This paper presents an approach for author profiling of an unknown users from their texts produced in social media. In particular, we address the identification of two profile dimensions: gender and language variety, of Arabic twitter users based on their tweets. Our approach focused on applying metaclassification technique on features extracted from tweets body. We explored two main sets of fe...

In this paper we present a simple approach to discover gender and animacy knowledge for person mention detection. We learn noun-gender and noun-animacy pair counts from web-scale n-grams using specific lexical patterns, and then apply confidence estimation metrics to filter noise. The selected informative pairs are then used to detect person mentions from raw texts in an unsupervised learning f...

The task of gender and age classification based on texts and facial images has been studied extensively in the natural language processing community and the computer vision community respectively. Machine learning algorithms are particularly relevant in solving such classification problems. In the final project for CIS520 Machine Learning, we are presented with the task of gender and age classi...

Hildegard of Bingen (1098–1179) is one of the most influential female authors of the Middle Ages. From the point of view of computational stylistics, the oeuvre attributed to Hildegard is fascinating. Hildegard dictated her texts to secretaries in Latin, a language of which she did not master all grammatical subtleties. She therefore allowed her scribes to correct her spelling and grammar. Espe...

Computerizing mathematical texts to allow software access to some or all of the texts’ semantic content is a long and tedious process that currently requires much expertise. We believe it is useful to support computerization that adds some structural and semantic information, but does not require jumping directly from the word-processing level (e.g., LTEX) to full formalization (e.g., Mizar, Co...

Paper proposes an approach aimed at question oriented searching of information in texts. Texts are parsed, keywords and extra features questions marked, sentences text with the most relevant to defined. Proposed is applied Cyrillic Latin languages. Case study illustrates how obtain answers about Bulgarian fairytale that represented on different languages (Bulgarian English). Evaluation proposed...