Changes between Version 1 and Version 2 of private/NlpInPracticeCourse/NamedEntityRecognition

Timestamp:

Jul 23, 2015, 4:17:32 PM (8 years ago)

Author:

Zuzana Nevěřilová

Comment:

--

private/NlpInPracticeCourse/NamedEntityRecognition

@@ -14 +14 @@
 === References ===
 
-Approx 3 current papers (preferably from best NLP conferences/journals, eg. [[https://www.aclweb.org/anthology/|ACL Anthology]]) that will be used as a source for the one-hour lecture:
-
- 1. paper1
- 1. paper2
- 1. paper3
+ 1. David Nadeau, Satoshi Sekine: A survey of named entity recognition and classification. In Satoshi Sekine and Elisabete Ranchhod (eds.) Named Entities: Recognition, classification and use. Lingvisticæ Investigationes 30:1. 2007. pp. 3–26 [[http://brown.cl.uni-heidelberg.de/~sourjiko/NER_Literatur/survey.pdf]]
+ 1. Charles Sutton and Andrew !McCallum: An Introduction to Conditional Random Fields. Foundations and Trends in Machine Learning 4 (4). 2012. [[http://homepages.inf.ed.ac.uk/csutton/publications/crftut-fnt.pdf]]
 
 == Practical Session ==
 
-Concrete description of work assignment for students for the second one-hour part of the lecture. The work will consist of tasks connected with practical implementations of algorithms connected with the current topic (probably not the state-of-the-art algorithms mentioned in the first part) and with real data. Students can test the algorithms, evaluate them and possibly try some short adaptations for various subtasks.
+Try naive gazetteer method (implement substring search) on prepared data. 
+Observe the recognition: 
+  1. what happens to every string present in the gazetteer?
+  1. what happens to NE not present in the gazetteer?
 
-Students can also be required to generate some results of their work and hand them in to prove completing the tasks.
+Try machine learning approach (use the Stanford NER) with prepared data.
+Observe the recognition:
+  1. measure precision, recall, and F1-score on the test data
+  1. find NEs not present in the train data
+  1. find NEs that were not recognized
+  1. discuss what types of NE are easy/difficult to recognize