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. AAAI (2020)
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar
P-SIF: Document Embeddings Using Partition Averaging. CoRR (2020)
Apoorv Saxena, Aditay Tripathi, Partha P. Talukdar
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings. ACL (2020)
Shikhar Vashishth, Prince Jain, Partha P. Talukdar
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. CoRR (2019)
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
Composition-based Multi-Relational Graph Convolutional Networks. CoRR (2019)
Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) (2019)
Swapnil Gupta, Sreyash Kenkre, Partha P. Talukdar
CaRe: Open Knowledge Graph Embeddings. EMNLP/IJCNLP (1) (2019)
Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. NAACL-HLT (1) (2019)
Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar
AD3: Attentive Deep Document Dater. CoRR (2019)
Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha P. Talukdar
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings. ACL (1) (2019)
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. ACL (1) (2019)
Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom Michael Mitchell
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. CoRR (2019)
Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar
Improving Document Classification with Multi-Sense Embeddings. CoRR (2019)
Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar
Graph-based Deep Learning in Natural Language Processing. EMNLP/IJCNLP (2) (2019)
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. AISTATS (2019)
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. CoRR (2019)
Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
A Re-evaluation of Knowledge Graph Completion Methods. CoRR (2019)
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. CoRR (2019)
Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha P. Talukdar
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. NeurIPS (2019)
Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli, Devarajan Sridharan
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. AAAI (2019)
Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar
Dating Documents using Graph Convolution Networks. CoRR (2019)
Chandrahas, Aditya Sharma, Partha P. Talukdar
Towards Understanding the Geometry of Knowledge Graph Embeddings. ACL (1) (2018)
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
Never-ending learning. Commun. ACM 61 (5) (2018)
Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar
AD3: Attentive Deep Document Dater. EMNLP (2018)
Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. CoRR (2018)
Shikhar Vashishth, Prince Jain, Partha P. Talukdar
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. WWW (2018)
Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar
Dating Documents using Graph Convolution Networks. ACL (1) (2018)
Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. NAACL-HLT (2018)
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
Graph Convolutional Networks based Word Embeddings. CoRR (2018)
Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. ACL (1) (2018)
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR (2018)
Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction. CoRR (2018)
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP (2018)
Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. EMNLP (2018)
Robert Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
FACETS: Adaptive Local Exploration of Large Graphs. SDM (2017)
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
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM (2017)
Aditya Sharma, Zarana Parekh, Partha P. Talukdar
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. EMNLP (2017)
Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. AKBC@NIPS (2017)
Tushar Nagarajan, Sharmistha Jat, Partha P. Talukdar
CANDiS: Coupled & Attention-Driven Neural Distant Supervision. CoRR (2017)
Madhav Nimishakavi, Partha P. Talukdar
Event Schema Induction using Tensor Factorization with Back-off. CoRR (2017)
Srinivas Ravishankar, Chandrahas Dewangan, Partha P. Talukdar
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. AKBC@NIPS (2017)
Prakhar Ojha, Partha P. Talukdar
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs. EMNLP (2017)
Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar
Relation Schema Induction using Tensor Factorization with Side Information. CoRR (2016)
Danish, Yogesh Dahiya, Partha P. Talukdar
Discovering Response-Eliciting Factors in Social Question Answering : A Reddit Inspired Study. ICWSM (2016)
Prakhar Ojha, Partha P. Talukdar
Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing. HCOMP (2016)
Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar
Relation Schema Induction using Tensor Factorization with Side Information. EMNLP (2016)
Prakhar Ojha, Partha P. Talukdar
Relational Crowdsourcing and its Application in Knowledge Graph Evaluation. CoRR (2016)
Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposia (2015)
Robert Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. CoRR (2015)
Danish, Yogesh Dahiya, Partha P. Talukdar
Want Answers? A Reddit Inspired Study on How to Pose Questions. CoRR (2015)
Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar
Knowledge Base Inference using Bridging Entities. EMNLP (2015)
Manjunath Hegde, Partha P. Talukdar
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity. EMNLP (2015)
Partha P. Talukdar, William W. Cohen
Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia. BEA@NAACL-HLT (2012)
Brian Murphy, Partha P. Talukdar, Tom M. Mitchell
Selecting Corpus-Semantic Models for Neurolinguistic Decoding. *SEM@NAACL-HLT (2012)