15 citations · 31 across the 13 of their papers we have counts for
15 papers
Textual Entailment for Effective Triple Validation in Object Prediction
Andrés García-Silva, Cristian Berrío, José Manuel Gómez-Pérez
Knowledge base population seeks to expand knowledge graphs with facts that are typically extracted from a text corpus. Recently, language models pretrained on large corpora have be…
Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detection
Flavio Merenda, José Manuel Gómez-Pérez
Preventing the spread of misinformation is challenging. The detection of misleading content presents a significant hurdle due to its extreme linguistic and domain variability. Cont…
SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts
Andrés García-Silva, Cristian Berrío, José Manuel Gómez-Pérez +3
We present SpaceQA, to the best of our knowledge the first open-domain QA system in Space mission design. SpaceQA is part of an initiative by the European Space Agency (ESA) to fac…
On the Impact of Knowledge-based Linguistic Annotations in the Quality of Scientific Embeddings
Andres Garcia-Silva, Ronald Denaux, Jose Manuel Gomez-Perez
In essence, embedding algorithms work by optimizing the distance between a word and its usual context in order to generate an embedding space that encodes the distributional repres…
Understanding Transformers for Bot Detection in Twitter
Andres Garcia-Silva, Cristian Berrio, Jose Manuel Gomez-Perez
In this paper we shed light on the impact of fine-tuning over social media data in the internal representations of neural language models. We focus on bot detection in Twitter, a k…
Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?
Andres Garcia-Silva, Jose Manuel Gomez-Perez
We investigate the self-attention mechanism of BERT in a fine-tuning scenario for the classification of scientific articles over a taxonomy of research disciplines. We observe how…
ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention
Jose Manuel Gomez-Perez, Raul Ortega
Textbook Question Answering is a complex task in the intersection of Machine Comprehension and Visual Question Answering that requires reasoning with multimodal information from te…
Linked Credibility Reviews for Explainable Misinformation Detection
Ronald Denaux, Jose Manuel Gomez-Perez
In recent years, misinformation on the Web has become increasingly rampant. The research community has responded by proposing systems and challenges, which are beginning to be usef…
Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
Ronald Denaux, Jose Manuel Gomez-Perez
Deep learning currently dominates the benchmarks for various NLP tasks and, at the basis of such systems, words are frequently represented as embeddings --vectors in a low dimensio…
Look, Read and Enrich. Learning from Scientific Figures and their Captions
Jose Manuel Gomez-Perez, Raul Ortega
Compared to natural images, understanding scientific figures is particularly hard for machines. However, there is a valuable source of information in scientific literature that unt…
Enabling FAIR Research in Earth Science through Research Objects
Andres Garcia-Silva, Jose Manuel Gomez-Perez, Raul Palma +24
Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement,…
Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures
Esteban García-Cuesta, José M. Gómez-Pérez
Over the last years, scientific workflows have become mature enough to be used in a production style. However, despite the increasing maturity, there is still a shortage of tools f…
Not just about size - A Study on the Role of Distributed Word Representations in the Analysis of Scientific Publications
Andres Garcia, Jose Manuel Gomez-Perez
The emergence of knowledge graphs in the scholarly communication domain and recent advances in artificial intelligence and natural language processing bring us closer to a scenario…
Collaboration Spheres: a Visual Metaphor to Share and Reuse Research Objects
Mariano Rico, José Manuel Gómez-Pérez, Rafael Gonzalez +2
Research Objects (ROs) are semantically enhanced aggregations of resources associated to scientific experiments, such as data, provenance of these data, the scientific workflow use…
The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web
Khalid Belhajjame, Jun Zhao, Daniel Garijo +7
Research in life sciences is increasingly being conducted in a digital and online environment. In particular, life scientists have been pioneers in embracing new computational tool…