Publications
Book
Graph-based Semi-Supervised Learning. Amarnag Subramanya, Partha Pratim Talukdar. Morgan & Claypool Publishers. [
Amazon]
I don't actively maintain the publications list, please see the Google Scholar listing for a more up-to-date version
2024
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
ICLR 2024
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages [
Dataset]
Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar
ACL 2024
UGIF: UI Grounded Instruction Following [
UGIF Dataset]
Sagar Gubbi Venkatesh, Partha Talukdar, Srini Narayanan
NAACL 2024 Findings
Multimodal Modeling For Spoken Language Identification
Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa
ICASSP 2024
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers
Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha Talukdar
Learning on Graphs Conference 2024
2023
Self-influence Guided Data Reweighing for Language Model Pre-training
Megh Thakkar, Sriram Ganapathy, Shikhar Vashishth, Tolga Bolukbasi, Sarath Chandar, Partha Talukdar
EMNLP 2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean-Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David I. Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar
EMNLP 2023 Findings
Label Aware Speech Representation Learning For Language Identification
Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
Interspeech 2023
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning
Kartikeya Badola, Shachi Dave, Partha Talukdar
ACL 2023 Findings
Bootstrapping Multilingual Semantic Parsers using Large Language Models
Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar
EACL 2023
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha Talukdar, Soumen Chakrabarti
EACL 2023
Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages
Simran Khanuja, Sebastian Ruder, Partha Talukdar
Findings of
EACL 2023
Salient Span Masking for Temporal Understanding
Jeremy Cole, Aditi Chaudhary, Bhuwan Dhingra and Partha Talukdar
EACL 2023
2022
Re-contextualizing Fairness in NLP: The Case of India
Shaily Bhatt, Sunipa Dev, Partha Talukdar, Shachi Dave, Vinodkumar Prabhakaran
AACL-IJCNLP 2022
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
NAACL 2022
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages
Vaidehi Patil, Partha Talukdar, Sunita Sarawagi
ACL 2022
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar
ACL 2022
GPU-accelerated connectome discovery at scale
Varsha Sreenivasan, Sawan Kumar, Franco Pestilli, Partha Talukdar, Devarajan Sridharan
Nature Computational Science volume 2, pages298–306 (2022)
Walking with PACE-Personalized and Automated Coaching Engine
Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer
30th ACM UMAP 2022 (
Best Paper Award)
2021
Question Answering over Temporal Knowledge Graphs [
Code]
Apoorv Saxena, Soumen Chakrabarti and Partha Talukdar
ACL 2021
MergeDistill: Merging Language Models using Pre-trained Distillation
Simran Khanuja, Melvin Johnson and Partha Talukdar
Findings of ACL 2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study [
Code]
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha Talukdar and Sunita Sarawagi
ACL 2021
Reordering Examples Helps during Priming-based Few-shot Learning [
Code]
Sawan Kumar, Partha Talukdar
Findings of ACL 2021
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types [
Code]
Chandrahas, Partha Talukdar
Findings of ACL 2021
Spatial Reasoning from Natural Language Instructions for Robot Manipulation
Sagar Gubbi Venkatesh, Anirban Biswas, Raviteja Upadrashta, Vikram Srinivasan, Partha Talukdar, Bharadwaj Amrutur
ICRA 2021
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs [
Code]
Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha Talukdar, Anand Louis
PAKDD 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, Vish Subramanian, Partha Talukdar
Preprint: arXiv:2103.10730
2020
NHP: Neural Hypergraph Link Prediction
Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis and Partha Talukdar
CIKM 2020
Natural Language Inference with Faithful Natural Language Explanations [
Code]
Sawan Kumar and Partha Talukdar
ACL 2020
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings [
Code]
Apoorv Saxena, Aditay Tripathi and Partha Talukdar
ACL 2020
A Re-evaluation of Knowledge Graph Completion Methods [
Code]
Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar and Yiming Yang
ACL 2020 [Short Paper]
Syntax-guided Controlled Generation of Paraphrases [
Code]
Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha Talukdar
Transactions of the ACL (TACL) 2020 [To be presented at ACL 2020]
Composition- based Multi-Relational Graph Convolutional Networks [
Code]
Shikhar Vashishth*, Soumya Sanyal*, Vikram Nitin, and Partha Talukdar
ICLR 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [
Code]
Ekagra Ranjan, Soumya Sanyal, Partha Talukdar
AAAI 2020
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions [
Code]
Shikhar Vashishth*, Soumya Sanyal*, Vikram Nitin, Nilesh Agrawal, Partha Talukdar
AAAI 2020
P-SIF: Document Embeddings using Partition Averaging
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha Talukdar
AAAI 2020
Improving Document Classification with Multi-Sense Embeddings
Vivek Gupta, Ankit Kumar Saw, Pegah Nokhiz, Harshit Gupta, and Partha Talukdar
ECAI 2020
2019
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs [
Code]
Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha Talukdar
NeurIPS 2019, Canada
CaRe: Open Knowledge Graph Embeddings [
Code]
Swapnil Gupta, Sreyash Kenkre and Partha Talukdar
EMNLP 2019, Hong Kong
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings [
Code]
Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar
ACL 2019, Italy [
Recipient of Outstanding Paper Award]
Relating Simple Sentence Representations in Deep Neural Networks and Brain
Sharmistha Jat, Hao Tang, Partha Talukdar and Tom Mitchell
ACL 2019, Italy [
Press]
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks [
Code]
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar
ACL 2019, Italy
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation [
Code]
Ashutosh Kumar*, Satwik Bhattamishra*, Manik Bhandari and Partha Talukdar
NAACL 2019, USA.
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning [
Code]
Shikhar Vashishth*, Prateek Yadav*, Manik Bhandari*, Partha Talukdar
AISTATS 2019, Japan
Lovasz Convolutional Networks [
Code]
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar and Partha Talukdar
AISTATS 2019, Japan
KVQA: Knowledge-aware Visual Question Answering [
Project and Data Page]
Sanket Shah*, Anand Mishra*, Naganand Yadati and Partha Talukdar
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), USA
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
Sawan Kumar*, Varsha Sreenivasan*, Partha Talukdar, Franco Pestilli, Devarajan Sridharan
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), USA
(*: Equal contributions)
2018
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding [
Code]
Shib Sankar Dasgupta, Swayambhu Nath Ray and Partha Talukdar
International Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Belgium
AD3: Attentive Deep Document Dater [
Code]
Swayambhu Nath Ray, Shib Sankar Dasgupta and Partha Talukdar
International Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Belgium
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information [
Code]
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar
International Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Belgium
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
S Sanyal, J Balachandran, N Yadati, A Kumar, P Rajagopalan, S Sanyal, P Talukdar
NIPS 2018 Workshop on Machine Learning for Molecules and Materials, Canada.
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information [
Code]
Madhav Nimishakavi, Bamdev Mishra, Manish Gupta and Partha Talukdar
27th International Conference on Information and Knowledge Management (CIKM 2018), Italy.
[Acceptance rate: 17%]
Dating Documents using Graph Convolution Networks [
Code]
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 the Geometry of Knowledge Graph Embeddings [
Code]
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 [
Code]
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 [
Code]
Priya Radhakrishnan, Partha Talukdar and Vasudeva Varma
NAACL 2018, New Orleans, USA
Never-Ending Learning
Tom M. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling
Communications of the ACM, 61(5), pp. 103-115, May 2018.
Efficient and Distributed Generalized Canonical Correlations Analysis for Big Multiview Data
X. Fu , K. Huang, E.E. Papalexakis, H. Song, P. Talukdar, N. D. Sidiropoulos, C. Faloutsos, and T. Mitchell
IEEE Transactions on Knowledge and Data Engineering, Sep. 2018.
2017
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs
Ojha P, 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 [
Code]
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
Ojha P, 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
PLoS ONE 9(11): e112575. doi:10.1371/journal.pone.0112575
Press Coverage: CMU Press Release, Scientific American (blog), AP, TIME
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.
Invited to the Statistical Analysis and Data Mining (SAM) Special Issue of "Best of SDM 2014"
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.
Invited to the special issue of the VLDB Journal with the "Best Papers of VLDB 2013"
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.