71 citations · 188 across the 18 of their papers we have counts for
31 papers
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…
Contrasting Linguistic Patterns in Human and LLM-Generated News Text
Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, David Vilares
We conduct a quantitative analysis contrasting human-written English news text with comparable large language model (LLM) output from six different LLMs that cover three different…
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…
Parsing linearizations appreciate PoS tags - but some are fussy about errors
Alberto Muñoz-Ortiz, Mark Anderson, David Vilares +1
PoS tags, once taken for granted as a useful resource for syntactic parsing, have become more situational with the popularization of deep learning. Recent work on the impact of PoS…
The Fragility of Multi-Treebank Parsing Evaluation
Iago Alonso-Alonso, David Vilares, Carlos Gómez-Rodríguez
Treebank selection for parsing evaluation and the spurious effects that might arise from a biased choice have not been explored in detail. This paper studies how evaluating on a si…