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2020 – today
- 2024
[i17]Ankan Mullick, Akash Ghosh, G. Sai Chaitanya, Samir Ghui, Tapas Nayak, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction. CoRR abs/2401.09839 (2024)- 2023
- [c14]Chayan Sarkar, Avik Mitra, Pradip Pramanick, Tapas Nayak:
tagE: Enabling an Embodied Agent to Understand Human Instructions. EMNLP (Findings) 2023: 8846-8857 - [c13]Pratik Saini, Tapas Nayak, Indrajit Bhattacharya:
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? IJCNLP (2) 2023: 43-51 - [i16]Pratik Saini, Tapas Nayak, Samiran Pal, Indrajit Bhattacharya:
A Two-step Approach for Handling Zero-Cardinality in Relation Extraction. CoRR abs/2302.09887 (2023) - [i15]Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal:
FinRED: A Dataset for Relation Extraction in Financial Domain. CoRR abs/2306.03736 (2023) - [i14]Pratik Saini, Tapas Nayak, Indrajit Bhattacharya:
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? CoRR abs/2310.00696 (2023) - [i13]Chayan Sarkar, Avik Mitra, Pradip Pramanick, Tapas Nayak:
tagE: Enabling an Embodied Agent to Understand Human Instructions. CoRR abs/2310.15605 (2023) - [i12]Prabir Mallick, Tapas Nayak, Indrajit Bhattacharya:
Adapting Pre-trained Generative Models for Extractive Question Answering. CoRR abs/2311.02961 (2023) - 2022
- [c12]Arpita Kundu, Subhasish Ghosh, Pratik Saini, Tapas Nayak, Indrajit Bhattacharya:
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions. COLING 2022: 4537-4543 - [c11]Ankan Mullick, Shubhraneel Pal, Tapas Nayak, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
Using Sentence-level Classification Helps Entity Extraction from Material Science Literature. LREC 2022: 4540-4545 - [c10]Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
A Generative Approach for Financial Causality Extraction. WWW (Companion Volume) 2022: 576-578 - [c9]Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal:
FinRED: A Dataset for Relation Extraction in Financial Domain. WWW (Companion Volume) 2022: 595-597 - [i11]Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
A Generative Approach for Financial Causality Extraction. CoRR abs/2204.05674 (2022) - [i10]Kalyani Roy, Tapas Nayak, Pawan Goyal:
Exploring Generative Models for Joint Attribute Value Extraction from Product Titles. CoRR abs/2208.07130 (2022) - 2021
- [j1]Tapas Nayak
, Navonil Majumder, Pawan Goyal, Soujanya Poria:
Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey. Cogn. Comput. 13(5): 1215-1232 (2021) - [c8]Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. CIKM 2021: 3603-3607 - [c7]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP (1) 2021: 9279-9291 - [c6]Tapas Nayak, Hwee Tou Ng:
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents. RANLP 2021: 1022-1030 - [c5]Tapas Nayak, Navonil Majumder, Soujanya Poria:
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering. RANLP 2021: 1031-1039 - [i9]Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria:
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey. CoRR abs/2103.16929 (2021) - [i8]Tapas Nayak:
Deep Neural Networks for Relation Extraction. CoRR abs/2104.01799 (2021) - [i7]Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. CoRR abs/2108.06107 (2021) - [i6]Ankan Mullick, Animesh Bera, Tapas Nayak:
RTE: A Tool for Annotating Relation Triplets from Text. CoRR abs/2108.08184 (2021) - [i5]Tapas Nayak, Hwee Tou Ng:
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents. CoRR abs/2108.09505 (2021) - [i4]Tapas Nayak, Navonil Majumder, Soujanya Poria:
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering. CoRR abs/2108.09689 (2021) - [i3]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. CoRR abs/2110.04794 (2021) - 2020
- [c4]Tapas Nayak, Hwee Tou Ng:
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction. AAAI 2020: 8528-8535
2010 – 2019
- 2019
- [c3]Tapas Nayak, Hwee Tou Ng:
Effective Attention Modeling for Neural Relation Extraction. CoNLL 2019: 603-612 - [i2]Tapas Nayak, Hwee Tou Ng:
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction. CoRR abs/1911.09886 (2019) - [i1]Tapas Nayak, Hwee Tou Ng:
Effective Attention Modeling for Neural Relation Extraction. CoRR abs/1912.03832 (2019) - 2016
- [c2]Santanu Pal, Sudip Kumar Naskar, Marcos Zampieri, Tapas Nayak, Josef van Genabith:
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research. COLING (Demos) 2016: 98-102 - [c1]Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Tapas Nayak, Mihaela Vela, Josef van Genabith:
CATaLog Online: Porting a Post-editing Tool to the Web. LREC 2016
Coauthor Index
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last updated on 2024-04-24 22:54 CEST by the dblp team
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