311 citations · 752 across the 16 of their papers we have counts for
17 papers
nach0: Multimodal Natural and Chemical Languages Foundation Model
Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina +8
Large Language Models (LLMs) have substantially driven scientific progress in various domains, and many papers have demonstrated their ability to tackle complex problems with creat…
Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification
Andrey Sakhovskiy, Elena Tutubalina
In this paper, we focus on the classification of tweets as sources of potential signals for adverse drug effects (ADEs) or drug reactions (ADRs). Following the intuition that text…
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
Mark Rofin, Vladislav Mikhailov, Mikhail Florinskiy +5
The development of state-of-the-art systems in different applied areas of machine learning (ML) is driven by benchmarks, which have shaped the paradigm of evaluating generalisation…
RuNNE-2022 Shared Task: Recognizing Nested Named Entities
Ekaterina Artemova, Maxim Zmeev, Natalia Loukachevitch +4
The RuNNE Shared Task approaches the problem of nested named entity recognition. The annotation schema is designed in such a way, that an entity may partially overlap or even be ne…
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura +6
In this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it co…
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer
Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin +1
Concept normalization in free-form texts is a crucial step in every text-mining pipeline. Neural architectures based on Bidirectional Encoder Representations from Transformers (BER…