@inProceedings{Virk-Shafqat2021-306964,
title = {A Data-Driven Semi-Automatic Framenet Development Methodology },
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.},
booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing, 1–3 September, 2021 / Edited by Galia Angelova, Maria Kunilovskaya, Ruslan Mitkov, Ivelina Nikolova-Koleva},
author = {Virk, Shafqat and Dannélls, Dana and Borin, Lars and Forsberg, Markus},
year = {2021},
publisher = {INCOMA},
address = {Shoumen, Bulgaria},
ISBN = {978-954-452-072-4},
}