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David Vilares

Universidade da Coruña

31 papers hereh-index 211.7k citations70 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author13
  • middle author10
  • last author8

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CL31
affiliations
  • Universidade da Coruña
Homepage
same name
  • David Vilares — 12 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedContrasting Linguistic Patterns in Human and LLM-Generated News Text

71 citations · 188 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023★ 71 cited

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…

cs.CL2023

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.