16 citations · 31 across the 8 of their papers we have counts for
17 papers
Interactive Query Clarification and Refinement via User Simulation
Pierre Erbacher, Ludovic Denoyer, Laure Soulier
When users initiate search sessions, their queries are often unclear or might lack of context; this resulting in inefficient document ranking. Multiple approaches have been propose…
State of the Art of User Simulation approaches for conversational information retrieval
Pierre Erbacher, Laure Soulier, Ludovic Denoyer
Conversational Information Retrieval (CIR) is an emerging field of Information Retrieval (IR) at the intersection of interactive IR and dialogue systems for open domain information…
Continual Learning of Long Topic Sequences in Neural Information Retrieval
Thomas Gerald, Laure Soulier
In information retrieval (IR) systems, trends and users' interests may change over time, altering either the distribution of requests or contents to be recommended. Since neural ra…
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…
Studying Catastrophic Forgetting in Neural Ranking Models
Jesus Lovon-Melgarejo, Laure Soulier, Karen Pinel-Sauvagnat +1
Several deep neural ranking models have been proposed in the recent IR literature. While their transferability to one target domain held by a dataset has been widely addressed usin…