Minlong Peng

According to our database1, Minlong Peng authored at least 39 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
One2Set + Large Language Model: Best Partners for Keyphrase Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fooling the Textual Fooler via Randomizing Latent Representations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Fooling the Textual Fooler via Randomizing Latent Representations.
CoRR, 2023

Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs.
CoRR, 2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.
CoRR, 2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Actively Supervised Clustering for Open Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Connectivity Patterns are Task Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

NormNet: Normalize Noun Phrases for More Robust NLP.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Label-Smoothed Backdoor Attack.
CoRR, 2022

Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Simplify the Usage of Lexicon in Chinese NER.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis.
CoRR, 2019

Simplify the Usage of Lexicon in Chinese NER.
CoRR, 2019

Address Instance-level Label Prediction in Multiple Instance Learning.
CoRR, 2019

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network.
Sci. China Inf. Sci., 2019

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Model the Long-Term Post History for Hashtag Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Lexicon-Based Graph Neural Network for Chinese NER.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling the Long-Term Post History for Personalized Hashtag Recommendation.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Depression Detection on Social Media with Reinforcement Learning.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Mining User Profiles from Query Log.
Proceedings of the Information Retrieval - 25th China Conference, 2019

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Trainable Undersampling for Class-Imbalance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Long Short-Term Memory with Dynamic Skip Connections.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cooperative Multimodal Approach to Depression Detection in Twitter.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Cross-Domain Sentiment Classification with Target Domain Specific Information.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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