Covering rare words
Table of Contents 1. Covering rare words 1.1. goal 1.2. motivation 1.3. ingredients 1.4. steps 1.5. outlook 1.6. resources Covering rare words goal This week’s blogpost treats a new network...
Sentences with style and topic
Table of Contents 1. “Generating sentences from a continuous space” 1.1. goal 1.2. motivation 1.3. ingredients 1.4. steps 1.5. outlook 1.6. resources Sentences with style and topic goal In this...
Alternatives to the softmax layer
Table of Contents 1. Alternatives to the softmax layer softmax 1.1. goal 1.2. motivation 1.3. ingredients 1.4. steps 1.5. outlook 1.6. resources Alternatives to the softmax layer goal This weeks posts...
Syntactic Parse Trees for sentence representation
Table of Contents 1. Syntactic Parse Trees for sentence representation syntax parse tree 1.1. goal 1.2. motivation 1.3. ingredients 1.4. steps 1.5. outlook 1.6. resources Syntactic Parse Trees for sentence representation :syntax:parse:tree: goal...
Refining the Settings User Interface
The User Experience, Engine Development and Design teams have teamed up to create an Application launcher for Musio. There was one already but we weren’t 100% happy with it, so...
Variational Autoencoder
Goal Variational methods for inference of latent variables became popular in the last years. Here, we have a look at variational autoencoders from a slightly more mathematical point of view....
Autoencoder
Goal Autoencoder have long been proposed to tackle the problem of unsupervised learning. In this week’s summary we have a look at their capabilities of providing a features that can...
Expectation Maximization Algorithm
Goal In today’s summary we have a look at the expectation maximization algorithm that allows to optimize latent variable models when analytic inference of the posterior probability of latent variables...
Beam Search
Beam search Goal In this short summary we will have a look at the beam search algorithm, which is applied in NLP for optimizing the generation of sequences of words...
UNSUPERVISED INDUCTION AND FILLING OF SEMANTIC SLOTS FOR SPOKEN DIALOGUE SYSTEMS USING FRAME-SEMANTIC PARSING
SUMMARY This paper focuses on a single question: Â If given a large amount of unlabelled audio inputs, is it possible to automatically categorize them without supervision by semantically utilizing the...