IR Tools

1. Scrapy
2. Apache Lucene
3. Apache Solr
4. Elastic Search
5. NLTK
6. DARPA’s Memex Tools
7. Scrapy Cluster
8. Portia
9. slate
10. pdfminer
11. pdfrw
12. OpenRefine
13. News Corpus Builder
14. Google All Pair Similarity Search
15. Wukong - Chineese Search Engine in Go
16. YAGO
17. [NELL])(http://rtw.ml.cmu.edu/rtw/kbbrowser/)
18. Tweet NLP
19. GATE
20. CRF Suite
21. jusText
22. A curated list of speech and natural language processing resources
23. entity-recognition
24. The CMU-Cambridge Statistical Language Modeling Toolkit v2

Courses

1. Stanford Course
2. Information Integration
3. Information Extraction
4. Natural Language Procesing
5. Stanford: Natural Language Processing
6. Machine Tranlation Class
7. Natural Language Generation
8. Data Mining and Text Mining
9. Networks
10. Social Media Analytics
11. Natural Language Understanding
12. MOOC NLP Slides
13. Advanced NLP

Talks & Papers

1. Challenges in Building Large-Scale Information Retrieval Systems
2. Tutorial: Web Information Retrieval
3. Learning to Rank
4. Solution for the Search Result Relevance Challenge
5. Algorithms for Duplicate Documents
6. HyperLogLog and MinHash
7. Detecting Near-Duplicates for Web Crawling
8. Bag of Words Meets Bags of Popcorn
9. A Statistical MT Tutorial Workbook
10. Exploting Wikipedia for IR Tasks
11. Boilerplate detection using shallow features
12. Briding the structured and unstructured gap: Searching Annotated Web
13. Building blocks for semantic search engine
14. Sentiment Symposium Tutorial
15. Fuzzy string matching using cosine similarity
16. Learning by Example: Training Users with High-quality Query Suggestions
17. Analyzing User’s Sequential Behavior in Query Auto-Completion via Markov Processes
18. Optimal insertion in deterministic DAWGs
19. Introduction to Probabilistic Topic Models
20. How Google Set Works
21. LDA Beginners Tutorial
22. Galene - LinkedIn’s Search Architecture: Presented by Diego Buthay & Sriram Sankar, LinkedIn
23. Did you mean Galene?
24. The Many Facets of Faceted Search
25. Under The Hood Building Graph Search
26. Under the Hood: Building out the infrastructure for Graph Search
27. Under the Hood: Indexing and ranking in Graph Search
28. SIGIR 2014 Tutorials
29. SoMeRA 2014: International Workshop on Social Media Retrieval and Analysis
30. Semantic Matching and Information Retrieval
31. Gathering Assesment of Relevance
32. Entity Recognition and Disambiguation Challenge
33. Web Page Sectioning Using Regex-based Templates
34. Learning and Matching Human Activities using Regular Expression
35. RoadRunner
36. Efficient Query Evaluation using a Two-Level Retrieval Process
37. String Algorithms
38. Building, Maintaining, and Using Knowledge Bases: A Report from the Trenches
39. RoboBrain
40. Knowledge Base Completion via Search-Based Question Answering
41. Inside YAGO
42. Notes on Knowledge Representation
43. Ontology-Based Semantic Search on the Web
44. Large Scale Name Entity Disambiguation Based on Wikipedia Data
45. Parsing with Word Vectors
46. Building Expert System in Prolog
47. Using Encyclopedic Knowledge for Named Entity Disambiguation
48. Building Taxonomy of Web Search Intents for Name Entity Queries
49. Classifying Web Queries by Topic and User Intent
50. Clustering Query Refinements by User Intent
51. Object Level Vertical Resource
52. Query Classification using Wikipedia’s Graph
53. Active Objects: Actions for Entity-Centric Search
54. Query Classification KDDCUP 2005
55. Substring Search Algorithm
56. Web Query Classification
57. Query Enrichment for Web-query Classification
58. Teaching Machines to Read and Comprehend
59. Statistical Machine Translation: the basic, the novel, and the speculative
60. Machine Translation for all European Languages
61. GraphChi - Large-Scale Graph Computation on Just a PC
62. Similarity Evaluation on Tree-structured Data
63. Using Bloom Filters to Refine Web Search Results
64. Extracting social networks and contact information from email and the Web
65. Pizza Ontology
66. Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
67. Visual Rank: Applying PageRank to Large-Scale Image Search
68. Image Retrieval using Scene Graph
69. Towards Total Scene Understanding
70. Neural Machine Translation
71. Traversing Knowledge Graphs in Vector Space
72. A large annotated corpus for learning natural language inference
73. Forum77: An Analysis of an Online Health Forum Dedicatedto Addiction Recovery
74. Disaster Monitoring with Wikipedia and Online Social Networking Sites
75. Deep Learning for NLP
76. Making Watson Fast
77. Navigating themes in restaurant reviews with Word Mover’s Distance
78. A Word is Worth a Thousand Vectors
79. FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
80. Scale-up Graph Processing in Single Computer
81. Creating your own programming Language with ANTLR
82. Short Text Similarity with word Embeddings
83. An Inside View of Language Technologies at Google
84. Computer, respond to this email.
85. Sequence to Sequence Learning with Neural Network
86. Thought Vectors
87. Thought Vectors, Deep Learning & Future of AI
88. Skip Thought Vectors
89. How Google Converted Language Translation Into a Problem of Vector Space Mathematics
90. Google Is Working On A New Type Of Algorithm Called “Thought Vectors”
91. Representing Text for Joint Embedding of Text and Knowledge Bases

Resources

1. IR Book
2. Search Engines - Information Retrieval
3. Natural Language Processing: What are the most important research papers which all NLP students should definitely read?
4. An introduction to Bioinformatics Algorithms
5. How many processors does a Google search query touch?
6. Fast approximate string matching with large edit distances in Big Data
7. Search User Interfaces
8. Speech and Language Processing - DRAFT
9. A Primer on Neural Network Models for Natural Language Processing

Blogs

1. Salmon Run
2. Natural Language Processing Blog
3. Text Mining, Analytics & More
4. LingPipe Blog
5. Decontextualize