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documents summarization

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generate summary for documents

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# Title Author Topic Medium Score
1 Algorithm Tips Daniel Trielli, Jennifer Stark 107 resource 11.45
2 Unsupervised Text Summarization using Sentence Embeddings Kushal Chauhan 851 resource 11.44
3 The 7 NLP Techniques That Will Change How You Communicate in the Future (Part II) James Le 133 resource 11.29
4 Clustering cliques for graph-based summarization of the biomedical research literature Han Zhang, Marcelo Fiszman, Dongwook Shin, Bartomiej Wilkowski, Thomas Rindflesch 999 paper 11.15
5 Introduction to Latent Dirichlet Allocation Edwin Chen 632 tutorial 11.11
6 Recent Advances in Document Summarization Jin-ge Yao, Xiaojun Wan, Jianguo Xiao 421 survey 11.05
7 Summarizing Tweets in a Disaster Gabriel Tseng 421 resource 10.99
8 Summarizing Tweets in a Disaster Gabriel Tseng 421 tutorial 10.99
9 awesome-text-summarization icoxfog417 754 library 10.95
10 Sling - A natural language frame semantics parser Michael Ringgaard, Rahul Gupta, Fernando C. N. Pereira 365 library 10.95
11 Scientific Document Summarization Corpus and Annotations WING NUS 921 library 10.80
12 Taming Recurrent Neural Networks for Better Summarization Abigail See 754 tutorial 10.75
13 Your tl;dr by an Ai: a Deep Reinforced Model for Abstractive Summarization Romain Paulus 811 resource 10.73
14 Your tl;dr by an ai: a deep reinforced model for abstractive summarization Romain Paulus 754 tutorial 10.73
15 Multi-document abstractive summarization using ilp based multi-sentence compression Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama 999 paper 10.71
16 Neural Text Embeddings for IR Bhaskar Mitra, Nick Craswell 721 tutorial 10.39
17 Your TL;DR by an AI: A Deep Reinforced Model for Abstractive Summarization Romain Paulus, Caiming Xiong and Richard Socher 754 resource 10.39
18 IBM Watson machine learns the art of writing a good headline Nick Heath 754 resource 10.35
19 Why does LDA work? James McInerney 632 resource 10.34
20 Using Machine Learning To Generate Human-Readable News Articles Tariq Ali 979 resource 10.25
21 Deep Learning for NLP, advancements and trends in 2017 Javier 711 resource 10.01
22 Introduction to NLP Niklas Donges 112 resource 9.99
23 Understanding Feature Engineering (Part 4)?—?Deep Learning Methods for Text Data Dipajan Sarkar 711 resource 9.98
24 A Word is Worth a Thousand Vectors Chris Moody 721 tutorial 9.98
25 Holy NLP! Understanding Part of Speech Tags, Dependency Parsing, and Named Entity Recognition Peter Baumgartner 256 resource 9.96
26 FigureQA: an annotated figure dataset for visual reasoning Author Unknown 862 resource 9.86
27 The 4 Deep Learning Breakthroughs You Should Know About Seth Weidman 711 resource 9.81
28 The author-topic model: LDA with metadata Sam Roweis 632 library 9.72
29 A Practitioner's Guide to Natural Language Processing (Part I)?—?Processing & Understanding Text Dipanjan (DJ) Sarker 112 resource 9.64
30 An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec NSS 721 tutorial 9.57
31 A Gentle Introduction to Machine Learning Author Unknown 711 tutorial 9.55
32 Latent Semantic Analysis Thomas Landauer, Susan Dumais 314 paper 9.49
33 Highlights of EMNLP 2017: Exciting Datasets, Return of the Clusters, and More! Sebastian Ruder 641 resource 9.44
34 awesome-question-answering Apurv Verma 755 library 9.43
35 Text summarization with TensorFlow Peter Liu, Xin Pan 731 tutorial 9.38
36 Text summarization with TensorFlow Peter Liu, Xin Pan 731 resource 9.38
37 Codra: A Novel Discriminative Framework for Rhetorical Analysis Shafiq Joty, Giuseppe Carenini, Raymond T. Ng 999 paper 9.32
38 Convolutional Methods for Text Tal Perry 744 tutorial 9.31
39 Gimli: open source and high-performance biomedical name recognition David Campos, Sergio Matos, Jose Oliveira 999 paper 9.27
40 The 7 NLP Techniques That Will Change How You Communicate in the Future (Part I) James Le 112 resource 8.95
41 The Essential NLP Guide for data scientists (with codes for top 10 common NLP tasks) Author Unknown 115 resource 8.89
42 Transfer Learning - Machine Learnings Next Frontier Sebastian Ruder 978 tutorial 8.83
43 Multi-Task Learning Objectives for Natural Language Processing Author Unknown 133 resource 8.82
44 Deep Learning 2: Part 1 Lesson 4 Hiromi Suenaga 711 resource 8.75
45 Learning AI if You Suck at Math?—?P7?—?The Magic of Natural Language Processing Daniel Jeffries 133 tutorial 8.70
46 Introduction to Neural Machine Translation with GPUs (part 3) Kyunghyun Cho 753 tutorial 8.65
47 Creating Custom Estimators in TensorFlow TensorFlow Team 731 resource 8.56
48 Distraction-based Neural Models for Document Summarization Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang 754 library 8.49
49 Do Altmetrics Work? Twitter and Ten Other Social Web Services Mike Thelwall, Stefanie Haustein, Vincent Larivière, Cassidy R. Sugimoto 999 paper 8.49
50 Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies Sepp Hochreiter, Yoshua Bengio, Pailo Frasconi, Jurgen Schmidhuber 741 survey 8.42
51 Deep Learning 2: Part 2 Lesson 11 Hiromi Suenaga 711 resource 8.18
52 Potara: Multi-document summarization tool sildar 754 library 8.13
53 How to Run Text Summarization with TensorFlow Pavel Surmenok 731 tutorial 8.12
54 sumy 0.7.0 Michal Belica 421 library 8.12
55 Automatic text summarizer Mišo Belica 421 library 8.12
56 TGSum: Build Tweet Guided Multi-Document Summarization Dataset Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou 999 paper 8.11
57 DeepMind Q&A Dataset Hermann, K. M., Kocisky, T., Grefenstette, E., Espeholt, L., Kay, W., Suleyman, M., & Blunsom, P. 412 corpus 8.02
58 How to easily do Topic Modeling with LSA, PLSA, LDA & lda2Vec Joyce Xu 632 resource 8.00
59 How to Run Text Summarization with TensorFlow Pavel Surmenok 731 tutorial 7.98
60 LEGO Color Themes as Topic Models Nathanael Aff 999 resource 7.96
61 Visualizing Convolutional Nets for NLU Tasks Hannes 744 resource 7.96
62 Deconstruction with Discrete Embeddings R2RT 711 resource 7.93
63 Example of logistic regression in Python using scikit-learn Kevin Markham 516 tutorial 7.92
64 Improving Multi-Document Summarization via Text Classification Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei 999 paper 7.91
65 Neural Information Retrieval: At the End of the Early Years Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek K 713 resource 7.90
66 Classify or Select: Neural Architectures for Extractive Document Summarization Ramesh Nallapati, Bowen Zhou, Mingbo Ma 421 paper 7.88
67 Stop Using word2vec Chris Moody 365 resource 7.87
68 CogComp-NLPy CogComp 731 library 7.87
69 Summarization datasets from the New York Times Annotated Corpus Kapil Thadani 961 library 7.82
70 Understanding Feature Engineering (Part 3)?—?Traditional Methods for Text Data Dipajan Sarkar 711 resource 7.80
71 Text Summarization with Gensim Olavur Mortensen 421 tutorial 7.79
72 Recent Evolution of QA Datasets and Going Forward Jiwoong Im 412 tutorial 7.76
73 Deep Learning in NLP Vered Shwartz 711 resource 7.75
74 Word2vec in Python, Part Two: Optimizing Radim Rehurek 721 tutorial 7.73
75 Machine Learning is Fun Part 5: Language Translation with Deep Learning and the Magic of Sequences Adam Geitgey 753 tutorial 7.73
76 Generative Adversarial Networks (GANs): Engine and Applications Anton Karazeev 713 resource 7.71
77 A Beginners Guide to Natural Language Processing Thomas Plapinger 112 resource 7.70
78 Distraction-Based Neural Networks for Document Summarization Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang 745 paper 7.69
79 Is science becoming more interdisciplinary? Measuring and mapping six research fields over time Alan L. Porter, Ismael Rafols 999 paper 7.67
80 DeepMind and Blizzard open StarCraft II as an AI research environment Oriol Vinyals, Stephen Gaffney, Timo Ewalds 811 resource 7.65
81 The Neural Network Zoo Fjodor Van Veen 712 tutorial 7.60
82 The Definitive Guide to Natural Language Processing Javier Couto 133 tutorial 7.60
83 Word Embedding: Word2Vec Explained V. Tursi, R. Silipo 72 resource 7.59
84 Webcrow: A Web-Based Crosswords Solver Giovanni Angelini, Marco Ernandes, Marco Gori 999 paper 7.59
85 Citation analysis of physics journals: Comparison of subfields of physics N. Midorikawa 999 paper 7.59
86 Chapter 9 : Natural Language Processing. Madhu Sanjeevi 711 resource 7.55
87 What does Deep Learning Contribute to Search Tommaso Teofili 612 resource 7.54
88 Text Summarization in Python: Extractive vs. Abstractive techniques revisited Pranay Mathur, Aman Gill, Aayush Yadav 754 tutorial 7.50
89 Recurrent Neural Networks with Word Embeddings Grégoire Mesnil 741 tutorial 7.49
90 Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT) Iulian Vlad Serban and Alessandro Sordoni 743 library 7.44
91 Dive Into NLTK, Part IX: From Text Classification to Sentiment Analysis Author Unknown 132 tutorial 7.40