Changes between Version 13 and Version 14 of private/NlpInPracticeCourse/InformationExtraction

Timestamp:

Nov 17, 2017, 9:24:19 AM (6 years ago)

Author:

Zuzana Nevěřilová

Comment:

--

private/NlpInPracticeCourse/InformationExtraction

@@ -31 +31 @@
 
  1. Create {{{<YOUR_FILE>}}}, a text file named {{{ia161-UCO-08.txt}}} where '''UCO''' is your university ID. 
- 1. Download and install GATE (Java 8 is necessary) from https://gate.ac.uk/download/
- 1. Run GATE
- 1. Load ANNIE (with defaults) 
- 1. Create language resources:
+ 1. Download and install GATE (Java 8 is necessary) from https://gate.ac.uk/download/ ({{{java -jar gate-<VERSION>-installer.jar}}})
+ 1. Run GATE ({{{GATE_Developer_<VERSION>/bin/gate.sh}}})
+ 1. Load ANNIE (with defaults), read about its components 
+ 1. Create document(s):
    * right click on Language !Resources/New/GATE Document in the left menu
    * change {{{markupAware}}} to {{{false}}}
    * change {{{sourceUrl}}} to {{{stringContent}}} and paste some news text
+   * repeat these steps
    * you can find three sample texts here: [raw-attachment:text1.txt text1.txt], [raw-attachment:text2.txt text2.txt], [raw-attachment:text3.txt text3.txt]
  1. Create corpus:
@@ -45 +46 @@
  1. Observe the annotated results, click on a document, then Annotation Sets and/or Annotation List.
 
-So far, GATE did not much more than Stanford NER in lecture 04. Note, however, that all tokens are annotated and POS-tagged.
+So far, GATE did not much more than Stanford NER in lecture 04. Note, however, that all tokens are annotated and POS-tagged. Also note the annotation type Lookup.
 
 We add rules for extracting job titles and the respective person names. The rules are defined in the grammars [raw-attachment:jobtitle.jape] and [raw-attachment:jobtitleperson.jape]
 
  1. Right click Processing !Resources/New/JAPE Transducer in the left menu
- 1. Click on {{{grammmarUrl}}} and choose grammar {{{jobtitle.jape}}}
+ 1. Download the grammar(s).
+ 1. Click on {{{grammmarUrl}}} and choose the grammar file {{{jobtitle.jape}}}
  1. Click on !Applications/Annie in the left menu and add the JAPE Transducer to the ANNIE pipeline
- 1. Run ANNIE again: Click on !Applications/Annie in the left menu, select Corpus
+ 1. Run ANNIE again: Click on !Applications/Annie in the left menu
  1. Observe the annotated results, click on a document, then Annotation Sets and/or Annotation List. If applicable, you can see new annotation JobTitle.
- 1. Observer the grammars {{{jobtitle.jape}}} and {{{jobtitleperson.jape}}}
+ 1. Observe the grammars {{{jobtitle.jape}}} and {{{jobtitleperson.jape}}}
 
 Add new transducer with the grammar {{{jobtitleperson.jape}}} and observe the results.
@@ -60 +62 @@
 Optionally, you can add further documents and observe how universal the {{{jobtitleperson.jape}}} grammar is.
 
-Write your observations to {{{<YOUR_FILE>}}}.
+Write your observations to {{{<YOUR_FILE>}}}: Particularly, comment how well the  Gazetteer and NE Transducer perform, describe how well the grammar works. Note that no coreference resolution is used (optionally, you can try one).