Assignment

Assignment 1 - Word Embedding

Words contain meanings. This task is to learn the vector representations of words for meaning encoding.

Phase 1: implementation of word embedding models for English data
Phase 2: implementation of same models for Chinese PTT data

[Phase 1 Word Correlation Competition]
[Phase 2 Word Analogy Competition]

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Assignment 2 - Sentiment Analysis

Sentiment can be analyzed based on the observed language. This task is to predict the sentiment for English sentences using recursive neural networks.

Bonus 1: prediction of the sentiment for Chinese data
Bonus 2: implementation of convolutional neural networks for sentiment analysis

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Assignment 3 - Language Understanding

Language understanding is the core component of intelligent systems, where there are mainly two types of information to be extracted: intents and slots. Intent classification and slot filling should be applied in order to understand natural language.

Task 1: filling the slots given the input sentence
Task 2: prediction of the user intention from the input sentence

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Assignment 4 - Language Generation

Language generation is to emit natural language texts given 1) natural language in another language or 2) user intent associated with specified slots.

Task 1: Machine translation generates target language given the source language
Task 2: Natural language generation generates natural language given the structured semantic frames

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