Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge

By Samer Hassan, Rada Mihalcea. 2009

143 citations recorded by the source corpus.

In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlanguage links available between Wikipedia versions in multiple languages. Through experiments performed on several language pairs, we show that the method performs well, with a performance comparable to monolingual measures of relatedness.

Subfields: Artificial Intelligence, Communication, Natural Language Processing

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Citations in the corpus

Enriching Word Vectors with Subword Information (2016, methodology): “Spanish, Arabic and Romanian word vectors are evaluated using the datasets described in (Hassan and Mihalcea, 2009).”
A Survey of Cross-lingual Word Embedding Models (2017, methodology): “Another embedding model based on the document-aligned Wikipedia structure (Søgaard, Agić, Alonso, Plank, Bohnet, & Johannsen, 2015) bears resemblance with the cross-lingual Explicit Semantic Analysis model (Gabrilovich & Markovitch, 2006; Hassan & Mihalcea, 2009; Sorg & Cimiano, 2012).”
Unsupervised Morphology Induction Using Word Embeddings (2015, methodology): “For French we use the RG65 French version (Joubarne and Inkpen, 2011); for Spanish, Romanian, and Arabic we use their respective versions of WS353 (Hassan and Mihalcea, 2009).”
A review of natural language processing techniques for opinion mining systems (2017, background): “it possible to exploit the abundant English resources [26, 27, 28, 29].”
Human and Machine Judgements for Russian Semantic Relatedness (2016, methodology): “Hassan and Mihalcea [16] and Postma and Vossen [17] used three stages to translation pairs: (1) disambiguation of the English word forms; (2) translation for each word; (3) ensuring that translations are in the same class of relative frequency as the English source word.”
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity (2017, background): “Despite this, very few word similarity datasets exist for languages other than English: The original English RG-65 (Rubenstein and Goodenough, 1965) and WordSim-353 (Finkelstein et al., 2002) datasets have been translated into other languages, either by experts (Gurevych, 2005; Joubarne and Inkpen, ”