Search Results for author: Montse Cuadros

Found 12 papers, 3 papers with code

HitzalMed: Anonymisation of Clinical Text in Spanish

no code implementations LREC 2020 Salvador Lima Lopez, Naiara Perez, Laura Garc{\'\i}a-Sardi{\~n}a, Montse Cuadros

HitzalMed is a web-framed tool that performs automatic detection of sensitive information in clinical texts using machine learning algorithms reported to be competitive for the task.

NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts

1 code implementation LREC 2020 Salvador Lima, Naiara Perez, Montse Cuadros, German Rigau

This paper introduces the first version of the NUBes corpus (Negation and Uncertainty annotations in Biomedical texts in Spanish).

Hate Speech Dataset from a White Supremacy Forum

2 code implementations WS 2018 Ona de Gibert, Naiara Perez, Aitor García-Pablos, Montse Cuadros

Hate speech is commonly defined as any communication that disparages a target group of people based on some characteristic such as race, colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristic.

Hate Speech Detection

Biomedical term normalization of EHRs with UMLS

no code implementations LREC 2018 Naiara Perez, Montse Cuadros, German Rigau

This paper presents a novel prototype for biomedical term normalization of electronic health record excerpts with the Unified Medical Language System (UMLS) Metathesaurus.

W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis

1 code implementation22 May 2017 Aitor García-Pablos, Montse Cuadros, German Rigau

With the increase of online customer opinions in specialised websites and social networks, the necessity of automatic systems to help to organise and classify customer reviews by domain-specific aspect/categories and sentiment polarity is more important than ever.

Aspect-Based Sentiment Analysis General Classification

A Comparison of Domain-based Word Polarity Estimation using different Word Embeddings

no code implementations LREC 2016 Aitor Garc{\'\i}a Pablos, Montse Cuadros, German Rigau

In basic Sentiment Analysis systems this sentiment polarity of the words is accounted and weighted in different ways to provide a degree of positivity/negativity.

Sentiment Analysis Word Embeddings

Highlighting relevant concepts from Topic Signatures

no code implementations LREC 2012 Montse Cuadros, Llu{\'\i}s Padr{\'o}, German Rigau

Basically, the method applies a knowledge-based Word Sense Disambiguation algorithm to assign the most appropriate WordNet sense to large sets of topically related words acquired from the web, named TSWEB.

Word Sense Disambiguation

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