Despite the many JavaScript libraries that are available today, I cannot find one that makes it easy to add keyboard shortcuts(or accelerators) to your javascript app. This is because keyboard shortcuts where only used in JavaScript games - no serious web application used keyboard shortcuts to navigate around its interface. But Google apps like Google Reader and Gmail changed that. So, I have created a function to make adding shortcuts to your application much easier.
Source code to repeat the paper evaluation: We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, recursively induces lambda forms from these, and clusters them to abstract away syntactic variations of the same meaning. The MAP semantic parse of a sentence is obtained by recursively assigning its parts to lambda-form clusters and composing them. We evaluate our approach by using it to extract a knowledge base from biomedical abstracts and answer questions. USP substantially outperforms TextRunner, DIRT and an informed baseline on both precision and recall on this task.
Lately I’ve been working on evaluating and comparing algorithms, capable of extracting useful content from arbitrary html documents. I have made a feature wise comparison of related software and APIs.
Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark provides primitives for in-memory cluster computing: your job can load data into memory and query it repeatedly much quicker than with disk-based systems like Hadoop.
AWS Elastic Beanstalk is an even easier way for developers to quickly deploy and manage applications in the AWS cloud without having to worry about the physical infrastructure or the resource configuration that accompanies setting up that infrastructure. You simply upload your application and AWS Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring, while allowing you to change configuration settings and deploy new versions.
Trying to find a name for a company, project, algorithm, product? Acronym Creator helps you generate a name that is an acronym or abbreviation. With this acronym builder, abbreviation maker, name generator, label finder - whatever you call it - you can make your own acronyms and have fun!
The professional, open source development tool for the open web. Develop and test your entire web application using a single environment. With support for the latest browser technology specs such as HTML5, CSS3 and JavaScript; and Ruby, Rails, PHP & Python on the server side. We've got you covered!
Node.js provides a its own assert module with some really useful functions for creating basic tests. However, the reporting and running of these assertions can become complicated, especially with asynchronous code. How can you be sure that all assertions ran? Or that they ran in the correct order? This is where nodeunit comes in, a tool for defining and running unit tests in the simplest way possible.
The Javatools are a collection of Java classes for a variety of small tasks, such as parsing, database interaction or file handling. They were developed by Fabian M. Suchanek for the YAGO-NAGA project. The Javatools are licensed under a Creative Commons Attribution 3.0 License by the YAGO-NAGA team.
A simple Web server with only 200 lines of C source code. In this article, Nigel Griffiths provides a copy of this Web server and includes the source code as well. You can see exactly what it can and can't do.
X. Wan, and J. Yang. SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page 143--150. New York, NY, USA, ACM, (2007)
G. Fung, J. Yu, and W. Lam. Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on, (20-23 March 2003)
C. Robertson, S. Geva, and R. Wolff. AusDM '06: Proceedings of the fifth Australasian conference on Data mining and analystics, page 145--153. Darlinghurst, Australia, Australia, Australian Computer Society, Inc., (2006)
A. Esuli, and F. Sebastiani. Proceedings of EACL-06, 11th Conference of the European Chapter of the Association for Computational Linguistics, Trento, IT., (2006)
M. Gamon. COLING '04: Proceedings of the 20th international conference on Computational Linguistics, page 841. Morristown, NJ, USA, Association for Computational Linguistics, (2004)