Sofie Labat

Sofie Labat

Universiteit Gent

H-index: 3

Europe-Belgium

About Sofie Labat

Sofie Labat, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Sentiment Analysis, Emotion Detection, Conversational Agents, Natural Language Processing, Computational Linguistics.

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

EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

Unimodalities Count as Perspectives in Multimodal Emotion Annotation

Processing and prescriptivism as constraints on language variation and change: Relative clauses in British and Australian English parliamentary debates

An emotional journey: Detecting emotion trajectories in Dutch customer service dialogues

Variation in the expression and annotation of emotions: a Wizard of Oz pilot study

Preface of Volume 11 of the Computational Linguistics in the Netherlands Journal

A million tweets are worth a few points: Tuning transformers for customer service tasks

Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings

Sofie Labat Information

University

Position

PhD researcher

Citations(all)

41

Citations(since 2020)

41

Cited By

6

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Sofie Labat Skills & Research Interests

Sentiment Analysis

Emotion Detection

Conversational Agents

Natural Language Processing

Computational Linguistics

Top articles of Sofie Labat

EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

Language Resources and Evaluation

2023/12/8

Sofie Labat
Sofie Labat

H-Index: 2

Thomas Demeester
Thomas Demeester

H-Index: 15

Unimodalities Count as Perspectives in Multimodal Emotion Annotation

2023

Processing and prescriptivism as constraints on language variation and change: Relative clauses in British and Australian English parliamentary debates

2022

Sofie Labat
Sofie Labat

H-Index: 2

Benedikt Szmrecsanyi
Benedikt Szmrecsanyi

H-Index: 27

An emotional journey: Detecting emotion trajectories in Dutch customer service dialogues

2022/10

Variation in the expression and annotation of emotions: a Wizard of Oz pilot study

2022

Sofie Labat
Sofie Labat

H-Index: 2

Thomas Demeester
Thomas Demeester

H-Index: 15

Preface of Volume 11 of the Computational Linguistics in the Netherlands Journal

Computational Linguistics in the Netherlands Journal

2021/12/20

A million tweets are worth a few points: Tuning transformers for customer service tasks

arXiv preprint arXiv:2104.07944

2021/4/16

Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings

2020/5

Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0)

LT3 Technical Report–LT3 20-01

2020/12/16

LT3 at SemEval-2020 task 7: Comparing feature-based and transformer-based approaches to detect funny headlines

2020

See List of Professors in Sofie Labat University(Universiteit Gent)

Co-Authors

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