no code implementations • NoDaLiDa 2021 • Saga Hansson, Konstantinos Mavromatakis, Yvonne Adesam, Gerlof Bouma, Dana Dannélls
The paper discusses the design and creation of the dataset, and presents a small investigation of the supplementary statistics.
no code implementations • RANLP 2021 • Molly Brandt Skelbye, Dana Dannélls
Deep CNN–LSTM hybrid neural networks have proven to improve the accuracy of Optical Character Recognition (OCR) models for different languages.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • RANLP 2021 • Shafqat Mumtaz Virk, Dana Dannélls, Azam Sheikh Muhammad
Post processing is the most conventional approach for correcting errors that are caused by Optical Character Recognition(OCR) systems.
no code implementations • RANLP 2021 • Shafqat Mumtaz Virk, Dana Dannélls, Lars Borin, Markus Forsberg
FrameNet is a lexical semantic resource based on the linguistic theory of frame semantics.
no code implementations • 12 Nov 2015 • Normunds Gruzitis, Dana Dannélls
Berkeley FrameNet is a lexico-semantic resource for English based on the theory of frame semantics.
no code implementations • 10 Jun 2014 • Dana Dannélls, Normunds Grūzītis
This paper presents a currently bilingual but potentially multilingual FrameNet-based grammar library implemented in Grammatical Framework.
no code implementations • 8 Apr 2014 • Dana Dannélls, Normunds Grūzītis
We present the creation of an English-Swedish FrameNet-based grammar in Grammatical Framework.