Academic Journal
Contrasting syntagmatic and paradigmatic relations: Insights from distributional semantic models
العنوان: | Contrasting syntagmatic and paradigmatic relations: Insights from distributional semantic models |
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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 |
الوصف غير متاح. |