Constructing Bayesian networks by harvesting knowledge from online resources
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- Type
- article
- Published
- 2016-07-05
- Cited by
- 0
- References
- 23
- OpenAlex
- https://openalex.org/W2507185228
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9125428
Keywords
Computer science, Inference, Bayesian network, Artificial intelligence, Knowledge extraction
References
- Measuring Semantic Similarity in Short Texts through Greedy Pairing and Word Semantics
- Efficient Estimation of Word Representations in Vector Space
- Convolutional Neural Networks for Sentence Classification
- A Primer on Neural Network Models for Natural Language Processing
- CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise
- The Importance of Syntactic Parsing and Inference in Semantic Role Labeling
- Automatic Ontology-Based Knowledge Extraction from Web Documents
- The Stanford CoreNLP Natural Language Processing Toolkit
- Open Information Extraction from the Web
- Optimizing Semantic Coherence in Topic Models
- Unsupervised named-entity extraction from the Web: An experimental study
- Distributed Representations of Words and Phrases and their Compositionality
- Wolfram Alpha: computational knowledge engine
- Bayesian Knowledge Corroboration with Logical Rules and User Feedback
- Efficient Estimation of Word Representations in Vector Space
- Combining local context and wordnet similarity for word sense identification
- Combining Local Context and Wordnet Similarity for Word Sense Identification
- Using TF-IDF to Determine Word Relevance in Document Queries
- A Comparison of Knowledge Extraction Tools for the Semantic Web
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