Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
A profiling adversary is an adversary whose goal is to classify a population of users into categories according to messages they exchange. This adversary models the most common pr...
Aleksandra Korolova, Ayman Farahat, Philippe Golle
In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
Abstract. For many applications such as machine translation and bilingual information retrieval, the bilingual corpora play an important role in training the system. Because they a...
We present recent work in the area of Cross-Domain Dialogue Act (DA) tagging. We have previously reported on the use of a simple dialogue act classifier based on purely intra-utte...