in the west, translation studies as a discipline has a very short but lively history. founded in the early 1970s in the low countries—holland and belgium—translation studies is a fairly new field. yet, today some theorists suggest that the discipline is too limited to translated texts and excludes much translation data being generated from other fields of inquiry, including theater, art, archit...

In the West, Translation Studies as a discipline has a very short but lively history. Founded in the early 1970s in the Low Countries—Holland and Belgium—translation studies is a fairly new field. Yet, today some theorists suggest that the discipline is too limited to translated texts and excludes much translation data being generated from other fields of inquiry, including theater, art, archit...

Playlist generation is an important task in music information retrieval. While previous work has treated a playlist collection as an undifferentiated whole, we propose to build playlist models which are tuned to specific categories or dialects of playlists. Toward this end, we develop a general class of flexible and scalable playlist models based upon hypergraph random walks. To evaluate the pr...

Psychological studies have shown that personality traits are associated with book preferences. However, past findings are based on questionnaires focusing on conventional book genres and are unrepresentative of niche content. For a more comprehensive measure of book content, this study harnesses a massive archive of content labels, also known as ‘tags’, created by users of an online book catalo...

Social tags offer a novel aspect to study learning resources, its metadata and how users interact with them. This paper investigates the impact of social tagging on the discovery of digital learning resources in a multilingual context. The main hypothesis is that the self-organisation aspect of a social tagging system helps users discover learning resources more efficiently and that the user-ge...

Research on the desktop search has been constrained by the lack of reusable test collections. This led to a high entry barrier for new researchers and difficulty in the comparative evaluation of existing methods. To address this point, we introduce a method for creating reusable pseudo-desktop collections by gathering documents and generating queries that have similar characteristics to actual ...

We describe an approach to facilitating user-generated content within the context of Wikipedia. Our approach, embedded in the IntelWiki prototype, aims to make it easier for users to create or enhance the free-form text in Wikipedia articles by: i) recommending potential reference materials, ii) drawing the users’ attention to key aspects of the recommendations, and iii) allowing users to consu...

Podcasts display an unevenness characteristic of domains dominated by user generated content, resulting in potentially radical variation of the user preference they enjoy. We report on work that uses easily extractable surface features of podcasts in order to achieve solid performance on two podcast preference prediction tasks: classification of preferred vs. non-preferred podcasts and ranking ...

Existing timeline generation systems for complex events consider only information from traditional media, ignoring the rich social context provided by user-generated content that reveals representative public interests or insightful opinions. We instead aim to generate socially-informed timelines that contain both news article summaries and selected user comments. We present an optimization fra...