Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI
نویسندگان
چکیده
منابع مشابه
JedAI: The Force Behind Entity Resolution
We present JedAI, a toolkit for Entity Resolution that can be used in three different ways: as an open-source Java library that implements numerous state-of-the-art, domain-independent methods, as a workbench that facilitates the evaluation of their relative performance and as a desktop application that offers out-of-the-box ER solutions. JedAI bridges the gap between the database and the Seman...
متن کاملComparison of nerve repair with end to end, end to side with window and end to side without window methods in lower extremity of rat
Abstract Background : Although, different studies on end-to-side nerve repair, results are controversial. The importance of this method in case is unavailability of proximal nerve. In this method, donor nerves also remain intact and without injury. In compare to other classic procedures, end-to-side repair is not much time consuming and needs less dissection. Overall, the previous studies i...
متن کاملEnd-To-End Policy-Agnostic Security for Database-Backed Applications
Protecting sensitive data often requires implementing repeated secu rity checks and filters throughout a program. This task is especially error-prone in web programs, where data flows between applica tions and databases. To reduce the opportunity for privacy leaks, we present Jacqueline, a web framework that automatically enforces se curity policies that restrict where sensitive data may flo...
متن کاملEnd-to-end esophagojejunostomy versus standard end-to-side esophagojejunostomy: which one is preferable?
Abstract Background: End-to-side esophagojejunostomy has almost always been associated with some degree of dysphagia. To overcome this complication we decided to perform an end-to-end anastomosis and compare it with end-to-side Roux-en-Y esophagojejunostomy. Methods: In this prospective study, between 1998 and 2005, 71 patients with a diagnosis of gastric adenocarcinoma underwent total gastrec...
متن کاملEnd-to-end Neural Coreference Resolution
We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or handengineered mention detector. The key idea is to directly consider all spans in a document as potential mentions and learn distributions over possible antecedents for each. The model computes span embeddings that combine context-depen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGMOD Record
سال: 2020
ISSN: 0163-5808
DOI: 10.1145/3385658.3385664