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BabelNet

BabelNet is a multilingual lexicalized semantic network and ontology developed at the Linguistic Computing Laboratory in the Department of Computer… 
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Artificial intelligenceComputational linguistics
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The apertium bilingual dictionaries on the web of data
Bilingual electronic dictionaries contain collections of lexical entries in two languages, with explicitly declared translation… 
2017
2017
A semantic-grained perspective of latent knowledge modeling
2017
2017
Data Integration for Open Data on the Web
In this lecture we will discuss and introduce challenges of integrating openly available Web data and how to solve them. Firstly… 
2016
2016
Ten Years of Knowledge Harvesting: Lessons and Challenges
This article is a retrospective on the theme of knowledge harvesting: automatically constructing large high-quality knowledge… 
2016
2016
Using BabelNet to Improve OOV Coverage in SMT
Out-of-vocabulary words (OOVs) are a ubiquitous and difficult problem in statistical machine translation (SMT). This paper… 
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… 
Highly Cited
2014
Highly Cited
2014
Enriching ontology mappings with semantic relations
Review
2014
Review
2014
Knowledge Bases in the Age of Big Data Analytics
This tutorial gives an overview on state-of-the-art methods for the automatic construction of large knowledge bases and… 
Highly Cited
2014
Highly Cited
2014
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project
We present WiBi, an approach to the automatic creation of a bitaxonomy for Wikipedia, that is, an integrated taxonomy of Wikipage… 
Highly Cited
2013
Highly Cited
2013
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
In this paper we describe our Semeval-2013 task on Word Sense Induction and Disambiguation within an end-user application, namely… 
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