Cross-Lingual Linking of News Stories using ESA

In this paper, we describe our approach for Cross-Lingual linking of Indian news stories, submitted for Cross-Lingual Indian News Story Search (CL!NSS) task at FIRE 2012. Our approach consists of two major steps, the reduction of search space by using di�erent features and ranking of the news stories according to their relatedness scores. Our approach uses Wikipedia-based Cross-Lingual Explicit Semantic Analysis (CLESA) to calculate the semantic similarity and relatedness score between two news stories in di�erent languages. We evaluate our approach on CL!NSS dataset, which consists of 50 news stories in English and 50K news stories in Hindi.

Agile user stories enriched with usability

Usability is a critical quality factor. Therefore, like traditional software teams, agile teams have to address usability to properly catch their users experience. There exists an interesting debate in the agile and usability communities about how to achieve this integration. Our aim is to contribute to this debate by discussing the incorporation of particular usability recommendations into user stories, one of the most popular artifacts for communicating agile requirements. In this paper, we explore the implications of usability for both the structure of and the process for defining user stories. We discuss what changes the incorporation of particular usability issues may introduce in a user story. Although our findings require more empirical validation, we think that they are a good starting point for further research on this line.