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Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Pyserini is an easy-to-use Python toolkit that supports replicable IR re...
02/19/2021 ∙ by Jimmy Lin, et al. ∙
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Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Most galaxies in the nearby Universe are gravitationally bound to a clus...
12/04/2020 ∙ by Gongbo Liang, et al. ∙
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Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
We present an approach to ranking with dense representations that applie...
10/22/2020 ∙ by Sheng-Chieh Lin, et al. ∙
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Personalized TV Recommendation: Fusing User Behavior and Preferences
In this paper, we propose a two-stage ranking approach for recommending ...
08/30/2020 ∙ by Sheng-Chieh Lin, et al. ∙
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Query Reformulation using Query History for Passage Retrieval in Conversational Search
Passage retrieval in a conversational context is essential for many down...
05/05/2020 ∙ by Sheng-Chieh Lin, et al. ∙
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Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
This paper presents an empirical study of conversational question reform...
04/04/2020 ∙ by Sheng-Chieh Lin, et al. ∙
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TTTTTackling WinoGrande Schemas
We applied the T5 sequence-to-sequence model to tackle the AI2 WinoGrand...
03/18/2020 ∙ by Sheng-Chieh Lin, et al. ∙
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