In this post, you can find the links to the free online course on Natural Language that Professor Dan Jurafsky & Chris Manning offered on Coursera in 2012. It was a very successful and well-designed course. It is an ideal…
Category: slides
ML4LT: Machine Learning for Language Technology – A Gentle Introduction
— Last Updated: 27 Feb 2017 — Log: Debriefing available (Jan 2016) Marina Santini’s contact details: marinasantini dot ms at g-m-a-i-l ML4LT is an online self-paced introductory course in Machine Learning for Language Technology. It has been designed for linguists…
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…
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…
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
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
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
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…
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
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,…