Over the last two decades, the cultural and cognitive artifacts that information and communication technologies circulate have become entangled with human and technical actors to the point of inseparability. These entanglements are primarily driven by the proliferation and wide adoption of online and mobile technologies. As a result, we discern the migration of previously physical artifacts to ...

Musical obsessions are rare in both clinical practice and literature. A case is presented of a musical obsession which had the additional unique characteristics of acute onset, marked severity, and occurrence as an isolated symptom.

Personal name disambiguation becomes hot as it provides a way to incorporate semantic understanding into information retrieval. In this campaign, we explore Chinese personal name disambiguation in news. In order to examine how well disambiguation technologies work, we concentrate on news articles, which is well-formatted and whose genre is well-studied. We then design a diagnosis test to explor...

Genre classification means to discriminate between documents by means of their form, their style, or their targeted audience. Put another way, genre classification is orthogonal to a classification based on the documents’ contents. While most of the existing investigations of an automated genre classification are based on news articles corpora, the idea here is applied to arbitrary Web pages. W...

To build a robust pitch accent prediction system, we need to understand the effects of speech genre and speaker variation. This paper reports our studies on genre and speaker variation in pitch accent placement and their effects on automatic pitch accent prediction. We find some interesting accentuation pattern differences that can be attributed to speech genre, and a set of textual features th...

We consider methods for training a prosodic classifier using labeled training data from a different genre than the one on which the system will be deployed. Two binary tasks are considered: word-level pitch accent and phrase boundary detection. Using radio news and conversational telephone speech, we consider cross-genre training using acoustic and textual features, and find that acoustic featu...

Mode and genre transformations are main issues in the digital era, especially apparent when news interviews are adapted into written news reports. This paper investigates how interactions in a television news interview are excerpted and adapted into a written news text in newspapers. Through a text analysis of two political interviews in Taiwan on television, and five newspaper reports based on...

We present the PICTOR browser, a visualization designed to facilitate the analysis of quotations about userspecified topics in large collections of news text. PICTOR focuses on quotations because they are a major vehicle of communication in the news genre. It extracts quotes from articles that match a user’s text query, and groups these quotes into “threads” that illustrate the development of s...

This study aims at developing a news surveillance system able to address multilingual web corpora. As an example of a domain where multilingual capacity is crucial, we focus on Epidemic Surveillance. This task necessitates worldwide coverage of news in order to detect new events as quickly as possible, anywhere, whatever the language it is rst reported in. In this study, text-genre is used rath...

Reading of news articles can trigger emotional reactions from its readers. But comparing to other genre of text, news articles that are mainly used to report events, lack emotion linked words and other features for emotion classification. In this paper, we propose an event anchor based method for emotion classification for news articles. Firstly, we build an emotion linked news corpus through c...