Search Results for author:
Found 68 papers, 15 papers with code
Overview of the ELE Project
This paper provides an overview of the ongoing European Language Equality(ELE) project, an 18-month action funded by the European Commission which involves 52 partners.
Benchmarking Meta-embeddings: What Works and What Does Not
In the last few years, several methods have been proposed to build meta-embeddings.
The Predicate Matrix and the Event and Implied Situation Ontology: Making More of Events
This paper presents the Event and Implied Situation Ontology (ESO), a resource which formalizes the pre and post situations of events and the roles of the entities affected by an event.
Ask2Transformers: Zero-Shot Domain labelling with Pretrained Language Models
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.
Measuring HLT Research Equality of European Languages
Our ultimate goal is to investigate European language equality in HLT research considering the number of papers published on several HLT research venues that mention each language with respect to their estimated number of speakers.
ClinIDMap: Towards a Clinical IDs Mapping for Data Interoperability
For instance, spans manually annotated with IDs from UMLS can be annotated with Semantic Types and Groups, and its corresponding SNOMED CT and ICD-10 IDs.
Towards Cross-checking WordNet and SUMO Using Meronymy
We describe the practical application of a black-box testing methodology for the validation of the knowledge encoded in WordNet, SUMO and their mapping by using automated theorem provers.
Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
While these LLMs display competitive performance on automated medical texts benchmarks, they have been pre-trained and evaluated with a focus on a single language (English mostly).
Latxa: An Open Language Model and Evaluation Suite for Basque
We introduce Latxa, a family of large language models for Basque ranging from 7 to 70 billion parameters.
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
We have used our dataset with the largest available open LLMs in a zero-shot approach to grasp their generalization and inference capability and we have also fine-tuned some of the models to assess whether the understanding of negation can be trained.
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
In this paper, we propose GoLLIE (Guideline-following Large Language Model for IE), a model able to improve zero-shot results on unseen IE tasks by virtue of being fine-tuned to comply with annotation guidelines.
Ranked #1 on
Zero-shot Named Entity Recognition (NER)
on HarveyNER
(using extra training data)
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task.
A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods
Detecting and normalizing temporal expressions is an essential step for many NLP tasks.
What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories
Language Models are the core for almost any Natural Language Processing system nowadays.
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
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 automatically generate annotated data.
Ranked #1 on
Cross-Lingual NER
on MasakhaNER2.0
(Hausa metric)
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Zero-resource cross-lingual transfer approaches aim to apply supervised models from a source language to unlabelled target languages.
Ranked #1 on
Cross-Lingual NER
on CoNLL Spanish
Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
Language resources are necessary for language processing, but building them is costly, involves many researches from different areas and needs constant updating.
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
While interactions in social media such as Twitter occur in many natural languages, research on stance detection (the position or attitude expressed with respect to a specific topic) within the Natural Language Processing field has largely been done for English.
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
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.
Ranked #1 on
Domain Labelling
on BabelDomains
Towards modelling SUMO attributes through WordNet adjectives: a Case Study on Qualities
In this context, we propose a new semi-automatic approach to model the knowledge about properties and attributes in SUMO by exploiting the information encoded in WordNet adjectives and its mapping to SUMO.
Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus
The TW-10 referendum Dataset released at IberEval 2018 is a previous effort to provide multilingual stance-annotated data in Catalan and Spanish.
NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts
This paper introduces the first version of the NUBes corpus (Negation and Uncertainty annotations in Biomedical texts in Spanish).
Multilingual Stance Detection: The Catalonia Independence Corpus
The TW-10 Referendum Dataset released at IberEval 2018 is a previous effort to provide multilingual stance-annotated data in Catalan and Spanish.
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
This paper presents a new technique for creating monolingual and cross-lingual meta-embeddings.
Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis
Our final objective is the extraction of some guidelines towards a better exploitation of this commonsense knowledge framework by the improvement of the included resources.
Language Independent Sequence Labelling for Opinion Target Extraction
In this research note we present a language independent system to model Opinion Target Extraction (OTE) as a sequence labelling task.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoning
In this paper, we investigate the application of the Closed World Assumption (CWA) to enable a better exploitation of FOL ontologies by using state-of-the-art automated theorem provers.
Validating WordNet Meronymy Relations using Adimen-SUMO
In this paper, we report on the practical application of a novel approach for validating the knowledge of WordNet using Adimen-SUMO.
Biomedical term normalization of EHRs with UMLS
This paper presents a novel prototype for biomedical term normalization of electronic health record excerpts with the Unified Medical Language System (UMLS) Metathesaurus.
Black-box Testing of First-Order Logic Ontologies Using WordNet
Applying different quality criteria, our testing proposal enables a successful evaluation of a) the competency of several translations of SUMO into FOL and b) the performance of various automated ATPs.
Automatic White-Box Testing of First-Order Logic Ontologies
Our proposal enables the detection of defects and serves to certify the grade of suitability --for reasoning purposes-- of every axiom.
W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis
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
Aspect-Based Sentiment Analysis (ABSA)
+2
Q-WordNet PPV: Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages
This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity lexicons.
Multilingual and Cross-lingual Timeline Extraction
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.
Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features
Finally, the results show that our emphasis on clustering features is crucial to develop robust out-of-domain models.
Ranked #62 on
Named Entity Recognition (NER)
on CoNLL 2003 (English)
The Event and Implied Situation Ontology (ESO): Application and Evaluation
This paper presents the Event and Implied Situation Ontology (ESO), a manually constructed resource which formalizes the pre and post situations of events and the roles of the entities affected by an event.
A Multilingual Predicate Matrix
This paper presents the Predicate Matrix 1. 3, a lexical resource resulting from the integration of multiple sources of predicate information including FrameNet, VerbNet, PropBank and WordNet.
A Comparison of Domain-based Word Polarity Estimation using different Word Embeddings
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.
Addressing the MFS Bias in WSD systems
Word Sense Disambiguation (WSD) systems tend to have a strong bias towards assigning the Most Frequent Sense (MFS), which results in high performance on the MFS but in a very low performance on the less frequent senses.
Improving the Competency of First-Order Ontologies
We introduce a new framework to evaluate and improve first-order (FO) ontologies using automated theorem provers (ATPs) on the basis of competency questions (CQs).
Evaluating the Competency of a First-Order Ontology
We report on the results of evaluating the competency of a first-order ontology for its use with automated theorem provers (ATPs).
NewsReader: recording history from daily news streams
The European project NewsReader develops technology to process daily news streams in 4 languages, extracting what happened, when, where and who was involved.
IXA pipeline: Efficient and Ready to Use Multilingual NLP tools
IXA pipeline is a modular set of Natural Language Processing tools (or pipes) which provide easy access to NLP technology.
Predicate Matrix: extending SemLink through WordNet mappings
This paper presents the Predicate Matrix v1. 1, a new lexical resource resulting from the integration of multiple sources of predicate information including FrameNet, VerbNet, PropBank and WordNet.
Mapping WordNet to the Kyoto ontology
This paper describes the connection of WordNet to a generic ontology based on DOLCE.
Highlighting relevant concepts from Topic Signatures
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.
A proposal for improving WordNet Domains
Moreover, it is very difficult to quantify the number of errors in the original version of WND.
Multilingual Central Repository version 3.0
This paper describes the upgrading process of the Multilingual Central Repository (MCR).
