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10/21/2022
NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities
This paper describes NEREL-BIO – an annotation scheme and corpus of PubM...
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10/21/2022
Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification
In this paper, we focus on the classification of tweets as sources of po...
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10/11/2022
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
The development of state-of-the-art systems in different applied areas o...
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06/24/2022
DetIE: Multilingual Open Information Extraction Inspired by Object Detection
State of the art neural methods for open information extraction (OpenIE)...
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06/03/2022
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
We present the shared task on artificial text detection in Russian, whic...
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05/23/2022
RuNNE-2022 Shared Task: Recognizing Nested Named Entities
The RuNNE Shared Task approaches the problem of nested named entity reco...
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11/25/2021
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet
In this work, we explore the constructive side of online reviews: advice...
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11/24/2021
Selection of pseudo-annotated data for adverse drug reaction classification across drug groups
Automatic monitoring of adverse drug events (ADEs) or reactions (ADRs) i...
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11/22/2021
Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021
Supporting the current trend in the AI community, we propose the AI Jour...
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08/30/2021
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
In this paper, we present NEREL, a Russian dataset for named entity reco...
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01/22/2021
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer
Concept normalization in free-form texts is a crucial step in every text...
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10/29/2020
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain
We show-case an application of information extraction methods, such as n...
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07/01/2020
So What's the Plan? Mining Strategic Planning Documents
In this paper we present a corpus of Russian strategic planning document...
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07/01/2020
So What's the Plan? Mining Strategic Planning Document
In this paper we present a corpus of Russian strategic planning document...
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06/17/2020
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
Deep learning architectures based on self-attention have recently achiev...
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04/07/2020
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews
The Russian Drug Reaction Corpus (RuDReC) is a new partially annotated c...
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12/24/2019
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Recent research has shown the advantages of using autoencoders based on ...
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08/16/2019
CommentsRadar: Dive into Unique Data on All Comments on the Web
We introduce an entity-centric search engineCommentsRadarthatpairs entit...
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07/18/2019
Deep Neural Models for Medical Concept Normalization in User-Generated Texts
In this work, we consider the medical concept normalization problem, i.e...
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01/23/2019
AspeRa: Aspect-based Rating Prediction Model
We propose a novel end-to-end Aspect-based Rating Prediction model (Aspe...
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11/28/2018
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts
In this work, we consider the medical concept normalization problem, i.e...
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12/04/2017
