91 citations · 608 across the 41 of their papers we have counts for
29 papers · 1 filter
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa +9
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a prope…
A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods
Nayla Escribano, German Rigau, Rodrigo Agerri
Detecting and normalizing temporal expressions is an essential step for many NLP tasks. While a variety of methods have been proposed for detection, best normalization approaches r…
What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories
Oscar Sainz, Oier Lopez de Lacalle, Eneko Agirre +1
Language Models are the core for almost any Natural Language Processing system nowadays. One of their particularities is their contextualized representations, a game changer featur…
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
Iker García-Ferrero, Rodrigo Agerri, German Rigau
In the absence of readily available labeled data for a given sequence labeling task and language, annotation projection has been proposed as one of the possible strategies to autom…
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Iker García-Ferrero, Rodrigo Agerri, German Rigau
Zero-resource cross-lingual transfer approaches aim to apply supervised models from a source language to unlabelled target languages. In this paper we perform an in-depth study of…
Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver +1
Language resources are necessary for language processing,but building them is costly, involves many researches from different areas and needs constant updating. In this paper, we d…
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz, German Rigau
In this paper we present a system that exploits different pre-trained Language Models for assigning domain labels to WordNet synsets without any kind of supervision. Furthermore, t…
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
Elena Zotova, Rodrigo Agerri, German Rigau
Popular social media networks provide the perfect environment to study the opinions and attitudes expressed by users. While interactions in social media such as Twitter occur in ma…
NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts
Salvador Lima, Naiara Perez, Montse Cuadros +1
This paper introduces the first version of the NUBes corpus (Negation and Uncertainty annotations in Biomedical texts in Spanish). The corpus is part of an on-going research and cu…
Multilingual Stance Detection: The Catalonia Independence Corpus
Elena Zotova, Rodrigo Agerri, Manuel Nuñez +1
Stance detection aims to determine the attitude of a given text with respect to a specific topic or claim. While stance detection has been fairly well researched in the last years,…
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
Iker García-Ferrero, Rodrigo Agerri, German Rigau
This paper presents a new technique for creating monolingual and cross-lingual meta-embeddings. Our method integrates multiple word embeddings created from complementary techniques…
Language Independent Sequence Labelling for Opinion Target Extraction
Rodrigo Agerri, German Rigau
In this research note we present a language independent system to model Opinion Target Extraction (OTE) as a sequence labelling task. The system consists of a combination of cluste…
Validating WordNet Meronymy Relations using Adimen-SUMO
Javier Álvez, Itziar Gonzalez-Dios, German Rigau
In this paper, we report on the practical application of a novel approach for validating the knowledge of WordNet using Adimen-SUMO. In particular, this paper focuses on cross-chec…
Biomedical term normalization of EHRs with UMLS
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. Despite…
W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis
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 d…
Q-WordNet PPV: Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages
Iñaki San Vicente, Rodrigo Agerri, German Rigau
This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity le…
Multilingual and Cross-lingual Timeline Extraction
Egoitz Laparra, Rodrigo Agerri, Itziar Aldabe +1
In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and cross-lingual data sources. Base…
Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features
Rodrigo Agerri, German Rigau
We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines shallow local informati…
Interpretable Semantic Textual Similarity: Finding and explaining differences between sentences
I. Lopez-Gazpio, M. Maritxalar, A. Gonzalez-Agirre +3
User acceptance of artificial intelligence agents might depend on their ability to explain their reasoning, which requires adding an interpretability layer that fa- cilitates users…
Combining Knowledge- and Corpus-based Word-Sense-Disambiguation Methods
A. Montoyo, M. Palomar, G. Rigau +1
In this paper we concentrate on the resolution of the lexical ambiguity that arises when a given word has several different meanings. This specific task is commonly referred to as…
Integrating Multiple Knowledge Sources for Robust Semantic Parsing
Jordi Atserias, Lluis Padro, German Rigau
This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the i…
A Complete WordNet1.5 to WordNet1.6 Mapping
J. Daudé, L. Padró, G. Rigau
We describe a robust approach for linking already existing lexical/semantic hierarchies. We use a constraint satisfaction algorithm (relaxation labelling) to select --among a set o…
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes a set of comparative experiments, including cross-corpus evaluation, between five alternative algorithms for supervised Word Sense Disambiguation (WSD), namely…
Mapping WordNets Using Structural Information
J. Daude, L. Padro, G. Rigau
We present a robust approach for linking already existing lexical/semantic hierarchies. We used a constraint satisfaction algorithm (relaxation labeling) to select --among a set of…