Joseph the MoUSE : Mouse Ultrasonic Sound Explorer

Joseph the MoUSE — Mouse Ultrasonic Sound Explorer (MoUSE) software aims to address the issue of manual analysis of recordings from experiments on rodents by introducing automatic techniques for ultrasonic vocalization (USV) detection. It combines deep learning (DL) methods with classical pattern recognition and computer graphics algorithms. During development, we used a dataset that consisted of recordings from real-world experiments in the open field. Recordings like these pose obstacles to automatic USV detection, one of which is the noise produced by mice in the experimental area or in nearby cages. Therefore, additionally, we conducted research and implemented de-noising methods along with detection algorithms. The project includes Python packages with algorithms for sound noise removal and USV detection, and provides a user-friendly graphical interface

Punctuation restoration with transformers

This paper presents a contribution to PolEval 2021 Task 1: Punctuation restoration from read text. The system was scored first and achieved 81.29% weighted F1

Answering Polish Trivia Questions with the help of dense passage retriever

This paper discusses the problem of Question answering using Dense Passage Retriever in Task 4 during 2021 edition of PolEval. Our goal was to show the process of automatic answering trivia questions using language models and Wikipedia database. The best solution created by the authors utilized Dense Passage Retrieval approach for extractive question answering combined with Natural Language Inference for boolean questions. The training data for document retrieval and extractive question answering were obtained by employing distant supervision. The obtained solution reached 50.96% accurracy giving second place in the competition