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Knowledge Distillation for Semantic Similarity Task

Student: Bakshandaeva Daria

Supervisor: Svetlana Toldova

Faculty: Faculty of Humanities

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2020

The paper explores the feasibility of improving the performance of representation-based model with the help of interaction-based model through knowledge distillation. The pipeline is tested on two tasks: paraphrase identification and dialog response prediction.

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