Journal ArticleDOI
Automatic knowledge extraction from documents
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This paper describes in detail what kind of shallow knowledge is extracted, how it is automatically done from a large corpus, and how additional semantics are inferred from aggregate statistics of the automatically extracted shallow knowledge.Abstract:
Access to a large amount of knowledge is critical for success at answering open-domain questions for DeepQA systems such as IBM Watson™. Formal representation of knowledge has the advantage of being easy to reason with, but acquisition of structured knowledge in open domains from unstructured data is often difficult and expensive. Our central hypothesis is that shallow syntactic knowledge and its implied semantics can be easily acquired and can be used in many areas of a question-answering system. We take a two-stage approach to extract the syntactic knowledge and implied semantics. First, shallow knowledge from large collections of documents is automatically extracted. Second, additional semantics are inferred from aggregate statistics of the automatically extracted shallow knowledge. In this paper, we describe in detail what kind of shallow knowledge is extracted, how it is automatically done from a large corpus, and how additional semantics are inferred from aggregate statistics. We also briefly discuss the various ways extracted knowledge is used throughout the IBM DeepQA system.read more
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References
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Journal ArticleDOI
WordNet : an electronic lexical database
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
Proceedings ArticleDOI
Yago: a core of semantic knowledge
TL;DR: YAGO as discussed by the authors is a light-weight and extensible ontology with high coverage and quality, which includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as HASONEPRIZE).
Book
English Verb Classes and Alternations: A Preliminary Investigation
TL;DR: Levin this paper classified over 3,000 English verbs according to shared meaning and behavior, and examined verb behavior with respect to a wide range of syntactic alternations that reflect verb meaning.
Proceedings ArticleDOI
The Berkeley FrameNet Project
TL;DR: This report will present the project's goals and workflow, and information about the computational tools that have been adapted or created in-house for this work.
Journal ArticleDOI
DBpedia - A crystallization point for the Web of Data
Christian Bizer,Jens Lehmann,Georgi Kobilarov,Sören Auer,Christian Becker,Richard Cyganiak,Sebastian Hellmann +6 more
TL;DR: The extraction of the DBpedia knowledge base is described, the current status of interlinking DBpedia with other data sources on the Web is discussed, and an overview of applications that facilitate the Web of Data around DBpedia is given.