RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning 2017
DOI: 10.26615/978-954-452-049-6_061
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Human Associations Help to Detect Conventionalized Multiword Expressions

Abstract: In this paper we show that if we want to obtain human evidence about conventionalization of some phrases, we should ask native speakers about associations they have to a given phrase and its component words. We have shown that if component words of a phrase have each other as frequent associations, then this phrase can be considered as conventionalized. Another type of conventionalized phrases can be revealed using two factors: low entropy of phrase associations and low intersection of component word and phras… Show more

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“…To predict the non-compositionality of an expression, we use cosine similarity between the expression vector representation v(w1w2) and the sum of the vector representations of the component words v(w1 + w2). This method has been extensively used in previous research on non-compositionality prediction (Mitchell and Lapata, 2010;Salehi et al, 2015;Cordeiro et al, 2016;Loukachevitch and Gerasimova, 2017;Nandakumar et al, 2018Nandakumar et al, , 2019, formally:…”
Section: Non-compositionality Predictionmentioning
confidence: 99%
“…To predict the non-compositionality of an expression, we use cosine similarity between the expression vector representation v(w1w2) and the sum of the vector representations of the component words v(w1 + w2). This method has been extensively used in previous research on non-compositionality prediction (Mitchell and Lapata, 2010;Salehi et al, 2015;Cordeiro et al, 2016;Loukachevitch and Gerasimova, 2017;Nandakumar et al, 2018Nandakumar et al, , 2019, formally:…”
Section: Non-compositionality Predictionmentioning
confidence: 99%