Social media like Twitter who serves as a novel news medium and has become increasingly popular since its establishment. Large scale first-hand user-generated tweets motivate automatic event detection on Twitter. Prev...Social media like Twitter who serves as a novel news medium and has become increasingly popular since its establishment. Large scale first-hand user-generated tweets motivate automatic event detection on Twitter. Previous unsupervised approaches detected events by clustering words. These methods detect events using burstiness,which measures surging frequencies of words at certain time windows. However,event clusters represented by a set of individual words are difficult to understand. This issue is addressed by building a document-level event detection model that directly calculates the burstiness of tweets,leveraging distributed word representations for modeling semantic information,thereby avoiding sparsity. Results show that the document-level model not only offers event summaries that are directly human-readable,but also gives significantly improved accuracies compared to previous methods on unsupervised tweet event detection,which are based on words/segments.展开更多
This paper reviews children-voice studies in China's Mainland over the past 10 years in the context of the globalisation era. The traditional grand narrative in the field of contemporary education research in Chin...This paper reviews children-voice studies in China's Mainland over the past 10 years in the context of the globalisation era. The traditional grand narrative in the field of contemporary education research in China has been challenged by individual recounts and by concemsregarding the situation in the classroom, which is reflected in the children-voice studies conducted by young researchers. The paper begins with background regarding society, culture, and schooling, continues on to describe related studies in this field, and ends with a rethinking of current research. The conclusion is that the studies were hampered both by an inherited culture of inertia and cynicism towards students＇ voices and by a dysfunction in research methodology.展开更多
基金Supported by the National High Technology Research and Development Programme of China(No.2015AA015405)
文摘Social media like Twitter who serves as a novel news medium and has become increasingly popular since its establishment. Large scale first-hand user-generated tweets motivate automatic event detection on Twitter. Previous unsupervised approaches detected events by clustering words. These methods detect events using burstiness,which measures surging frequencies of words at certain time windows. However,event clusters represented by a set of individual words are difficult to understand. This issue is addressed by building a document-level event detection model that directly calculates the burstiness of tweets,leveraging distributed word representations for modeling semantic information,thereby avoiding sparsity. Results show that the document-level model not only offers event summaries that are directly human-readable,but also gives significantly improved accuracies compared to previous methods on unsupervised tweet event detection,which are based on words/segments.
文摘This paper reviews children-voice studies in China's Mainland over the past 10 years in the context of the globalisation era. The traditional grand narrative in the field of contemporary education research in China has been challenged by individual recounts and by concemsregarding the situation in the classroom, which is reflected in the children-voice studies conducted by young researchers. The paper begins with background regarding society, culture, and schooling, continues on to describe related studies in this field, and ends with a rethinking of current research. The conclusion is that the studies were hampered both by an inherited culture of inertia and cynicism towards students＇ voices and by a dysfunction in research methodology.
