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27 results on '"Camacho, David"'

3. Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community

Author

Torregrosa, Javier, Panizo-LLedot, Ángel, D’Antonio-Maceiras, Sergio, Camacho, David, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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6. Countering Misinformation Through Semantic-Aware Multilingual Models

Author

Huertas-García, Álvaro, Huertas-Tato, Javier, Martín, Alejandro, Camacho, David, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yin, Hujun, editor, Camacho, David, editor, Tino, Peter, editor, Allmendinger, Richard, editor, Tallón-Ballesteros, Antonio J., editor, Tang, Ke, editor, Cho, Sung-Bae, editor, Novais, Paulo, editor, and Nascimento, Susana, editor

Published
2021
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7. BERTuit: Understanding Spanish language in Twitter with transformers.

Author

Huertas‐Tato, Javier, Martín, Alejandro, and Camacho, David

Subjects
NATURAL language processing, SPANISH language, LANGUAGE models, ONLINE social networks, SOCIAL networks
Abstract

The appearance of complex attention‐based language models such as BERT, RoBERTa or GPT‐3 has allowed to address highly complex tasks in a plethora of scenarios. However, when applied to specific domains, these models encounter considerable difficulties. This is the case of Social Networks such as Twitter, an ever‐changing stream of information written with informal and complex language, where each message requires careful evaluation to be understood even by humans given the important role that context plays. Addressing tasks in this domain through Natural Language Processing involves severe challenges. When powerful state‐of‐the‐art multilingual language models are applied to this scenario, language specific nuances get lost in translation. To face these challenges we present BERTuit, the largest transformer proposed so far for Spanish language, pre‐trained on a massive dataset of 230 M Spanish tweets using RoBERTa optimization. Our motivation is to provide a powerful resource to better understand Spanish Twitter and to be used on applications focused on this social network, with special emphasis on solutions devoted to tackle the spreading of misinformation in this platform. BERTuit is evaluated on several tasks and compared against M‐BERT, XLM‐RoBERTa and XLM‐T, very competitive multilingual transformers. The utility of our approach is shown with applications, in this case: an unsupervised methodology to visualize groups of hoaxes; and supervised profiling of authors spreading disinformation. [ABSTRACT FROM AUTHOR]

Published
2023
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8. Text Similarity Between Concepts Extracted from Source Code and Documentation

Author

Pauzi, Zaki, Capiluppi, Andrea, Analide, Cesar, Novais, Paulo, Camacho, David, Yin, Hujun, and Software Engineering

Subjects
050101 languages & linguistics, Information retrieval, Source code, Traceability, Computer science, media_common.quotation_subject, Natural language processing, 05 social sciences, sync, Text similarity, Context (language use), 02 engineering and technology, GeneralLiterature_MISCELLANEOUS, Documentation, Constant (computer programming), Information Retrieval, 0202 electrical engineering, electronic engineering, information engineering, Code (cryptography), 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Software system, media_common
Abstract

Context: Constant evolution in software systems often results in its documentation losing sync with the content of the source code. The traceability research field has often helped in the past with the aim to recover links between code and documentation, when the two fell out of sync. Objective: The aim of this paper is to compare the concepts contained within the source code of a system with those extracted from its documentation, in order to detect how similar these two sets are. If vastly different, the difference between the two sets might indicate a considerable ageing of the documentation, and a need to update it. Methods: In this paper we reduce the source code of 50 software systems to a set of key terms, each containing the concepts of one of the systems sampled. At the same time, we reduce the documentation of each system to another set of key terms. We then use four different approaches for set comparison to detect how the sets are similar. Results: Using the well known Jaccard index as the benchmark for the comparisons, we have discovered that the cosine distance has excellent comparative powers, and depending on the pre-training of the machine learning model. In particular, the SpaCy and the FastText embeddings offer up to 80% and 90% similarity scores. Conclusion: For most of the sampled systems, the source code and the documentation tend to contain very similar concepts. Given the accuracy for one pre-trained model (e.g., FastText), it becomes also evident that a few systems show a measurable drift between the concepts contained in the documentation and in the source code.

Published
2020

9. Understanding writing style in social media with a supervised contrastively pre-trained transformer.

Author

Huertas-Tato, Javier, Martín, Alejandro, and Camacho, David

Abstract

We introduce the Style Transformer for Authorship Representations (STAR) to detect and characterize writing style in social media. The model is trained on a heterogeneous large corpus derived from public sources with 4. 5 ⋅ 1 0 6 authored texts from 70k authors leveraging Supervised Contrastive Loss to minimize the distance between texts authored by the same individual. This pretext pre-training task yields competitive performance at zero-shot with PAN challenges on attribution and clustering. We attain promising results on PAN verification challenges using STAR as a feature extractor. Finally, we present results from our test partition on Reddit, where using a support base of 8 documents of 512 tokens, we can discern authors from sets of up to 1616 authors with at least 80% accuracy. We share our pre-trained model at huggingface AIDA-UPM/star and our code is available at jahuerta92/star. • Contrastive pre-training method to learn writing style patterns and features. • Embeddings perform with accuracy in out-of-domain social network challenges. • Model is competitive against specialized methods without domain adjustments. • Code and weights are available for reproducibility and further development. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Generating Wildfire Heat Maps with Twitter and BERT

Author

Pinto, João Cabral, Gonçalo Oliveira, Hugo, Cardoso, Alberto, Silva, Catarina, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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11. Evaluating Text Classification in the Legal Domain Using BERT Embeddings

Author

Costa, José Alfredo F., Dantas, Nielsen Castelo D., Silva, Esdras Daniel S. A., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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12. Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification

Author

Flores, Christopher A., Verschae, Rodrigo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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13. Emotion Extraction from Likert-Scale Questionnaires : – An Additional Dimension to Psychology Instruments –

Author

Magalhães, Renata, Marcondes, Francisco S., Durães, Dalila, Novais, Paulo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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14. Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts

Author

Freire, Daniela L., de Almeida, Alex M. G., de S. Dias, Márcio, Rivolli, Adriano, Pereira, Fabíola S. F., de Godoi, Giliard A., de Carvalho, Andre C. P. L. F., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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15. Language Models for Automatic Distribution of Review Notes in Movie Production

Author

Garcés, Diego, Santos, Matilde, Fernández-Llorca, David, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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16. Extracting Automatically a Domain Ontology from the 'Book of Properties' of the Archbishop’s Table of Braga

Author

Carvalho, José Pedro, Belo, Orlando, Barros, Anabela, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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17. Domain Adaptation in Transformer Models: Question Answering of Dutch Government Policies

Author

Blom, Berry, Pereira, João L. M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quaresma, Paulo, editor, Camacho, David, editor, Yin, Hujun, editor, Gonçalves, Teresa, editor, Julian, Vicente, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2023
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18. Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers

Author

Kenneweg, Philip, Schulz, Alexander, Schröder, Sarah, Hammer, Barbara, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yin, Hujun, editor, Camacho, David, editor, and Tino, Peter, editor

Published
2022
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19. Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora

Author

Correia, João, Mendes, Rui, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yin, Hujun, editor, Camacho, David, editor, Tino, Peter, editor, Allmendinger, Richard, editor, Tallón-Ballesteros, Antonio J., editor, Tang, Ke, editor, Cho, Sung-Bae, editor, Novais, Paulo, editor, and Nascimento, Susana, editor

Published
2021
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20. A Collaborative Platform for the Detection of Non-inclusive Situations in Smart Cities

Author

González-Briones, Alfonso, García-Magariño, Iván, Gómez-Sanz, Jorge J., Fuentes-Fernández, Rubén, Pavón, Juan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Alba, Enrique, editor, Luque, Gabriel, editor, Chicano, Francisco, editor, Cotta, Carlos, editor, Camacho, David, editor, Ojeda-Aciego, Manuel, editor, Montes, Susana, editor, Troncoso, Alicia, editor, Riquelme, José, editor, and Gil-Merino, Rodrigo, editor

Published
2021
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21. SILT: Efficient transformer training for inter-lingual inference.

Author

Huertas-Tato, Javier, Martín, Alejandro, and Camacho, David

Subjects
*NATURAL language processing, *SILT, *NATURAL languages
Abstract

The ability of transformers to perform precision tasks such as question answering, Natural Language Inference (NLI) or summarizing, has enabled them to be ranked as one of the best paradigms to address Natural Language Processing (NLP) tasks. NLI is one of the best scenarios to test these architectures, due to the knowledge required to understand complex sentences and established relationships between a hypothesis and a premise. Nevertheless, these models suffer from the incapacity to generalize to other domains or from difficulties to face multilingual and interlingual scenarios. The leading pathway in the literature to address these issues involve designing and training extremely large architectures, but this causes unpredictable behaviors and establishes barriers which impede broad access and fine tuning. In this paper, we propose a new architecture called Siamese Inter-Lingual Transformer (SILT). This architecture is able to efficiently align multilingual embeddings for Natural Language Inference, allowing for unmatched language pairs to be processed. SILT leverages siamese pre-trained multi-lingual transformers with frozen weights where the two input sentences attend to each other to later be combined through a matrix alignment method. The experimental results carried out in this paper evidence that SILT allows to reduce drastically the number of trainable parameters while allowing for inter-lingual NLI and achieving state-of-the-art performance on common benchmarks. • Efficient alignment of multilingual embeddings for Natural Language Inference. • Siamese pretrained multilingual transformers with frozen weights and mutual attention. • A curated Spanish version of the SICK dataset, called SICK-es is provided. • Drastic reduction of trainable parameters and ability to perform inter-lingual tasks. [ABSTRACT FROM AUTHOR]

Published
2022
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22. Biased Language Detection in Court Decisions

Author

Pinto, Alexandra Guedes, Cardoso, Henrique Lopes, Duarte, Isabel Margarida, Warrot, Catarina Vaz, Sousa-Silva, Rui, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Analide, Cesar, editor, Novais, Paulo, editor, Camacho, David, editor, and Yin, Hujun, editor

Published
2020
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23. Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy

Author

ALSalamah, Seetah, Batista-Navarro, Riza, King, Ross D., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yin, Hujun, editor, Camacho, David, editor, Tino, Peter, editor, Tallón-Ballesteros, Antonio J., editor, Menezes, Ronaldo, editor, and Allmendinger, Richard, editor

Published
2019
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24. Use Case Prediction Using Product Reviews Text Classification

Author

Wamambo, Tinashe, Luca, Cristina, Fatima, Arooj, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yin, Hujun, editor, Camacho, David, editor, Tino, Peter, editor, Tallón-Ballesteros, Antonio J., editor, Menezes, Ronaldo, editor, and Allmendinger, Richard, editor

Published
2019
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25. Convolutional Neural Network for Core Sections Identification in Scientific Research Publications

Author

Muhammad, Bello Aliyu, Iqbal, Rahat, James, Anne, Nkantah, Dianabasi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yin, Hujun, editor, Camacho, David, editor, Tino, Peter, editor, Tallón-Ballesteros, Antonio J., editor, Menezes, Ronaldo, editor, and Allmendinger, Richard, editor

Published
2019
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26. On Detecting Online Radicalization Using Natural Language Processing

Author

Oussalah, Mourad, Faroughian, F., Kostakos, Panos, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Yin, Hujun, editor, Camacho, David, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2018
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27. Knowledge-Based Approach to Question Answering System Selection

Author

Konys, Agnieszka, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Núñez, Manuel, editor, Nguyen, Ngoc Thanh, editor, Camacho, David, editor, and Trawiński, Bogdan, editor

Published
2015
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