Changes between Version 23 and Version 24 of private/NlpInPracticeCourse/InformationExtraction

Timestamp:

Sep 18, 2023, 3:05:05 PM (7 months ago)

Author:

Zuzana Nevěřilová

Comment:

--

private/NlpInPracticeCourse/InformationExtraction

@@ -20 +20 @@
 === References ===
 
- 1. Cunningham, Hamish. [https://gate.ac.uk/sale/ell2/ie/ An Introduction to Information Extraction]. Encyclopedia of Language and Linguistics, 2nd Edition. Elsevier, 2005.
  1. Piskorski, J. and Yangarber, R. Information Extraction: Past, Present and Future, pages 23–49. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013.
  1. Aydar, Mehmet, Ozge Bozal, and Furkan Ozbay. [https://arxiv.org/abs/2007.04247 Neural relation extraction: a survey.] arXiv e-prints (2020). 
@@ -36 +35 @@
 
  1. Create {{{<YOUR_FILE>}}}, a text file named {{{ia161-UCO-08.txt}}} where '''UCO''' is your university ID.
- 1. Access the [https://colab.research.google.com/drive/1lHphWGR-i6P7HqTJ_39Eo8FnPe8OJuSD Python notebook in the Google Colab environment] and make your own copy. Do not forget to save your work if you want to see your changes later, leaving the browser will throw away all changes!
+ 1. Access the [https://colab.research.google.com/drive/1KSfOy8KwKQ6De45ah3JMxP0BfQa-80RD?usp=sharing Python notebook in the Google Colab environment] and make your own copy. Do not forget to save your work if you want to see your changes later, leaving the browser will throw away all changes!
  1. The colab reads file {{{input.txt}}} (each line is word|definition) and outputs hypernym for each word.
  1. Default approach is naive: ''first noun in definition is hypernym''