Search Results for author: Veronique Hoste

Found 27 papers, 4 papers with code

An Emotional Journey: Detecting Emotion Trajectories in Dutch Customer Service Dialogues

1 code implementation COLING (WNUT) 2022 Sofie Labat, Amir Hadifar, Thomas Demeester, Veronique Hoste

The ability to track fine-grained emotions in customer service dialogues has many real-world applications, but has not been studied extensively.

Investigating Cross-Document Event Coreference for Dutch

no code implementations COLING (CRAC) 2022 Loic De Langhe, Orphee De Clercq, Veronique Hoste

In this paper we present baseline results for Event Coreference Resolution (ECR) in Dutch using gold-standard (i. e non-predicted) event mentions.

coreference-resolution Coreference Resolution +1

Variation in the Expression and Annotation of Emotions: A Wizard of Oz Pilot Study

no code implementations NLPerspectives (LREC) 2022 Sofie Labat, Naomi Ackaert, Thomas Demeester, Veronique Hoste

Finally, for the third premise, we observed a positive correlation between the internal-external agreement on emotion labels and the personality traits conscientiousness and extraversion.

D-Terminer: Online Demo for Monolingual and Bilingual Automatic Term Extraction

no code implementations TERM (LREC) 2022 Ayla Rigouts Terryn, Veronique Hoste, Els Lefever

This contribution presents D-Terminer: an open access, online demo for monolingual and multilingual automatic term extraction from parallel corpora.

Term Extraction Translation

Irony Detection for Dutch: a Venture into the Implicit

no code implementations WASSA (ACL) 2022 Aaron Maladry, Els Lefever, Cynthia Van Hee, Veronique Hoste

This paper presents the results of a replication experiment for automatic irony detection in Dutch social media text, investigating both a feature-based SVM classifier, as was done by Van Hee et al. (2017) and and a transformer-based approach.

Common Sense Reasoning

SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis

no code implementations WASSA (ACL) 2022 Ellen De Geyndt, Orphee De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, Veronique Hoste

In this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations.

Aspect-Based Sentiment Analysis (ABSA) Emotion Recognition

Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch

no code implementations RANLP 2021 Thierry Desot, Orphee De Clercq, Veronique Hoste

A core task in information extraction is event detection that identifies event triggers in sentences that are typically classified into event types.

Event Detection Event Extraction +2

Extracting Fine-Grained Economic Events from Business News

no code implementations FNP (COLING) 2020 Gilles Jacobs, Veronique Hoste

Based on a recently developed fine-grained event extraction dataset for the economic domain, we present in a pilot study for supervised economic event extraction.

Event Detection Event Extraction

Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion Detection

no code implementations EACL (WASSA) 2021 Luna De Bruyne, Orphee De Clercq, Veronique Hoste

The models are tested on 1, 000 Dutch tweets and 1, 000 captions from TV-shows which have been manually annotated with emotion categories and dimensions.

Language Modelling Meta-Learning

Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets

1 code implementation8 Jul 2021 Olha Kaminska, Chris Cornelis, Veronique Hoste

Social media are an essential source of meaningful data that can be used in different tasks such as sentiment analysis and emotion recognition.

Emotion Recognition Sentiment Analysis

Nearest neighbour approaches for Emotion Detection in Tweets

1 code implementation EACL (WASSA) 2021 Olha Kaminska, Chris Cornelis, Veronique Hoste

Emotion detection is an important task that can be applied to social media data to discover new knowledge.

LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines

no code implementations SEMEVAL 2020 Bram Vanroy, Sofie Labat, Olha Kaminska, Els Lefever, Veronique Hoste

This paper presents two different systems for the SemEval shared task 7 on Assessing Humor in Edited News Headlines, sub-task 1, where the aim was to estimate the intensity of humor generated in edited headlines.

Language Modelling named-entity-recognition +3

TermEval 2020: Shared Task on Automatic Term Extraction Using the Annotated Corpora for Term Extraction Research (ACTER) Dataset

no code implementations LREC 2020 Ayla Rigouts Terryn, Veronique Hoste, Patrick Drouin, Els Lefever

The TermEval 2020 shared task provided a platform for researchers to work on automatic term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction Research (ACTER).

Term Extraction

An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus

no code implementations LREC 2020 Luna De Bruyne, Orphee De Clercq, Veronique Hoste

Seeing the myriad of existing emotion models, with the categorical versus dimensional opposition the most important dividing line, building an emotion-annotated corpus requires some well thought-out strategies concerning framework choice.

Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat

no code implementations RANLP 2019 Ayla Rigouts Terryn, Patrick Drouin, Veronique Hoste, Els Lefever

Traditional approaches to automatic term extraction do not rely on machine learning (ML) and select the top n ranked candidate terms or candidate terms above a certain predefined cut-off point, based on a limited number of linguistic and statistical clues.

BIG-bench Machine Learning Term Extraction

Comparing MT Approaches for Text Normalization

no code implementations RANLP 2019 Claudia Matos Veliz, Orphee De Clercq, Veronique Hoste

Regarding NMT, we find that the translations - or normalizations - coming out of this model are far from perfect and that for a low-resource language like Dutch adding additional training data works better than artificially augmenting the data.

Data Augmentation Language Modelling +3

Evaluating automatic cross-domain Dutch semantic role annotation

no code implementations LREC 2012 Orph{\'e}e De Clercq, Veronique Hoste, Paola Monachesi

In this paper we present the first corpus where one million Dutch words from a variety of text genres have been annotated with semantic roles.

Coreference Resolution Semantic Role Labeling

From keystrokes to annotated process data: Enriching the output of Inputlog with linguistic information

no code implementations LREC 2012 Lieve Macken, Veronique Hoste, Mari{\"e}lle Leijten, Luuk Van Waes

In this paper we report on an extension to the keystroke logging program Inputlog in which we aggregate the logged process data from the keystroke (character) level to the word level.

Speech Recognition

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