| | 1 | = Extracting structured information from text = |
| | 2 | |
| | 3 | [[https://is.muni.cz/auth/predmet/fi/ia161|IA161]] [[en/AdvancedNlpCourse|Advanced NLP Course]], Course Guarantee: Aleš Horák |
| | 4 | |
| | 5 | Prepared by: Vojtěch Kovář |
| | 6 | |
| | 7 | |
| | 8 | == State of the Art == |
| | 9 | |
| | 10 | Information extraction (IE) is a technology based on |
| | 11 | analyzing natural language in order to extract snippets |
| | 12 | of information. The process takes texts (and sometimes |
| | 13 | speech) as input and produces fixed-format, unambiguous |
| | 14 | data as output. This data may be used directly for |
| | 15 | display to users, or may be stored in a database or |
| | 16 | spreadsheet for later analysis, or may be used for |
| | 17 | indexing purposes in information retrieval (IR) applications |
| | 18 | such as Internet search engines like Google. |
| | 19 | |
| | 20 | === References === |
| | 21 | |
| | 22 | 1. Cunningham, Hamish. [https://gate.ac.uk/sale/ell2/ie/ An Introduction to Information Extraction]. Encyclopedia of Language and Linguistics, 2nd Edition. Elsevier, 2005. |
| | 23 | 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). |
| | 24 | 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. |
| | 25 | 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. |
| | 26 | |
| | 27 | == Practical Session == |
| | 28 | |
| | 29 | You are given few [raw-attachment:wiki.txt:wiki:private/AdvancedNlpCourse/InformationExtraction short excerpts from Czech wikipedia] as a plain text. They were analyzed by automatic sentence detection, tokenization (unitok tool), morphological analysis and tagging (desamb tool), and syntactic analysis (SET tool, with --long-phrases option) and [raw-attachment:wiki.phrases this is the result]. |
| | 30 | |
| | 31 | Write a short program in Python which will extract simple information about who was who, from the parsed file. The result should look like [raw-attachment:wiki.output this file]. |
| | 32 | |
| | 33 | You may modify or draw inspiration from [raw-attachment:demo.py this demo script]. |
