Semantic Technologies for Web Solutions
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Research Papers and Articles

- Daoud Clarke. [2011] A Context-theoretic Framework for Compositionality in Distributional Semantics.
- Paola Di Maio. [2008] Toward Global User Models for Semantic Technologies: Emergent Perspectives.
- Rutz, Oliver J. and Bucklin, Randolph E. [2007] A Model of Individual Keyword Performance in Paid Search Advertising.
- MISHARI ALMISHARI and XIN LIU and XIAOWEI YANG. [2008] Content-Based Approach for Indentifying Textual Ads-Portal Domains.
- Paat Rusmevichientong and David P. Williamson. [2007] An Adaptive Algorithm for Selecting Profitable Keywords for Search-Based Advertising Services.
- Anindya Ghose and Sha Yang. [2010] An Empirical Analysis of Search Engine Advertising:Sponsored Search in Electronic Markets.
- Eriks Sneiders. [2010] Automated Email Answering by Text Pattern Matching.
- Sujith Raviz, Andrei Brodery, Evgeniy Gabrilovichy, Vanja Josifovskiy, Sandeep Pandeyy, Bo Pang. [2010] Automatic Generation of Bid Phrases for Online Advertising.
- Gilad Mishne and Maarten de Rijke. [2005] Boosting Web Retrieval through Query Operations.
- Sonal Gupta, Mikhail Bilenko, Matthew Richardson. [2009] Catching the Drift: Learning Broad Matches from Clickthrough Data.
- Shmuel Brody. [2005] Cluster-Based Pattern Recognition in Natural Language Text.
- Jeff Mitchell, Mirella Lapata. [2009] Composition in Distributional Models of Semantics.
- Alessandro Lenci, Roberto Zamparelli. [2010] Compositionality and Distributional Semantic Models An introduction.
- Wen-tau Yih and Christopher Meek. [2008] Consistent Phrase Relevance Measures.
- Sebastian Padů and Mirella Lapata. [2007] Dependency-Based Construction of Semantic Space Models.
- Rutu Mulkar-Mehta, Jerry R. Hobbs, Chun-Chi Liu and Xianghong Jasmine Zhou. [2009] Discovering Causal and Temporal Relations in Biomedical Texts.
- Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh. [2004] Document Preprocessing For Naive Bayes Classification and Clustering with Mixture of Multinomials.
- Kevyn Collins-Thompson. [2008] Estimating Robust Query Models with Convex Optimization.
- Prasanna Ganesan, Hector Garcia-Molina, Jennifer Widom. [2008] Exploiting Hierarchical Domain Structure to Compute Similarity.
- Omid Madani. [2007] Exploring Massive Learning via a Prediction System.
- Jian Huang, Jianfeng Gao, .... [2010] Exploring Web Scale Language Models for Search Query Processing.
- Peter D. Turney and Patrick Pantel. [2010] From Frequency to Meaning: Vector Space Models of Semantics.
- S.R.K. Branavan, Pawan Deshpande and Regina Barzilay. [ 2007] Generating a Table-of-Contents.
- Svetlana Kiritchenko and Mikhail Jiline. [2008] Keyword Optimization in Sponsored Search via Feature Selection.
- Ralf Schimmel. [2010] Keyword Suggestion for Search Engine Marketing.
- Michael Bendersky, Donald Metzler, W. Bruce Croft. [2010] Learning Concept Importance Using a Weighted Dependence Model.
- S.R.K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay. [2009] Learning Document-Level Semantic Properties from Free-Text Annotations.
- Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurnink, and Maarten de Rijke. [2009] Learning Semantic Query Suggestions.
- Wen-tau Yih. [2009] Learning Term-weighting Functions for Similarity Measures.
- Cheng-Tao Chu, Sang Kyun Kim, .... [2010] Map-Reduce for Machine Learning on Multicore.
- Dekang Lin, Kenneth Church, Heng Ji .... [2010] New Tools for Web-Scale N-grams.
- Ram Gopal, Xinxin Li, Ramesh Sankaranarayanan. [2009] Online Keyword Based Advertising: Impact of Ad Impressions on Own-Channel and Cross-Channel Click-Through Rates.
- Dekang Lin and Xiaoyun Wu. [2009] Phrase Clustering for Discriminative Learning.
- Ye Chen, Dmitry Pavlov, Pavel Berkhin, Aparna Seetharaman, Albert Meltzer. [2009] Practical Lessons of Data Mining at Yahoo!.
- Kevyn Collins-Thompson, Paul N. Bennett. [2010] Predicting Query Performance via Classification.
- Ben He, Iadh Ounis. [2006] Query Performance Prediction.
- Christina Sauper and Regina Barzilay. [2008] Automatically Generating Wikipedia Articles: A Structure-Aware Approach.
- Sudipto Das, Yannis Sismanis, .... [2010] Ricardo: Integrating R and Hadoop.
- Ashish Agarwal, Tridas Mukhopadhyay. [2009] Search Engine Advertising: Empirical Analysis of Advertisersí Bids & Performance.
- Guihong Cao, Jian-Yun Nie, Jianfeng Gao, Stephen Robertson. [2008] Selecting Good Expansion Terms for Pseudo-Relevance Feedback.
- Bharath Sriram, David Fuhry, Murat Demirbas. [2010] Short Text Classification in Twitter to Improve Information Filtering.
- Nikhil R. Devanur, Thomas P. Hayes. [2009] The Adwords Problem: Online Keyword Matching with Budgeted Bidders under Random Permutations.
- Peter E Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, Robert L. Mercer. [2003] The Mathematics of Statistical Machine Translation: Parameter Estimation.
- Alec Go, Richa Bhayani, Lei Huang. [2010] Twitter Sentiment Classification using Distant Supervision.
- Michael Bendersky, W. Bruce Croft, David Smith. [2009] Two-Stage Query Segmentation for Information Retrieval.
- Jeff Mitchell and Mirella Lapata. [2008] Vector-based Models of Semantic Composition.
- Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng .... [2004] Web-page Classification through Summarization.
- Patrick Pantel, Eric Crestan, Arkady Borkovsky .... [2009] Web-Scale Distributional Similarity and Entity Set Expansion.
- Shane Bergsma, Dekang Lin, Randy Goebel. [2009] Web-Scale N-gram Models for Lexical Disambiguation.
- Edward Benson, Aria Haghighi, and Regina Barzilay. [2011] Event Discovery in Social Media Feeds.
- Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay. [2009] Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.
- Kamran Massoudi, Manos Tsagkias, Maarten de Rijke, and Wouter Weerkamp. [2011] Incorporating Query Expansion and Quality Indicators in Searching Microblog Posts.
- Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky. [2009] Distant supervision for relation extraction without labeled data.
- Valentina Zanardi and Licia Capra. [2008] Social Ranking: Finding Relevant Content in Web 2.0.
- Panagiotis Symeonidis, Alexandros Nanopoulos, and Yannis Manolopoulos. [2008] Justified Recommendations based on Content and Rating Data.
- Alan Ritter, Sam Clark, Mausam and Oren Etzioni. [2011] Named Entity Recognition in Tweets: An Experimental Study.


Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources
The Stanford Natural Language Processing Group
Social Media Stock Market Trend Analysis and Prediction
Amazon Web Services
Semantic Technology (Wikipedia)
FROG: Dutch morpho-syntactic analysis and dependency parser
SIGIR - creating, manipulating and presenting language data
The Cambridge Semantic Web Meetup Group
Phrase Extraction & Named Entity Recognition
NLP related modules in CPAN
Natural Language Toolkit Python
CSAIL - MIT Computer Science and Artificial Intelligence Laboratory
Cambridge Semantics
twitrratr - distinguish negative from positive tweets..
dev.twitter - Twitter API
Big Learning
Mark Davies corpora, find the frequency of words, phrases, and collocates, etc. 2016. All Rights Reserved.