We consider the clone detection and information retrieval problems for s...
Code search is an important task that has seen many developments in rece...
State of the art neural methods for open information extraction (OpenIE)...
The recent advances in transfer learning techniques and pre-training of ...
Cross-lingual summarization (CLS) is the task to produce a summary in on...
In the last year, new neural architectures and multilingual pre-trained
...
Sub-tasks of intent classification, such as robustness to distribution s...
The new generation of pre-trained NLP models push the SOTA to the new li...
In this paper, we introduce an advanced Russian general language
underst...
Deep learning architectures based on self-attention have recently achiev...
The Russian Drug Reaction Corpus (RuDReC) is a new partially annotated c...
Recent research has shown the advantages of using autoencoders based on ...
We describe the setting and results of the ConvAI2 NeurIPS competition t...
We propose a novel end-to-end Aspect-based Rating Prediction model (Aspe...
Headline generation is a special type of text summarization task. While ...
In this work, we consider the medical concept normalization problem, i.e...