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--- materias:pln:uba2019:teoricos [2019/09/18 16:55] – francolq
+++ materias:pln:uba2019:teoricos [2025/11/15 13:47] (actual) – editor externo 127.0.0.1
@@ Línea 123: / Línea 123: @@
     * [[http://web.stanford.edu/class/cs224n/slides/cs224n-2019-lecture02-wordvecs2.pdf|Word Vectors 2]] ([[https://youtu.be/kEMJRjEdNzM|videolecture]])
+  * Material complementario:
+    * [[https://docs.google.com/document/d/18NoNdArdzDLJFQGBMVMsQ-iLOowP1XXDaSVRmYN0IyM/edit|Frontiers in Natural Language Processing Expert Responses:]] encuesta a referentes del área. En particular:
+      * What would you say is the most influential work in NLP in the last decade, if you had to pick just one?
+===== 5ta clase =====
+  * Introducción a Redes Neuronales:
+    * [[https://www.youtube.com/watch?v=8CWyBNX6eDo&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=3|Neural Networks (cs224n lecture 3)]]
+    * [[https://www.youtube.com/watch?v=yLYHDSv-288&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=4|Backpropagation (cs224n lecture 4)]]
+  * Análisis sintáctico:
+    * [[https://youtu.be/nC9_RfjYwqA|Linguistic Structure: Dependency Parsing (cs224n lecture 5)]]
+  * Redes Neuronales Recurrentes:
+    * [[https://www.youtube.com/watch?v=iWea12EAu6U&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=6|Language Models and RNNs (cs224n lecture 6)]]
+    * [[https://www.youtube.com/watch?v=QEw0qEa0E50&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=7|Vanishing Gradients, Fancy RNNs (cs224n lecture 7)]]
+  * Links:
+    * [[http://colah.github.io/posts/2015-08-Understanding-LSTMs/|Understanding LSTM Networks]]
+===== 6ta clase =====
+{{:materias:pln:2019:deepmeme.png?direct&400|}}
+  * Traducción Automática y modelos "sequence to sequence":
+    * [[https://www.youtube.com/watch?v=XXtpJxZBa2c&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=8| Translation, Seq2Seq, Attention (cs224n lecture 8)]]
+  * [[https://www.youtube.com/watch?v=yIdF-17HwSk&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=11|Question Answering (cs224n lecture 10)]]
+  * [[https://www.youtube.com/watch?v=S-CspeZ8FHc&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z&index=14|Contextual Word Embeddings (cs224n lecture 13)]]
+  * Material complementario:
+    * [[http://ruder.io/deep-learning-nlp-best-practices/index.html|Deep Learning for NLP Best Practices
+]] (Sebastian Ruder)
+    * [[http://nlp.seas.harvard.edu/2018/04/03/attention.html|The Annotated Transformer]] (Alexander Rush)
+    * [[https://talktotransformer.com/]]
+    * [[http://ruder.io/4-biggest-open-problems-in-nlp/|The 4 Biggest Open Problems in NLP
+]] (Sebastian Ruder)