[HTML][HTML] The role of metadata in reproducible computational research

J Leipzig, D Nüst, CT Hoyt, K Ram, J Greenberg - Patterns, 2021 - cell.com
Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

Knowledge Graph Multi-Hop Question Answering Based on Dependent Syntactic Semantic Augmented Graph Networks

S Cai, Q Ma, Y Hou, G Zeng - Electronics, 2024 - mdpi.com
In the rapidly evolving domain of question answering systems, the ability to integrate
machine comprehension with relational reasoning stands paramount. This paper introduces …

Interactive query expansion for professional search applications

T Russell-Rose, P Gooch… - Business Information …, 2021 - journals.sagepub.com
Knowledge workers (such as healthcare information professionals, patent agents and
recruitment professionals) undertake work tasks where search forms a core part of their …

Semantic role labeling for knowledge graph extraction from text

M Alam, A Gangemi, V Presutti… - Progress in Artificial …, 2021 - Springer
This paper introduces TakeFive, a new semantic role labeling method that transforms a text
into a frame-oriented knowledge graph. It performs dependency parsing, identifies the words …

Deep learning based multilabel hateful speech text comments recognition and classification model for resource scarce ethiopian language: The case of afaan oromo

NB Defersha, J Abawajy… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In response to the phenomenon of hate speech on popular social media such as Facebook,
a number of researchers have investigated and developed different automated techniques …

Semi-automatic ontology-driven development documentation: generating documents from RDF data and DITA templates

Y Pikus, N Weißenberg, B Holtkamp… - Proceedings of the 34th …, 2019 - dl.acm.org
For a data-driven economy, digitization of product information throughout the entire product
lifecycle is key to agility and efficiency of product-related processes. Documenting products …

Design of a knowledge-based agent as a social companion

L Wanner, E André, J Blat, S Dasiopoulou… - Procedia Computer …, 2017 - Elsevier
We present work in progress on an intelligent embodied conversation agent that is
supposed to act as a social companion with linguistic and emotional competence in the …

Not all swear words are used equal: Attention over word n-grams for abusive language identification

HJ Jarquín-Vásquez, M Montes-y-Gómez… - Mexican Conference on …, 2020 - Springer
The increasing propagation of abusive language in social media is a major concern for
supplier companies and governments because of its negative social impact. A large number …

Hate and Sarcasm Classification Using Machine Learning and Deep Learning Techniques: A Survey

R Dodmane - International Journal of Research in Engineering …, 2022 - journal.ijresm.com
This survey paper confers a study on hateful and sarcasm classification techniques. The
importance of hateful and sarcasm classification in social media is due to, the amount of …

Interoperability for the Semantic Web: A Loosely Coupled Mediation Approach

A Zimmermann - 2021 - theses.hal.science
Résumé Dans cette thèse, je défends deux opinions: une opinion générale, à savoir que je
mérite maintenant le diplôme d'habilitation, qui est le but principal de la rédaction de ce …