Search Results for author: Rishi Verma

Found 2 papers, 0 papers with code

Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility

no code implementations SemEval (NAACL) 2022 Thomas Yim, Junha Lee, Rishi Verma, Scott Hickmann, Annie Zhu, Camron Sallade, Ian Ng, Ryan Chi, Patrick Liu

In this paper, we detail the methods we used to determine the idiomaticity and plausibility of candidate words or phrases into an instructional text as part of the SemEval Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts.

Time Series Comparisons in Deep Space Network

no code implementations2 Nov 2021 Kyongsik Yun, Rishi Verma, Umaa Rebbapragada

It is recognized that it would be quite helpful to identify 10 similar historical tracks out of the huge database to quickly find and match anomalies.

Time Series Time Series Analysis

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