no code implementations • 31 May 2020 • Ozge Sevgili, Artem Shelmanov, Mikhail Arkhipov, Alexander Panchenko, Chris Biemann
This survey presents a comprehensive description of recent neural entity linking (EL) systems developed since 2015 as a result of the "deep learning revolution" in natural language processing.
1 code implementation • WS 2019 • Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, Alexey Sorokin
Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.
Multilingual Named Entity Recognition named-entity-recognition +3
2 code implementations • 17 May 2019 • Yuri Kuratov, Mikhail Arkhipov
This work shows that transfer learning from a multilingual model to monolingual model results in significant growth of performance on such tasks as reading comprehension, paraphrase detection, and sentiment analysis.
Ranked #1 on Question Answering on SQuAD1.1 (Hardware Burden metric)
1 code implementation • Conference: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing 2019 • Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, Alexey Sorokin
Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.
Multilingual Named Entity Recognition named-entity-recognition +3
no code implementations • ACL 2018 • Mikhail Burtsev, Alex Seliverstov, er, Rafael Airapetyan, Mikhail Arkhipov, Dilyara Baymurzina, Nickolay Bushkov, Olga Gureenkova, Taras Khakhulin, Yuri Kuratov, Denis Kuznetsov, Alexey Litinsky, Varvara Logacheva, Alexey Lymar, Valentin Malykh, Maxim Petrov, Vadim Polulyakh, Leonid Pugachev, Alexey Sorokin, Maria Vikhreva, Marat Zaynutdinov
It supports modular as well as end-to-end approaches to implementation of conversational agents.