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        <title>A Data-Driven Semi-Automatic Framenet Development Methodology</title>
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    <abstract>FrameNet is a lexical semantic resource based on the linguistic theory of frame semantics. A number of framenet development strategies have been reported previously and all of them involve exploration of corpora and a fair amount of manual work. Despite previous efforts, there does not exist a well-thought-out automatic/semi-automatic methodology for frame construction. In this paper we propose a data-driven methodology for identification and semi-automatic construction of frames. As a proof of concept, we report on our initial attempts to build a wider-scale framenet for the legal domain (LawFN) using the proposed methodology. The constructed frames are stored in a lexical database and together with the annotated example sentences they have been made available through a web interface.</abstract>
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%0 Conference Proceedings
%T A Data-Driven Semi-Automatic Framenet Development Methodology
%A Virk, Shafqat Mumtaz
%A Dannélls, Dana
%A Borin, Lars
%A Forsberg, Markus
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 sep
%I INCOMA Ltd.
%C Held Online
%F virk-etal-2021-data
%X FrameNet is a lexical semantic resource based on the linguistic theory of frame semantics. A number of framenet development strategies have been reported previously and all of them involve exploration of corpora and a fair amount of manual work. Despite previous efforts, there does not exist a well-thought-out automatic/semi-automatic methodology for frame construction. In this paper we propose a data-driven methodology for identification and semi-automatic construction of frames. As a proof of concept, we report on our initial attempts to build a wider-scale framenet for the legal domain (LawFN) using the proposed methodology. The constructed frames are stored in a lexical database and together with the annotated example sentences they have been made available through a web interface.
%U https://aclanthology.org/2021.ranlp-1.165
%P 1471-1479

Markdown (Informal)

[A Data-Driven Semi-Automatic Framenet Development Methodology](https://aclanthology.org/2021.ranlp-1.165) (Virk et al., RANLP 2021)

• A Data-Driven Semi-Automatic Framenet Development Methodology (Virk et al., RANLP 2021)

ACL

• Shafqat Mumtaz Virk, Dana Dannélls, Lars Borin, and Markus Forsberg. 2021. A Data-Driven Semi-Automatic Framenet Development Methodology. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 1471–1479, Held Online. INCOMA Ltd..