The effect of different writing tasks on linguistic style: A case study of the ROC story cloze task

Roy Schwartz, Maarten Sap, Ioannis Konstas, Li Zilles, Yejin Choi, Noah A. Smith

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

A writer’s style depends not just on personal traits but also on her intent and mental state. In this paper, we show how variants of the same writing task can lead to measurable differences in writing style. We present a case study based on the story cloze task (Mostafazadeh et al., 2016a), where annotators were assigned similar writing tasks with different constraints: (1) writing an entire story, (2) adding a story ending for a given story context, and (3) adding an incoherent ending to a story. We show that a simple linear classifier informed by stylistic features is able to successfully distinguish among the three cases, without even looking at the story context. In addition, combining our stylistic features with language model predictions reaches state of the art performance on the story cloze challenge. Our results demonstrate that different task framings can dramatically affect the way people write.1

اللغة الأصليةإنجليزيّة أمريكيّة
عنوان منشور المضيفCoNLL 2017 - 21st Conference on Computational Natural Language Learning, Proceedings
ناشرAssociation for Computational Linguistics (ACL)
الصفحات15-25
عدد الصفحات11
رقم المعيار الدولي للكتب (الإلكتروني)9781945626548
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2017
منشور خارجيًانعم
الحدث21st Conference on Computational Natural Language Learning, CoNLL 2017 - Vancouver, كندا
المدة: ٣ أغسطس ٢٠١٧٤ أغسطس ٢٠١٧

سلسلة المنشورات

الاسمCoNLL 2017 - 21st Conference on Computational Natural Language Learning, Proceedings

!!Conference

!!Conference21st Conference on Computational Natural Language Learning, CoNLL 2017
الدولة/الإقليمكندا
المدينةVancouver
المدة٣/٠٨/١٧٤/٠٨/١٧

All Science Journal Classification (ASJC) codes

  • !!Linguistics and Language
  • !!Artificial Intelligence
  • !!Human-Computer Interaction

بصمة

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