π° Implementation for MSCC (Microsoft sentence completion challenge), in Tensorflow 1.0
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Updated
May 29, 2018 - Python
π° Implementation for MSCC (Microsoft sentence completion challenge), in Tensorflow 1.0
Genessay is a content generation system where the user can enter incomplete sentences and phrases and the system will generate the content according to the input
The goal of this script is to implement three langauge models to perform sentence completion, i.e. given a sentence with a missing word to choose the correct one from a list of candidate words. The way to use a language model for this problem is to consider a possible candidate word for the sentence at a time and then ask the language model whicβ¦
Project for Natural Language Understanding course - ETH Zurich, Spring 2018
Teaching π€ how to βπ½ multiple choice questions π©π½βπ«
This project aims to predict the next words in a sentence using a language model trained on the Medium dataset, specifically focusing on generating likely sentences based on the initial words of a Medium post title entered in the search bar.
Natural Language Processing algorithms implementation. Current implementation features sentence completion and knowledge building
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