Difference between revisions of "User:Dmovshov"
From Cohen Courses
Jump to navigationJump to searchLine 14: | Line 14: | ||
=== Papers === | === Papers === | ||
− | * [[Ristad_and_Yianilos_1997_Learning_String_Edit_Distance | "Learning String Edit Distance" by Ristad and Yianilos, 1997]] | + | * [[Ristad_and_Yianilos_1997_Learning_String_Edit_Distance | "Learning String Edit Distance" by Ristad and Yianilos, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997]] |
+ | * [[Bilenko_and_Mooney_2003_Adaptive_duplicate_detection_using_learnable_string_similarity_measures | "Adaptive duplicate detection using learnable string similarity measures" by Bilenko and Mooney, ACM SIGKDD, 2003]] | ||
=== Methods === | === Methods === | ||
* [[Expectation_Maximization | Expectation Maximization]] | * [[Expectation_Maximization | Expectation Maximization]] | ||
Line 20: | Line 21: | ||
=== more for later === | === more for later === | ||
* Paper: [[Cohen_2003_a_comparison_of_string_distance_metrics_for_name_matching_tasks]] | * Paper: [[Cohen_2003_a_comparison_of_string_distance_metrics_for_name_matching_tasks]] | ||
− | |||
* Paper: Bellare and Pereira - "A CRF for discriminatively-trained finite-state string edit distance" | * Paper: Bellare and Pereira - "A CRF for discriminatively-trained finite-state string edit distance" | ||
* Method: [[PCFGs]] | * Method: [[PCFGs]] |
Revision as of 16:40, 26 September 2011
Contents
Dana Movshovitz-Attias
I'm a second year PhD student in CSD.
Project
I am doing a project on Identifying Abbreviations in Biomedical Text.
Wiki Writeups
Papers
- "Learning String Edit Distance" by Ristad and Yianilos, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- "Adaptive duplicate detection using learnable string similarity measures" by Bilenko and Mooney, ACM SIGKDD, 2003
Methods
more for later
- Paper: Cohen_2003_a_comparison_of_string_distance_metrics_for_name_matching_tasks
- Paper: Bellare and Pereira - "A CRF for discriminatively-trained finite-state string edit distance"
- Method: PCFGs