Author of the publication

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.

, , , , , , , , , and . AAAI, page 14665-14673. AAAI Press, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive., , , , , , and . AAAI, page 4783-4791. AAAI Press, (2023)Legal Artificial Intelligence - Have You Lost a Piece from Jigsaw Puzzle?, , , and . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), volume 2600 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases., , , , and . IJCNLP (Shared Tasks), page 100-104. Asian Federation of Natural Language Processing, (2017)ML-LJP: Multi-Law Aware Legal Judgment Prediction., , , , , , and . SIGIR, page 1023-1034. ACM, (2023)Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning., , , , , , , and . EMNLP/IJCNLP (1), page 5580-5589. Association for Computational Linguistics, (2019)Aspect Sentiment Classification with Document-level Sentiment Preference Modeling., , , , , , and . ACL, page 3667-3677. Association for Computational Linguistics, (2020)RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy., , , , , and . ACL/IJCNLP (1), page 6042-6051. Association for Computational Linguistics, (2021)Cross Copy Network for Dialogue Generation., , , , , , and . EMNLP (1), page 1900-1910. Association for Computational Linguistics, (2020)Study on Wikipedia for translation mining for CLIR., , , , and . ICMLC, page 3374-3379. IEEE, (2010)Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge., , , , , , , and . NAACL-HLT (Findings), page 2782-2792. Association for Computational Linguistics, (2024)