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.
1 code implementation • SIGUL (LREC) 2022 • Pranaydeep Singh, Orphee De Clercq, Els Lefever
This paper reports on experiments for cross-lingual transfer using the anchor-based approach of Schuster et al. (2019) for English and a low-resourced language, namely Hindi.
no code implementations • LREC 2022 • Luna De Bruyne, Akbar Karimi, Orphee De Clercq, Andrea Prati, Veronique Hoste
In this paper, we present a multimodal dataset for Aspect-Based Emotion Analysis (ABEA).
Aspect-Based Sentiment Analysis (ABSA)
coreference-resolution
+3
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.
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.
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.
no code implementations • EACL (WASSA) 2021 • Cynthia Van Hee, Orphee De Clercq, Veronique Hoste
We investigate the feasibility of defining sentiment evoked by fine-grained news events.
no code implementations • EACL (WASSA) 2021 • Shabnam Tafreshi, Orphee De Clercq, Valentin Barriere, Sven Buechel, João Sedoc, Alexandra Balahur
This paper presents the results that were obtained from the WASSA 2021 shared task on predicting empathy and emotions.
no code implementations • COLING (CRAC) 2020 • Orphee De Clercq, Veronique Hoste
However, this is only the case when relying on gold-standard relations and the result is more outspoken for English than for Dutch.
Aspect-Based Sentiment Analysis (ABSA)
coreference-resolution
+2
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.
no code implementations • LREC 2020 • Orphee De Clercq, Senne Van Hoecke
Automated writing evaluation is a popular research field, but the main focus has been on evaluating argumentative essays.
no code implementations • WS 2019 • Claudia Matos Veliz, Orphee De Clercq, Veronique Hoste
One of the most persistent characteristics of written user-generated content (UGC) is the use of non-standard words.
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.