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arXiv · 2110.03727

Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports

Dan Hirlea·Christopher Bryant·Maurizio Zollo·Marek Rei
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Abstract

We introduce the novel task of detecting sustainability initiatives in company reports. Given a full report, the aim is to automatically identify mentions of practical activities that a company has performed in order to tackle specific societal issues. New methods for identifying continuous sentence spans need to be developed for capturing the multi-sentence structure of individual sustainability initiatives. We release a new dataset of company reports in which the text has been manually annotated with sustainability initiatives. We also evaluate different models for initiative detection, introducing a novel aggregation and evaluation methodology. Our proposed architecture uses sequences of consecutive sentences to account for contextual information when making classification decisions at the individual sentence level.

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Dan Hirlea, Christopher Bryant, Maurizio Zollo, Marek Rei. 2021-10-07. Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports. https://arxiv.org/abs/2110.03727

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