activity
19962022
most citedCharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

28 citations · 35 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2022

Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective

Lisa Raithel, Philippe Thomas, Roland Roller +3

In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content. The data consists of 4,169 binary annotated documents from…

cs.CL2022

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

Hui-Syuan Yeh, Thomas Lavergne, Pierre Zweigenbaum

Relation extraction is a core problem for natural language processing in the biomedical domain. Recent research on relation extraction showed that prompt-based learning improves th…

cs.CL2021★ 1 cited

Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?

Anfu Tang, Louise Deléger, Robert Bossy +2

Recently many studies have been conducted on the topic of relation extraction. The DrugProt track at BioCreative VII provides a manually-annotated corpus for the purpose of the dev…

q-bio.OT2021

Global alignment for relation extraction in Microbiology

Anfu Tang, Claire Nédellec, Pierre Zweigenbaum +2

We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparabl…

cs.CL2020★ 28 cited

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

Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne +3

Due to the compelling improvements brought by BERT, many recent representation models adopted the Transformer architecture as their main building block, consequently inheriting the…

cs.CL2019★ 5 cited

Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind

Zheng Zhang, Ruiqing Yin, Jun Zhu +1

Recent work in cross-lingual contextual word embedding learning cannot handle multi-sense words well. In this work, we explore the characteristics of contextual word embeddings and…

cmp-lg1996★ 1 cited

Processing Metonymy: a Domain-Model Heuristic Graph Traversal Approach

Jacques Bouaud, Bruno Bachimont, Pierre Zweigenbaum

We address here the treatment of metonymic expressions from a knowledge representation perspective, that is, in the context of a text understanding system which aims to build a con…