output
20022025
most citedBubble Diagnosis and Prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles

224 citations

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

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cs.CL2021

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten +1

State-of-the-art NLP models can adopt shallow heuristics that limit their generalization capability (McCoy et al., 2019). Such heuristics include lexical overlap with the training…

cs.CL2021

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Clément Rebuffel, Thomas Scialom, Laure Soulier +5

QuestEval is a reference-less metric used in text-to-text tasks, that compares the generated summaries directly to the source text, by automatically asking and answering questions.…

cs.CL2020

PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation

Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten +1

In language generation models conditioned by structured data, the classical training via maximum likelihood almost always leads models to pick up on dataset divergence (i.e., hallu…