FicTree: a Manually Annotated Treebank of Czech Fiction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F17%3A10366504" target="_blank" >RIV/00216208:11210/17:10366504 - isvavai.cz</a>

Výsledek na webu

<a href="http://ceur-ws.org/Vol-1885/181.pdf" target="_blank" >http://ceur-ws.org/Vol-1885/181.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

FicTree: a Manually Annotated Treebank of Czech Fiction

Popis výsledku v původním jazyce

We present a manually annotated treebank of Czech fiction, intended to serve as an addendum to the Prague Dependency Treebank. The treebank has only 166,000 tokens, so it does not serve as a good basis for training of NLP tools, but added to the PDT training data, it can help improve the annotation of texts of fiction. We describe the composition of the corpus, the annotation process including inter-annotator agreement. On the newly created data and the data of the PDT, we performed a number of experiments with parsers (TurboParser, Parsito, MSTParser and MaltParser). We observe that the extension of PDT training data by a part of the new treebank actually does improve the results of the parsing of literary texts. We investigate cases where parsers agree on a different annotation than the manual one.

Název v anglickém jazyce

FicTree: a Manually Annotated Treebank of Czech Fiction

Popis výsledku anglicky

We present a manually annotated treebank of Czech fiction, intended to serve as an addendum to the Prague Dependency Treebank. The treebank has only 166,000 tokens, so it does not serve as a good basis for training of NLP tools, but added to the PDT training data, it can help improve the annotation of texts of fiction. We describe the composition of the corpus, the annotation process including inter-annotator agreement. On the newly created data and the data of the PDT, we performed a number of experiments with parsers (TurboParser, Parsito, MSTParser and MaltParser). We observe that the extension of PDT training data by a part of the new treebank actually does improve the results of the parsing of literary texts. We investigate cases where parsers agree on a different annotation than the manual one.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LM2015044" target="_blank" >LM2015044: Český národní korpus</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ITAT 2017: Information Technologies – Applications and Theory

ISBN

978-1-974274-74-1

ISSN

1613-0073

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

181-185

Název nakladatele

Aachen &amp; Charleston: Technical University &amp; CreateSpace Independent Publishing Platform

Místo vydání

Praha

Místo konání akce

Martinské Hole, Slovensko

Datum konání akce

21. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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