تقرير
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
| العنوان: | Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops |
|---|---|
| المؤلفون: | Gultchin, Limor, Patterson, Genevieve, Baym, Nancy, Swinger, Nathaniel, Kalai, Adam Tauman |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Machine Learning, Statistics - Machine Learning |
| الوصف: | While humor is often thought to be beyond the reach of Natural Language Processing, we show that several aspects of single-word humor correlate with simple linear directions in Word Embeddings. In particular: (a) the word vectors capture multiple aspects discussed in humor theories from various disciplines; (b) each individual's sense of humor can be represented by a vector, which can predict differences in people's senses of humor on new, unrated, words; and (c) upon clustering humor ratings of multiple demographic groups, different humor preferences emerge across the different groups. Humor ratings are taken from the work of Engelthaler and Hills (2017) as well as from an original crowdsourcing study of 120,000 words. Our dataset further includes annotations for the theoretically-motivated humor features we identify. |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/1902.02783Test |
| رقم الانضمام: | edsarx.1902.02783 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |