PPT-Text-Based Topic Segmentation

Vaibhav Mallya EECS 767 Radev Agenda Definitions Applications Hearsts TextTiling Probablistic LSA Unsupervised Bayes Discussion Definitions Topic Segmentation Given a single piece of language data how can we effectively divide it into topical chunks. Aviation Safety Data Analysis System. Fangbo Tao, . Xiao Yu, . Jiawei. . Han. 08. /. 1. 0. /. 13. The data we focus:. Huge Collection of Logs. Following . a normal approach and landing to runway 4 in roc; aircraft was taxied clear of the end of runway to the gate .several ground snow removal vehicles were operating to left of aircraft so we moved to the right side of . David Kauchak. cs160. Fall . 2009. Administrative. Hw5/paper review. what . would be useful for the . authors. technical. , refers to not only the results, but the rest of the . paper. give . as many specific examples as . - continuous and discrete approaches . 2 : . Exact . and approximate techniques. . - non-submodular and high-order problems. 3: Multi-region segmentation (Milan). - high-dimensional applications . Learning Targets. Students will be able to unpack a writing prompt. Students . will be able to understand . the connection between unpacking the prompt and establishing a purpose for . reading. Students . ChengXiang. . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. 1. Search is a means to the end of finishing a task . Decision Making. - continuous and discrete approaches . 2 : . Exact . and approximate techniques. . - non-submodular and high-order problems. 3: Multi-region segmentation (Milan). - high-dimensional applications . Kirk Smith . October . 2015. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options. ?. Building a marketing strategy (STP). Some stuff I could buy. David Kauchak. cs458. Fall 2012. Administrative. Schedule. Readings. Lunch today!. HW4 due tomorrow. Attendance. Today’s class. Blend of introductory material and research talk. Problem of topic segmentation. Vaibhav. . Mallya. EECS 767. Radev. Agenda. Definitions. Applications. Hearst’s . TextTiling. Probablistic. LSA. Unsupervised . Bayes. Discussion. Definitions. Topic Segmentation – Given a single piece of language data how can we effectively divide it into topical chunks?. Kirk Smith . Fall . 2017. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options?. Building a marketing strategy (STP). Some stuff I could buy. Article written by Laurence . Likeformann-Sulem. , . Abderrazak. . Zahour. , Bruno . Taconet. (2006). Presenting: . Erez. . Lefel. and . Koby. Israel. 1. Introduction. Text line extraction is generally seen as preprocessing step for tasks such as . Presenter : Wei-. Hao. Huang . 　. Authors . : . Furu. . Wei, . Shixia. . Liu, . Yangqiu. . Song, . Shimei. . Pan Michelle . X. . Zhou, . Weihong. . Qian. , . Lei . Shi, . Li . Tan . Zahra . Rahimi. Diane . Litman. Elaine Wang Richard . Correnti. zar10@pitt.edu. . . dlitman@pitt.edu. . elw51@pitt.edu. . Titing. , Cui Michael L. Hamilton. Segmented Pricing. A. . segmented pricing . is . when the price for a good varies across different segments of the market. .. Many markets are segmented. Digital Properties like Adobe, Office, Online Games.