Search Results for author: Guokan Shang

Found 8 papers, 5 papers with code

DATScore: Evaluating Translation with Data Augmented Translations

no code implementations12 Oct 2022 Moussa Kamal Eddine, Guokan Shang, Michalis Vazirgiannis

The rapid development of large pretrained language models has revolutionized not only the field of Natural Language Generation (NLG) but also its evaluation.

Data Augmentation Language Modelling +4

Abstractive Meeting Summarization: A Survey

1 code implementation8 Aug 2022 Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis

Recent advances in deep learning, and especially the invention of encoder-decoder architectures, has significantly improved the performance of abstractive summarization systems.

Abstractive Text Summarization Meeting Summarization

NLP Research and Resources at DaSciM, Ecole Polytechnique

no code implementations1 Dec 2021 Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis

DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning.

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

1 code implementation Asian Chapter of the Association for Computational Linguistics 2020 Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré

Abstractive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive sentence.

Community Detection Spoken Language Understanding

Cannot find the paper you are looking for? You can Submit a new open access paper.