Search Results for author: Severine Verlinden

Found 6 papers, 3 papers with code

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

1 code implementation ACL 2022 Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren

We propose a resource-efficient method for converting a pre-trained CLM into this architecture, and demonstrate its potential on various experiments, including the novel task of contextualized word inclusion.

Text Generation

Extreme Multi-Label Skill Extraction Training using Large Language Models

no code implementations20 Jul 2023 Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester

Online job ads serve as a valuable source of information for skill requirements, playing a crucial role in labor market analysis and e-recruitment processes.

Contrastive Learning Extreme Multi-Label Classification

The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling

no code implementations30 Mar 2023 Joey Öhman, Severine Verlinden, Ariel Ekgren, Amaru Cuba Gyllensten, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Magnus Sahlgren

Pre-training Large Language Models (LLMs) require massive amounts of text data, and the performance of the LLMs typically correlates with the scale and quality of the datasets.

Language Modelling

Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution

1 code implementation Findings (ACL) 2021 Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder

The used KB entity representations are learned from either (i) hyperlinked text documents (Wikipedia), or (ii) a knowledge graph (Wikidata), and appear complementary in raising IE performance.

coreference-resolution Entity Linking +4

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