3 citations · 10 across the 6 of their papers we have counts for
6 papers
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing
Necva Bölücü, Burcu Can
Semantic parsing provides a way to extract the semantic structure of a text that could be understood by machines. It is utilized in various NLP applications that require text compr…
Android Security using NLP Techniques: A Review
Sevil Sen, Burcu Can
Android is among the most targeted platform by attackers. While attackers are improving their techniques, traditional solutions based on static and dynamic analysis have been also…
Joint PoS Tagging and Stemming for Agglutinative Languages
Necva Bölücü, Burcu Can
The number of word forms in agglutinative languages is theoretically infinite and this variety in word forms introduces sparsity in many natural language processing tasks. Part-of-…
Building Morphological Chains for Agglutinative Languages
Serkan Ozen, Burcu Can
In this paper, we build morphological chains for agglutinative languages by using a log-linear model for the morphological segmentation task. The model is based on the unsupervised…
A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation
Murathan Kurfalı, Ahmet Üstün, Burcu Can
In this paper, we introduce a trie-structured Bayesian model for unsupervised morphological segmentation. We adopt prior information from different sources in the model. We use neu…
Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets
Burcu Can, Ahmet Üstün, Murathan Kurfalı
Sparsity is one of the major problems in natural language processing. The problem becomes even more severe in agglutinating languages that are highly prone to be inflected. We deal…