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ORCIDPartha P. Talukdar
Partha Pratim Talukdar
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- affiliation: Indian Institute of Science, Bangalore
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2020 – today
- 2023
[c97]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: 2041-2052- [c96]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: 34 - [e3]Mingyu Feng, Tanja Käser, Partha P. Talukdar, Rakesh Agrawal, Y. Narahari, Mykola Pechenizkiy:
Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023. International Educational Data Mining Society 2023 [contents] - 2022
- [j10]Varsha Sreenivasan
, Sawan Kumar, Franco Pestilli, Partha P. Talukdar, Devarajan Sridharan:
GPU-accelerated connectome discovery at scale. Nat. Comput. Sci. 2(5): 298-306 (2022) - [c95]Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi:
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. ACL (1) 2022: 219-233 - [c94]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) 2022: 727-740 - [i46]Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi:
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. CoRR abs/2203.01976 (2022) - [i45]Simran Khanuja, Sebastian Ruder, Partha P. Talukdar:
Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages. CoRR abs/2205.12676 (2022) - [i44]Kartikeya Badola, Shachi Dave, Partha P. Talukdar:
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning. CoRR abs/2209.06767 (2022) - [i43]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Re-contextualizing Fairness in NLP: The Case of India. CoRR abs/2209.12226 (2022) - [i42]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 abs/2210.06281 (2022) - [i41]Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar:
Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR abs/2210.07313 (2022) - [i40]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR abs/2211.11206 (2022) - 2021
- [c93]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: 1312-1323 - [c92]Chandrahas, Partha P. Talukdar:
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types. ACL/IJCNLP (Findings) 2021: 2546-2559 - [c91]Simran Khanuja, Melvin Johnson, Partha P. Talukdar:
MergeDistill: Merging Language Models using Pre-trained Distillation. ACL/IJCNLP (Findings) 2021: 2874-2887 - [c90]Sawan Kumar, Partha P. Talukdar:
Reordering Examples Helps during Priming-based Few-Shot Learning. ACL/IJCNLP (Findings) 2021: 4507-4518 - [c89]Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar:
Question Answering Over Temporal Knowledge Graphs. ACL/IJCNLP (1) 2021: 6663-6676 - [c88]Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. AKBC 2021 - [c87]Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis:
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) 2021: 447-458 - [i39]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 abs/2103.10730 (2021) - [i38]Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar:
Question Answering Over Temporal Knowledge Graphs. CoRR abs/2106.01515 (2021) - [i37]Sawan Kumar, Partha P. Talukdar:
Reordering Examples Helps during Priming-based Few-Shot Learning. CoRR abs/2106.01751 (2021) - [i36]Simran Khanuja, Melvin Johnson, Partha P. Talukdar:
MergeDistill: Merging Pre-trained Language Models using Distillation. CoRR abs/2106.02834 (2021) - [i35]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 abs/2106.03958 (2021) - [i34]Chandrahas, Partha Pratim Talukdar:
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types. CoRR abs/2106.12806 (2021) - [i33]Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. CoRR abs/2109.14364 (2021) - 2020
- [j9]Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar:
Syntax-Guided Controlled Generation of Paraphrases. Trans. Assoc. Comput. Linguistics 8: 330-345 (2020) - [c86]Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. AAAI 2020: 3009-3016 - [c85]Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar:
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. AAAI 2020: 5470-5477 - [c84]Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar:
P-SIF: Document Embeddings Using Partition Averaging. AAAI 2020: 7863-7870 - [c83]Apoorv Saxena, Aditay Tripathi, Partha P. Talukdar:
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings. ACL 2020: 4498-4507 - [c82]Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. ACL 2020: 5516-5522 - [c81]Sawan Kumar, Partha P. Talukdar:
NILE : Natural Language Inference with Faithful Natural Language Explanations. ACL 2020: 8730-8742 - [c80]Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar:
NHP: Neural Hypergraph Link Prediction. CIKM 2020: 1705-1714 - [c79]Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar:
Graph-based Deep Learning in Natural Language Processing. COMAD/CODS 2020: 371-372 - [c78]Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. ECAI 2020: 2030-2037 - [c77]Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar:
Composition-based Multi-Relational Graph Convolutional Networks. ICLR 2020 - [c76]Chandrahas, Nilesh Agrawal, Partha P. Talukdar:
Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings. ICON 2020: 60-69 - [c75]Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha P. Talukdar:
Inducing Interpretability in Knowledge Graph Embeddings. ICON 2020: 70-75 - [i32]Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar:
Syntax-guided Controlled Generation of Paraphrases. CoRR abs/2005.08417 (2020) - [i31]Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar:
P-SIF: Document Embeddings Using Partition Averaging. CoRR abs/2005.09069 (2020) - [i30]Sawan Kumar, Partha P. Talukdar:
NILE : Natural Language Inference with Faithful Natural Language Explanations. CoRR abs/2005.12116 (2020)
2010 – 2019
- 2019
- [j8]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): 2304-2318 (2019) - [c74]Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli, Devarajan Sridharan:
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. AAAI 2019: 630-638 - [c73]Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar:
KVQA: Knowledge-Aware Visual Question Answering. AAAI 2019: 8876-8884 - [c72]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: 3308-3318 - [c71]Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) 2019: 5137-5154 - [c70]Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha P. Talukdar:
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings. ACL (1) 2019: 5670-5681 - [c69]Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar:
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. AISTATS 2019: 1792-1801 - [c68]Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar:
Lovasz Convolutional Networks. AISTATS 2019: 1978-1987 - [c67]Swapnil Gupta, Sreyash Kenkre, Partha P. Talukdar:
CaRe: Open Knowledge Graph Embeddings. EMNLP/IJCNLP (1) 2019: 378-388 - [c66]Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar:
Graph-based Deep Learning in Natural Language Processing. EMNLP/IJCNLP (2) 2019 - [c65]Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar:
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. NAACL-HLT (1) 2019: 3609-3619 - [c64]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: 1509-1520 - [i29]Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar:
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. CoRR abs/1901.08255 (2019) - [i28]Shikhar Vashishth, Prince Jain, Partha P. Talukdar:
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. CoRR abs/1902.00172 (2019) - [i27]Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. CoRR abs/1902.00175 (2019) - [i26]Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar:
AD3: Attentive Deep Document Dater. CoRR abs/1902.02161 (2019) - [i25]Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom Michael Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. CoRR abs/1906.11861 (2019) - [i24]Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. CoRR abs/1911.00219 (2019) - [i23]Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar:
Composition-based Multi-Relational Graph Convolutional Networks. CoRR abs/1911.03082 (2019) - [i22]Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. CoRR abs/1911.03903 (2019) - [i21]Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. CoRR abs/1911.07918 (2019) - [i20]Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar:
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. CoRR abs/1911.07979 (2019) - 2018
- [j7]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): 103-115 (2018) - [c63]Chandrahas, Aditya Sharma, Partha P. Talukdar:
Towards Understanding the Geometry of Knowledge Graph Embeddings. ACL (1) 2018: 122-131 - [c62]Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar:
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. ACL (1) 2018: 1575-1584 - [c61]Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. ACL (1) 2018: 1605-1615 - [c60]Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CIKM 2018: 307-316 - [c59]Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP 2018: 1257-1266 - [c58]Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar:
AD3: Attentive Deep Document Dater. EMNLP 2018: 1871-1880 - [c57]Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. EMNLP 2018: 2001-2011 - [c56]Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma:
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. NAACL-HLT 2018: 1844-1853 - [c55]Shikhar Vashishth, Prince Jain, Partha P. Talukdar:
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. WWW 2018: 1317-1327 - [i19]Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CoRR abs/1802.06371 (2018) - [i18]Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar:
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. CoRR abs/1804.06987 (2018) - [i17]Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar:
Lovasz Convolutional Networks. CoRR abs/1805.11365 (2018) - [i16]Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha Pratim Talukdar:
HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification. CoRR abs/1809.02589 (2018) - [i15]Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar:
Graph Convolutional Networks based Word Embeddings. CoRR abs/1809.04283 (2018) - [i14]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 abs/1811.05660 (2018) - [i13]Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR abs/1812.04361 (2018) - 2017
- [c54]Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar:
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. AKBC@NIPS 2017 - [c53]Srinivas Ravishankar, Chandrahas Dewangan, Partha P. Talukdar:
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. AKBC@NIPS 2017 - [c52]Prakhar Ojha, Partha P. Talukdar:
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs. EMNLP 2017: 1741-1750 - [c51]Aditya Sharma, Zarana Parekh, Partha P. Talukdar:
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. EMNLP 2017: 2658-2663 - [c50]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: 216-227 - [c49]Robert S. 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: 597-605 - [i12]Madhav Nimishakavi, Partha P. Talukdar:
Event Schema Induction using Tensor Factorization with Back-off. CoRR abs/1707.01917 (2017) - [i11]Tushar Nagarajan, Sharmistha Jat, Partha P. Talukdar:
CANDiS: Coupled & Attention-Driven Neural Distant Supervision. CoRR abs/1710.09942 (2017) - [i10]Srinivas Ravishankar, Chandrahas, Partha Pratim Talukdar:
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. CoRR abs/1711.05401 (2017) - [i9]Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha Pratim Talukdar:
Inducing Interpretability in Knowledge Graph Embeddings. CoRR abs/1712.03547 (2017) - 2016
- [j6]Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy:
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. Stat. Anal. Data Min. 9(4): 269-290 (2016) - [c48]Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum:
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. AAAI 2016: 222-228 - [c47]Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar:
Relation Schema Induction using Tensor Factorization with Side Information. EMNLP 2016: 414-423 - [c46]Prakhar Ojha, Partha P. Talukdar:
Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing. HCOMP 2016: 169-178 - [c45]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM 2016: 871-876 - [c44]Danish, Yogesh Dahiya, Partha P. Talukdar:
Discovering Response-Eliciting Factors in Social Question Answering : A Reddit Inspired Study. ICWSM 2016: 82-91 - [i8]Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar:
Relation Schema Induction using Tensor Factorization with Side Information. CoRR abs/1605.04227 (2016) - [i7]Prakhar Ojha, Partha P. Talukdar:
Relational Crowdsourcing and its Application in Knowledge Graph Evaluation. CoRR abs/1610.06912 (2016) - 2015
- [j5]Zhepeng Yan, Nan Zheng, Zachary G. Ives, Partha Pratim Talukdar, Cong Yu:
Active learning in keyword search-based data integration. VLDB J. 24(5): 611-631 (2015) - [c43]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:
Never-Ending Learning. AAAI 2015: 2302-2310 - [c42]Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell:
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposia 2015 - [c41]Manjunath Hegde, Partha P. Talukdar:
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity. EMNLP 2015: 530-535 - [c40]Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu:
Translation Invariant Word Embeddings. EMNLP 2015: 1084-1088 - [c39]Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar:
Knowledge Base Inference using Bridging Entities. EMNLP 2015: 2038-2043 - [c38]Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell:
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand. IJCAI 2015: 837-843 - [c37]Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
A Compositional and Interpretable Semantic Space. HLT-NAACL 2015: 32-41 - [c36]Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell:
Principled Neuro-Functional Connectivity Discovery. SDM 2015: 631-639 - [c35]Bhavana Bharat Dalvi, Einat Minkov, Partha Pratim Talukdar, William W. Cohen:
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. WSDM 2015: 369-378 - [i6]Robert S. 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 abs/1505.06792 (2015) - [i5]Danish, Yogesh Dahiya, Partha P. Talukdar:
Want Answers? A Reddit Inspired Study on How to Pose Questions. CoRR abs/1512.01768 (2015) - 2014
- [b1]Amarnag Subramanya, Partha Pratim Talukdar:
Graph-Based Semi-Supervised Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00443-8 - [j4]Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data 2(4): 216-229 (2014) - [c34]Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. ACL (1) 2014: 489-499 - [c33]Partha Pratim Talukdar, William W. Cohen:
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. AISTATS 2014: 940-947 - [c32]Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell:
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. EMNLP 2014: 397-406 - [c31]Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. KDD 2014: 95-104 - [c30]Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing:
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. SDM 2014: 109-117 - [c29]Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy:
Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. SDM 2014: 118-126 - 2013
- [j3]Zhepeng Yan, Nan Zheng, Zachary G. Ives, Partha Pratim Talukdar, Cong Yu:
Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration. Proc. VLDB Endow. 6(3): 205-216 (2013) - [c28]Derry Wijaya, Partha Pratim Talukdar, Tom M. Mitchell:
PIDGIN: ontology alignment using web text as interlingua. CIKM 2013: 589-598 - [c27]Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar:
AKBC 2013: third workshop on automated knowledge base construction. CIKM 2013: 2539-2540 - [c26]Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell:
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. CoNLL 2013: 84-93 - [c25]Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell:
Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. EMNLP 2013: 833-838 - [e2]Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar:
Proceedings of the 2013 workshop on Automated knowledge base construction, AKBC@CIKM 13, San Francisco, California, USA, October 27-28, 2013. ACM 2013, ISBN 978-1-4503-2411-3 [contents] - [i4]Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
CMUML System for KBP 2013 Slot Filling. TAC 2013 - [i3]Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy:
Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization. CoRR abs/1302.7043 (2013) - [i2]Partha Pratim Talukdar, William W. Cohen:
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. CoRR abs/1310.2959 (2013) - 2012
- [c24]Amar Subramanya, Partha Pratim Talukdar:
Graph-based Semi-Supervised Learning Algorithms for NLP. ACL (Tutorial Abstracts) 2012: 6 - [c23]Partha P. Talukdar, William W. Cohen:
Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia. BEA@NAACL-HLT 2012: 307-315 - [c22]Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
Acquiring temporal constraints between relations. CIKM 2012: 992-1001 - [c21]Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer:
Metric Learning for Graph-Based Domain Adaptation. COLING (Posters) 2012: 255-264 - [c20]Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell:
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding. COLING 2012: 1933-1950 - [c19]Brian Murphy, Partha P. Talukdar, Tom M. Mitchell:
Selecting Corpus-Semantic Models for Neurolinguistic Decoding. *SEM@NAACL-HLT 2012: 114-123 - [c18]Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
Coupled temporal scoping of relational facts. WSDM 2012: 73-82 - [c17]Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar:
Associating structured records to text documents. WWW (Companion Volume) 2012: 451-452 - [e1]James Fan, Raphael Hoffman, Aditya Kalyanpur, Sebastian Riedel, Fabian M. Suchanek, Partha Pratim Talukdar:
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, AKBC-WEKEX@NAACL-HLT 2012, Montrèal, Canada, June 7-8, 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-20-6 [contents] - 2011
- [c16]Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke:
Improving Product Classification Using Images. ICDM 2011: 310-319 - [c15]Anton Bakalov, Ariel Fuxman, Partha Pratim Talukdar, Soumen Chakrabarti:
SCAD: collective discovery of attribute values. WWW 2011: 447-456 - 2010
- [c14]Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer:
Learning Better Data Representation Using Inference-Driven Metric Learning. ACL (2) 2010: 377-381 - [c13]Partha Pratim Talukdar, Fernando C. N. Pereira:
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition. ACL 2010: 1473-1481 - [c12]Partha Pratim Talukdar, Zachary G. Ives, Fernando C. N. Pereira:
Automatically incorporating new sources in keyword search-based data integration. SIGMOD Conference 2010: 387-398
2000 – 2009
- 2009
- [c11]Zachary G. Ives, Craig A. Knoblock, Steven Minton, Marie Jacob, Partha Pratim Talukdar, Rattapoom Tuchinda, José Luis Ambite, Maria Muslea, Cenk Gazen:
Interactive Data Integration through Smart Copy & Paste. CIDR 2009 - [c10]Partha Pratim Talukdar, Koby Crammer:
New Regularized Algorithms for Transductive Learning. ECML/PKDD (2) 2009: 442-457 - [i1]Zachary G. Ives, Craig A. Knoblock, Steven Minton, Marie Jacob, Partha Pratim Talukdar, Rattapoom Tuchinda, José Luis Ambite, Maria Muslea, Cenk Gazen:
Interactive Data Integration through Smart Copy & Paste. CoRR abs/0909.1769 (2009) - 2008
- [j2]Partha Pratim Talukdar, Marie Jacob, Muhammad Salman Mehmood, Koby Crammer, Zachary G. Ives, Fernando C. N. Pereira, Sudipto Guha:
Learning to create data-integrating queries. Proc. VLDB Endow. 1(1): 785-796 (2008) - [j1]Zachary G. Ives, Todd J. Green, Grigoris Karvounarakis, Nicholas E. Taylor, Val Tannen, Partha Pratim Talukdar, Marie Jacob, Fernando C. N. Pereira:
The ORCHESTRA Collaborative Data Sharing System. SIGMOD Rec. 37(3): 26-32 (2008) - [c9]Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat, Fernando C. N. Pereira:
Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks. EMNLP 2008: 582-590 - [c8]Koby Crammer, Partha Pratim Talukdar, Fernando C. N. Pereira:
A rate-distortion one-class model and its applications to clustering. ICML 2008: 184-191 - [c7]Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar:
Regularized Learning with Networks of Features. NIPS 2008: 1401-1408 - 2007
- [c6]Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll:
Automatic Code Assignment to Medical Text. BioNLP@ACL 2007: 129-136 - [c5]Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando C. N. Pereira:
Frustratingly Hard Domain Adaptation for Dependency Parsing. EMNLP-CoNLL 2007: 1051-1055 - 2006
- [c4]Partha Pratim Talukdar, Thorsten Brants, Mark Y. Liberman, Fernando C. N. Pereira:
A Context Pattern Induction Method for Named Entity Extraction. CoNLL 2006: 141-148 - 2004
- [c3]Sridhar Krishna Nemala, Partha Pratim Talukdar, Kalika Bali, A. G. Ramakrishnan:
Duration modeling for hindi text-to-speech synthesis system. INTERSPEECH 2004: 789-792 - [c2]S. R. Deepa, Kalika Bali, Angarai Ganesan Ramakrishnan, Partha Pratim Talukdar:
Automatic Generation of Compound Word Lexicon for Hindi Speech Synthesis. LREC 2004 - [c1]Kalika Bali, Partha Pratim Talukdar, Sridhar Krishna Nemala, A. G. Ramakrishnan:
Tools for the development of a Hindi speech synthesis system. SSW 2004: 109-114
Coauthor Index
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