most citedOn the Semantic Interpretability of Artificial Intelligence Models

11 citations · 11 across the 1 of their papers we have counts for

collaborators

5 papers

cs.AI201911 cited

On the Semantic Interpretability of Artificial Intelligence Models

Vivian S. Silva, André Freitas, Siegfried Handschuh

Artificial Intelligence models are becoming increasingly more powerful and accurate, supporting or even replacing humans' decision making. But with increased power and accuracy als…

cs.CL2018

Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition

Vivian S. Silva, André Freitas, Siegfried Handschuh

Natural language definitions of terms can serve as a rich source of knowledge, but structuring them into a comprehensible semantic model is essential to enable them to be used in s…

cs.CL2018

Semantic Relation Classification: Task Formalisation and Refinement

Vivian S. Silva, Manuela Hürliman, Brian Davis +2

The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight sema…

cs.CL2018

Categorization of Semantic Roles for Dictionary Definitions

Vivian S. Silva, Siegfried Handschuh, André Freitas

Understanding the semantic relationships between terms is a fundamental task in natural language processing applications. While structured resources that can express those relation…

cs.CL2018

Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs

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 a…