Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Alessio Palmero Aprosio"'
Publikováno v:
IJCoL, Vol 9, Iss 1 (2023)
In this paper we present a novel treebank developed to analyse marked constructions in Italian called MarkIT. The resource contains almost 1,300 sentences manually annotated with dependency relations following the Universal Dependencies paradigm. The
Externí odkaz:
https://doaj.org/article/7b8c3b2d998941cba03b21f53fac04be
Publikováno v:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations.
In this paper, we present Tintful, an NLP annotation software that can be used both to manually annotate texts and to fix mistakes in NLP pipelines, such as Stanford CoreNLP. Using a paradigm similar to wiki-like systems, a user who notices some wron
Publikováno v:
EACL (System Demonstrations)
Amazon Mechanical Turk (AMT) has recently become one of the most popular crowd-sourcing platforms, allowing researchers from all over the world to create linguistic datasets quickly and at a relatively low cost. Amazon provides both a web interface a
Publikováno v:
UMAP
Automated complex word identification (CWI) is a crucial task in several applications, from readability assessment to lexical simplification. So far, several works have modeled CWI with the goal of targeting the needs of non-native speakers. However,
Publikováno v:
SemEval@COLING
In this paper we present our submission to sub-task A at SemEval 2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval2). For Danish, Turkish, Arabic and Greek, we develop an architecture based on transfer learning
Publikováno v:
CLiC-it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5410aa8223c0c776b1a70001f4b4d34
https://doi.org/10.4000/books.aaccademia.8825
https://doi.org/10.4000/books.aaccademia.8825
Publikováno v:
CLiC-it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5778fcd4b3739912d10c9ef17adbe90e
https://doi.org/10.4000/books.aaccademia.8725
https://doi.org/10.4000/books.aaccademia.8725