2 citations · 2 across the 2 of their papers we have counts for
4 papers
Direct parsing to sentiment graphs
David Samuel, Jeremy Barnes, Robin Kurtz +3
This paper demonstrates how a graph-based semantic parser can be applied to the task of structured sentiment analysis, directly predicting sentiment graphs from text. We advance th…
RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
Milan Straka, Jakub Náplava, Jana Straková +1
We present RobeCzech, a monolingual RoBERTa language representation model trained on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach. We show tha…
ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN
David Samuel, Milan Straka
We present PERIN, a novel permutation-invariant approach to sentence-to-graph semantic parsing. PERIN is a versatile, cross-framework and language independent architecture for univ…
Meta-learning Extractors for Music Source Separation
David Samuel, Aditya Ganeshan, Jason Naradowsky
We propose a hierarchical meta-learning-inspired model for music source separation (Meta-TasNet) in which a generator model is used to predict the weights of individual extractor m…