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ESG Accountability Made Easy: DocQA at Your Service

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arxiv 2311.18481 v1 pith:NNTLTULZ submitted 2023-11-30 cs.CL cs.AIcs.CV

Lokesh Mishra , Cesar Berrospi , Kasper Dinkla , Diego Antognini , Francesco Fusco , Benedikt Bothur , Maksym Lysak , Nikolaos Livathinos
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Ahmed Nassar Panagiotis Vagenas Lucas Morin Christoph Auer Michele Dolfi Peter Staar
This is my paper · ORCID
classification cs.CLcs.AIcs.CV
keywords deepdocqalanguagesearchaccessedaccountabilityapplicationassistant
verification ladder T0 review T1 audit T2 compute T3 formal
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We present Deep Search DocQA. This application enables information extraction from documents via a question-answering conversational assistant. The system integrates several technologies from different AI disciplines consisting of document conversion to machine-readable format (via computer vision), finding relevant data (via natural language processing), and formulating an eloquent response (via large language models). Users can explore over 10,000 Environmental, Social, and Governance (ESG) disclosure reports from over 2000 corporations. The Deep Search platform can be accessed at: https://ds4sd.github.io.

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