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Found 6 papers, 1 papers with code
Towards a contextualised spatial-diachronic history of literature: mapping emotional representations of the city and the country in Polish fiction from 1864 to 1939
In this article, we discuss the conditions surrounding the building of historical and literary corpora.
Geometric Deep Learning Models for Linking Character Names in Novels
The paper investigates the impact of using geometric deep learning models on the performance of a character name linking system.
Two Approaches to Diachronic Normalization of Polish Texts
This paper discusses two approaches to the diachronic normalization of Polish texts: a rule-based solution that relies on a set of handcrafted patterns, and a neural normalization model based on the text-to-text transfer transformer architecture.
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
This paper proposes a method for investigating the impact of speech recognition errors on the performance of natural language understanding models.
Open Challenge for Correcting Errors of Speech Recognition Systems
The paper announces the new long-term challenge for improving the performance of automatic speech recognition systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development
The paper describes a system for end-user development using natural language.
