Guokan Shang

NLP

After joining LINAGORA in December 2016 as a research engineer, Guokan Shang obtained his PhD in 2021 through a CIFRE Ph.D. project in collaboration with the École Polytechnique in Paris. His research interests span all aspects of Machine Learning and its applications to natural language processing/spoken language understanding. His work has focused on challenging tasks such as abstractive meeting summarization, dialogue act classification, and utterance modeling and clustering.

Projects

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Publications

2020

Speaker-change Aware CRF for Dialogue Act Classification

The 28th International Conference on Computational Linguistics (COLING)

#Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, #Jean-Pierre Lorré

#Language, #LinTO

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Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP)

#Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, #Jean-Pierre Lorré

#Language, #LinTO

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2018

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

The 56th Annual Meeting of the Association for Computational Linguistics (ACL)

#Guokan Shang, Wensi Ding, Zekun Zhang, Antoine J.-P. Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, #Jean-Pierre Lorré

#LinTO, #Language

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