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A Generative Approach for Financial Causality Extraction



Tapas Nayak , Soumya Sharma , Yash Butala , Koustuv Dasgupta , Pawan Goyal , Niloy Ganguly

* Accepted at FinWeb 2022 workshop of WWW 2022 

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PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction



Rajdeep Mukherjee , Tapas Nayak , Yash Butala , Sourangshu Bhattacharya , Pawan Goyal

* Accepted as a Long Paper at EMNLP 2021 (Main Conference); 13 pages; Codes: https://github.com/rajdeep345/PASTE 

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Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering



Tapas Nayak , Navonil Majumder , Soujanya Poria

* Accepted in RANLP 2021. arXiv admin note: substantial text overlap with arXiv:2104.01799, arXiv:2103.16929 

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A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents



Tapas Nayak , Hwee Tou Ng

* Accepted in RANLP 2021 

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RTE: A Tool for Annotating Relation Triplets from Text



Ankan Mullick , Animesh Bera , Tapas Nayak


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Aspect Sentiment Triplet Extraction Using Reinforcement Learning



Samson Yu Bai Jian , Tapas Nayak , Navonil Majumder , Soujanya Poria

* CIKM 2021 

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Deep Neural Networks for Relation Extraction



Tapas Nayak

* PhD Thesis, National University of Singapore (2020) 

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Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey



Tapas Nayak , Navonil Majumder , Pawan Goyal , Soujanya Poria

* A survey paper for relation extraction 

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Effective Attention Modeling for Neural Relation Extraction



Tapas Nayak , Hwee Tou Ng

* Accepted at CoNLL 2019 

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Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction



Tapas Nayak , Hwee Tou Ng

* Accepted at AAAI 2020 

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