Building named entity recognition models for Croatian and Slovene
The paper presents efforts in developing freely available models for named entity recognition and classification for Croatian and Slovene. Our experiments focus on the most informative set of linguistic features taking into account the availability of language tools for the lan- guages in question....
| Permalink: | http://skupni.nsk.hr/Record/ffzg.KOHA-OAI-FFZG:318228/Details |
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| Matična publikacija: |
Proceedings of the Eighth LANGUAGE TECHNOLOGIES Conference Ljubljana : 2012 |
| Glavni autori: | Ljubešić, Nikola, informatičar (-), Stupar, Marija (Author), Jurić, Tereza |
| Vrsta građe: | Članak |
| Jezik: | eng |
| LEADER | 02099naa a2200253uu 4500 | ||
|---|---|---|---|
| 008 | 131111s2012 xx 1 eng|d | ||
| 035 | |a (CROSBI)616808 | ||
| 040 | |a HR-ZaFF |b hrv |c HR-ZaFF |e ppiak | ||
| 100 | 1 | |9 445 |a Ljubešić, Nikola, |c informatičar | |
| 245 | 1 | 0 | |a Building named entity recognition models for Croatian and Slovene / |c Ljubešić, Nikola ; Stupar, Marija ; Jurić, Tereza. |
| 246 | 3 | |i Naslov na engleskom: |a Building Named Entity Recognition Models For Croatian And Slovene | |
| 300 | |a 129-134 |f str. | ||
| 520 | |a The paper presents efforts in developing freely available models for named entity recognition and classification for Croatian and Slovene. Our experiments focus on the most informative set of linguistic features taking into account the availability of language tools for the lan- guages in question. Beside the classic linguistic features, distributional similarity features calculated from large unannotated monolingual corpora are exploited as well. Using distributional information improves the results for 7-8 points in F1 while adding morphological infor- mation improves the results for additional 3-4 points in both languages. The best performing models, along with test sets for comparison with future and existing systems and a HunPos part-of-speech model for Croatian are available for download for academic usage. | ||
| 536 | |a Projekt MZOS |f 130-1301679-1380 | ||
| 536 | |a Projekt MZOS |f FP7-271022 | ||
| 546 | |a ENG | ||
| 690 | |a 5.04 | ||
| 693 | |a named entity recognition, distributional similarity, Croatian language, Slovene language |l hrv |2 crosbi | ||
| 693 | |a named entity recognition, distributional similarity, Croatian language, Slovene language |l eng |2 crosbi | ||
| 700 | 1 | |a Stupar, Marija |4 aut | |
| 700 | 1 | |a Jurić, Tereza |4 aut | |
| 773 | 0 | |a Eighth LANGUAGE TECHNOLOGIES Conference (8.-9.10.2012. ; Ljubljana, Slovenija) |t Proceedings of the Eighth LANGUAGE TECHNOLOGIES Conference |d Ljubljana : 2012 |n Erjavec, Tomaž ; Žganec Gros, Jerneja |g str. 129-134 | |
| 942 | |c RZB |u 2 |v Recenzija |z Znanstveni - Predavanje - CijeliRad |t 1.08 | ||
| 999 | |c 318228 |d 318226 | ||