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        <title>Reading between the Lines: Information Extraction from Industry Requirements</title>
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            <title>Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing</title>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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    <abstract>Industry requirements describe the qualities that a project or a service must provide. Most requirements are, however, only available in natural language format and are embedded in textual documents. To be machine-understandable, a requirement needs to be represented in a logical format. We consider that a requirement consists of a scope, which is the requirement’s subject matter, a condition, which is any condition that must be fulfilled for the requirement to be relevant, and a demand, which is what is required. We introduce a novel task, the identification of the semantic components scope, condition, and demand in a requirement sentence, and establish baselines using sequence labelling and few-shot learning. One major challenge with this task is the implicit nature of the scope, often not stated in the sentence. By including document context information, we improved the average performance for scope detection. Our study provides insights into the difficulty of machine understanding of industry requirements and suggests strategies for addressing this challenge.</abstract>
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%0 Conference Proceedings
%T Reading between the Lines: Information Extraction from Industry Requirements
%A Holter, Ole Magnus
%A Ell, Basil
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F holter-ell-2023-reading
%X Industry requirements describe the qualities that a project or a service must provide. Most requirements are, however, only available in natural language format and are embedded in textual documents. To be machine-understandable, a requirement needs to be represented in a logical format. We consider that a requirement consists of a scope, which is the requirement’s subject matter, a condition, which is any condition that must be fulfilled for the requirement to be relevant, and a demand, which is what is required. We introduce a novel task, the identification of the semantic components scope, condition, and demand in a requirement sentence, and establish baselines using sequence labelling and few-shot learning. One major challenge with this task is the implicit nature of the scope, often not stated in the sentence. By including document context information, we improved the average performance for scope detection. Our study provides insights into the difficulty of machine understanding of industry requirements and suggests strategies for addressing this challenge.
%U https://aclanthology.org/2023.ranlp-1.76
%P 703-711

Markdown (Informal)

[Reading between the Lines: Information Extraction from Industry Requirements](https://aclanthology.org/2023.ranlp-1.76) (Holter & Ell, RANLP 2023)

• Reading between the Lines: Information Extraction from Industry Requirements (Holter & Ell, RANLP 2023)

ACL

• Ole Magnus Holter and Basil Ell. 2023. Reading between the Lines: Information Extraction from Industry Requirements. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 703–711, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.