2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Dependency Parsing with Backtracking using Deep Reinforcement Learning
Franck Dary, Maxime Petit, Alexis Nasr
Greedy algorithms for NLP such as transition based parsing are prone to error propagation. One way to overcome this problem is to allow the algorithm to backtrack and explore an al…
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…
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…