Topic 6: Information Retrieval and Topic Modeling 197


Title (link) Author Date Votes Error
Web Search Query Log Downloads Jeff Huang 2010
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Stanford Large Network Dataset Collection Jure Leskovec 2014
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Title (link) Lecturer Date Votes Error
Information Retrieval 7 David Smith 2013
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Scores in a Complete Search System Hinrich Sch¨utze 2014
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CS11-747 Neural Networks for NLP Machine Reading w/ Graham Neubig 2017
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Evaluation Christopher Manning 2017
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XML Retrieval Hinrich Sch¨utze 2014
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Scoring and results assembly Christopher Manning 2017
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Latent Semantic Indexing Hinrich Sch¨utze 2014
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Information Retrieval 6 David Smith 2013
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Scoring, Term Weighting, The Vector Space Model Hinrich Sch¨utze 2014
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Query Modification Dragomir Radev 2018
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INFORMATION RETRIEVAL: THE VECTOR SPACE MODEL Trevor Cohn 2018
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Index Construction Christopher Manning 2017
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Web Search Hinrich Sch¨utze 2014
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Language Models for IR Hinrich Sch¨utze 2014
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Evaluation & Result Summaries Hinrich Sch¨utze 2014
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Information Retrieval 2 David Smith 2013
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Relevance Feedback & Query Expansion Hinrich Sch¨utze 2014
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Lecture 6: Vector Space Model Kai-Wei Chang 2016
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Document Ingestion,Tokenization, Stemming and Lemmatization Christopher Manning 2017
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Unsupervised Learning and Topic Modeling Yoav Goldberg 2018
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Boolean Retrieval Hinrich Sch¨utze 2014
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Estimating the Query Difficulty for Information Retrieval David Carmel, Elad Yom-Tov 2010
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Tolerant Retrieval Christopher Manning 2017
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Dynamic and random graph models of structure Aaron Clauset 2014
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Index Construction and Advanced Queries Trevor Cohn 2018
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Evaluation Christopher Manning 2017
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Ranking Principle Christopher Manning 2017
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Dictionaries and Tolerant Retrieval Hinrich Sch¨utze 2014
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Index compression and efficient query processing Trevor Cohn 2018
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Information Theory David McAllester 2017
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Compression Christopher Manning 2017
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Probabilistic Information Retrieval Hinrich Sch¨utze 2014
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Query Completion / Expansion Trevor Cohn 2018
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Language modeling Hugo Larochelle 2017
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Semi Supervised Retrieval, Pagerank Dragomir Radev 2018
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Information Retrieval 3 David Smith 2013
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Introduction to Information Retrieval Dragomir Radev 2018
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Evaluation Christopher Manning 2017
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Learning to Rank Hinrich Sch¨utze 2014
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Hypertext and Link Analysis Christopher Manning 2017
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MDPs II Percy Liang 2017
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Information Retrieval 1 David Smith 2013
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Learning Ranking Christopher Manning 2017
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Decision Networks and Value of Perfect Information Dan Klein and Pieter Abbeel 2014
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Introducing Information Retrieval and Web Search Christopher Manning 2017
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Document Ingestion,Tokenization, Stemming and Lemmatization Christopher Manning 2017
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Index Construction Hinrich Sch¨utze 2014
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Efficient Scoring Christopher Manning 2017
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Link Analysis Hinrich Sch¨utze 2014
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Information Retrieval 8 David Smith 2013
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Introduction to Information Retrieval Christopher Manning 2017
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Evaluation Christopher Manning 2017
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The term vocabulary and postings lists Hinrich Sch¨utze 2014
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Hypertext and Link Analysis Christopher Manning 2017
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Automatic Summarization (and other stuff) Dan Klein 2014
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Information Retrieval 4 David Smith 2013
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Lecture 6: (Probabilistic) Latent Semantic Analysis Julia Hockenmaier 2013
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Index Construction Christopher Manning 2017
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Index Compression Hinrich Sch¨utze 2014
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Scoring and results assembly Christopher Manning 2017
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Random Walks and Harmonic Functions Dragomir Radev 2018
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Efficient Scoring Christopher Manning 2017
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Information Retrieval 5 David Smith 2013
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Search Engine Architecture Dragomir Radev 2018
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Evaluation of Information Retrieval Dragomir Radev 2018
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Toolkits for Information Retrieval Dragomir Radev 2018
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Vector Space Models Sameer Singh 2017
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Tolerant Retrieval Christopher Manning 2017
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Crawling Hinrich Sch¨utze 2014
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Ranking problem Christopher Manning 2017
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Probabilistic Information Retrieval Christopher Manning 2017
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Title (link) Author Date Votes Error
Learning to Rank for Information Retrieval and Natural Language Processing Second Edition Hang Li 2015
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2016
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A Survey of Statistical Network Models Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg and Edoardo M. Airoldi 2010
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Chapter 8 Classical Models of Neural Networks Author Unknown 2018
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Neural Vector Spaces for Unsupervised Information Retrieval Christophe Van Gysel, Maarten De Rijke, Evangelos Kanoulas 2018
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An Introduction to Neural Information Retrieval Bhaskar Mitra, Nick Craswell 2017
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Web Crawling Christopher Olston and Marc Najork 2010
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A curated list of network embedding techniques Chih-Ming Chen 2017
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Cross Lingual Information Retrieval Jian-Yun Nie 2010
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A Survey on Neural Architecture Search Martin Wistuba 2019
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Query Expansion Techniques for Information Retrieval: a Survey Hiteshwar Kumar Azad, Akshay Deepak 2017
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Test Collection Based Evaluation of Information Retrieval Systems Mark Sanderson 2010
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Information Theory: A Tutorial Introduction James V Stone 1169
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Search Engines Information Retrieval in Practice W. Bruce Croft, Donald Metzler, Trevor Strohman 2015
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Estimating the Query Difficulty for Information Retrieval David Carmel and Elad Yom-Tov 2010
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Cross-Language Information Retrieval Jian-Yun Nie 2010
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A Survey on Open Information Extraction Christina Niklaus, Matthias Cetto, Andre Freitas, and Siegfried Handschuh 1169
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MATRICES, VECTOR SPACES, AND INFORMATION RETRIEVAL MICHAEL W. BERRY, ZLATKO DRMAC, AND ELIZABETH R. JESSUP 1999
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Information Retrieval Evaluation Donna Harman 2011
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Information Retrieval Models Foundations and Relationships Thomas Roelleke 2013
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Title (link) Author Date Votes Error
sotawhat Chip Huyen 2018
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NetworkX Benjamin Edwards, Dan Schult, Aric Hagberg, Jordi Torrents, Loïc Séguin-Charbonneau 2016
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python-igraph Tamás Nepusz, Gábor Csárdi 2005
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scholar.py Daniele Ciriello, Christian Kreibich 2013
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SyncPy Python Library Giovanna Varni, Mohamed Chetouani 2016
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Deep Relevance Ranking Using Enhanced Document-Query Interactions nlpaueb 2018
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QueryReformulator Rodrigo Frassetto Nogueira, Kyunghyun Cho 2017
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node2vec: Scalable Feature Learning for Networks Jure Leskovec 2016
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Word Statistics theofilis 2013
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Stanford Open Information Extraction - Python Wrapper Philippe R?my 2017
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Snap.py - SNAP for Python Jure Leskovec 2016
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Datefinder - Extract Dates from Text Author Unknown 2017
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LexNLP by LexPredict Not Available 2019
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topic_modeling_Gensim.ipynb Susan Li 2018
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Text retrieval ml4a 2017
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Gephi: The Open Graph Viz Platform Bastian M., Heymann S., Jacomy M. 2008
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TF-Ranking: A Scalable TensorFlow Library for Learning-to-Rank Xuanhui Wang, Michael Bendersky 2018
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Keras-GAN Erick Lindernoren 2018
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A library for working with graphs in Python Pedro Matiello 2016
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Capsule Network Daniel Havir 2018
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INDRI: Language modeling meets inference networks Author Unknown 2013
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Seq2Seq-Vis IBM Research 2018
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Title (link) Author Date Votes Error
Building a Content-Based Search Engine I: Quantifying Similarity Daniel Sabinasz 2018
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Artificial Intelligence applications in search engines Gabriel Jiménez 2018
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Why Initialize a Neural Network with Random Weights? Jason Brownlee 2018
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Highlights of EMNLP 2017: Exciting Datasets, Return of the Clusters, and More! Sebastian Ruder 2017
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Developing a fast Indexing and Full text Search Engine with Whoosh: A Pure-Python Library Abhijeet Kumar 2018
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What is the Difference Between a Batch and an Epoch in a Neural Network? Jason Brownlee 2018
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Understanding Hinton's Capsule Networks. Part 1: Intuition Max Pechyonkin 2017
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An Introduction to Graph Theory and Network Analysis (with Python codes) Guest Blog 2018
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Transformer: A Novel Neural Network Architecture for Language Understanding Jakob Uszkoreit 2017
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Building a Content-Based Search Engine II: Extracting Feature Vectors Daniel Sabinasz 2018
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Feature Visualization Chris Olah, Alexander Mordvintsev, Ludwig Schubert 2017
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Topic Modelling in Python with NLTK and Gensim Susan Li 2018
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Information Retrieval System explained in simple terms! Tavish Srivastava 2015
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Building a Content-Based Search Engine III: Feature Signatures Daniel Sabinasz 2018
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Use TextRank to Extract Most Important Sentences in Article Ceshine Lee 2018
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Building a Content-Based Search Engine IV: Earth Mover’s Distance Daniel Sabinasz 2018
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Introducing TF-Ranking Jesus Rodriguez 2018
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Generative Adversarial Networks - History and Overview Kiran Sudhir 2017
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Torchtext Author Unknown 2017
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5 Tasty Python Web Scraping Libraries Author Unknown 2017
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FreeDiscovery: E-Discovery and Information Retrieval Engine FreeDiscovery 2017
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Text to SQL The Allen Institute for Artificial Intelligence 2018
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Finding Investors Using Network Analytics Vishal Verma 2017
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Uncovering the Intuition behind Capsule Networks and Inverse Graphics: Part I Tanay Kothari 2017
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Auto-Keras Haifeng Jin, Qingquan Song, Xia Hu 2018
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What does Deep Learning Contribute to Search Tommaso Teofili 2018
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Web Scraping Tutorial with Python: Tips and Tricks Jekaterina Kokatjuhha 2018
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The Building Blocks of Interpretability Chris Olah 2018
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Graphs & paths: PageRank. David Pynes 2018
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Beam Search?—?A Search Strategy Prakhar Mishra 2018
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The 10 Neural Network Architectures Machine Learning Researchers Need To Learn James Le 2018
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Title (link) Author Date Votes Error
The local geometry of graphs, or, how to “read” large graphs Nati Linial 2017
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PageRank with DGL Message Passing Minjie Wang, Quan Gan, Yu Gai, Zheng Zhang 2019
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Large Graph Mining: Power Tools and a Practitioner's guide; Task 2: Community Detection Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Fusion in Information Retrieval J. Shane Culpepper, Oren Kurland 2018
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The Role of Wikipedia in Text Analysis and Retrieval Marius Pasca 2016
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Chapter 2: MapReduce and the New Software Stack Ullman 2011
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 3: Recommendations & proximity Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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The Duet Model: Learning to Match Using Local and Distributed Representations of Text for Web Search Bhaskar Mitra, Fernando Diaz, Nick Craswell 2017
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Notes on PageRank Chris McCormick 2015
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Chapter 10:Mining Social-NetworkGraphs Ullman 2011
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Building a search Engine with Python Dileep Kumar 2012
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 4: Center-piece Subgraphs Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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PageRank explained in simple terms! Tavish Srivastava 2017
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Label propagation on graphs Leonid E. Zhukov 2015
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 5: Graphs over time & tensors Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Learning to Map Context-Dependent Sentences to Executable Formal Queries Alane Suhr, Srinivasan Iyer, Yoav Artzi 2018
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Query Performance Prediction for IR David Carmel, Oren Kurland 2012
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Recent Trends in Network Science Hiroki Sayama 2016
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First steps with networkx glowingpython 2012
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NetworkX: Network Analysis with Python Petko Georgiev 2014
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 6: Virus/Influence Propagation Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Graph-based Text Representations Fragkiskos D. Malliaros 2018
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Investigating the Successes and Failures of BERT for Passage Re-Ranking "Harshith Padigela, Hamed Zamani, and W. Bruce Croft" 2019
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Neural Networks for Information Retrieval Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra 2017
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Modeling Sequential Data with Neural Networks Chris Dyer 2018
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Betweenness Centrality glowingpython 2012
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Network methods for NLP Noah Amsel 2018
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Large Graph Mining: Power Tools and a Practitioner’s guide; Theory Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Crosslingual Information Retrieval Rui Zhang 2018
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Information retrieval "Drago Radev, Qiaozhu Mei" 2016
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Representation Learning with Networks Jure Leskovec 2017
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Sequence Modeling with Neural Networks Harini Suresh 2018
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 8: hadoop and Tera/Peta byte graphs Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Neural Models for Information Retrieval Bhaskar Mitra 2017
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Neural Information Retrieval Daniel Keller 2018
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Community Detection in Networks Jure Leskovec 2017
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Four ways to compute the Google Pagerank glowingpython 2012
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Two Lessons I have recently learned (1) Parallel Decoding of a Sequence (2) Meta-Learning Kyunghyun Cho 1180
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Large Graph Mining: Power Tools and a Practitioner’s guide; Conclusion Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Beginner's guide to Web Scraping in Python (using BeautifulSoup) Sunil Ray 2015
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Networks and Optimization Jure Leskovec 2017
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Is there a simple explanation of the Louvain Method of community detection? Shankar Iyer 2015
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Human Decisions and Machine Predictions Jure Leskovec 2017
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Large Graph Mining: Power Tools and a Practitioner’s guide; Intro Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Neural Information Retrieval: A Literature Review Ye Zhang, Md Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wa 2017
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Fanfiction, Graphs, and PageRank Christopher Olah 2014
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Learning Representations of Large-Scale Networks Jian Tang, Cheng Li, Qiaozhu Mei 2017
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Large Graph Mining: Power Tools and a Practitioner’s guide;Task 1: Node importance Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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The Role of Wikipedia in Text Analysis and Retrieval Marius Pas?ca 2016
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Where Will Your Country Stand in World War III? Annalyn Ng 2016
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Random walk vectors for clustering (part I – similarity between objects) Int8 2015
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