no code implementations • COLING 2022 • Octavian Popescu, Irene Manotas, Ngoc Phuoc An Vo, Hangu Yeo, Elahe Khorashani, Vadim Sheinin
Most attempts on Text-to-SQL task using encoder-decoder approach show a big problem of dramatic decline in performance for new databases.
no code implementations • 9 Dec 2023 • Irene Manotas, Octavian Popescu, Ngoc Phuoc An Vo, Vadim Sheinin
There are many recent advanced developments for the Text-to-SQL task, where the Picard model is one of the the top performing models as measured by the Spider dataset competition.
no code implementations • RANLP 2021 • Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin
Business Process Management (BPM) is the discipline which is responsible for management of discovering, analyzing, redesigning, monitoring, and controlling business processes.
no code implementations • COLING 2020 • Ngoc Phuoc An Vo, Irene Manotas, Vadim Sheinin, Octavian Popescu
Motion recognition is one of the basic cognitive capabilities of many life forms, however, detecting and understanding motion in text is not a trivial task.
no code implementations • LREC 2016 • Ngoc Phuoc An Vo, Octavian Popescu
In this paper we present the creation of a corpora annotated with both semantic relatedness (SR) scores and textual entailment (TE) judgments.
no code implementations • LREC 2014 • Octavian Popescu, Martha Palmer, Patrick Hanks
In this paper we present an alignment experiment between patterns of verb use discovered by Corpus Pattern Analysis (CPA; Hanks 2004, 2008, 2012) and verb senses in OntoNotes (ON; Hovy et al. 2006, Weischedel et al. 2011).
no code implementations • LREC 2014 • Elisabetta Jezek, Bernardo Magnini, Anna Feltracco, Alessia Bianchini, Octavian Popescu
The goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for Italian, acquired from corpora by manual clustering of distributional information about Italian verbs, to be used for linguistic analysis and semantic processing tasks.
no code implementations • LREC 2012 • Octavian Popescu
These patterns have slots which are filled by semantic types that capture the relevant information for disambiguation.