4 citations · 14 across the 8 of their papers we have counts for
9 papers
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Sebastien Montella, Alexis Nasr, Johannes Heinecke +2
Text generation from Abstract Meaning Representation (AMR) has substantially benefited from the popularized Pretrained Language Models (PLMs). Myriad approaches have linearized the…
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning
Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet
This paper presents a new semantic frame parsing model, based on Berkeley FrameNet, adapted to process spoken documents in order to perform information extraction from broadcast co…
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet +1
This paper addresses the issue of generalization for Semantic Parsing in an adversarial framework. Building models that are more robust to inter-document variability is crucial for…
Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005)
Marc El-Bèze, Juan-Manuel Torres-Moreno, Frédéric Béchet
We present a set of probabilistic models applied to binary classification as defined in the DEFT'05 challenge. The challenge consisted a mixture of two differents problems in Natur…
Sources of Complexity in Semantic Frame Parsing for Information Extraction
Gabriel Marzinotto, Frédéric Béchet, Géraldine Damnati +1
This paper describes a Semantic Frame parsing System based on sequence labeling methods, precisely BiLSTM models with highway connections, for performing information extraction on…
FrameNet automatic analysis : a study on a French corpus of encyclopedic texts
Gabriel Marzinotto, Géraldine Damnati, Frederic Bechet
This article presents an automatic frame analysis system evaluated on a corpus of French encyclopedic history texts annotated according to the FrameNet formalism. The chosen approa…