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A Multi-Word Expression Dataset for Swedish
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik.ORCID-id: 0000-0002-7020-8275
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik.ORCID-id: 0000-0002-6027-4156
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik.
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik.ORCID-id: 0000-0003-4040-3544
2020 (engelsk)Inngår i: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille: European Language Resources Association (ELRA) , 2020, s. 4402-4409Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present a new set of 96 Swedish multi-word expressions annotated with degree of (non-)compositionality. In contrast to most previous compositionality datasets we also consider syntactically complex constructions and publish a formal specification of each expression. This allows evaluation of computational models beyond word bigrams, which have so far been the norm. Finally, we use the annotations to evaluate a system for automatic compositionality estimation based on distributional semantics. Our analysis of the disagreements between human annotators and the distributional model reveal interesting questions related to the perception of compositionality, and should be informative to future work in the area.

sted, utgiver, år, opplag, sider
Marseille: European Language Resources Association (ELRA) , 2020. s. 4402-4409
Emneord [en]
multi-word expressions, compositionality, distributional semantic
HSV kategori
Forskningsprogram
datorlingvistik
Identifikatorer
URN: urn:nbn:se:su:diva-192115OAI: oai:DiVA.org:su-192115DiVA, id: diva2:1543695
Konferanse
12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, France, May 11–16, 2020
Tilgjengelig fra: 2021-04-12 Laget: 2021-04-12 Sist oppdatert: 2025-02-07bibliografisk kontrollert

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Kurfali, MurathanÖstling, RobertSjons, JohanWirén, Mats

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