28 citations · 151 across the 25 of their papers we have counts for
10 papers · 1 filter
Graphene: A Context-Preserving Open Information Extraction System
Matthias Cetto, Christina Niklaus, André Freitas +1
We introduce Graphene, an Open IE system whose goal is to generate accurate, meaningful and complete propositions that may facilitate a variety of downstream semantic applications.…
Graphene: Semantically-Linked Propositions in Open Information Extraction
Matthias Cetto, Christina Niklaus, André Freitas +1
We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal disembedding layer, to…
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…
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…
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…
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…