Changes between Version 18 and Version 19 of private/NlpInPracticeCourse/InformationExtraction

Timestamp:

Nov 28, 2021, 9:32:39 PM (2 years ago)

Author:

Zuzana Nevěřilová

Comment:

--

private/NlpInPracticeCourse/InformationExtraction

@@ -21 +21 @@
 
  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. Chang, Chia-Hui, et al.[https://www.researchgate.net/profile/Khaled_Shaalan/publication/200110627_A_Survey_of_Web_Information_Extraction_Systems/links/0912f50abd8c6b314d000000.pdf A Survey of Web Information Extraction Systems]. Knowledge and Data Engineering, IEEE Transactions on 18.10 (2006).
- 1. Banko, Michele, et al. [http://www.aaai.org/Papers/IJCAI/2007/IJCAI07-429.pdf Open information extraction for the web]. IJCAI. Vol. 7. 2007.
- 1. Fader, Anthony, Soderland, Stephen and Etzioni, Oren. [http://dl.acm.org/citation.cfm?id=2145596 Identifying relations for open information extraction]. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '11). Association for Computational Linguistics, Stroudsburg, PA, USA, 2011.
  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): arXiv-2007. 
 
 == Practical Session ==
@@ -64 +62 @@
  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. Observe the grammars {{{jobtitle.jape}}} and {{{jobtitleperson.jape}}}
-
-Add new transducer with the grammar {{{jobtitleperson.jape}}} and observe the results.
-
-Optionally, you can add further documents and observe how universal the {{{jobtitleperson.jape}}} grammar is.
+ 1. Add new transducer with the grammar {{{jobtitleperson.jape}}} and observe the results.
+ 1. Optionally, you can add further documents and observe how universal the {{{jobtitleperson.jape}}} grammar is.
+ 1. According to the above grammars, write your own that extracts new relations (e.g. job title in company or person works in company).
 
 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).
+Copy your grammar from the last point to {{{<YOUR_FILE>}}}.