17 citations · 46 across the 16 of their papers we have counts for
6 papers · 1 filter
Neural Networks for Cross-lingual Negation Scope Detection
Federico Fancellu, Adam Lopez, Bonnie Webber
Negation scope has been annotated in several English and Chinese corpora, and highly accurate models for this task in these languages have been learned from these annotations. Unfo…
The problem with probabilistic DAG automata for semantic graphs
Ieva Vasiljeva, Sorcha Gilroy, Adam Lopez
Semantic representations in the form of directed acyclic graphs (DAGs) have been introduced in recent years, and to model them, we need probabilistic models of DAGs. One model that…
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
Sameer Bansal, Herman Kamper, Karen Livescu +2
We present a simple approach to improve direct speech-to-text translation (ST) when the source language is low-resource: we pre-train the model on a high-resource automatic speech…
Indicatements that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva, Adam Lopez
Character language models have access to surface morphological patterns, but it is not clear whether or how they learn abstract morphological regularities. We instrument a characte…
What do character-level models learn about morphology? The case of dependency parsing
Clara Vania, Andreas Grivas, Adam Lopez
When parsing morphologically-rich languages with neural models, it is beneficial to model input at the character level, and it has been claimed that this is because character-level…
Low-Resource Speech-to-Text Translation
Sameer Bansal, Herman Kamper, Karen Livescu +2
Speech-to-text translation has many potential applications for low-resource languages, but the typical approach of cascading speech recognition with machine translation is often im…