Search Results for author: Octavian Popescu

Found 28 papers, 0 papers with code

Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found

no code implementations9 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.

Domain Adaptation Language Modelling +1

Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management

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.

Management Sentence

Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment

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.

Natural Language Inference RTE

T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing

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.

Clustering

Mapping CPA Patterns onto OntoNotes Senses

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).

Machine Translation Sentence

Buildind a Resource of Patterns Using Semantic Types

no code implementations LREC 2012 Octavian Popescu

These patterns have slots which are filled by semantic types that capture the relevant information for disambiguation.

Machine Translation Natural Language Inference +1

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