ProfessorsProfessors of Universität HamburgAmy Isard

Amy Isard

Universität Hamburg

H-index: 20

Europe-Germany

About Amy Isard

Amy Isard, With an exceptional h-index of 20 and a recent h-index of 10 (since 2020), a distinguished researcher at Universität Hamburg, specializes in the field of Computational Linguistics, Corpus Annotation, Natural Language Generation, Dialogue Systems, Multimodal Corpora.

His recent articles reflect a diverse array of research interests and contributions to the field:

Curation criteria for multimodal and multilingual data: a mixed study within the Quest Project

MY DGS–ANNIS: ANNIS and the Public DGS Corpus

QUEST: Guidelines and Specifications for the Assessment of Audiovisual, Annotated Language Data

Neural NLG for methodius: From RST meaning representations to texts

Approaches to the anonymisation of sign language corpora

Amy Isard Information

University	Universität Hamburg
Position	___
Citations(all)	2176
Citations(since 2020)	402
Cited By	1903
hIndex(all)	20
hIndex(since 2020)	10
i10Index(all)	31
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Universität Hamburg
Google Scholar	View Google Scholar Profile

Amy Isard Skills & Research Interests

Computational Linguistics

Corpus Annotation

Natural Language Generation

Dialogue Systems

Multimodal Corpora

Top articles of Amy Isard

Title	Journal	Author(s)	Publication Date
Curation criteria for multimodal and multilingual data: a mixed study within the Quest Project	CLARIN Annual Conference	Amy Isard Elena Arestau	2022/7/8
MY DGS–ANNIS: ANNIS and the Public DGS Corpus		Amy Isard Reiner Konrad	2022/6/25
QUEST: Guidelines and Specifications for the Assessment of Audiovisual, Annotated Language Data		Jocelyn Aznar Anna Wamprechtshammer Elena Arestau Hanna Hedeland Amy Isard ...	2022
Neural NLG for methodius: From RST meaning representations to texts		Symon Stevens-Guille Aleksandre Maskharashvili Amy Isard Xintong Li Michael White	2020/12
Approaches to the anonymisation of sign language corpora		Amy Isard	2020/5