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Wordnet Annotated Corpora
| Language | Name | SemCor Aligned | Words | Taggable | Tagged | Developer | Contact | Browse Online | License | Other Resources |
|---|---|---|---|---|---|---|---|---|---|---|
| English | SemCor3.0-all | YES | 359,732 | N/A | 192,639 | Princeton University | Christiane D. Fellbaum | NO | OPEN | Download SemCor WordNet 3.0 |
| English | SemCor3.0-verbs | YES | 316,814 | N/A | 41,497 | Princeton University | Christiane D. Fellbaum | NO | OPEN | Download SemCor WordNet 3.0 |
| Japanese | Jsemcor | YES | 380,000 | 150,000 | 58,000 | National Institute of Information and Communications Technology of Japan (NICT), Kyoto, Japan | Francis Bond | NO | OPEN | Japanese WordNet |
| Multilingual (English/ Italian) | MultiSemCor+ | YES | English (258,499) Italian (268,905) | Italian (121,175)[3] | English (119,802) Italian (92,420) | Fondazione Bruno Kessler, Center for Communication and Information Technology, Human Language Technology Group, Trento, Italy | Christian Girardi | YES | OPEN CC-BY 3.0 (Filled Request Form required) | MultiWordNet |
| Multilingual (English/ Romanian) | SemCor-En/Ro | YES | Romanian (175,603) English (178,499) | Romanian (88,874) | Romanian (48,392) | Research Institute for Artificial Intelligence “Mihai Drăgănescu”, Romanian Academy | Dan Tufiş | YES | OPEN MS Commons-BY-NC-ND | BalkaNet |
| Romanian | RoSemCor | YES | N/A | N/A | N/A | Research Institute for Artificial Intelligence “Mihai Drăgănescu”, Romanian Academy | Dan Tufiş Dan Cristea | NO | N/A | ELDA/ELRA RoSemCor |
| Bulgarian | BulSemCor | NO | 101,062 | N/A | 99,480[1] | Department of Computational Linguistics, Bulgarian Academy of Sciences, Sofia, Bulgaria | Svetla Koeva | YES | BROWSE ONLINE ONLY (downloadable excerpts freely under META-SHARE NoRedistribution Non-Commercial license) | BulNet |
| Basque | EPEC Eusemcor (Basque Semcor) | NO | 300,000 | N/A | N/A | University of the Basque Country, IXA Group, Natural Language Processing | Eneko Agirre Mikel Esnaola | YES | BROWSE ONLINE ONLY | Improving the BasqueWordNet by corpus annotation. Multilingual Central Repository 3.0 |
| Spanish | spsemcor | NO | 850,000 | N/A | 23,307 | University of the Basque Country, IXA Group, Natural Language Processing | German Rigau | YES | BROWSE ONLINE ONLY | Semantic Hand-Tagging of the SenSem Corpus Using Spanish WordNet Senses. Multilingual Central Repository 3.0 |
| Multilingual (Spanish/ Catalan) | AnCora | NO | Spanish (500,000) Catalan (500,000) | N/A | N/A | |||||
| Dutch | DutchSemCor | NO | 500 Mln | N/A | 282,503[2] | Language and Communication, Faculty of Arts, Vrije Universiteit Amsterdam – Tilburg centre for Creative Computing, Faculty of Arts, University of Tilburg – ISLA, Faculty of Science, University of Amsterdam | Piek Vossen | NO | N/A (downloadable excerpts and statistics free) | Cornetto |
| Multilingual (English/ Chinese/ Indonesian/ Japanese) | NTU-MC | NO | English (115,843) Chinese (105,879) Indonesian (55,865) Japanese (49,144) | English (62,619) Chinese (67,159) Indonesian (36,712) Japanese (20,049) | English (51,147) Chinese (36,173) Indonesian (27,796) Japanese (15,395) | Nanyang Technological University, Division of Linguistics and Multilingual Studies, Singapore | Francis Bond | NO | OPEN CC BY | Tagging is still underway snapshots available here Open Multilingual Wordnet |
| German | WebCaGe | NO | N/A | N/A | 10,750 | Universität Tübingen | Erhard Hinrichs | NO | OPEN BY-SA | GermaNet |
| German | TüBa-D/Z TreeBank | NO | 1,365k | N/A | 18k | Universität Tübingen | Verena Henrich | NO | OPEN (distributed without license or other restrictions.) | GermaNet |
| Italian | ISST (Italian Syntactic-Semantic Treebank) | NO | 305,547 | N/A | 81,236 | National Research Council, Institute of Computational Linguistics, Pisa, Italy | Simonetta Montemagni | NO | OPEN FOR ACADEMIC USE | ItalWordNet (EuroWordNet Italian) |
| Arabic | AQMAR Arabic SST | NO | 65k | N/A | 32k | Carnegie Mellon University‘s Language Technologies Institute and Computer Science Department, Pittsburgh, Pennsylvania, U.S.A. | Noah Smith | NO | OPEN FOR ACADEMIC USE | Arabic WordNet |
| Slovene | jos100k | NO | 100k | N/A | 5k | Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia | Darja Fišer, Tomaž Erjavec | NO | OPEN CC-BY 3.0 | sloWNet |
| Hungarian | Hungarian WSD | NO | 16k | N/A | 5k | University of Szeged | Veronika Vincze | NO | OPEN FOR ACADEMIC USE | |
| Polish | KPWr | NO | 438k | N/A | 9k | Wrocław University of Technology | Bartosz Broda | NO | OPEN CC-BY 3.0 | plwordnet |
| English | Princeton WordNet Gloss Corpus | NO | 1,621,129 | 656,066 | 449,355 | Princeton University | Christiane D. Fellbaum | NO | OPEN | WordNet 3.0 |
| English | Groningen Meaning Bank | NO | 1,000k | n/a | n/a | University of Groningen | Johan) Bos | NO | OPEN (distributed without license or other restrictions.) | WordNet |
| English | MASC | NO | 504,299 | N/A | 100,000 | Vassar College, Department of Computer Science, Columbia University, Center for Computational Learning Systems, International Computer Science Institute, Berkeley | Nancy Ide Rebecca J. Passonneau Collin F. Baker | NO | OPEN (distributed without license or other restrictions.) | Download MASC WordNet 3.0 |
| English | DSO Corpus | NO | N/A | N/A | 93k | National University of Singapore | Hian Beng Lee | NO | RESTRICTED | WordNet 1.5 |
| English | OntoNotes | NO | 1,500k | N/A | N/A | Raytheon BBN Technologies, the University of Colorado, the University of Pennsylvania, and the University of Southern California‘s Information Sciences Institute | OntoNotes > People | NO | RESTRICTED | OntoNotes DB tool, Coarse WordNet |
| English | SemLink | NO | 78k | N/A | N/A | University of Colorado Boulder | NO | OPEN (distributed without license or other restrictions.) | Download SemLink, Coarse WordNet | |
| English | Senseval | NO | 5,000 | 2,212 | 2,212 | University of Pennsylvania | Nancy Ide Benjamin Snyder Martha Palmer | NO | OPEN (distributed without license or other restrictions at the Senseval-3 website) | WordNet 1.7. |
Wordnet Annotated Corpora in the World
Citations
- bul Svetla Koeva, Svetlozara Leseva, Ekaterina Tarpomanova, Borislav Rizov, Tsvetana Dimitrova, Hristina Kukova. Bulgarian Sense Annotated Corpus – Results and Achievements. In Tadić, M., Dimitrova- Vulchanova, M. and Koeva, S. (eds.): Proceedings of the 7th International Conference of Formal Approaches to South Slavic and Balkan Languages (FASSBL-7), 4-6 October 2010, Dubrovnik, Croatia, pp. 41-48. ISBN 978-953-55375-2-6.
- baq Eneko Agirre, Izaskun Aldezabal, Jone Etxeberria, EliIzagirre, Karmele Mendizabal, Eli Pociello, and Mikel Quintian. 2006. Improving the Basque WordNet by corpus annotation. In Proceedings of the Third International WordNet Conference, pages 287-290.
- dut Vossen P., Görög, A., Laan, F., Van Gompel, M., Izquierdo, R. , Van den Bosch, A. (2011). DutchSemCor: building a semantically annotated corpus for Dutch. In: Proceedings of Electronic Lexicography in the 21st century: New Applications for new users (eLEX2011), Bled, Slovenia, November 10-12, 2011
- eng George A. Miller, Martin Chodorow, Shari Landes, Claudia Leacock, and Robert G. Thomas. 1994. Using a semantic concordance for sense identification. In Proceedings of the ARPA Human Language Technology Workshop, pages 240-243; George A. Miller, Claudia Leacock, Randee Tengi, and Ross T. Bunker. (1993). “A Semantic Concordance.” In: Proceedings of the 3 DARPA Workshop on Human Language Technology
- eng Ide, N. (2012). MultiMASC: An Open Linguistic Infrastructure for Language Research. Proceedings of the Fifth Workshop on Building and Using Comparable Corpora, held in conjunction with LREC 2012, Istanbul.
- eng Benjamin Snyder and Martha Palmer (2005) The English All-Words Task, in Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SENSEVAL-3), 2004
- ger Verena Henrich, Erhard Hinrichs, and Tatiana Vodolazova: WebCAGe — A Web-Harvested Corpus Annotated with GermaNet Senses. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France, April 2012, pp. 387-396.
- ita Luisa Bentivogli, Emanuele Pianta and Marcello Ranieri MultiSemCor: an English Italian aligned corpus with a shared inventory of senses In Proceedings of the Meaning Workshop 2005, Trento, Italy, February 3-4, 2005, p. 90; Luisa Bentivogli and Emanuele Pianta. 2005. Exploiting parallel texts in the creation of multilingual semantically annotated resources: the multisemcor corpus. Natural Language Engineering, 11(3):247�261.
- ita Simonetta Montemagni, Francesco Barsotti, Marco Battista, Nicoletta Calzolari, Ornella Corazzari, Alessandro Lenci, Antonio Zampolli, Francesca Fanciulli, Maria Massetani, Remo Raffaelli, Roberto Basili, Maria Teresa Pazienza, Dario Saracino, Fabio Zanzotto, Nadia Mana, Fabio Pianesi, Rodolfo Delmonte, 2003. “Building the Italian Syntactic-Semantic Treebank”, in Anne Abeillé (a cura di), Building and using Parsed Corpora, Language and Speech series, Kluwer, Dordrecht, pp. 189-210 ; Stefano Dei Rossi, Giulia Di Pietro, Maria SimiEvalita 2011:Description and Results of the SuperSense Tagging Task
- jpn Francis Bond, Timothy Baldwin, Richard Fothergill and Kiyotaka Uchimoto (2012) Japanese SemCor: A Sense-tagged Corpus of Japanese in The 6th International Conference of the Global WordNet Association (GWC-2012), Matsue.
- rum Monica Lupu, Diana Trandabat and Maria Husarciuc. A Romanian SemCor aligned to the English and Italian MultiSemCor. In 1st ROMANCE FrameNet Workshop at EUROLAN 2005 Summer School, Proceedings, pages 20{27, Cluj-Napoca, Romania, July 2005.
- spa Castellón I., Climent S., Coll-Florit M., Lloberes M. and Rigau G. Semantic Hand-Tagging of the SenSem Corpus Using Spanish WordNet Senses. Proceedings of the 6th Global WordNet Conference (GWC’12), Matsue, Japan. January, 2012.
References
- ↑ Both lexical and function words were subject to annotation
- ↑ 282,503 tagged manually by two annotators, 400,000+ by at least one annotator, and millions automatically
- ↑ According to Bentivogli and Pianta (2005), 23,4% of Italian words still need to be tagged, so we can estimate (given that 92,820 is the 76,6%) the taggable words at 121,175