PPT-Improving Cross-lingual Entity Alignment via Optimal Transport

Shichao Pei Lu Yu Xiangliang Zhang CEMSE King Abdullah University of Science and Technology KAUST SA 81919 The 28th International Joint Conference on Artificial Intelligence August 1016 2019 Macao China. Heng. . Ji. (RPI). Hoa. . Trang. Dang (NIST). WORRY, BE HAPPY!. Motivations: Cross-lingual KBP. 2. . Motivations: Cross-lingual . Information Fusion. 3. . Who is Jim Parsons? . How is he doing lately?. State-of-the-art Entity Discovery and Linking. Heng. . Ji. (RPI). jih@rpi.edu. . Goals and The Task. 2. . Now. , Ms. . Yang. , . one. of . China. 's best-known dancers, is the . Many . Languages. Yangqiu. . Song,. . Shyam. . Upadhyay. , . Haoruo. Peng, and Dan Roth. Much of the work was done at UIUC. 1. Document . Topical Classification. On Feb. 8, Dong Nguyen announced that he would be removing his hit game . Isaac Rodriguez. Sr. Software Engineer. Autodesk University Session Feedback. Your feedback is very important to Autodesk. Attendees can complete session survey on their mobile device, PC or at a survey station. and Its Impact on Cold-Start KBP. Heng. . Ji. , Joel . Nothman. and . Hoa. . Trang. Dang. jih@rpi.edu. Thanks to KBP2016 Organizing Committee. . Goals and The Task. State-of-the-art . Entity Discovery and Linking. Heng. . Ji. (RPI). jih@rpi.edu. . Goals and The Task. 2. . Now. , Ms. Yang, one of China's best-known dancers, is the director, choreographer and star of . Detection using Dependency Context. Shyam Upadhyay* . Yogarshi. . Vyas. *. Dan Roth Marine . Carpuat. (Mono-lingual) . Hypernymy. Detection. 2. squirrel. r. odent. (i.e., is a kind of?). Hypernym. Cross Entity Course Enrolment (CECE)This session will focus on the process for Cross Entity Course Enrolment (CECE)The following topics will be discussedOverview of CECE coursesSetting up the applicat Estimation & Lifted Metrics. J. Saketha Nath (IITH). Joint Work with Pratik . Jawanpuria. (Microsoft, INDIA), . Piyushi. . Manupriya. (IITH). Optimal Transport. `.  .  .  .  .  .  .  .  . Embeddings. : An Empirical Comparison . Shyam Upadhyay. Manaal. . Faruqui. Chris Dyer. Dan Roth. Cross-lingual . Embeddings. 2. children. enfants. money. argent. loi. law. life. vie. monde. world. pays. Hardison. Genomics 4_1. Sources: Webb Miller (Penn State. ). Kun-Mao Chao and . Luxin. Zhang: . Sequence Comparisons, Theory . and Methods. , Springer 2008. Bill Pearson (U. Virginia). Vladimir . Lukic. Andrea Horbach. , Sebastian . Stennmanns. , Torsten . Zesch. University Duisburg-Essen, Germany. Cross-Lingual Content Scoring - Motivation . Core . Idea. Content . scoring. . of. . students. ‘ . The sequence alignment problem. Wilson Leung . 08/. 2015. Outline. Overview of the sequence alignment problem. Calculate the optimal global alignment. C. haracteristics of dynamic programming algorithms. Hardison. Genomics 4_2. Sources: Webb Miller (Penn State. ). Kun-Mao Chao and . Luxin. Zhang: . Sequence Comparisons, Theory . and Methods. , Springer 2008. Bill Pearson (U. Virginia. ). Vladimir . Likic.