Search Results for author: Jose Manuel Gomez-Perez

Found 11 papers, 5 papers with code

ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention

no code implementations EMNLP 2020 Jose Manuel Gomez-Perez, Ra{\'u}l 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 text and diagrams.

Multiple-choice Question Answering +2

Understanding Transformers for Bot Detection in Twitter

1 code implementation13 Apr 2021 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.

On the Impact of Knowledge-based Linguistic Annotations in the Quality of Scientific Embeddings

no code implementations13 Apr 2021 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 representation of words.

Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?

1 code implementation20 Jan 2021 Andres Garcia-Silva, Jose Manuel Gomez-Perez

We compare and evaluate the subset of the most attended words with feature selection methods normally used for text classification in order to characterize self-attention as a possible feature selection approach.

feature selection General Classification +2

ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention

no code implementations1 Oct 2020 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 text and diagrams.

Multiple-choice Question Answering +2

Linked Credibility Reviews for Explainable Misinformation Detection

1 code implementation28 Aug 2020 Ronald Denaux, Jose Manuel Gomez-Perez

In this paper we propose an architecture based on a core concept of Credibility Reviews (CRs) that can be used to build networks of distributed bots that collaborate for misinformation detection.

Misinformation Semantic Similarity +2

Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings

1 code implementation24 Sep 2019 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 dimensional space-- learned from large text corpora and various algorithms have been proposed to learn both word and concept embeddings.

Not just about size - A Study on the Role of Distributed Word Representations in the Analysis of Scientific Publications

no code implementations5 Apr 2018 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 where intelligent systems can assist scientists over a range of knowledge-intensive tasks.

Knowledge Graphs Specificity +1

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