Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference

Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan

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

ملخص

We present InferBert, a method to enhance transformer-based inference models with relevant relational knowledge. Our approach facilitates learning generic inference patterns requiring relational knowledge (e.g. inferences related to hypernymy) during training, while injecting on-demand the relevant relational facts (e.g. pangolin is an animal) at test time. We apply InferBERT to the NLI task over a diverse set of inference types (hypernymy, location, color, and country of origin), for which we collected challenge datasets. In this setting, InferBert succeeds to learn general inference patterns, from a relatively small number of training instances, while not hurting performance on the original NLI data and substantially outperforming prior knowledge enhancement models on the challenge data. It further applies its inferences successfully at test time to previously unobserved entities. InferBert is computationally more efficient than most prior methods, in terms of number of parameters, memory consumption and training time.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيف*SEM 2021 - 10th Conference on Lexical and Computational Semantics, Proceedings of the Conference
المحررونLun-Wei Ku, Vivi Nastase, Ivan Vulic
ناشرAssociation for Computational Linguistics (ACL)
الصفحات89-98
عدد الصفحات10
رقم المعيار الدولي للكتب (الإلكتروني)9781954085770
حالة النشرنُشِر - 2021
الحدث10th Conference on Lexical and Computational Semantics, *SEM 2021 - Virtual, Bangkok, تايلند
المدة: ٥ أغسطس ٢٠٢١٦ أغسطس ٢٠٢١

سلسلة المنشورات

الاسم*SEM 2021 - 10th Conference on Lexical and Computational Semantics, Proceedings of the Conference

!!Conference

!!Conference10th Conference on Lexical and Computational Semantics, *SEM 2021
الدولة/الإقليمتايلند
المدينةVirtual, Bangkok
المدة٥/٠٨/٢١٦/٠٨/٢١

All Science Journal Classification (ASJC) codes

  • !!Computational Theory and Mathematics
  • !!Computer Networks and Communications
  • !!Computer Science Applications
  • !!Information Systems
  • !!Theoretical Computer Science

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