output
20152025
most citedSupporting interoperability of collaborative networks through engineering of a service-based Mediation Information System (MISE 2.0)

50 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2025

KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?

Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha +2

Chain-of-thought (CoT) traces have been shown to improve performance of large language models on a plethora of reasoning tasks, yet there is no consensus on the mechanism by which…

cs.CL2024

Leveraging Discourse Structure for Extractive Meeting Summarization

Virgile Rennard, Guokan Shang, Michalis Vazirgiannis +1

We introduce an extractive summarization system for meetings that leverages discourse structure to better identify salient information from complex multi-party discussions. Using d…

cs.CL2023★ 9 cited

The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis +1

This study investigates the consequences of training language models on synthetic data generated by their predecessors, an increasingly prevalent practice given the prominence of p…

cs.CL2020★ 2 cited

Speaker-change Aware CRF for Dialogue Act Classification

Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis +1

Recent work in Dialogue Act (DA) classification approaches the task as a sequence labeling problem, using neural network models coupled with a Conditional Random Field (CRF) as the…

cs.CL2019★ 6 cited

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

Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis +1

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 sum…

cs.CL2018★ 16 cited

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

Guokan Shang, Wensi Ding, Zekun Zhang +4

We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations. Our work combines the stren…