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BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
TLDR
We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Expand
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WikiRelate! Computing Semantic Relatedness Using Wikipedia
TLDR
We present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. Expand
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BabelNet: Building a Very Large Multilingual Semantic Network
TLDR
In this paper we present BabelNet -- a very large, wide-coverage multilingual semantic network that integrates lexicographic and encyclopedic knowledge from WordNet and Wikipedia. Expand
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Deriving a Large-Scale Taxonomy from Wikipedia
TLDR
We use semi-structured input by taking the category system in Wikipedia as a conceptual network. Expand
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Exploring Neural Text Simplification Models
TLDR
We present the first attempt at using sequence to sequence neural networks to model text simplification (TS). Expand
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BART: A Modular Toolkit for Coreference Resolution
TLDR
We present BART, a highly modular toolkit for developing coreference applications. Expand
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Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution
TLDR
In this paper we present an extension of a machine learning based coreference resolution system which uses features induced from different semantic knowledge sources. Expand
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Knowledge-Rich Word Sense Disambiguation Rivaling Supervised Systems
TLDR
We present a methodology to automatically extend WordNet with large amounts of semantic relations from an encyclopedic resource, namely Wikipedia. Expand
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Knowledge-based graph document modeling
TLDR
We propose a graph-based semantic model for representing document content. Expand
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Knowledge Derived From Wikipedia For Computing Semantic Relatedness
TLDR
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashion than a search engine and with more coverage than WordNet. Expand
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