Partha Talukdar
56 papers · 2012–2025 · 15 venues · across top CS/AI venues
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Achievements
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(12)
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(4)
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(9)
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Venues
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Research topics
Machine Learning
(29)
Natural Language Processing
(26)
Deep Learning
(17)
Learning Types Β· Machine Learning
(16)
Artificial Intelligence
(15)
Resources & Methods
(14)
Applications
(13)
Core AI
(12)
Core Methods
(12)
Architectures
(10)
Knowledge & Reasoning
(9)
Representation
(9)
Optimization & Theory
(8)
Learning Types Β· Deep Learning
(7)
Application Areas
(6)
Keywords
knowledge graph embedding
(8)
link prediction
(6)
low-resource language
(5)
graph convolutional network
(5)
node classification
(5)
question answering
(5)
semi-supervised learning
(4)
cross-lingual transfer
(4)
large language model
(4)
temporal knowledge graph
(3)
graph neural network
(3)
knowledge graph
(3)
few-shot learning
(3)
multilingual model
(3)
machine translation
(3)
multilingual language model
(3)
text classification
(2)
zero-shot learning
(2)
transfer learning
(2)
multi-hop reasoning
(2)
Papers
SMOL: Professionally Translated Parallel Data for 115 Under-represented Languages
EMNLP 2025
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages
ACL 2024
LLM Augmented LLMs: Expanding Capabilities through Composition
ICLR 2024
UGIF-DataSet: A New Dataset for Cross-lingual, Cross-modal Sequential actions on the UI
NAACL 2024
Bootstrapping Multilingual Semantic Parsers using Large Language Models
EACL 2023
Evaluating Cross Lingual Transfer for Morphological Analysis: a Case Study of Indian Languages
ACL 2023
Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages
EACL 2023
Label Aware Speech Representation Learning For Language Identification
Interspeech 2023
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning
ACL 2023
Salient Span Masking for Temporal Understanding
EACL 2023
Self-Influence Guided Data Reweighting for Language Model Pre-training
EMNLP 2023
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
EACL 2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
EMNLP 2023
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
ACL 2022
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages
ACL 2022
Re-contextualizing Fairness in NLP: The Case of India
AACL 2022
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
NAACL 2022
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
ACL 2021
MergeDistill: Merging Language Models using Pre-trained Distillation
ACL 2021
Question Answering Over Temporal Knowledge Graphs
ACL 2021
Reordering Examples Helps during Priming-based Few-Shot Learning
ACL 2021
A Re-evaluation of Knowledge Graph Completion Methods
ACL 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
AAAI 2020
Composition-based Multi-Relational Graph Convolutional Networks
ICLR 2020
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
ACL 2020
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions
AAAI 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations
ACL 2020
P-SIF: Document Embeddings Using Partition Averaging
AAAI 2020
CaRe: Open Knowledge Graph Embeddings
EMNLP 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
AISTATS 2019
Graph-based Deep Learning in Natural Language Processing
EMNLP 2019
Graph-based Deep Learning in Natural Language Processing
IJCNLP 2019
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs
NeurIPS 2019
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
ACL 2019
Lovasz Convolutional Networks
AISTATS 2019
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
AAAI 2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain
ACL 2019
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation
NAACL 2019
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
ACL 2019
AD3: Attentive Deep Document Dater
EMNLP 2018
Dating Documents using Graph Convolution Networks
ACL 2018
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs
NAACL 2018
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation
ACL 2018
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
EMNLP 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
EMNLP 2018
Towards Understanding the Geometry of Knowledge Graph Embeddings
ACL 2018
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs
EMNLP 2017
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
EMNLP 2017
Relation Schema Induction using Tensor Factorization with Side Information
EMNLP 2016
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand
IJCAI 2015
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
EMNLP 2014
Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch
AISTATS 2014
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
CoNLL 2013
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding
COLING 2012
Metric Learning for Graph-Based Domain Adaptation
COLING 2012
Selecting Corpus-Semantic Models for Neurolinguistic Decoding
SemEval 2012