Search Results for author: Sonja Horn

Found 2 papers, 2 papers with code

Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data

1 code implementation19 Aug 2022 Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren

Investment professionals rely on extrapolating company revenue into the future (i. e. revenue forecast) to approximate the valuation of scaleups (private companies in a high-growth stage) and inform their investment decision.

Time Series Time Series Analysis

PAUSE: Positive and Annealed Unlabeled Sentence Embedding

1 code implementation EMNLP 2021 Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn

Sentence embedding refers to a set of effective and versatile techniques for converting raw text into numerical vector representations that can be used in a wide range of natural language processing (NLP) applications.

Sentence Sentence Embedding +1

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