4 code implementations • COLING 2020 • Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré
CRF models the conditional probability of the target DA label sequence given the input utterance sequence.
1 code implementation • 16 Aug 2019 • Jean-Baptiste Remy, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis
The Hierarchical Attention Network (HAN) has made great strides, but it suffers a major limitation: at level 1, each sentence is encoded in complete isolation.
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.
4 code implementations • ACL 2018 • Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Jean-Pierre Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré
We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
Ranked #1 on Meeting Summarization on ICSI Meeting Corpus
Abstractive Dialogue Summarization Abstractive Text Summarization +6
1 code implementation • 29 Oct 2017 • Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
Graph kernels have been successfully applied to many graph classification problems.
no code implementations • ICLR 2018 • Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
Graph learning is currently dominated by graph kernels, which, while powerful, suffer some significant limitations.
Ranked #3 on Graph Classification on RE-M12K