پردازش زبان طبیعی(NLP)

1.1. Course introduction

00:10′

2.1. Linguistics Knowledge

00:11′

3.1. NLP Challenges

00:24′

4.1. Zipf’s Law

00:11′

5.1. Probabilistic Language Modeling: Motivation and Estimation

00:40′

6.1. An Intro to Google Colab

00:13′

7.1. Unigram & Bigram Language Models

00:17′

1.2. Probabilistic Language Modeling: Smoothing1

00:15′

2.2. Probabilistic Language Modeling: Smoothing2

00:17′

3.2. Probabilistic Language Modeling: Evaluation

00:31′

4.2. Neural Language Modeling

00:40′

5.2. Neural Language Model

00:33′

1.3. Sparse Word Representation 1

00:36′

2.3. Sparse Word Representation 2

00:30′

3.3. Dense Word Representation 1

00:22′

4.3. Dense Word Representation 2

00:29′

5.3. Dense Word Representation 3

00:29′

6.3. TF-IDF representation and Word2Vec by gensim

00:19′

1.4. Text Preprocessing

00:36′

2.4. Spell Correction

00:27′

3.4. Persian Text Processing

00:31′

4.4. Text Processing Using NLTK Library

00:13′

1.5. Sequence Processing Recurrent Neural Networks I

00:27′

2.5. Sequence Processing Recurrent Neural Networks II

00:16′

3.5. Sequence Processing Transformers

00:28′

4.5. Text Classification with RNNs

00:27′

1.6. Dialogue Systems: Introduction

00:16′

2.6. Dialogue Systems: Properties of Human Conversation

00:32′

3.6. Dialogue Systems: Rule-based Conversational Chatbots

00:19′

4.6. Dialogue Systems: Corpus-based Conversational Chatbots I

00:24′

5.6. Dialogue Systems: Corpus-based Conversational Chatbots II

00:11′

6.6. Dialogue Systems: Corpus-based Conversational Chatbots III

00:15′

7.6. Seq-to-seq model with Transformer

00:36′

1.7. Contextualized Representation I

00:12′

2.7. Contextualized Representation II

00:25′

3.7. Contextualized Representation for Corpus-Based Chatbots I

00:26′

4.7. Contextualized Representation for Corpus-Based Chatbots II

00:15′

5.7. Use BERT for Classification

00:16′

6.7. Chatbot with GPT-2

00:22′

1.8. Dialogue Systems: GUS, Simple Frame-based Dialogue Systems

00:27′

2.8. Dialogue Systems: Frame-based Dialogue-state Architecture I

00:19′

3.8. Dialogue Systems: Frame-based Dialogue-state Architecture II

00:27′

4.8. Dialogue Systems: Evaluation

00:23′

5.8. Summary

00:11′

6.8. Slot Filling using RNNs

00:21′

1.9. جلسه اول پرسش و پاسخ

00:33′

2.9. جلسه چهارم پرسش و پاسخ

00:44′

3.9. جلسه ششم پرسش و پاسخ

00:12′

1.10. تمرین هفته اول

00:19′

2.10. تمرین هفته دوم

00:21′

3.10. تمرین هفته سوم

00:33′

4.10. تمرین هفته چهارم

00:41′

5.10. تمرین هفته پنجم

00:51′

6.10. تمرین هفته ششم

00:13′

7.10. تمرین هفته هفتم

00:35′