Search Results for author: Georgeta Bordea

Found 10 papers, 0 papers with code

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

no code implementations28 Sep 2023 Julien Delaunay, Hanh Thi Hong Tran, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet

Document-level relation extraction (DocRE) is an active area of research in natural language processing (NLP) concerned with identifying and extracting relationships between entities beyond sentence boundaries.

Document-level Relation Extraction Relation +1

Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph

no code implementations LREC 2020 Georgeta Bordea, Stefano Faralli, Fleur Mougin, Paul Buitelaar, Gayo Diallo

In this work, we propose an iterative methodology to extract an application-specific gold standard dataset from a knowledge graph and an evaluation framework to comparatively assess the quality of noisy automatically extracted taxonomies.

Knowledge Graphs

Forecasting Emerging Trends from Scientific Literature

no code implementations LREC 2016 Kartik Asooja, Georgeta Bordea, Gabriela Vulcu, Paul Buitelaar

Text analysis methods for the automatic identification of emerging technologies by analyzing the scientific publications, are gaining attention because of their socio-economic impact.

regression Time Series +1

Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings

no code implementations LREC 2014 Paul Buitelaar, Georgeta Bordea, Barry Coughlan

In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference.

Information Retrieval Machine Translation +2

Semi-Supervised Technical Term Tagging With Minimal User Feedback

no code implementations LREC 2012 Behrang QasemiZadeh, Paul Buitelaar, Tianqi Chen, Georgeta Bordea

In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus.

Dependency Parsing Language Modelling +1

Expertise Mining for Enterprise Content Management

no code implementations LREC 2012 Georgeta Bordea, Sabrina Kirrane, Paul Buitelaar, Bianca Pereira

Enterprise content analysis and platform configuration for enterprise content management is often carried out by external consultants that are not necessarily domain experts.

Information Retrieval Management +2

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