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07/20/2023
Generative Language Models on Nucleotide Sequences of Human Genes
Language models, primarily transformer-based ones, obtained colossal suc...
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03/30/2023
Evaluation of GPT and BERT-based models on identifying protein-protein interactions in biomedical text
Detecting protein-protein interactions (PPIs) is crucial for understandi...
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01/05/2023
Explain to Me: Towards Understanding Privacy Decisions
Privacy assistants help users manage their privacy online. Their tasks c...
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09/02/2022
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
Motivation: The development of novel compounds targeting proteins of int...
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07/24/2022
Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish
In this study, we aim to offer linguistically motivated solutions to res...
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05/13/2022
A Self-aware Personal Assistant for Making Personalized Privacy Decisions
Many software systems, such as online social networks enable users to sh...
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05/09/2022
A Dataset and BERT-based Models for Targeted Sentiment Analysis on Turkish Texts
Targeted Sentiment Analysis aims to extract sentiment towards a particul...
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09/23/2021
Cluster-based Mention Typing for Named Entity Disambiguation
An entity mention in text such as "Washington" may correspond to many di...
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09/10/2021
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
Multi-label text classification is a challenging task because it require...
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10/19/2020
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification
Relation classification is one of the key topics in information extracti...
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09/05/2020
Vapur: A Search Engine to Find Related Protein-Compound Pairs in COVID-19 Literature
Coronavirus Disease of 2019 (COVID-19) created dire consequences globall...
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02/24/2020
Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool
In this paper, we describe our contributions and efforts to develop Turk...
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02/24/2020
A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning
Fully data-driven, deep learning-based models are usually designed as la...
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02/10/2020
Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery
Text-based representations of chemicals and proteins can be thought of a...
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11/02/2018
A chemical language based approach for protein - ligand interaction prediction
Identification of high affinity drug-target interactions (DTI) is a majo...
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10/20/2018
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings
Recently, due to the increasing popularity of social media, the necessit...
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01/30/2018
A novel methodology on distributed representations of proteins using their interacting ligands
The effective representation of proteins is a crucial task that directly...
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01/30/2018