Eckart de Castilho, Richard ; Bartsch, Sabine ; Gurevych, Iryna (2012)
CSniper - Annotation-by-query for non-canonical constructions in large corpora.
Jeju Island, Korea
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present CSniper (Corpus Sniper), a tool that implements (i) a web-based multi-user scenario for identifying and annotating non-canonical grammatical constructions in large corpora based on linguistic queries and (ii) evaluation of annotation quality by measuring inter-rater agreement. This annotation-by-query approach efficiently harnesses expert knowledge to identify instances of linguistic phenomena that are hard to identify by means of existing automatic annotation tools.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Eckart de Castilho, Richard ; Bartsch, Sabine ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | CSniper - Annotation-by-query for non-canonical constructions in large corpora |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 50th Meeting of the Association for Computational Linguistics (ACL) 2012 (Demo section) |
| Veranstaltungsort: | Jeju Island, Korea |
| URL / URN: | http://www.aclweb.org/anthology/P12-3015 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | We present CSniper (Corpus Sniper), a tool that implements (i) a web-based multi-user scenario for identifying and annotating non-canonical grammatical constructions in large corpora based on linguistic queries and (ii) evaluation of annotation quality by measuring inter-rater agreement. This annotation-by-query approach efficiently harnesses expert knowledge to identify instances of linguistic phenomena that are hard to identify by means of existing automatic annotation tools. |
| Freie Schlagworte: | UKP_a_LangTech4eHum;UKP_p_TextAsInstance;UKP_p_CLARIND;UKP_s_CSniper;UKP_a_LTDH |
| ID-Nummer: | TUD-CS-2012-0099 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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