PPT-Semi-supervised methods of text processing, and an applicat

Yacine Jernite TextasData series September 17 2015 What do we want from text Extract information Link to other knowledge sources Use knowledge Wikipedia UpToDate How do we answer those questions. A Framework for Architectural Guidance Development. Mohsen . Anvaari. Norwegian University of Science and . Technology. Trondheim, . Norway. mohsena@idi.ntnu.no. . Olaf . Zimmermann. University of Applied Sciences of Eastern Switzerland . Low-Resource Languages. Dan . Garrette. , Jason . Mielens. , and Jason . Baldridge. Proceedings of ACL 2013. Semi-Supervised Training. HMM with Expectation-Maximization (EM). Need:. Large . raw. corpus. John Blitzer. 自然语言计算组. http://research.microsoft.com/asia/group/nlc/. Why should I know about machine learning? . This is an NLP summer school. Why should I care about machine learning?. Introductions . Name. Department/Program. If research, what are you working on.. Your favorite fruit.. How do you estimate P(. y|x. ) . Types of Learning. Supervised Learning. Unsupervised Learning. Semi-supervised Learning. (in tiny space). Giuseppe . Ottaviano. Roberto . Grossi. (. Università. di Pisa). {"timestamp": "2006-04-03 21:31:35", "user": "1578922", "query": ". londn. news"}. {". timestamp": "2006-04-08 14:09:27", "user": "18214495", "query": "craigslist. The glue that helps hold sentences together. COLON-IZING Your Writing. A . colons are used . to introduce . more . information about something mentioned earlier in the sentence. . Shannon brought one thing: a stethoscope.. Introduction. Labelled data. Unlabeled data. cat. dog. (Image of cats and dogs without labeling). Introduction. Supervised learning: . E.g. . : image, . : class. . labels. Semi-supervised learning: . HEADLINE. Body. text,. body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text, body text. Omer Levy. . Ido. Dagan. Bar-. Ilan. University. Israel. Steffen Remus Chris . Biemann. Technische. . Universität. Darmstadt. Germany. Lexical Inference. Lexical Inference: Task Definition. Definition:. Suspension system: a mechanical system of springs and shock absorbers . that connect . the wheels and axles to the chassis of a wheeled vehicle. The Function of suspension system:. The job of a car . Andrea . Bertozzi. University of California, Los Angeles. Diffuse interface methods. Ginzburg-Landau functional. Total variation. W is a double well potential with two minima. Total variation measures length of boundary between two constant regions.. 12019According to Family Code Section 3200 all providers of supervised visitation mustoperate their programs in compliance with the Uniform Standards of Practice for Providers of Supervised Visitation Follow. up - . months. Symptom. . Burden. Score. Abed . et al. ., JAMA 2013. AF symptom . severity. after . a supervised weight loss program and in a control group . Follow. up - . months. Symptom. with Incomplete Class Hierarchies. Bhavana Dalvi. , Aditya Mishra, William W. Cohen. Semi-supervised Entity Classification. 2. Semi-supervised Entity Classification. Subset. 3. Disjoint. Semi-supervised Entity Classification.