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NLP and Machine Translation

We research and develop new natural language processing algorithms applicable to information retrieval and machine translation tasks. Our solutions are used in Yandex’s search and translation services, ensuring strong user experience in these and many other products.
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. MalininN. BandY. GalM. GalesA. GanshinG. ChesnokovA. NoskovP. AndreyL. ProkhorenkovaI. ProvilkovV. RainaV. RainaD. RoginskiiM. ShmatovaP. TigasB. Yangel
2021, NeurIPS Datasets and Benchmarks
CrowdSpeech and Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription
N. PavlichenkoI. StelmakhD. Ustalov
2021, NeurIPS Datasets and Benchmarks
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance
C. van NiekerkA. MalininC. GeishauserM. HeckH. LinN. LubisS. FengM. Gasic
2021, EMNLP
SPARQLing Database Queries from Intermediate Question Decompositions
I. SaparinaA. Osokin
2021, EMNLP
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
I. ProvilkovA. Malinin
2021, EMNLP
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