Işık Yazarı "Ercan, Gökhan" 1- Fakülteler | Faculties İçin Listeleme
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All-words word sense disambiguation for Turkish
Açıkgöz, Onur; Gürkan, Ali Tunca; Ertopçu, Burak; Topsakal, Ozan; Özenç, Berke; Kanburoğlu, Ali Buğra; Çam, İlker; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay Taner (IEEE, 2017)Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the ... -
AnlamVer: Semantic model evaluation dataset for Turkish - word similarity and relatedness
Ercan, Gökhan; Yıldız, Olcay Taner (Association for Computational Linguistics (ACL), 2018-08-26)In this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from each other. Our ... -
A multilayer annotated corpus for Turkish
Yıldız, Olcay Taner; Ak, Koray; Ercan, Gökhan; Topsakal, Ozan; Asmazoğlu, Cengiz (IEEE, 2018-06-06)In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated ... -
A new approach for named entity recognition
Ertopçu, Burak; Kanburoğlu, Ali Buğra; Topsakal, Ozan; Açıkgöz, Onur; Gürkan, Ali Tunca; Özenç, Berke; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay Taner; Çam, İlker (IEEE, 2017)Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP ... -
An open, extendible, and fast Turkish morphological analyzer
Yıldız, Olcay Taner; Avar, Begüm; Ercan, Gökhan (Incoma Ltd, 2019-09)In this paper, we present a two-level morphological analyzer for Turkish which consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, and LRU cache. We use ... -
Shallow parsing in Turkish
Topsakal, Ozan; Açıkgöz, Onur; Gürkan, Ali Tunca; Kanburoğlu, Ali Buğra; Ertopçu, Burak; Özenç, Berke; Çam, İlker; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay Taner (IEEE, 2017)In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish. -
Türkçe anlamsal söylem ve cümle benzerliği analizleri için veri kümesi oluşturma yöntemi
Ercan, Gökhan; Erkek, Orçun; Açıkgöz, Onur; Özçelik, Rıza; Parlar, Selen; Yıldız, Olcay Taner (IEEE, 2018-12-06)Çalışmamızın amacı Türkçe için paragraf-cümle düzeyinde anlamsal söylem analizi ve paragraf-cümle ve cümle-cümle düzeyinde metinsel benzerlik ölçümlemesi için bir veri kümesi hazırlamaktır.