VPS-GradeUp

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318227" target="_blank" >RIV/00216208:11320/15:10318227 - isvavai.cz</a>

Výsledek na webu

<a href="http://hdl.handle.net/11234/1-1585" target="_blank" >http://hdl.handle.net/11234/1-1585</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

VPS-GradeUp

Popis výsledku v původním jazyce

VPS-GradeUp is a collection of triple manual annotations of 29 English verbs based on the Pattern Dictionary of English Verbs (PDEV) and comprising the following lemmas: abolish, act, adjust, advance, answer, approve, bid, cancel, conceive, cultivate, cure, distinguish, embrace, execute, hire, last, manage, murder, need, pack, plan, point, praise, prescribe, sail, seal, see, talk, urge . It contains results from two different tasks: Graded decisions Best-fit pattern (WSD) . In both tasks, the annotatorswere matching verb senses defined by the PDEV patterns with 50 actual uses of each verb (using concordances from the BNC). The verbs were randomly selected from a list of completed PDEV lemmas with at least 3 patterns and at least 100 BNC concordances not previously annotated by PDEV's own annotators. Also, the selection excluded verbs contained in VPS-30-En, a data set we developed earlier. This data set was built within the project Reviving Zellig S. Harris: more linguistic informatio

Název v anglickém jazyce

VPS-GradeUp

Popis výsledku anglicky

VPS-GradeUp is a collection of triple manual annotations of 29 English verbs based on the Pattern Dictionary of English Verbs (PDEV) and comprising the following lemmas: abolish, act, adjust, advance, answer, approve, bid, cancel, conceive, cultivate, cure, distinguish, embrace, execute, hire, last, manage, murder, need, pack, plan, point, praise, prescribe, sail, seal, see, talk, urge . It contains results from two different tasks: Graded decisions Best-fit pattern (WSD) . In both tasks, the annotatorswere matching verb senses defined by the PDEV patterns with 50 actual uses of each verb (using concordances from the BNC). The verbs were randomly selected from a list of completed PDEV lemmas with at least 3 patterns and at least 100 BNC concordances not previously annotated by PDEV's own annotators. Also, the selection excluded verbs contained in VPS-30-En, a data set we developed earlier. This data set was built within the project Reviving Zellig S. Harris: more linguistic informatio

Druh

R - Software

CEP obor

AI - Jazykověda

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

vps.0.1.2015

Technické parametry

http://hdl.handle.net/11234/1-1585

Ekonomické parametry

100,000 CZK

IČO vlastníka výsledku

00216208

Název vlastníka

Univerzita Karlova v Praze