Textual information is becoming available in abundance on the web, arising the requirement
of techniques and tools to extract the meaningful information. One of such an important …

Turkish is an agglutinative language with complex morphological structures, therefore using
only word forms is not enough for many computational tasks. In this paper we analyze the …

Named entity recognition (NER) is one of the basic tasks in automatic extraction of
information from natural language texts. In this paper, we describe an automatic rule …

Named Entity Recognition (NER) is an important task in Natural Language Processing, Data
Mining and Information Extraction areas since 1990's. While NER is a succesfully solved …

Günümüzde Web uygulamalarının yaygınlaşmasıyla birlikte bireylerin fikir, düşünce ve
duygularını ifade ettikleri platformların kullanımı büyük bir hızla artmıştır. Bu platformlarda …

Named entity recognition (NER), which provides useful information for many high level NLP
applications and semantic web technologies, is a well-studied topic for most of the …

Stance detection is a subproblem of sentiment analysis where the stance of the author of a
piece of natural language text for a particular target (either explicitly stated in the text or not) …

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

We examine named entity recognition (NER), an essential and commonly used first step in
many natural language processing tasks, including chatbots and language translation. We …

Abstract The task of Named Entity Recognition (NER) is to identify in text predefined units of
information such as person names, organizations and locations. In this work, we address the …