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Toplam kayıt 109, listelenen: 101-109
Problems caused by semantic drift in WordNet synset construction
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
In this study, we summarize the semantic drift problem that occur in specific synsets of KeNet, a Turkish WordNet, which is caused by mis-merging of semantically-related lexical items, morphological markings and false part ...
Creating a syntactically felicitous constituency treebank for Turkish
(Institute of Electrical and Electronics Engineers Inc., 2020-10-15)
In this study, Bakay et. al [1] and Yildiz et. al.'s [2] work on Turkish constituency treebanks were developed further. Compared to the previous work, the most prominent feature of this study is the fact that every annotation ...
A FST description of noun and verb morphology of Azarbaijani Turkish
(Association for Computational Linguistics (ACL), 2021)
We give a FST description of nominal and finite verb morphology of Azarbaijani Turkish. We use a hybrid approach where nominal inflection is expressed as a slot-based paradigm and major parts of verb inflection are expressed ...
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 ...