Treebank is an important resource for both research and application of natural language processing. For Vietnamese, we still lack such kind of corpora. This paper presents up-to-date results of a project for Vietnamese treebank construction. Since Vietnamese is an isolating language and has no word delimiter, there are many ambiguities in sentence analysis. We systematically applied a lot of li...

Information delivery is undergoing profound changes. The established media such as radio, television, and newspapers are faced with a variety of new digital content formats. New dimensions of publishing can be exploited in the case of newspaper production. This paper investigates the changes in the production models of newspaper organizations caused by the introduction of information technology...

This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ranking model is learned was provided by a large online newspaper. The personalized news search ranking model which we have developed takes into account not only document content and metadata, but also data specific to th...

User experience (UX) evaluation is typically based on either open evaluation or predefined measures. In our study, we tested a new UX evaluation method by combining both approaches in a collaborative evaluation. When evaluating a digital newspaper over six weeks, the users were asked to describe the reading experience in their own words on an online platform shared among the test participants. ...

The challenge of an automatic opinion analysis has been the focus of attention in recent years in many domains such as online product review. Especially, in online news articles opinion analysis has good prospects, since newspaper is the most powerful media to disseminate people’s opinions. We introduce a lexical information based approach to this task by exploiting lexical information, based o...

Online news has gradually become an inherent part of many people’s every day life, with the media enabling a social and interactive consumption of news as well. Readers openly express their perspectives and emotions for a current event by commenting news articles. They also form online communities and interact with each other by replying to other users’ comments. Due to their active and signifi...

Many NLP tools are released as programs that include statistical models. Unfortunately, the models do not always match the documents that the tool user is interested in, which forces the user to update the models. In this paper, we investigate model adaptation under the condition that users cannot access the data used in creating the original model. Transfer learning and online learning are inv...

This paper describes the creation of a human-generated corpus of extractive Arabic summaries of a selection of Wikipedia and Arabic newspaper articles using Mechanical Turk—an online workforce. The purpose of this exercise was two-fold. First, it addresses a shortage of relevant data for Arabic natural language processing. Second, it demonstrates the application of Mechanical Turk to the proble...

The paper is about personalization system applications in different kind of settings. The studied systems utilize descriptions of information characteristics to perform content based filtering in order to increase stated business objectives. Data and experiences from action research, covering three different product areas sports retailing, online newspaper and online recruitment sites, are pres...

Digitization and contemporary use of social media platforms is changing how we perceive and use IT, both in organizations and as citizens or consumers. These developments have also transformed and changed many industries, bringing both opportunities and challenges. One industry that was affected by digitization relatively early is the media industry, leading to studies on online journalism, gat...