activity
20122023
most citedContrasting Linguistic Patterns in Human and LLM-Generated News Text

71 citations · 410 across the 49 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.CL2019

Towards robust word embeddings for noisy texts

Yerai Doval, Jesús Vilares, Carlos Gómez-Rodríguez

Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and othe…

cs.CL2019

Towards Making a Dependency Parser See

Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez

We explore whether it is possible to leverage eye-tracking data in an RNN dependency parser (for English) when such information is only available during training, i.e., no aggregat…

cs.CL2019

Artificially Evolved Chunks for Morphosyntactic Analysis

Mark Anderson, David Vilares, Carlos Gómez-Rodríguez

We introduce a language-agnostic evolutionary technique for automatically extracting chunks from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks…

cs.CL2019★ 15 cited

Memory limitations are hidden in grammar

Carlos Gómez-Rodríguez, Morten H. Christiansen, Ramon Ferrer-i-Cancho

The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the essence of this generative cap…

cs.CL2019★ 24 cited

Anti dependency distance minimization in short sequences. A graph theoretic approach

Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez

Dependency distance minimization (DDm) is a word order principle favouring the placement of syntactically related words close to each other in sentences. Massive evidence of the pr…

cs.CL2019★ 17 cited

Sequence Labeling Parsing by Learning Across Representations

Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez

We use parsing as sequence labeling as a common framework to learn across constituency and dependency syntactic abstractions. To do so, we cast the problem as multitask learning (M…

cs.CL2019★ 6 cited

HEAD-QA: A Healthcare Dataset for Complex Reasoning

David Vilares, Carlos Gómez-Rodríguez

We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Span…

cs.CL2019

Harry Potter and the Action Prediction Challenge from Natural Language

David Vilares, Carlos Gómez-Rodríguez

We explore the challenge of action prediction from textual descriptions of scenes, a testbed to approximate whether text inference can be used to predict upcoming actions. As a cas…

cs.CL2019

Speeding Up Natural Language Parsing by Reusing Partial Results

Michalina Strzyz, Carlos Gómez-Rodríguez

This paper proposes a novel technique that applies case-based reasoning in order to generate templates for reusable parse tree fragments, based on PoS tags of bigrams and trigrams…

cs.CL2019★ 1 cited

Viable Dependency Parsing as Sequence Labeling

Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez

We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had b…

cs.CL2019

Left-to-Right Dependency Parsing with Pointer Networks

Daniel Fernández-González, Carlos Gómez-Rodríguez

We propose a novel transition-based algorithm that straightforwardly parses sentences from left to right by building attachments, with being the length of the input sentenc…