Search Results for author: Olga Kovaleva

Found 8 papers, 1 papers with code

Energy-saving technologies and energy efficiency in the post-pandemic world

no code implementations18 Dec 2023 Wadim Strielkowski, Larisa Gorina, Elena Korneeva, Olga Kovaleva

This paper explores the role of energy-saving technologies and energy efficiency in the post-COVID era.

Down and Across: Introducing Crossword-Solving as a New NLP Benchmark

1 code implementation ACL 2022 Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky

Solving crossword puzzles requires diverse reasoning capabilities, access to a vast amount of knowledge about language and the world, and the ability to satisfy the constraints imposed by the structure of the puzzle.

Natural Language Understanding Open-Domain Question Answering +1

Towards Visual Dialog for Radiology

no code implementations WS 2020 Olga Kovaleva, Chaitanya Shivade, Satyan Kashyap, a, Karina Kanjaria, Joy Wu, Deddeh Ballah, Adam Coy, Alex Karargyris, ros, Yufan Guo, David Beymer Beymer, Anna Rumshisky, V Mukherjee, ana Mukherjee

Using MIMIC-CXR, an openly available database of chest X-ray images, we construct both a synthetic and a real-world dataset and provide baseline scores achieved by state-of-the-art models.

Question Answering Visual Dialog +1

A Primer in BERTology: What we know about how BERT works

no code implementations27 Feb 2020 Anna Rogers, Olga Kovaleva, Anna Rumshisky

Transformer-based models have pushed state of the art in many areas of NLP, but our understanding of what is behind their success is still limited.

Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential

no code implementations WS 2019 Anna Rogers, Olga Kovaleva, Anna Rumshisky

Calls to action on social media are known to be effective means of mobilization in social movements, and a frequent target of censorship.

Revealing the Dark Secrets of BERT

no code implementations IJCNLP 2019 Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky

BERT-based architectures currently give state-of-the-art performance on many NLP tasks, but little is known about the exact mechanisms that contribute to its success.

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