Meet us at the MakeOffices in Dupont Circle this month for two great talks.
David Grossman, Associate Director of Georgetown University's Information Retrieval Lab, will present FreeDiscovery. FreeDiscovery's initial focus is on eDiscovery for the legal community, and it provides a really nice, easy way to ReST enable any machine learning library. Further it simplifies comparing many algorithms against reference datasets and provides an easy API geared towards developers that don't necessarily need to know much about machine learning.
Dan Simonson, PhD candidate in computational linguistics at Georgetown University, will recap the good parts of this year's Empirical Methods in Natural Language Processing conference (EMNLP). He'll also update us on his work investigating document categories with narrative schemas.
We'll gather starting at 6:30pm at MakeOffices - we'll have someone to meet you in the lobby. Introductions & announcements will start around 7:00pm, and presentations will begin at 7:30pm. Afterwards, there will be plenty of time for follow-up questions, networking, and more.
DC NLP meets each month to network, socialize, and learn about the interesting work folks are doing in natural language processing, computational linguistics, text analytics, and more.
Do you have something you'd like to share with the group? Let us know! We're always looking for speakers to give talks at future meetups, and don't forget to follow @DCNLP on Twitter!