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Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports

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arxiv 2110.03727 v2 pith:IHT4PJ3R submitted 2021-10-07 cs.CL cs.AIcs.LGcs.NE

Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports

classification cs.CL cs.AIcs.LGcs.NE
keywords companyinitiativessustainabilityreportssentenceclassificationcontextualdetecting
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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