{"id":5857,"date":"2023-04-17T17:58:33","date_gmt":"2023-04-17T20:58:33","guid":{"rendered":"https:\/\/www.inf.ufrgs.br\/profcomp\/?page_id=5857"},"modified":"2024-03-05T09:08:29","modified_gmt":"2024-03-05T12:08:29","slug":"cmp617","status":"publish","type":"page","link":"https:\/\/www.inf.ufrgs.br\/profcomp\/lista-de-disciplinas\/cmp617\/","title":{"rendered":"CMP617"},"content":{"rendered":"<table width=\"1287\">\n<tbody>\n<tr>\n<td width=\"7\"><\/td>\n<td width=\"75\"><strong>CMP617<\/strong><\/td>\n<td colspan=\"2\" width=\"1205\"><strong>T\u00f3picos especiais em computa\u00e7\u00e3o DCXVII &#8211; Processamento de Linguagem Natural e<\/strong><\/p>\n<p><strong>\u00a0Recupera\u00e7\u00e3o de Informa\u00e7\u00f5es<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\" width=\"630\"><a href=\"https:\/\/www.inf.ufrgs.br\/site\/docente\/viviane-pereira-moreira\/\"><strong><em>Profa. Viviane Moreira<\/em><\/strong><\/a><\/p>\n<p><strong>Carga Hor\u00e1ria Total:<\/strong> <strong>60<\/strong> horas\/aula<\/td>\n<td width=\"657\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\" width=\"630\"><strong>Cr\u00e9ditos:<\/strong> <strong>4<\/strong><\/p>\n<p>Semestre 2023\/1<\/td>\n<td width=\"657\"><\/td>\n<\/tr>\n<tr>\n<td width=\"7\"><\/td>\n<td width=\"75\"><\/td>\n<td width=\"548\"><\/td>\n<td width=\"657\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Objetivo<\/strong><\/p>\n<p>Apresentar conceitos de processamento de linguagem natural e recupera\u00e7\u00e3o de informa\u00e7\u00f5es textuais utilizando tecnologias e modelos do estado da arte de forma a propiciar ao aluno um leque de conhecimento que permita ao mesmo desenvolver seus pr\u00f3prios projetos nessas \u00e1reas.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conte\u00fado<\/strong><\/p>\n<ul>\n<li>Propriedades estat\u00edsticas dos textos<\/li>\n<li>Pr\u00e9-processamento de textos<\/li>\n<li>Formas de representa\u00e7\u00e3o\n<ul>\n<li>Bag of Words<\/li>\n<li>Embeddings Fixas<\/li>\n<li>Embeddings Contextuais<\/li>\n<\/ul>\n<\/li>\n<li>Tarefas T\u00edpicas de Processamento de Linguagem Natural (<em>part of speech tagging<\/em> e reconhecimento de entidades nomeadas).<\/li>\n<li>Grandes Modelos de Linguagem pr\u00e9-treinados<\/li>\n<li>Aplica\u00e7\u00f5es (classifica\u00e7\u00e3o, sumariza\u00e7\u00e3o, rotula\u00e7\u00e3o de sequ\u00eancias)<\/li>\n<li>Indexa\u00e7\u00e3o de documentos<\/li>\n<li>Modelos de Recupera\u00e7\u00e3o de Informa\u00e7\u00f5es<\/li>\n<li>Avalia\u00e7\u00e3o da Qualidade<\/li>\n<li>T\u00e9cnicas de melhoria de desempenho<\/li>\n<li>Recupera\u00e7\u00e3o de Informa\u00e7\u00f5es na Web<\/li>\n<\/ul>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>T\u00e9cnicas de Ensino<\/strong><\/p>\n<ul>\n<li>Aulas te\u00f3ricas presenciais envolvendo a exposi\u00e7\u00e3o e discuss\u00e3o de conte\u00fados<\/li>\n<li>Algumas (poucas) aulas podem ocorrer na modalidade ensino a dist\u00e2ncia.<\/li>\n<li>Discuss\u00e3o de artigos cient\u00edficos.<\/li>\n<li>Exerc\u00edcios e trabalhos pr\u00e1ticos.<\/li>\n<\/ul>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Avalia\u00e7\u00e3o<\/strong><\/p>\n<p>A avalia\u00e7\u00e3o consiste em 3 componentes:<\/p>\n<ul>\n<li><strong>C1 (35%): <\/strong>Exerc\u00edcios realizados em aula<\/li>\n<li><strong>C2 (35%): <\/strong>Trabalho escrito individual + apresenta\u00e7\u00e3o<\/li>\n<li><strong>C3 (30%): <\/strong>Prova<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>A m\u00e9dia final ser\u00e1 calculada da seguinte maneira:<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"285\"><strong>MF = 0,35*C1 + 0,35*C2 + 0,30*C3<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>A convers\u00e3o da MF para conceitos \u00e9 feita por meio da seguinte tabela:<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"135\">9,0 &lt;= MF &lt;= 10,0<\/td>\n<td width=\"163\"><strong>conceito A <\/strong>(<em>aprovado<\/em>)<\/td>\n<\/tr>\n<tr>\n<td width=\"135\">7,5 &lt;= MF &lt; 9,0<\/td>\n<td width=\"163\"><strong>conceito B<\/strong> <em>(aprovado)<\/em><\/td>\n<\/tr>\n<tr>\n<td width=\"135\">6,0 &lt;= MF &lt; 7,5<\/td>\n<td width=\"163\"><strong>conceito C <\/strong><em>(aprovado)<\/em><\/td>\n<\/tr>\n<tr>\n<td width=\"135\">MF &lt; 6,0<\/td>\n<td width=\"163\"><strong>D<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"135\">Frequ\u00eancia &lt; 75%<\/td>\n<td width=\"163\"><strong>FF<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u00a0<\/strong><\/p>\n<p>Recupera\u00e7\u00e3o do Conceito <strong>D<\/strong>: O aluno que tiver obtido conceito <strong>D<\/strong> poder\u00e1, a crit\u00e9rio da professora, realizar uma atividade de recupera\u00e7\u00e3o. Caso aprovado, seu conceito final ser\u00e1 <strong>C<\/strong>.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Bibliografia B\u00e1sica<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ul>\n<li>Dan Jurafsky and James E. Martin. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (3rd ed. draft), 2023. Dispon\u00edvel em <a href=\"https:\/\/web.stanford.edu\/~jurafsky\/slp3\/\">https:\/\/web.stanford.edu\/~jurafsky\/slp3\/<\/a><\/li>\n<li>Christopher D. Manning, Prabhakar Raghavan and Hinrich Sch\u00fctze, <em>Introduction to Information Retrieval<\/em>, Cambridge University Press. 2008. Draft. Dispon\u00edvel em: <a href=\"http:\/\/www-csli.stanford.edu\/~schuetze\/information-retrieval-book.html.\">http:\/\/www-csli.stanford.edu\/~schuetze\/information-retrieval-book.html.<\/a><\/li>\n<li>Artigos Selecionados que ser\u00e3o indicados no transcorrer da disciplina.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Bibliografia Complementar<\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>Rothman, Denis. Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more. Packt Publishing Ltd, 2<sup>nd<\/sup> Edition 2022.<\/li>\n<li>Bruce Croft, Donald Metzler and Trevor Strohman. <em>Search Engines Information Retrieval in Practice <\/em>Pearson Education, Inc<em>. <\/em>2015. Dispon\u00edvel em: <a href=\"http:\/\/ciir.cs.umass.edu\/downloads\/SEIRiP.pdf\">http:\/\/ciir.cs.umass.edu\/downloads\/SEIRiP.pdf<\/a><\/li>\n<li>Baeza-Yates, R. <em>Recupera\u00e7\u00e3o de informa\u00e7\u00e3o: conceitos e tecnologia das m\u00e1quinas de busca<\/em>. Bookman, 2013, 590p.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>CMP617 T\u00f3picos especiais em computa\u00e7\u00e3o DCXVII &#8211; Processamento de Linguagem Natural e \u00a0Recupera\u00e7\u00e3o de Informa\u00e7\u00f5es Profa. Viviane Moreira Carga Hor\u00e1ria Total: 60 horas\/aula Cr\u00e9ditos: 4 Semestre 2023\/1 \u00a0 Objetivo Apresentar conceitos de processamento de linguagem natural e recupera\u00e7\u00e3o de informa\u00e7\u00f5es textuais utilizando tecnologias e modelos do estado da arte de forma a propiciar ao aluno [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":462,"menu_order":617,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/5857"}],"collection":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/comments?post=5857"}],"version-history":[{"count":4,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/5857\/revisions"}],"predecessor-version":[{"id":6529,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/5857\/revisions\/6529"}],"up":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/462"}],"wp:attachment":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/media?parent=5857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}