Differences

This shows you the differences between two versions of the page.

--- lectures [2011/10/03 18:14] – nick
+++ lectures [2011/11/29 17:45] (current) – nick
@@ Line 1: / Line 1: @@
-* class lectures
+{{:08dependency.pdf|}}* class lectures
   * {{:lecture_1.ppt|Lecture 1 - introduction to CL course}}
   * {{:lecture_2.ppt|Lecture 2 - continue with introduction}}
@@ Line 16: / Line 16: @@
   * {{:lecture_9.ppt|Lecture 9 - unification-based approach to NLP}}
   * {{:lecture_10x.ppt|Lecture 10 - unification review, HPSG introduction, principles, rules, examples, modularity}}
-  * {{:lecture_11.ppt|Lecture 11 - HPSGs - How its done, Examples, Examples, Examples
+  * {{:lecture_11.ppt|Lecture 11 - HPSGs - How its done, Examples, Examples, Examples}}
-}}
+  * {{:lecture_12.ppt|Lecture 12 - Final HPSGs - Cleaning up and final aspects, semantics, overview to statistical NLP}}
-  * {{:lecture_12.ppt|Lecture 12 - Final HPSGs - Cleaning up and final aspects, semantics, overview to statistical NLP
+     * {{:pacling05.ppt|pacling n-gram}}
-}}
+     * {{:modularhpsg.ppt|modular hpsg}}
+     * {{:just-in-time.ppt|just in time hpsg}}
+     * {{:01basic_idea.pdf|hpsg - basic idea}}
+     * {{:02basic_systex.pdf|hpsg - basic syntax}}
+     * {{:03consituency.pdf|hpsg - consistency}}
+     * {{:04construction.pdf|hpsg - construction}}
+     * {{:06agreement.pdf|hpsg - agreement}}
+     * {{:08dependency.pdf|hpsg - dependency}}
+     * {{:09relative_clause.pdf|hpsg - relative clause}}
+     * {{:10binding_theory.pdf|hpsg - binding theory}}
+     * {{:index1.pdf|problems with cfg's}}
+  * {{:statnlp.ppt|Lecture 13 - Statistical NLP Introduction}}
+  * {{:lecture02.ppt|Lecture 13+ - vector space model}}
+  * {{:lecture02-1.ppt|Lecture 13++ - more vector space model}}
+  * {{:stanford_manning14.pdf|Parsing as Search - C, Manning}}
   * {{:vector_space_model-updated.ppt|Lecture 13 razieh’s vector space model}}
+  * {{:presentation.ppt|Lecture 13 vector space model - morteza zihayat}}
   * {{:lecture_13_ir_and_vsm_.ppt|Lecture 13 alternative vector space model}}
   * {{:lecture_14_text_classification.ppt|Lecture 14 elnaz text classification}}
   * {{:lecture_14_text_classification_.ppt|Lecture 14 alternative text classification incomplete}}
+  * {{:text_classification_presentation.pdf|Lecture 14 alternative text classification - nadine dulisch}}
   * {{:ameeta.pdf|Lecture 15 ameeta}}
   * {{:lecture_16_haluk-presentation.pdf|Lecture 16 haluk - probabilistic modelling and joint distribution model}}
@@ Line 34: / Line 53: @@
   * {{:lecture_20_bayesian-networks.ppt|Lecture 20 nariman - bayesian networks}}
   * {{:lecture_21_probabilisticparsing.ppt|Lecture 21 dmitri - probabilistic parsing}}
+  * {{:10e-eval-2x3.pdf|Lecture 22 parser evaluation - indiana}}
 * miscellaneous lectures