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    Assistant Professor Department of Computational and Data Sciences (CDS) and Department of Computer Science and Automation (CSA)Indian Institute of Science (IISc) Bangalore, India 560012 Office: CDS 322 Email: ppt at in CV I am broadly interested in machine learning, natural language processing, data integration, and cognitive science. My recent research has focused on graph-based learning algorithms for large-scale information extraction and data integration, temporal information processing, automatic knowledge harvesting from large data, and neuro-semantics. My research group at IISc: Machine And Language Learning (MALL) Lab To learn more about Machine Learning @ IISc, visit here. I also continue to actively collaborate with the following research groups at CMU: Read the Web (CMU), CMU Brain Research Group Past Research Groups: Search Labs (Microsoft Research), Structured Learning at Penn, Penn Research in Machine Learning (PRIML), Penn Natural Language Processing, Penn Bio IE Group. Recent/upcoming Program Committee Activities: AAAI (2018), ACL (2017), AISTATS (2016), Co NLL (2016), EMNLP (2017), ICML (2017), IJCAI (2016), KDD (2017), NAACL (2018), NIPS (2017), WSDM (2018), WWW (2017). [Amazon]2018Dating Documents using Graph Convolution Networks Shikhar Vashishth, Swayambhu Nath Ray, Shib Sankar Dasgupta and Partha Talukdar56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia Towards Understanding Geometry of Knowledge Graph Embeddings Chandrahas Dewangan, Aditya Sharma and Partha Talukdar56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation Madhav Nimishakavi, Manish Gupta and Partha Talukdar56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information [Code] Shikhar Vashishth, Prince Jain and Partha Talukdar The Web Conference 2018 (WWW 2018), Lyon, France. Mitchell SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada Active Learning in Keyword Search-based Data Integration Zhepeng Yan, Nan Zheng, Zachary Ives, Partha Pratim Talukdar, Cong Yu The VLDB Journal Special Issue on Best Papers of VLDB 2013Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text Matt Gardner, Partha Talukdar and Tom Mitchell AAAI Spring Symposium on Knowledge Representation and Reasoning, Stanford, USA2014Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch Partha Pratim Talukdar, William Cohen17th International Conference on Artificial Intelligence and Statistics (AISTATS 2014), Reykjavik, Iceland. Jan-May 2018: E1 246: Natural Language Understanding Aug-Dec 2017: DS 222: Machine Learning with Large Datasets Jan-May 2016: SE 256: Scalable Systems for Data Science Jan-May 2016: SE 294: Data Analysis and Visualization Aug-Dec 2015: E1 246: Natural Language Understanding Jan-May 2015: SE 294: Data Analysis and Visualization Aug-Dec 2014: SE 305: Web-scale Knowledge Harvesting Book Graph-based Semi-Supervised Learning. [acceptance rate: 14.8%]ELDEN: Improved Entity Linking using Densified Knowledge Graphs Priya Radhakrishnan, Partha Talukdar and Vasudeva Varma NAACL 2018, New Orleans, USA2017KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs Prakhar Ojha, Partha Talukdar International Conference on Empirical Methods in NLP (EMNLP 2017), Cohenhagen, Denmark Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods Aditya Sharma, Zarana Parekh, Partha Talukdar International Conference on Empirical Methods in NLP (EMNLP 2017), Cohenhagen, Denmark [Short Paper]Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs Srinivas Ravishankar, Chandrahas Dewangan and Partha Talukdar6th Workshop on Automated Knowledge Base Construction (AKBC) 2017Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention Sharmistha Jat, Siddhesh Khandelwal and Partha Talukdar6th Workshop on Automated Knowledge Base Construction (AKBC) 2017BRAINZOOM: High Resolution Reconstruction from Multi-modal Brain Signals Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos Papalexakis, Partha Talukdar, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Barnabas Poczos SIAM International Conference on Data Mining (SDM 2017), Houston, USAFacets: Adaptive Local Exploration of Large Graphs Robert Pienta, Minsuk (Brian) Kahng, Zhiyuan Lin, Jilles Vreeken, Partha Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau SIAM International Conference on Data Mining (SDM 2017), Houston, USA2016Relation Schema Induction using Tensor Factorization with Side Information Madhav Nimishakavi, Uday Singh Saini, Partha Talukdar International Conference on Empirical Methods in NLP (EMNLP 2016), Austin, USAQuality Estimation of Workers in Collaborative Crowdsourcingusing Group Testing Prakhar Ojha, Partha Talukdar AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016), Austin, USA. [pre-print presented at NIPS 2013 Workshop on Randomized Methods for Machine Learning]Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases Matt Gardner, Partha Talukdar, Jayant Krishnamurthy, and Tom Mitchell International Conference on Empirical Methods in NLP (EMNLP 2014), Doha, Qatar. Discovering Response-Eliciting Factors in Social Question-Answering: A Reddit Inspired Study Danish, Yogesh Dahiya and Partha Talukdar10th International AAAI Conference on Web and Social Media (ICWSM-16) [acceptance rate: 17%]Claim Eval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources Mehdi Samadi, Partha Talukdar, Manuela Veloso, Manuel Blum30th AAAI Conference Conference on Artificial Intelligence (AAAI-16), Phoenix, USAEfficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis Xiao Fu, Kejun Huang, Evangelos Papalexakis, Hyun-Ah Song, Partha Talukdar, Nicholas Sidiropoulos, Christos Faloutsos, Tom Mitchell International Conference on Data Mining (ICDM 2016), Barcelona, Spain [Short Paper, acceptance: 11.1%]Turbo-SMT: Parallel Coupled sparse Matrix-Tensor Factorizations and applications Evangelos Papalexakis, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Partha Talukdar, Brian Murphy Statistical Analysis and Data Mining: The ASA Data Science Journal2015An Entity-centric Approach for Overcoming Knowledge Graph Sparsity Manjunath Hegde, Partha Talukdar Empirical Methods in NLP (EMNLP 2015), Portugal (Short Paper)Knowledge Base Inference using Bridging Entities Bhushan Kotnis, Pradeep Bansal, Partha Talukdar Empirical Methods in NLP (EMNLP 2015), Portugal (Short Paper)Translation Invariant Word Embeddings Matt Gardner, Kejun Huang, Evangelos Papalexakis, Xiao Fu, Partha Talukdar, Christos Faloutsos, Nicholas Sidiropoulos, Tom Mitchell Empirical Methods in NLP (EMNLP 2015), Portugal (Short Paper)Ask World: Budget-Sensitive Query Evaluation for Knowledge-on-Demand Mehdi Samadi, Partha Talukdar, Manuela Veloso, Tom Mitchell International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina. 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