• Venses @ AcCompl-It: Computing...

Treffer: Venses @ AcCompl-It: Computing Complexity vs Acceptability with a Constituent Trigram Model and Semantics

Title:
Venses @ AcCompl-It: Computing Complexity vs Acceptability with a Constituent Trigram Model and Semantics
Authors:
Delmonte, Rodolfo
Publisher Information:
Accademia University Press
Publication Year:
2021
Collection:
OpenEdition
Subject Terms:
EVALITA, COVID-19 Infodemic, linguistica computazionale, Automatic Misogyny Identification, Misogyny on Twitter Posts, AlBERTo, Convolutional Neural Network, BERT Model, Hate Speech Detection, Multimodal Meme Detection, MEME management, Language Game ``La Ghigliottina'', Language & Linguistics
Document Type:
Buch book part
Language:
English
ISBN:
979-1-280-13632-9
Relation:
urn:doi:10.4000/books.aaccademia.7735; http://books.openedition.org/aaccademia/7735; urn:eisbn:9791280136329
Availability:
http://books.openedition.org/aaccademia/7735
Rights:
CC BY-NC-ND 4.0 ; info:eu-repo/semantics/openAccess
Accession Number:
edsbas.79858E8
Database:
BASE

Weitere Informationen

In this paper we present work carried out for the Ac-ComplIt task. ItVENSES is a system for syntactic and semantic processing that is based on the parser for Italian called ItGetaruns to analyse each sentence. In previous EVALITA tasks we only used semantics to produce the results. In this year EVALITA, we used both a statistically based approach and the semantic one used previously. The statistic approach is characterized by the use of trigrams of constituents computed by the system and checked against a trigram model derived from the constituency version of VIT – Venice Italian Treebank. Results measured in term of a correlation, are not particularly high, below 50% the Acceptability task and slightly over 30% the Complexity one.