Zobrazeno 1 - 10
of 266
pro vyhledávání: '"linguistique computationelle"'
Publikováno v:
Scopus-Elsevier
This paper explores the possibility to predict audience engagement, measured in terms of visible attention, in the context of guided tours. We built a dataset composed of Italian sentences derived from the speech of an expert guide leading visitors i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fead23486e9d0082a96be82e6d93a2e0
http://books.openedition.org/aaccademia/11109
http://books.openedition.org/aaccademia/11109
In this paper we present MarkIT, a treebank of marked constructions in Italian, containing around 800 sentences with dependency annotation. We detail the process to extract the sentences and manually correct them. The resource covers seven types of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::f89c555bd5a0d7b57d0f2f55acc71da8
http://books.openedition.org/aaccademia/11104
http://books.openedition.org/aaccademia/11104
Autor:
Labruna, Tiziano, Magnini, Bernardo
Domain and language shift are still major bottlenecks for a vast range of task-oriented dialogue systems. This paper focuses on data-driven models for dialogue state tracking, and builds on top of recent work on dialogue domain adaptation, showing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::54c74f71581595daaefdfba5da192438
http://books.openedition.org/aaccademia/10694
http://books.openedition.org/aaccademia/10694
In this paper we introduce T-PAS Scraper, a new online application for linguistic data extraction and analysis connected to the T-PAS resource, a corpus-based digital repository of Italian verbal patterns (Ježek et al., 2014). The application is con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::fa61267d25c5b46067ce4e213695f2d0
http://books.openedition.org/aaccademia/11052
http://books.openedition.org/aaccademia/11052
Spoken Language Understanding (SLU) in task-oriented dialogue systems involves both intent classification (IC) and slot filling (SF) tasks. The de facto method for zero-shot cross-lingual SLU consists of fine-tuning a pretrained multilingual model on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::c2259ab974f727283eda12e2c9e16cc6
http://books.openedition.org/aaccademia/10709
http://books.openedition.org/aaccademia/10709
The automatic consolidation of legal texts with the integration of its successive amendments and corrigenda might have an important practical impact on public institutions, citizens and organizations. This process involves two steps: a) the classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::fcf2197d95181ade73d740ced091f792
http://books.openedition.org/aaccademia/10619
http://books.openedition.org/aaccademia/10619
In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence. The resource is arranged in two sections (acceptability assessment and cloze test), e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::4f1a59725517778d8db54a995e8baad2
http://books.openedition.org/aaccademia/10452
http://books.openedition.org/aaccademia/10452
In this work we consider the collection of deceptive April Fools’ Day (AFD) news articles as a useful addition in existing datasets for deception detection tasks. Such collections have an established ground truth and are relatively easy to construc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::41b2671667af9bff9b47941aa7da9efd
http://books.openedition.org/aaccademia/10763
http://books.openedition.org/aaccademia/10763
Autor:
Chesi, Cristiano
Expectation-based Minimalist Grammars (e-MGs) are simplified versions of the (Conflated) Minimalist Grammars, (C)MGs, formalized by Stabler (Stabler 1997; Stabler 2011; Stabler 2013) and Phase-based Minimalist Grammars, PMGs (Chesi 2007; Chesi 2005;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::fd26ae12142bb68c36dd8d5165d27335
http://books.openedition.org/aaccademia/10522
http://books.openedition.org/aaccademia/10522
A system that extracts obligations automatically from heterogeneous regulations could be of great help for a variety of stakeholders including financial institutions. In order to reach this goal, we propose a methodology to build a training set of re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::147191af55fdf414dfb17023ac879849
http://books.openedition.org/aaccademia/10932
http://books.openedition.org/aaccademia/10932