Papers by Ireneusz Gawlik

2 papers
An Application for Building a Polish Telephone Speech Corpus (L18-1)

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Challenge: Specifically, we describe a tool designed to improve our Automatic Speech Recognition system performance.
Approach: They propose to build a tool for speech corpus collection of a specific domain content.
Outcome: The proposed tool can be used to gather 63 hours of speech recordings across several domains and achieve lower WER in two grammar-based speech recognition tasks.
KLEJ: Comprehensive Benchmark for Polish Language Understanding (2020.acl-main)

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Challenge: Recent introduction of robust, general-purpose models for fine-tuning has enabled improvements in general natural language understanding (NLU) but such benchmarks are only available for a handful of languages.
Approach: They propose a multi-task benchmark for the Polish language understanding with an online leaderboard . they also propose GLUE, a task for named entity recognition and sentiment analysis .
Outcome: The proposed model performs best on three out of nine tasks in the Polish language . the proposed model is also used in an e-commerce domain to analyze the sentiments of users .

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