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Babelfy

Babelfy is an algorithm for the disambiguation of text written in any language. Specifically, Babelfy performs the tasks of multilingual Word Sense… Expand
Wikipedia

Related topics

Related topics

8 relations
AlgorithmBabelNetEntity linkingNamed entity
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Broader (2)

Artificial intelligenceComputational linguistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Short Texts Semantic Similarity Based on Word Embeddings
Evaluating semantic similarity of texts is a task that assumes paramount importance in real-world applications. In this paper, we… Expand
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Highly Cited
2018
Highly Cited
2018
Robust named entity disambiguation with random walks
Named Entity Disambiguation is the task of assigning entities from a Knowledge Base to mentions of such entities in a textual… Expand
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Highly Cited
2018
Highly Cited
2018
GERBIL - Benchmarking Named Entity Recognition and Linking consistently
The ability to compare frameworks from the same domain is of central importance for their introduction into complex applications… Expand
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2018
2018
Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction
Keyphrases are single- or multi-word phrases that are used to describe the essential content of a document. Utilizing an external… Expand
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2017
2017
SemCluster: Unsupervised Automatic Keyphrase Extraction Using Affinity Propagation
Keyphrases provide important semantic metadata for organizing and managing free-text documents. As data grow exponentially, there… Expand
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2016
2016
Combining Textual and Graph-Based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
Named Entity Disambiguation NED is the task of disambiguating named entities in a natural language text by linking them to their… Expand
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Highly Cited
2015
Highly Cited
2015
Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis
We present DefIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual… Expand
2015
2015
Introducing Distiller: A Unifying Framework for Knowledge Extraction
The Digital Libraries community has shown over the last years a growing interest in Semantic Search technologies. Content… Expand
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Highly Cited
2014
Highly Cited
2014
AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data
Over the last decades, several billion Web pages have been made available on the Web. The ongoing transition from the current Web… Expand
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Highly Cited
2014
Highly Cited
2014
Entity Linking meets Word Sense Disambiguation: a Unified Approach
Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. But while the two tasks… Expand
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