Everything about BabelNet
Multilingual lexical-semantic knowledge graph and encyclopedic dictionary
BabelNet is a multilingual lexical-semantic knowledge graph, ontology and encyclopedic dictionary developed at the NLP group of the Sapienza University of Rome under the supervision of Roberto Navigli. BabelNet was automatically created by linking Wikipedia to the most popular computational lexicon of the English language, WordNet. The integration is done using an automatic mapping and by filling in lexical gaps in resource-poor languages by using statistical machine translation. The result is an encyclopedic dictionary that provides concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. Additional lexicalizations and definitions are added by linking to free-license wordnets, OmegaWiki, the English Wiktionary, Wikidata, FrameNet, VerbNet and others. Similarly to WordNet, BabelNet groups words in different languages into sets of synonyms, called Babel synsets. For each Babel synset, BabelNet provides short definitions in many languages harvested from both WordNet and Wikipedia. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: BabelNetA 5-minute orientation
- Pick up a classic book: Stealing the networkThe most-reprinted book on the subject
- Read the landmark paper: BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic networkCited 753 times
- Go sideways: WordNetA closely related topic
- Go sideways: Roberto NavigliA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
An index-based joint multilingual/cross-lingual text categorization using topic expansion via BabelNet
BabelNet and Friends: A manifesto for multilingual semantic processing
B-BabelNet: Business-Specific Lexical Database for Improving Semantic Analysis of Business Process Models
Query Expansion Based on Wikipedia Word Embedding and BabelNet Method for Searching Arabic Documents
Ontology Matching using BabelNet Dictionary and Word Sense Disambiguation Algorithms
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
📚 Books worth reading
Stealing the networkRyan Russell · 2009
The People’s Web Meets NLPIryna Gurevych · 2013
Computational Linguistics and Intelligent Text ProcessingAlexander Gelbukh · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- WordNet WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms.…
- Roberto Navigli Roberto Navigli (born 1978) is an Italian computer scientist and professor in the Department of Computer, Control and Management Engineering "Antonio Ruberti"…
- Word-sense disambiguation Word-sense disambiguation, or simply disambiguation, is the process of identifying which sense of a word is meant in a sentence or other segment of context…
- Babelfy Babelfy is a software algorithm for the disambiguation of text written in any language. It performs the tasks of multilingual Word Sense Disambiguation…
- UBY UBY is a large-scale lexical-semantic resource for natural language processing (NLP) developed at the Ubiquitous Knowledge Processing Lab (UKP) in the…
- Glossary A glossary (from Ancient Greek: γλῶσσα, glossa; language, speech, wording), also known as a vocabulary or clavis, is an alphabetical list of terms in a…
- SemEval SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense evaluation…
- Semantic similarity Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning…