The Perseus Project at Tufts University produces tools to enhance the study of humanities texts. Perseus’ new named-entity browser lets users browse an index of references to pe...
Many sequence labeling tasks in NLP require solving a cascade of segmentation and tagging subtasks, such as Chinese POS tagging, named entity recognition, and so on. Traditional p...
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
In digital humanities projects, particularly for historical research and cultural heritage, GIS has played an increasingly important role. However, most implementations have conce...
Fredric C. Gey, Ryan Shaw, Ray R. Larson, Barry Pa...
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...