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Title:

chatbot

Abstract:

Chatbot survey. Information extraction. Seq2Seq.

Comments:

This is a test for chatbox

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# Title Author Topic Medium Score
1 Building a FAQ Chatbot in Python – The Future of Information Searching Yogesh Kulkarni 232 resource 18.17
2 Deep Learning chatbots analysis - whats the actual tech behind them? Przemyslaw 756 tutorial 17.55
3 13 Deep Learning Frameworks for Natural Language Processing in Python Data Monsters 731 resource 17.12
4 How To Create a ChatBot With tf-seq2seq For Free! Viacheslav Kovakevskyi 921 resource 16.74
5 Chatsbots with Machine Learning: Building Neural Conversational Agents Dmitry Persiyanov 999 resource 16.50
6 How to Use Tensorflow for Seq2seq Models Siraj Raval 731 tutorial 15.38
7 Artificial Intelligence is a matter of Language Giuseppe Bonaccorso 713 tutorial 14.52
8 DEEP LEARNING FOR CHATBOTS, PART 2 - IMPLEMENTING A RETRIEVAL-BASED MODEL IN TENSORFLOW Denny Britz 445 tutorial 14.32
9 SyntaxNet in context: Understanding Google’s new TensorFlow NLP model Mathhew Honnibal 731 tutorial 14.17
10 The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch Ritchie Ng 731 resource 13.69
11 Introducing custom pipelines and extensions for spaCy v2.0 Ines Montani 999 resource 13.51
12 Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models Matthew Honnibal 713 tutorial 13.41
13 WikiReading paper notes Andrej Karpathy 755 resource 13.34
14 How to Make a Text Summarizer - Intro to Deep Learning #10 Siraj Raval 754 tutorial 13.14
15 A Comparative Analysis of ChatBots APIs Author Unknown 921 resource 12.94
16 Seq2Seq ICML Tutorial Oriol Vinyals, Navdeep Jaitly 731 tutorial 12.66
17 Generative Model Chatbots Kumar Shridhar 756 tutorial 12.61
18 A Good Part-of-Speech Tagger in about 200 Lines of Python Matthew Honnibal 231 tutorial 12.22
19 Awesome Community-Curated NLP List Author Unknown 133 resource 12.09
20 Prodigy: A new tool for radically efficient machine teaching Matthew Honnibal, Ines Montani 134 resource 11.96
21 How to Use Tensorboard (LIVE) Siraj Raval 711 lecture 11.86
22 Unsupervised sentence representation with deep learning Yonatan Hadar 723 resource 11.82
23 Supervised learning is great — it’s data collection that’s broken Ines Montani, Matthew Honnibal 134 tutorial 11.78
24 Tensorflow for Deep Learning Research - Lecture 4 Labhesh Patel 731 course 11.70
25 How to Make a Language Translator - Intro to Deep Learning #11 Siraj Raval 753 tutorial 11.70
26 Data Science Simplified: Principles and Process Pradeep Menon 134 tutorial 11.66
27 spaCy v1.0: Deep Learning with custom pipelines and Keras Matthew Honnibal 133 tutorial 11.58
28 Pseudo-rehearsal: A simple solution to catastrophic forgetting for NLP Matthew Honnibal 134 resource 11.57
29 Supervised similarity: Learning symmetric relations from duplicate question data Matthew Honnibal 133 tutorial 11.33
30 From Natural Language Processing to Ar4ficial Intelligence Jonathan Mugan 133 tutorial 11.15
31 Deep text-pair classification with Quora’s 2017 question dataset Matthew Honnibal 133 tutorial 11.12
32 A Beginners Guide to Deep Learning Kumar Shridhar 711 tutorial 11.07
33 An open-source named entity visualiser for the modern web Matthew Honnibal 232 tutorial 10.95
34 Parsing English in 500 Lines of Python Matthew Honnibal 242 tutorial 10.92
35 You Shall Not Speak: Benchmarking Famous Speech Recognition APIs for Chatbots RecastAI 756 resource 10.82
36 Summaries and notes on Deep Learning research papers Denny Britz 713 resource 10.82
37 Translation with a Sequence to Sequence Network and Attention Sean Robertson 753 tutorial 10.73
38 Translation with a Sequence to Sequence Network and Attention Sean Robertson 753 resource 10.58
39 Deep learning revolutionizes conversational AI Yishay Carmiel 811 resource 10.50
40 Soul of the Machine: How Chatbots Work gk_ 756 resource 10.43
41 Deep Learning Papers Reading Roadmap Flood Sung 713 resource 10.43
42 ACL 2017 Report Yuta Kikuchi, Sosuke Kobayashi 711 resource 10.42
43 Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization Minsoo Kim, Moirangthem Dennis Singh, Minho Lee 232 paper 10.41
44 A Complete Guide on Getting Started with Deep Learning in Python Faizan Shaikh 711 tutorial 10.37
45 Introduction to Arabic Natural Language Processing Nizar Y. Habash 955 survey 10.36
46 Natural Language Processing Andreessen Horowitz 133 resource 10.34
47 Recent Advances in Document Summarization Jin-ge Yao, Xiaojun Wan, Jianguo Xiao 421 survey 10.30
48 DEEP LEARNING FOR CHATBOTS, PART 1 - INTRODUCTION Denny Britz 445 tutorial 10.30
49 Brief History of Machine Learning Eren Golge 107 tutorial 10.27
50 6 Deep Learning Applications a beginner can build in minutes (using Python) Faizan Shaikh 711 tutorial 10.22
51 Introduction to Torch’s tensor library Robert Guthrie 731 tutorial 10.20
52 Siraj Raval Youtube Channel Siraj Raval 711 resource 10.08
53 Gimli: open source and high-performance biomedical name recognition David Campos, Sergio Matos, Jose Oliveira 999 paper 10.06
54 Sequence Models and Long-Short Term Memory Networks Robert Guthrie 742 tutorial 10.04
55 Clustering text documents using scikit-learn kmeans in Python Various Authors 57 resource 9.85
56 Stanford Tensorflow Tutorials Huyen Nguyen 713 course 9.83
57 Beat Atari with Deep Reinforcement Learning! (Part 0: Intro to RL) Adrien Lucas Ecoffet 857 resource 9.83
58 A ‘Brief’ History of Neural Nets and Deep Learning, Part 4 Andrey Kurenkov 711 tutorial 9.82
59 State-of-the-art neural coreference resolution for chatbots Thomas Wolf 756 tutorial 9.72
60 How to Make a Chatbot - Intro to Deep Learning #12 Siraj Raval 711 tutorial 9.71
61 Sequence to sequence learning using TensorFlow. Jay Parks 281 resource 9.64
62 Seq2Seq Tutorial Oriol Vinyals And Navdeep Jaitly 741 tutorial 9.64
63 Seq2Seq experiment with mathematical expressions Giuseppe Bonaccorso 741 tutorial 9.61
64 The Definitive Guide to Natural Language Processing Javier Couto 133 tutorial 9.59
65 Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning and Big Data Stefan Kojouharov 581 resource 9.54
66 TOP 100 medium articles related with Artificial Intelligence / Machine Learning’ / Deep Learning (until Jan 2017) Florin Badita 134 resource 9.51
67 EXPLORING LSTMS: INVESTIGATING INTERNALS (PART TWO) Edwin Chen 742 tutorial 9.45
68 Neural Machine Translation (seq2seq) Tutorial Thang Luong, Eugene Brevdo, Rui Zhao 753 tutorial 9.43
69 Beat Atari with Deep Reinforcement Learning! (Part 1: DQN) Adrien Lucas Ecoffet 857 resource 9.41
70 Word Embeddings: Encoding Lexical Semantics Robert Guthrie 721 tutorial 9.40
71 seq2seq: the clown car of deep learning Dev Nag 753 resource 9.38
72 The Conversational Intelligence Challenge na 863 resource 9.37
73 Understanding Evolutionary Algorithms Egor Dezhic 713 resource 9.37
74 Introducing tf-seq2seq: An Open Source Sequence-to-Sequence Framework in TensorFlow Anna Goldie, Denny Britz 731 tutorial 9.33
75 Multiword Expression Processing: A Survey Mathieu Constant, Gül?en Eryi?it, Johanna Monti, Lonneke van der Plas 381 survey 9.32
76 Rapid Understanding of Scientific Paper Collections: Integrating Statistics, Text Analytics, and Visualization Cody Dunne, Ben Shneiderman, Robert Gove, Judith Klavans, Bonnie Dorr 999 paper 9.31
77 Building a Translation System in Minutes CeShine Lee 456 resource 9.28
78 Convolutional neural networks for language tasks Garrett Hoffman 744 resource 9.28
79 Creating your own neural network using TensorFlow Hannah Yan Han 731 resource 9.23
80 Episode 1 - Genetic Algorithm for Reinforcement Learning Moustafa Alzantot 857 resource 9.23