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Open AccessProceedings Article

Linking and Extending an Open Multilingual Wordnet

Francis Bond, +1 more
- pp 1352-1362
TLDR
An open multilingual wordnet with large wordnets for over 26 languages and smaller ones for 57 languages, made by combining wordnets with open licences, data from Wiktionary and the Unicode Common Locale Data Repository.
Abstract
We create an open multilingual wordnet with large wordnets for over 26 languages and smaller ones for 57 languages. It is made by combining wordnets with open licences, data from Wiktionary and the Unicode Common Locale Data Repository. Overall there are over 2 million senses for over 100 thousand concepts, linking over 1.4 million words in hundreds of languages.

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Citations
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Proceedings Article

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

TL;DR: ConceptNet as mentioned in this paper is a knowledge graph that connects words and phrases of natural language with labeled edges to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.
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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

TL;DR: ConceptNet as discussed by the authors is a knowledge graph that connects words and phrases of natural language with labeled edges to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.
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Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

TL;DR: This paper proposed MTransE, a translation-based model for multilingual knowledge graph embeddings, which provides transitions for each embedding vector to its cross-lingual counterparts in other spaces, while preserving the functionalities of monolingual embedding.
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Cross-lingual Models of Word Embeddings: An Empirical Comparison

TL;DR: This article performed an extensive evaluation of four popular approaches of inducing cross-lingual embeddings, each requiring a different form of supervision, on four typographically different language pairs, and showed that models which require expensive crosslingual knowledge almost always perform better, but cheaply supervised models often prove competitive on certain tasks.
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I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs

TL;DR: This work proposes an end-to-end ZSAR framework based on a structured knowledge graph, which can jointly model the relationships between action-attribute, action-action, and attribute-attribute and designs a novel Two-Stream Graph Convolutional Network (TS-GCN) consisting of a classifier branch and an instance branch.
References
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Journal ArticleDOI

WordNet : an electronic lexical database

Christiane Fellbaum
- 01 Sep 2000 - 
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.
Journal ArticleDOI

BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network

TL;DR: An automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network, key to this approach is the integration of lexicographic and encyclopedic knowledge from WordNet and Wikipedia.

Secure Hash Standard

Quynh H. Dang
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Proceedings ArticleDOI

Language grid: an infrastructure for intercultural collaboration

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Journal ArticleDOI

Wasted skills: a general overview.

TL;DR: The physically handicapped include a range of conditions which vary in origin, age of onset and have differing prognostic outlooks, and there is every justification for categorising them in a single group.