MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction.
CoRR, 2024
Adapting Pre-trained Generative Models for Extractive Question Answering.
CoRR, 2023
A Two-step Approach for Handling Zero-Cardinality in Relation Extraction.
CoRR, 2023
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
tagE: Enabling an Embodied Agent to Understand Human Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Exploring Generative Models for Joint Attribute Value Extraction from Product Titles.
CoRR, 2022
FinRED: A Dataset for Relation Extraction in Financial Domain.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
A Generative Approach for Financial Causality Extraction.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Using Sentence-level Classification Helps Entity Extraction from Material Science Literature.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
RTE: A Tool for Annotating Relation Triplets from Text.
CoRR, 2021
Deep Neural Networks for Relation Extraction.
CoRR, 2021
Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey.
Cogn. Comput., 2021
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Aspect Sentiment Triplet Extraction Using Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Effective Attention Modeling for Neural Relation Extraction.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
CATaLog Online: Porting a Post-editing Tool to the Web.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research.
Proceedings of the COLING 2016, 2016