4 citations · 10 across the 5 of their papers we have counts for
6 papers
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…
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
Gabriel Marzinotto, Johannes Heinecke, Geraldine Damnati
This paper describes our recursive system for SemEval-2019 \textit{ Task 1: Cross-lingual Semantic Parsing with UCCA}. Each recursive step consists of two parts. We first perform s…
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…
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…
Semantic Frame Parsing for Information Extraction : the CALOR corpus
Gabriel Marzinotto, Jeremy Auguste, Frederic Bechet +2
This paper presents a publicly available corpus of French encyclopedic history texts annotated according to the Berkeley FrameNet formalism. The main difference in our approach com…