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Lecture: Vector/Distributional Semantics

Lecture: Vector/Distributional Semantics

Topics: term-context matrix, distributional models, Zellig Harris, John Rupert Firth, PMI, Pointwise Mutual Information, PPMI, Positive Pointwise Mutual Information, joint probability, marginals, smoothing, cosine metric, cosine similarity measure, dot product, vectors. Lecture: Vector Semantics (aka Distributional 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 »

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Book Review: Fundamentals of Predictive Text Mining 2nd Ed. (2015) — Draft

Book Review: Fundamentals of Predictive Text Mining 2nd Ed. (2015) — Draft

Book Review: Weiss S. M., Indurkhya N. and Zhang T. (2015). Fundamentals of Predictive Text Mining. Springer-Verlag, London. Second Edition The volume “Fundamentals of Predictive Text Mining”, 2nd ed. has nine chapters, a table of contents, a list of references, a Subject Index and an Author Index. The book also includes a Preface written by the three authors, Summary Abbriavions: ML=Machine Learning; NLP=Natural … Read entire article »

Lecture: Word Sense Disambiguation

Lecture: Word Sense Disambiguation

Topics: word sense disambiguation, wsd, thesaurus-based methods, dictionary-based methods, supervised methods, lesk algorithm, michael lesk, simplified lesk, corpus lesk, graph-based methods, word similarity, word relatedness, path-based similarity, information content, surprisal, resnik method, lin method, elesk, extended lesk, semcor, collocational features, bag-of-words features, the window, lexical semantics, computational semantics, semantic analysis in language technology. Lecture: Word Sense Disambiguation … Read entire article »

Lecture: Word Senses

Lecture: Word Senses

Outline: word senses, lexical semantics, homonymy, polysemy, metonymy, meronymy, antonomy, synonmy, hyponymy, hypernymy, wordnet, mesh, babelnet, lemma, wordform, zeugma test, senseval, selectional restrictions, membership meronymy, part-whole meronymy, semantic analysis, language technology Lecture: Word Senses from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this … Read entire article »

Lecture: Sentiment Analysis

Lecture: Sentiment Analysis

Topics: sentiment analysis, affective meaning, connotational aspects, sentiment lexicons, naive bayes baseline algorithm, mutual information, pointwise mutual information, computational semantics, likelihood, Scherer’s typology, emotion classification, opinion mining, sentiment mining, subjectivity analysis, manually-built sentiment lexicons, semi-supervised methods, SentiWordnet, General Enquirer, earning sentiment lexicons, Turney algorithm Sentiment Analysis from Marina Santini Bookmark on Delicious Recommend on Facebook … Read entire article »

Lecture: Semantic Role Labeling

Lecture: Semantic Role Labeling

Topics: Semantic Role Labeling, Thematic Roles, Semantic Roles, PropBank, FrameNet, Selectional Restrictions, Shallow semantics, Shallow semantic representation, Predicate-Argument structure, Computational semantics Semantic Role Labeling 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: Semantics and Computational Semantics

Lecture: Semantics and Computational Semantics

Topics: logic and language, formal theories, formal semantics, unification, first-order logic, predicate logic, propositional logic, semantics, computational semantics, meaning representation, connotation, denotation. Semantics and 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 »

Course Start: Semantic Analysis in Language Technology

Spring 2016 Semantic Analysis in Language Technology at Uppsala University (Sweden) http://stp.lingfil.uu.se/~santinim/sais/2016/sais_2016.htm Topics: Semantics and Computational Semantics Semantic Role Labelling/Predicate-Argument Structure Sentiment Analysis Word Sense Disambiguation Vector Semantics Information Extraction (I & II) Question Answering (I & II) Ontologies and the Semantic Web (I & II) Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »

Lecture 9: Machine Learning in Practice (2)

Lecture 9: Machine Learning in Practice (2)

Topics: features representation, unbalanced data, multiclass classification, theoretical modelling, real-world implementations, evaluation, holdout estimation, crossvalidation, leave-one-out, bootstrap Lecture 9: Machine Learning in Practice (2) 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 8: Machine Learning in Practice (I)

Topics: evaluation, t-­test, cost-sensitive measures, occam’s razor, k-statistic, lift charts, ROC curves, recall-precision curves, loss function, counting the cost, weka Lecture 8: Machine Learning in Practice (1) 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 »