Amir Pouran Ben Veyseh
Orcid: 0000-0002-6826-8113
According to our database1,
Amir Pouran Ben Veyseh
authored at least 45 papers
between 2016 and 2024.
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Bibliography
2024
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey.
ACM Comput. Surv., February, 2024
2023
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering.
CoRR, 2022
CoRR, 2022
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022
2021
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021
2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, 2016