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Lecture: Semantic Word Clouds
Semantics in Language Technology: Lecture: Semantic Word Clouds Course website: http://stp.lingfil.uu.se/~santinim/sais/2014/sais_2014.htm Outline: word clouds, semantic word clouds, tag clouds, quantitative evaluation, wordle, similarity, dissimilarity, evaluation criteria, layout, semantically-related words, meaningful adjacencies Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
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Lecture 2: Basic Concepts in Machine Learning for Language Technology
Machine Learning for Language Technology 2014 – Course Schedule … Read more »
Looking for Corpora to explore Cross-Linguality
Dear All, I am looking for corpora of any genre in the following languages: English, Swedish, Polish, Italian, Finnish, Estonian, and Hungarian. I am already aware of a number of corpora (several posts in this … Read more »
Towards a Cross-Lingual Lexical Knowledge Base of Lexical Forms
Last updated: 15 May 2013 How do you overcome problems related to cross-linguality? My specific problem at them moment is caused by the poor coverage of everyday language in lexical resources. For instance, … Read more »
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Report: Language in the Digital Age - META-NORD National Workshop
Report: Language in the Digital Age - META-NORD National Workshop by Marina Santini Held in Stockholm, Sweden, 23 Nov 2012 Download program and presentations here. I was very happy to attend the workshop "Language in the … Read more »
Book Review: Genres on the Web (Mehler et al. 2010)
Post signed by: Michael Oakes, University of Sunderland and Uni Research, Bergen. Excerpts from the book review: Alexander Mehler, Serge Sharoff and Marina Santini (eds), Genres on the Web: Computational Models and Empirical … Read more »
Presentation: How Emotional Are Users' Needs? Emotion in Query Logs
According to recent IR research, searchers’ behaviour is not only limited to traditional informational, navigational and transactional needs. A novel hypothesis is that the seeking behaviour is driven by emotion. These experiments are … Read more »
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Lecture: The Semantic Web & Ontologies
Semantics in Language Technology: Lecture: The Semantic Web & Ontologies Course website: http://stp.lingfil.uu.se/~santinim/sais/2014/sais_2014.htm 09 semantic web & ontologies from Marina Santini Outline: the semantic web, ontologies, RDF, OWL, description logics Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture: Semantic Role Labelling
Semantics in Language Technology: Lecture 3 – Semantic Role Labelling Lecture 3: Semantic Role Labelling from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture: Computational Semantics – Overview
Semantics in Language Technology: Lecture 2 – Computational Semantics, An Overview Lecture 2: Computational Semantics from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture 10: SVM and MIRA
Course website: Machine Learning for Language Technology Lecture 10: SVM and MIRA from Marina Santini Outline: margin, margin infused relaxed algorithm, maximizing margin, mira, support vectors machines, svm, the norm Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture 9: Perceptron
Course website: Machine Learning for Language Technology Lecture 9 Perceptron from Marina Santini Outline: feature representation, main theorem, margin and separability, perceptron Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture 6: Hidden Variables and Expectation-Maximization
Lecture 6: Hidden Variables and Expectation-Maximization from Marina Santini Outline Maximum Likelihood Estimation, Hidden and Latent Variables, Expectation-Maximization, EM for Naive Bayes Course Website: http://stp.lingfil.uu.se/~santinim/ml/2014/ml4lt_2014.htm Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture 8: Decision Trees and k-Nearest Neighbors
Lecture 8: Decision Trees & k-Nearest Neighbors from Marina Santini Outline Decision trees, best split, entropy, information gain, gain ratio, k-Nearest Neighbors, distance metric. Course Website: http://stp.lingfil.uu.se/~santinim/ml/2014/ml4lt_2014.htm Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture 7: Hidden Markov Models
Lecture 7: Hidden Markov Models (HMMs) from Marina Santini Outline: Hidden Markov Models (HMMs), Markov Assumptions, Problems for HMMs, Algorithms for HMMs, POS Tagging with HMMs, Smoothing for POS Tagging Course Website: http://stp.lingfil.uu.se/~santinim/ml/2014/ml4lt_2014.htm Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
Lecture 5 Bayesian Classification
Lecture 5: Bayesian Classification from Marina Santini Outline: Bayesian Classification, Instance Attributes, Naive Bayes Classifiers, Naive Bayes in NLP, Spam Filtering Course Website: http://stp.lingfil.uu.se/~santinim/ml/2014/ml4lt_2014.htm Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »
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