Picture for Thomas Lavergne

Thomas Lavergne

LIMSI

A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages

Add code
Mar 27, 2024
Viaarxiv icon

Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction

Add code
Apr 21, 2022
Figure 1 for Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Figure 2 for Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Figure 3 for Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Figure 4 for Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Viaarxiv icon

CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

Add code
Oct 31, 2020
Figure 1 for CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Figure 2 for CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Figure 3 for CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Figure 4 for CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Viaarxiv icon

DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation

Add code
May 30, 2019
Figure 1 for DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
Figure 2 for DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
Figure 3 for DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
Figure 4 for DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
Viaarxiv icon

Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling

Add code
Jan 03, 2010
Figure 1 for Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Figure 2 for Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Figure 3 for Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Figure 4 for Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Viaarxiv icon