State Of The Art Text Summarisation Techniques
Developing a Sequence-to-Sequence model to generate news headlines – trained on real-world articles from US news publications – and building a text classifier utilising these headlines.
Developing a Sequence-to-Sequence model to generate news headlines – trained on real-world articles from US news publications – and building a text classifier utilising these headlines.
Introducing Recurrent Neural Networks with Long-Short-Term Memory and Gated Recurrent Unit to predict reported Crime Incident
Application of state-of-the-art text analysis technique ULMFiT to a Twitter Dataset
Copyright (c) 2017, Chair of Information System at HU-Berlin; all rights reserved.
Template by Bootstrapious. Ported to Hugo by DevCows