News & Activities



Research


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 BioIE Group.

Recent/upcoming Program Committee Activities:
AAAI (2018), ACL (2017), AISTATS (2016), CoNLL (2016), EMNLP (2017), ICML (2017), IJCAI (2016), KDD (2017), NAACL (2018), NIPS (2017), WSDM (2018), WWW (2017).

Teaching


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

Publications

Google Scholar Profile


Book

Graph-based Semi-Supervised Learning. Amarnag Subramanya, Partha Pratim Talukdar. Morgan & Claypool Publishers. [Amazon]


2018

Dating Documents using Graph Convolution Networks
Shikhar Vashishth, Swayambhu Nath Ray, Shib Sankar Dasgupta and Partha Talukdar
56th 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 Talukdar
56th 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 Talukdar
56th 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. [acceptance rate: 14.8%]

ELDEN: Improved Entity Linking using Densified Knowledge Graphs
Priya Radhakrishnan, Partha Talukdar and Vasudeva Varma
NAACL 2018, New Orleans, USA


2017

KGEval: 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 Talukdar
6th Workshop on Automated Knowledge Base Construction (AKBC) 2017

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention
Sharmistha Jat, Siddhesh Khandelwal and Partha Talukdar
6th Workshop on Automated Knowledge Base Construction (AKBC) 2017

BRAINZOOM: 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, USA

Facets: 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, USA


2016

Relation 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, USA

Quality Estimation of Workers in Collaborative Crowdsourcingusing Group Testing
Prakhar Ojha, Partha Talukdar
AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016), Austin, USA.

Discovering Response-Eliciting Factors in Social Question-Answering: A Reddit Inspired Study
Danish, Yogesh Dahiya and Partha Talukdar
10th International AAAI Conference on Web and Social Media (ICWSM-16) [acceptance rate: 17%]

ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources
Mehdi Samadi, Partha Talukdar, Manuela Veloso, Manuel Blum
30th AAAI Conference Conference on Artificial Intelligence (AAAI-16), Phoenix, USA

Efficient 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 Journal


2015

An 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)

AskWorld: 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.

Never-Ending Learning
Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnmurthy, Ni Lao, Kathryn Mazaitis, Tahir Mohammad, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves and Joel Welling
Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, USA.

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints
Bhavana Dalvi, Einat Minkov, Partha Talukdar and William Cohen
International Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China

A Compositional and Interpretable Semantic Space
Alona Fyshe, Leila Wehbe, Partha P. Talukdar, Brian Murphy and Tom M. Mitchell
Conference of the North American Chapter of the ACL (NAACL 2015), Denver, USA

Principled Neuro-Functional Connectivity Discovery
K. Huang, N. Sidiropoulos, C. Faloutsos, E. Papalexakis, P. Talukdar, T. 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 2013

Combining 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, USA


2014

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch
Partha Pratim Talukdar, William Cohen
17th International Conference on Artificial Intelligence and Statistics (AISTATS 2014), Reykjavik, Iceland.
[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.

Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses
Leila Wehbe, Brian Murphy, Partha Talukdar, Alona Fyshe, Aaditya Ramdas, Tom Mitchell

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Interpretable Semantic Vectors from a Joint Model of Brain- and Text-based Meaning
Alona Fyshe, Partha Talukdar, Brian Murphy, Tom Mitchell
52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Baltimore, USA.

Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments
Evangelos Papalexakis, Alona Fyshe, Nicholas Sidiropoulos, Partha Talukdar, Tom Mitchell, Christos Faloutsos
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), New York City, USA.

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x [Supplementary] [Code]
E. Papalexakis, T. Mitchell, N. Sidiropoulos, C. Faloutsos, P. Talukdar, B. Murphy
SIAM International Conference on Data Mining (SDM 2014), Philadelphia, USA.
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FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop
Alex Beutel, Abhimanu Kumar, Evangelos Papalexakis, Partha Talukdar, Christos Faloutsos, Eric Xing
SIAM International Conference on Data Mining (SDM 2014), Philadelphia, USA.


2013

Improving Learning and Inference in a Large Knowledge-base using Latent Syntactic Cues [Details]
Matt Gardner, Partha Talukdar, Bryan Kisiel, Tom Mitchell
International Conference on Empirical Methods in NLP (EMNLP 2013), Seattle, USA. [Short Paper]

PIDGIN: Ontology Alignment using Web Text as Interlingua [Details] [Slides]
Derry Wijaya, Partha Pratim Talukdar, Tom Mitchell
International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, USA.

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
Alona Fyshe, Partha Talukdar, Brian Murphy, and Tom Mitchell
International Conference on Computational Natural Language Learning (CoNLL 2013), Sofia, Bulgaria.

Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration
Zhepeng Yan, Nan Zheng, Zack Ives, Partha Talukdar, Cong Yu
International Conference on Very Large Databases (VLDB 2013), Trento, Italy.
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Advances in Automated Knowledge Base Construction
Fabian M. Suchanek, James Fan, Raphael Hoffmann, Sebastian Riedel, Partha Talukdar
ACM SIGMOD Record [To Appear]


2012

Acquiring Temporal Constraints between Relations
Partha Pratim Talukdar, Derry Wijaya, Tom Mitchell
International Conference on Information and Knowledge Management (CIKM 2012), Hawaii, USA.

Coupled Temporal Scoping of Relational Facts
Partha Pratim Talukdar, Derry Wijaya, Tom Mitchell
International Conference on Web Search and Data Mining (WSDM 2012), Seattle, USA.

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding
Brian Murphy, Partha Talukdar, Tom Mitchell
International Conference on Computational Linguistics (COLING 2012), Mumbai, India.
[ Slides ] [ Data ]

Selecting Corpus-Semantic Models for Neurolinguistic Decoding
Brian Murphy, Partha Talukdar, Tom Mitchell
Joint Conference on Lexical and Computational Semantics (StarSem) 2012, Montreal, Canada.

Metric Learning for Graph-based Domain Adaptation
Paramveer Dhillon, Partha Pratim Talukdar, Koby Crammer
International Conference on Computational Linguistics (COLING 2012) [Short Paper], Mumbai, India.

Associating Structured Records To Text Documents
Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John Shafer, Partha Pratim Talukdar
International World Wide Web Conference (WWW 2012) [Poster], Lyon, France.

Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia
Partha Pratim Talukdar, William Cohen
HLT-NAACL 2012 Workshop on Innovative Use of NLP for Building Educational Applications (BEA7)

Tracking Story Reading in the Brain
Leila Wehbe, Partha Talukdar, Brian Murphy, Alona Fyshe, Gustavo Sudre, and Tom Mitchell
NIPS 2012 Workshop on Machine Learning and Interpretation in NeuroImaging, Lake Tahoe, USA.

2011

SCAD: Collective Discovery of Attribute Values
Anton Bakalov, Ariel Fuxman, Partha Pratim Talukdar, Soumen Chakrabarti
International World Wide Web Conference (WWW 2011), Hyderabad, India.

Improving Product Classification Using Images
Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke
International Conference on Data Mining (ICDM 2011), Vancouver, Canada.

2010

Graph-Based Weakly-Supervised Methods for Information Extraction & Integration
Partha Pratim Talukdar
PhD Thesis, CIS Department, University of Pennsylvania, May 2010.

Experiments in Graph-based Semi-Supervised Learning Methods for Class-Instance Acquisition [ Slides ] [ Data ]
Partha Pratim Talukdar, Fernando Pereira
ACL 2010, Uppsala, Sweden.

Learning Better Data Representation using Inference-Driven Metric Learning [ Poster ]
Paramveer Dhillon, Partha Pratim Talukdar, Koby Crammer
ACL 2010 (Short Paper), Uppsala, Sweden.

Automatically Incorporating New Sources in Keyword Search-Based Data Integration [ Slides ]
Partha Pratim Talukdar, Zack Ives, Fernando Pereira
2010 ACM SIGMOD Conference, Indianapolis, USA.

Inference-Driven Metric Learning (IDML) for Graph Construction
Paramveer Dhillon, Partha Pratim Talukdar, Koby Crammer
UPenn CIS Technical Report MS-CIS-10-18

2009

New Regularized Algorithms for Transductive Learning [ Slides ] [ Video ]
Partha Pratim Talukdar, Koby Crammer
European Conference on Machine Learning (ECML-PKDD) 2009, Bled, Slovenia.

Sequence Learning from Data with Multiple Labels [ Slides ]
Mark Dredze, Partha Pratim Talukdar, Koby Crammer
ECML-PKDD 2009 workshop on Learning from Multi-Label Data (MLD 09), Bled, Slovenia.

Interactive Data Integration through Smart Copy and Paste
Zack Ives, Craig Knoblock, Steve Minton, Marie Jacob, Partha Talukdar, Rattapoom Tuchinda, Jose Luis Ambite, Maria Muslea, Cenk Gazen.
Conference on Innovative Data Systems Research (CIDR) 2009, Asilomar, California.

Regularized Learning with Networks of Features.
Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar.
Advances in Neural Information Processing Systems (NIPS) 2009.

Topics in Graph Construction for Semi-Supervised Learning
Partha Pratim Talukdar
UPenn CIS Technical Report MS-CIS-09-13

2008

Weakly Supervised Acquisition of Labeled Class Instances using Graph Random Walks [ Slides ]
Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat, Fernando Pereira.
EMNLP 2008, Honolulu, Hawaii.

The Orchestra Collaborative Data Sharing System.
Todd J. Green, Grigoris Karvounarakis, Nicholas E. Taylor, Val Tannen, Partha Pratim Talukdar, Marie Jacob, Fernando Pereira.
ACM SIGMOD Record, September 2008.

Learning to Create Data-Integrating Queries [ Slides ]
Partha Pratim Talukdar, Marie Jacob, Mohammad Salman Mehmood, Koby Crammer, Zack Ives, Fernando Pereira, Sudipto Guha.
34th International Conference on Very Large Databases (VLDB 2008), Auckland, New Zealand.

A Rate-Distortion One-Class Model and its Applications to Clustering. [ Slides ] [ Video ]
Koby Crammer, Partha Pratim Talukdar, Fernando Pereira.
International Conference on Machine Learning (ICML) 2008, Helsinki, Finland.

DRASO: Declaratively Regularized Alternating Structural Optimization. [ Slides ] [ Video ]
Partha Pratim Talukdar, John Blitzer, Ted Sandler, Mark Dredze, Koby Crammer, Fernando Pereira.
ICML 2008 Workshop on Prior Knowledge for Text and Language Processing, Helsinki, Finland.

2007

Lightly-Supervised Attribute Extraction.
Kedar Bellare, Partha Pratim Talukdar, Giridhar Kumaran, Fernando Pereira, Mark Liberman, Andrew McCallum and Mark Dredze.
NIPS 2007 Workshop on Machine Learning for Web Search.

Frustratingly Hard Domain Adaptation for Dependency Parsing.
Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, Joao Graca, and Fernando Pereira.
CoNLL Shared Task Session of EMNLP-CoNLL 2007, Prague.

Automatic Code Assignment to Medical Text.
Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar and Steve Caroll.
BioNLP 2007, Prague.

2006

A Context Pattern Induction Method for Named Entity Extraction [ Slides ]
Partha Pratim Talukdar, Thorsten Brants, Mark Liberman and Fernando Pereira
Tenth Conference on Computational Natural Language Learning (CoNLL-X), New York City, June 8-9, 2006.

2004

Hindi Text Normalization.
K. Panchapagesan, Partha Pratim Talukdar, N. Sridhar Krishna, Kalika Bali, A.G. Ramakrishnan.
Fifth International Conference on Knowledge Based Computer Systems (KBCS), 19-22 December 2004, Hyderabad India.

Phonetic Distance Based Cross-lingual Search.
Sriram S., Partha Pratim Talukdar, Sameer Badaskar, Kalika Bali, A.G. Ramakrishnan.
International Conference on Natural Language Processing, 19-22 December 2004, Hyderabad India.

Optimal Creation of Speech Databases for Indian Language Speech Technology
Satinder Singh, Partha Talukdar, Sridhar Krishna, Sandeep Manocha, Kalika Bali,Sitaram R.N.V..
International Conference on Speech and Language Technology/ O-COCOSDA , 17-19 November 2004, New Delhi, India.

Tools for the Development of a Hindi Speech Synthesis System
Kalika Bali, A.G.Ramakrishnan, Partha Pratim Talukdar, N. Sridhar Krishna.
5th ISCA Speech Synthesis Workshop, 14th-16th June 2004, Carnegie Mellon University, USA.

Duration Modeling for Hindi Text-to-Speech Synthesis.
N. Sridhar Krishna, Partha Pratim Talukdar, Kalika Bali, A.G. Ramakrishnan.
8th International Conference on Spoken Language Laguage Processing (ICSLP), 4th-8th October 2004, Jeju Island, Korea.

Automatic Generation of Compound Word Lexicon for Hindi Speech Synthesis.
Deepa S.R., A.G. Ramakrishnan, Kalika Bali, Partha Pratim Talukdar.
Language Resources and Evaluation Conference (LREC) 2004, Portugal, 26-28 May 2004.

Software


Junto Label Propagation Toolkit: This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms.

OCRD: One Class Algorithm based on Rate-Distortion theory (download)
An algorithm to choose a coherent subset of points from a large set. Please see A Rate-Distortion One-Class Model and its Applications to Clustering for details.


About Me


I was born and raised in Guwahati, Assam.

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