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Now showing items 101-109 of 109
A hybrid approach to dynamic enterprise data platform
(Institute of Electrical and Electronics Engineers Inc., 2019-12-12)
Today, corporations aim to make maximum use of the data produced in business applications. One of the most important goals is to convert the data to the commercial benefit in the fastest way. For this purpose, it is critical ...
TRopBank: Turkish PropBank V2.0
(European Language Resources Association (ELRA), 2020-05-16)
In this paper, we present and explain TRopBank “Turkish PropBank v2.0”. PropBank is a hand-annotated corpus of propositions which is used to obtain the predicate-argument information of a language. Predicate-argument ...
Visual modeling of Turkish morphology
(European Language Resources Association (ELRA), 2020-05-16)
In this paper, we describe the steps in a visual modeling of Turkish morphology using diagramming tools. We aimed to make modeling easier and more maintainable while automating much of the code generation. We released the ...
Hierarchical b-Matching
(Springer Science and Business Media Deutschland GmbH, 2021)
A matching of a graph is a subset of edges no two of which share a common vertex, and a maximum matching is a matching of maximum cardinality. In a b-matching every vertex v has an associated bound bv, and a maximum ...
BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopes
(Association for Computational Linguistics (ACL), 2019-11-04)
This paper presents our participation at the Bacteria Biotope Task of the BioNLP Shared Task 2019. Our participation includes two systems for the two subtasks of the Bacteria Biotope Task: the normalization of entities ...
Categorization of the models based on structural information extraction and machine learning
(Springer Science and Business Media Deutschland GmbH, 2022-07-21)
As various engineering fields increasingly use modelling techniques, the number of provided models, their size, and their structural complexity increase. This makes model management, including finding these models, with ...
ISIKUN at the FinCausal 2020: Linguistically informed machine-learning approach for causality identification in financial documents
(Association for Computational Linguistics (ACL), 2020)
This paper presents our participation to the FinCausal-2020 Shared Task whose ultimate aim is to extract cause-effect relations from a given financial text. Our participation includes two systems for the two sub-tasks of ...
Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis
(IEEE, 2021-09-17)
Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal ...
Tweet sentiment analysis for cryptocurrencies
(IEEE, 2021-10-13)
Many traders believe in and use Twitter tweets to guide their daily cryptocurrency trading. In this project, we investigated the feasibility of automated sentiment analysis for cryptocurrencies. For the study, we targeted ...