Partha P. Talukdar

Affiliations:
  • Indian Institute of Science, Bangalore


According to our database1, Partha P. Talukdar authored at least 118 papers between 2004 and 2022.

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Bibliography

2022
Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages.
CoRR, 2022

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
MergeDistill: Merging Pre-trained Language Models using Distillation.
CoRR, 2021

MuRIL: Multilingual Representations for Indian Languages.
CoRR, 2021

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Multilingual Fact Linking.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Question Answering Over Temporal Knowledge Graphs.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Reordering Examples Helps during Priming-based Few-Shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

MergeDistill: Merging Language Models using Pre-trained Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Syntax-Guided Controlled Generation of Paraphrases.
Trans. Assoc. Comput. Linguistics, 2020

Inducing Interpretability in Knowledge Graph Embeddings.
Proceedings of the 17th International Conference on Natural Language Processing, 2020

Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings.
Proceedings of the 17th International Conference on Natural Language Processing, 2020

Composition-based Multi-Relational Graph Convolutional Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Document Classification with Multi-Sense Embeddings.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Graph-based Deep Learning in Natural Language Processing.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

NHP: Neural Hypergraph Link Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Re-evaluation of Knowledge Graph Completion Methods.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

NILE : Natural Language Inference with Faithful Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

P-SIF: Document Embeddings Using Partition Averaging.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng., 2019

HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

CaRe: Open Knowledge Graph Embeddings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Lovasz Convolutional Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Confidence-based Graph Convolutional Networks for Semi-Supervised Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Relating Simple Sentence Representations in Deep Neural Networks and the Brain.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

KVQA: Knowledge-Aware Visual Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction.
CoRR, 2018

Graph Convolutional Networks based Word Embeddings.
CoRR, 2018

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification.
CoRR, 2018

Lovasz Convolutional Networks.
CoRR, 2018

Never-ending learning.
Commun. ACM, 2018

CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

ELDEN: Improved Entity Linking Using Densified Knowledge Graphs.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

AD3: Attentive Deep Document Dater.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Dating Documents using Graph Convolution Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Towards Understanding the Geometry of Knowledge Graph Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs.
CoRR, 2017

CANDiS: Coupled & Attention-Driven Neural Distant Supervision.
CoRR, 2017

Event Schema Induction using Tensor Factorization with Back-off.
CoRR, 2017

FACETS: Adaptive Local Exploration of Large Graphs.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.
Stat. Anal. Data Min., 2016

Relational Crowdsourcing and its Application in Knowledge Graph Evaluation.
CoRR, 2016

Discovering Response-Eliciting Factors in Social Question Answering : A Reddit Inspired Study.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Relation Schema Induction using Tensor Factorization with Side Information.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Active learning in keyword search-based data integration.
VLDB J., 2015

Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs.
CoRR, 2015

Want Answers? A Reddit Inspired Study on How to Pose Questions.
CoRR, 2015

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Principled Neuro-Functional Connectivity Discovery.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Compositional and Interpretable Semantic Space.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Knowledge Base Inference using Bridging Entities.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Translation Invariant Word Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Entity-centric Approach for Overcoming Knowledge Graph Sparsity.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text.
Proceedings of the 2015 AAAI Spring Symposia, 2015


2014
Graph-Based Semi-Supervised Learning
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2014

Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments.
Big Data, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration.
Proc. VLDB Endow., 2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization
CoRR, 2013

CMUML System for KBP 2013 Slot Filling.
Proceedings of the Sixth Text Analysis Conference, 2013

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

PIDGIN: ontology alignment using web text as interlingua.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

AKBC 2013: third workshop on automated knowledge base construction.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Associating structured records to text documents.
Proceedings of the 21st World Wide Web Conference, 2012

Coupled temporal scoping of relational facts.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Selecting Corpus-Semantic Models for Neurolinguistic Decoding.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding.
Proceedings of the COLING 2012, 2012

Metric Learning for Graph-Based Domain Adaptation.
Proceedings of the COLING 2012, 2012

Acquiring temporal constraints between relations.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

Graph-based Semi-Supervised Learning Algorithms for NLP.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012

2011
SCAD: collective discovery of attribute values.
Proceedings of the 20th International Conference on World Wide Web, 2011

Improving Product Classification Using Images.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Automatically incorporating new sources in keyword search-based data integration.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition.
Proceedings of the ACL 2010, 2010

Learning Better Data Representation Using Inference-Driven Metric Learning.
Proceedings of the ACL 2010, 2010

2009
New Regularized Algorithms for Transductive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Interactive Data Integration through Smart Copy & Paste.
Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009

2008
The ORCHESTRA Collaborative Data Sharing System.
SIGMOD Rec., 2008

Learning to create data-integrating queries.
Proc. VLDB Endow., 2008

Regularized Learning with Networks of Features.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A rate-distortion one-class model and its applications to clustering.
Proceedings of the Machine Learning, 2008

Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
Frustratingly Hard Domain Adaptation for Dependency Parsing.
Proceedings of the EMNLP-CoNLL 2007, 2007

Automatic Code Assignment to Medical Text.
Proceedings of the Biological, translational, and clinical language processing, 2007

2006
A Context Pattern Induction Method for Named Entity Extraction.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2004
Tools for the development of a Hindi speech synthesis system.
Proceedings of the Fifth ISCA ITRW on Speech Synthesis, 2004

Automatic Generation of Compound Word Lexicon for Hindi Speech Synthesis.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Duration modeling for hindi text-to-speech synthesis system.
Proceedings of the INTERSPEECH 2004, 2004


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