Initial Explorations on using CRFs for Turkish Named Entity Recognition

A Twitter Corpus for Named Entity Recognition in Turkish

This paper introduces a new Turkish Twitter Named Entity Recognition dataset. The dataset, which consists of 5000 tweets from a year-long period, was labeled by multiple annotators with a high agreement score. The datase…

Turkish Named Entity Recognition: A Survey and Comparative Analysis

Named entity recognition is a challenging task that has been widely studied in English. Although there are some efforts for named entity recognition in Turkish language, the reported results are limited to particular dat…

Initial Explorations in Two-phase Turkish Dependency Parsing by Incorporating Constituents

Experiments to Improve Named Entity Recognition on Turkish Tweets

Social media texts are significant information sources for several application areas including trend analysis, event monitoring, and opinion mining. Unfortunately, existing solutions for tasks such as named entity recogn…

Named Entity Recognition on Turkish Tweets

Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets. The only existing study for the highly inflected…