36 citations · 44 across the 11 of their papers we have counts for
4 papers · 1 filter
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?
Francesco Cazzaro, Ariadna Quattoni, Xavier Carreras
Recent advances in deep learning models for sequence classification have greatly improved their classification accuracy, specially when large training sets are available. However,…
Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment
César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro +1
Annotating large collections of textual data can be time consuming and expensive. That is why the ability to train models with limited annotation budgets is of great importance. In…
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing
Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni +1
Prior work in semantic parsing has shown that conventional seq2seq models fail at compositional generalization tasks. This limitation led to a resurgence of methods that model alig…
Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers
Davide Locatelli, Ariadna Quattoni
Prior to deep learning the semantic parsing community has been interested in understanding and modeling the range of possible word alignments between natural language sentences and…