no code implementations • 25 Sep 2020 • Vivian S. Silva, André Freitas, Siegfried Handschuh
Text entailment, the task of determining whether a piece of text logically follows from another piece of text, is a key component in NLP, providing input for many semantic applications such as question answering, text summarization, information extraction, and machine translation, among others.
no code implementations • 9 Jul 2019 • Vivian S. Silva, André Freitas, Siegfried Handschuh
Artificial Intelligence models are becoming increasingly more powerful and accurate, supporting or even replacing humans' decision making.
no code implementations • 20 Jun 2018 • Vivian S. Silva, André Freitas, Siegfried Handschuh
Semantic annotation is fundamental to deal with large-scale lexical information, mapping the information to an enumerable set of categories over which rules and algorithms can be applied, and foundational ontology classes can be used as a formal set of categories for such tasks.
no code implementations • LREC 2018 • Vivian S. Silva, André Freitas, Siegfried Handschuh
Adopting a conceptual model composed of a set of semantic roles for dictionary definitions, we trained a classifier for automatically labeling definitions, preparing the data to be later converted to a graph representation.
no code implementations • WS 2016 • Vivian S. Silva, Manuela Hürliman, Brian Davis, Siegfried Handschuh, André Freitas
This work provides a critique on the set of abstract relations used for semantic relation classification with regard to their ability to express relationships between terms which are found in a domain-specific corpora.
no code implementations • WS 2016 • Vivian S. Silva, Siegfried Handschuh, André Freitas
Understanding the semantic relationships between terms is a fundamental task in natural language processing applications.