16 citations · 31 across the 8 of their papers we have counts for
8 papers · 1 filter
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.…
Controlling Hallucinations at Word Level in Data-to-Text Generation
Clément Rebuffel, Marco Roberti, Laure Soulier +3
Data-to-Text Generation (DTG) is a subfield of Natural Language Generation aiming at transcribing structured data in natural language descriptions. The field has been recently boos…
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…
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
Patrick Bordes, Eloi Zablocki, Laure Soulier +2
Language grounding is an active field aiming at enriching textual representations with visual information. Generally, textual and visual elements are embedded in the same represent…
A Hierarchical Model for Data-to-Text Generation
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten +1
Transcribing structured data into natural language descriptions has emerged as a challenging task, referred to as "data-to-text". These structures generally regroup multiple elemen…
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
Wafa Aissa, Laure Soulier, Ludovic Denoyer
Search-oriented conversational systems rely on information needs expressed in natural language (NL). We focus here on the understanding of NL expressions for building keyword-based…