CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Collective intelligence in law enforcement - The WikiCrimes system
Information Sciences: an International Journal
Information Extraction from Text Based on Semantic Inferentialism
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
SIM: um modelo semântico-inferencialista para sistemas de linguagem natural
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Semantic Inferentialist Analyser: A Semantic Analyser for Natural Language Sentences
STIL '09 Proceedings of the 2009 Seventh Brazilian Symposium in Information and Human Language Technology
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Towards a common sense base in portuguese for the linked open data cloud
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
A description logic for inferencenet.br
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
A service-oriented architecture for assisting the authoring of semantic crowd maps
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Knowledge-intensive word disambiguation via common-sense and wikipedia
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
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Often, the information necessary for a complete understanding of texts is implicit, which requires drawing inferences from the use of concepts in the linguistic praxis. We consider that the usual semantic reasoners of natural language systems face difficulties in capturing this knowledge, due mainly to the lack of linguistic-semantic resources that support reasoning of this nature. This paper presents a new linguistic resource that expresses semantic-inferentialist knowledge for the Portuguese language – InferenceNet.Br – containing a base of concepts and a base of sentence patterns. These bases provide content for a top layer of semantic reasoning in natural language systems, where semantic relations are considered according to their roles in inferences, as premises or conclusions. This linguistic resource was used in a system for extracting information about crime, and the results of this proof of concept are discussed.