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Book Chapter: Genre and Terminology by Margaret Rogers (2000)

Useful insights about the relation between domain-specific lexicons and the corpus-driven approach to terminology Genre and Terminology by Margaret Rogers Chapter in: Analysing Professional Genres Edited by Anna Trosborg, John Benjamins [Pragmatics & Beyond New Series 74] 2000 Googlebook: 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: Semantic Word Clouds

Lecture: Semantic Word Clouds

Topics: folksonomy, social tagging, tag clouds, automatic folksonomy construction, word clouds, wordle,context-preserving word cloud visualisation, CPEWCV, seam carving, inflate and push, star forest, cycle cover, quantitative metrics, realized adjacencies, distortion, area utilization, compactness, aspect ratio, running time, semantics in language technology Lecture: Semantic Word Clouds from Marina Santini Bookmark on Delicious Recommend on Facebook Share on … Read entire article »

Lecture: Ontologies and the Semantic Web

Lecture: Ontologies and the Semantic Web

Topics: Semantic Web, Web 3.0, shared understanding, shared semantic annotation, tree of Porphyry, ontology,wordnet, mesh,rdf, iri, description logics, DLs, Owl, WebProtege, domain-specific,Sparql, tags, ontology learning, classes, relations, axioms, instances, semantics in language technology. Lecture: Ontologies and the Semantic Web from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to … Read entire article »

Lecture: Summarization

Lecture: Summarization

Topics: abstracting, extractive summarization, abstractive summarization, summarization in question answering, single vs. multiple documents, query-focused summarization, snippets, unsupervised content selection, topic signature-based content selection, rouge, recall oriented understudy for gisting evaluation, semantics in language technology, Lecture: Summarization from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments … Read entire article »

Lecture: Relation Extraction

Lecture: Relation Extraction

Topic: databases of relations, knowledge graph, DBpedia, freebase, ACE, relation extractors, hand-written patterns, supervised machine learning, semi-supervised learning, bootstrapping, distant supervision, unsupervised learning from the web, semantic analysis in language technology. Relation Extraction 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: Probability and Statistics for Language Technology

Course: Probability and Statistics for Language Technology

Uppsala University – Department of Linguistics and Philology Topics: elementary concepts in probability theory, such as unconditional and conditional probability, Bayes’ theorem, and the law of total probability; elementary concepts in statistics such as sample, estimation, and hypothesis testing. Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments on this post … Read entire article »

Lecture: Question Answering

Lecture: Question Answering

Topics: IBM’s Watson, Apple’s Siri, WolframAlpha, factoid questions, complex questions, narrative questions, IR-based approaches, knowledge-based approaches, hybrid approaches, IR-based question answering, answer type taxonomy, passage retrieval,mean reciprocal rank, MRR, semantic analysis in language technology Lecture: Question Answering from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it Subscribe to the comments … Read entire article »

Lecture: IE – Named Entity Recognition (NER)

Lecture: IE – Named Entity Recognition (NER)

Topics: Information Extraction, Named Entity Recognition, NER, text analytics, text mining, e-discovery, unstructured data, structured data, calendaring, standard evaluation per entity, standard evaluation per token, sequence classifier, sequence labeling, word shapes, semantic analysis in language technology IE: Named Entity Recognition (NER) from Marina Santini Bookmark on Delicious Recommend on Facebook Share on Linkedin Tweet about it … Read entire article »

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 … Read entire article »

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

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

Book Review: Weiss S. M., Indurkhya N. and Zhang T. (2015). Fundamentals of Predictive Text Mining. Springer-Verlag, London. Second Edition Informer website Winter 2016 Issue, Book Review 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 … Read entire article »