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20002026
most citedUsing Bad Learners to find Good Configurations

123 citations

Showing 2018 · cs.CLShow all

6 papers · 2 filters

cs.CL2018★ 16 cited

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…

cs.CL2018★ 4 cited

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★ 3 cited

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…

cs.CL2018★ 9 cited

A Survey on Open Information Extraction

Christina Niklaus, Matthias Cetto, André Freitas +1

We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such syst…

cs.CL2018★ 4 cited

Semantic Relatedness for All (Languages): A Comparative Analysis of Multilingual Semantic Relatedness Using Machine Translation

Andre Freitas, Siamak Barzegar, Juliano Efson Sales +2

This paper provides a comparative analysis of the performance of four state-of-the-art distributional semantic models (DSMs) over 11 languages, contrasting the native language-spec…

cs.CL2018★ 1 cited

Composite Semantic Relation Classification

Siamak Barzegar, Andre Freitas, Siegfried Handschuh +1

Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text. Howev…