Search Results for author:
Found 13 papers, 1 papers with code
Investigating Cross-Document Event Coreference for Dutch
In this paper we present baseline results for Event Coreference Resolution (ECR) in Dutch using gold-standard (i. e non-predicted) event mentions.
Investigating the Quality of Static Anchor Embeddings from Transformers for Under-Resourced Languages
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.
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts
In this paper, we present a multimodal dataset for Aspect-Based Emotion Analysis (ABEA).
Aspect-Based Sentiment Analysis (ABSA)
coreference-resolution
+3
SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis
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.
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch
A core task in information extraction is event detection that identifies event triggers in sentences that are typically classified into event types.
Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion Detection
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.
Exploring Implicit Sentiment Evoked by Fine-grained News Events
We investigate the feasibility of defining sentiment evoked by fine-grained news events.
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories
This paper presents the results that were obtained from the WASSA 2021 shared task on predicting empathy and emotions.
It’s absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?
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
An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus
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.
An Exploratory Study into Automated Pr\'ecis Grading
Automated writing evaluation is a popular research field, but the main focus has been on evaluating argumentative essays.
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content
One of the most persistent characteristics of written user-generated content (UGC) is the use of non-standard words.
Comparing MT Approaches for Text Normalization
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.
