6 papers · 1 filter
Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA
Carlos Gómez-Rodríguez, Muhammad Imran, David Vilares +2
Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be acc…
From Partial to Strictly Incremental Constituent Parsing
Ana Ezquerro, Carlos Gómez-Rodríguez, David Vilares
We study incremental constituent parsers to assess their capacity to output trees based on prefix representations alone. Guided by strictly left-to-right generative language models…
4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees
Carlos Gómez-Rodríguez, Diego Roca, David Vilares
We introduce an encoding for parsing as sequence labeling that can represent any projective dependency tree as a sequence of 4-bit labels, one per word. The bits in each word's lab…
On the Challenges of Fully Incremental Neural Dependency Parsing
Ana Ezquerro, Carlos Gómez-Rodríguez, David Vilares
Since the popularization of BiLSTMs and Transformer-based bidirectional encoders, state-of-the-art syntactic parsers have lacked incrementality, requiring access to the whole sente…
Assessment of Pre-Trained Models Across Languages and Grammars
Alberto Muñoz-Ortiz, David Vilares, Carlos Gómez-Rodríguez
We present an approach for assessing how multilingual large language models (LLMs) learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent and…
Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
Alberto Muñoz-Ortiz, David Vilares
The usefulness of part-of-speech tags for parsing has been heavily questioned due to the success of word-contextualized parsers. Yet, most studies are limited to coarse-grained tag…