Ara
Toplam kayıt 168, listelenen: 161-168
English-Turkish parallel semantic annotation of Penn-Treebank
(Oficyna Wydawnicza Politechniki Wroclawskiej, 2020)
This paper reports our efforts in constructing a sense-labeled English-Turkish parallel corpus using the traditional method of manual tagging. We tagged a pre-built parallel treebank which was translated from the Penn ...
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 ...
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 ...
Comparing sense categorization between English propbank and english wordnet
(Oficyna Wydawnicza Politechniki Wroclawskiej, 2020)
Given the fact that verbs play a crucial role in language comprehension, this paper presents a study which compares the verb senses in English PropBank with the ones in English WordNet through manual tagging. After analyzing ...
On building the largest and cross-linguistic Turkish dependency corpus
(Institute of Electrical and Electronics Engineers Inc., 2020-10-15)
In this paper, we aim to introduce the dependency annotation process of the largest and the only cross-linguistic Turkish dependency treebank which was translated from the original Penn Treebank corpus. Within the scope ...
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 ...
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
(Springer, 2022-03)
Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ...
On the maximum cardinality cut problem in proper interval graphs and related graph classes
(Elsevier B.V., 2022-01-04)
Although it has been claimed in two different papers that the maximum cardinality cut problem is polynomial-time solvable for proper interval graphs, both of them turned out to be erroneous. In this work we consider the ...