Academic Journal

Contrasting syntagmatic and paradigmatic relations: Insights from distributional semantic models

التفاصيل البيبلوغرافية
العنوان: Contrasting syntagmatic and paradigmatic relations: Insights from distributional semantic models
المؤلفون: Gabriella Lapesa, Stefan Evert, Sabine Schulte Im Walde
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://aclweb.org/anthology/S/S14/S14-1020.pdf.
سنة النشر: 2014
المجموعة: CiteSeerX
الوصف: This paper presents a large-scale evalua-tion of bag-of-words distributional models on two datasets from priming experiments involving syntagmatic and paradigmatic relations. We interpret the variation in performance achieved by different settings of the model parameters as an indication of which aspects of distributional patterns characterize these types of relations. Con-trary to what has been argued in the litera-ture (Rapp, 2002; Sahlgren, 2006) – that bag-of-words models based on second-order statistics mainly capture paradig-matic relations and that syntagmatic rela-tions need to be gathered from first-order models – we show that second-order mod-els perform well on both paradigmatic and syntagmatic relations if their parameters are properly tuned. In particular, our re-sults show that size of the context window and dimensionality reduction play a key role in differentiating DSM performance on paradigmatic vs. syntagmatic relations. 1
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.9569; http://aclweb.org/anthology/S/S14/S14-1020.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.9569
http://aclweb.org/anthology/S/S14/S14-1020.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.B5F30649
قاعدة البيانات: BASE