RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages
This work deals with never-ending learning ap- proach for fact extraction from unstructured Russian text. It continues the research in the field of pattern learning techniques for morphologically rich free-word-order language. We introduce improvements for CPL-RUS algorithm and choose best initial pa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2018-11-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct23/files/Bud.pdf
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| _version_ | 1811233144512184320 |
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| author | Sergei Budkov Kseniya Buraya Andrey Filchenkov Ivan Smetannikov Antonina Puchkovskaia |
| author_facet | Sergei Budkov Kseniya Buraya Andrey Filchenkov Ivan Smetannikov Antonina Puchkovskaia |
| author_sort | Sergei Budkov |
| collection | DOAJ |
| description | This work deals with never-ending learning ap- proach for fact extraction from unstructured Russian text. It continues the research in the field of pattern learning techniques for morphologically rich free-word-order language. We introduce improvements for CPL-RUS algorithm and choose best initial pa- rameters. We conducted experiments with the extended version, RICH-CPL algorithm on the corpus containing over 1.3 million pages. This paper is shortened version of our paper [7] that includes also new modifications of the proposed methods. |
| first_indexed | 2024-04-12T11:16:36Z |
| format | Article |
| id | doaj.art-3a80790d11da4925aa16706c4f9d7f70 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-04-12T11:16:36Z |
| publishDate | 2018-11-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-3a80790d11da4925aa16706c4f9d7f702022-12-22T03:35:29ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-11-01602237884RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich LanguagesSergei Budkov0Kseniya Buraya1Andrey Filchenkov2Ivan Smetannikov3Antonina Puchkovskaia4ITMO University Saint-Petersburg, RussiaITMO University Saint-Petersburg, RussiaITMO University Saint-Petersburg, RussiaITMO University Saint-Petersburg, RussiaITMO University Saint-Petersburg, RussiaThis work deals with never-ending learning ap- proach for fact extraction from unstructured Russian text. It continues the research in the field of pattern learning techniques for morphologically rich free-word-order language. We introduce improvements for CPL-RUS algorithm and choose best initial pa- rameters. We conducted experiments with the extended version, RICH-CPL algorithm on the corpus containing over 1.3 million pages. This paper is shortened version of our paper [7] that includes also new modifications of the proposed methods.https://fruct.org/publications/fruct23/files/Bud.pdf ontologynever ending learningWikipediapart of speech |
| spellingShingle | Sergei Budkov Kseniya Buraya Andrey Filchenkov Ivan Smetannikov Antonina Puchkovskaia RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages Proceedings of the XXth Conference of Open Innovations Association FRUCT ontology never ending learning Wikipedia part of speech |
| title | RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages |
| title_full | RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages |
| title_fullStr | RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages |
| title_full_unstemmed | RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages |
| title_short | RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages |
| title_sort | rich cpl fact extraction from wikipedia sized corpora for morphologically rich languages |
| topic | ontology never ending learning Wikipedia part of speech |
| url | https://fruct.org/publications/fruct23/files/Bud.pdf
|
| work_keys_str_mv | AT sergeibudkov richcplfactextractionfromwikipediasizedcorporaformorphologicallyrichlanguages AT kseniyaburaya richcplfactextractionfromwikipediasizedcorporaformorphologicallyrichlanguages AT andreyfilchenkov richcplfactextractionfromwikipediasizedcorporaformorphologicallyrichlanguages AT ivansmetannikov richcplfactextractionfromwikipediasizedcorporaformorphologicallyrichlanguages AT antoninapuchkovskaia richcplfactextractionfromwikipediasizedcorporaformorphologicallyrichlanguages |