Liliya Akhtyamova

Orcid: 0000-0003-4338-1483

According to our database1, Liliya Akhtyamova authored at least 12 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Offensive Language Recognition in Social Media.
Computación y Sistemas, 2020

Testing Contextualized Word Embeddings to Improve NER in Spanish Clinical Case Narratives.
IEEE Access, 2020

LM-Based Word Embeddings Improve Biomedical Named Entity Recognition: A Detailed Analysis.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Named Entity Recognition in Spanish Biomedical Literature: Short Review and Bert Model.
Proceedings of the 26th Conference of Open Innovations Association, 2020

2018
Extracting Drug-Drug Interactions with Character-Level and Dependency-Based Embeddings.
Proceedings of the 2018 Text Analysis Conference, 2018

Building Classifiers with GMDH for Health Social Networks (DB AskaPatient).
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

Opinion Mining on Small and Noisy Samples of Health-Related Texts.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

2017
A Large-Scale CNN Ensemble for Medication Safety Analysis.
Proceedings of the Natural Language Processing and Information Systems, 2017

Cross-genre Gender Identification in Russian Texts Using Topic Modeling Working Note: Team DUBL.
Proceedings of the Working notes of FIRE 2017, 2017

Adverse Drug Extraction in Twitter Data Using Convolutional Neural Network.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

Review of trends in health social media analysis.
Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

Twitter Author Profiling Using Word Embeddings and Logistic Regression.
Proceedings of the Working Notes of CLEF 2017, 2017


  Loading...