research
∙
09/12/2022
Open-Domain Dialog Evaluation using Follow-Ups Likelihood
Automatic evaluation of open-domain dialogs remains an unsolved problem....
share
research
∙
03/14/2022
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection
We present CoNTACT: a Dutch language model adapted to the domain of COVI...
research
∙
01/17/2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
A limited amount of studies investigates the role of model-agnostic adve...
research
∙
10/05/2021
Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models
Knowledge Grounded Conversation Models (KGCM) are usually based on a sel...
research
∙
09/27/2021
MFAQ: a Multilingual FAQ Dataset
In this paper, we present the first multilingual FAQ dataset publicly av...
research
∙
08/02/2021
ConveRT for FAQ Answering
Knowledgeable FAQ chatbots are a valuable resource to any organization. ...
research
∙
05/22/2020
Character-level Transformer-based Neural Machine Translation
Neural machine translation (NMT) is nowadays commonly applied at the sub...
research
∙
03/30/2020
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
research
∙
10/25/2019
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal i...
research
∙
10/16/2019
Why can't memory networks read effectively?
Memory networks have been a popular choice among neural architectures fo...
research
∙
06/15/2019
A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling
This paper describes continuing work on semantic frame slot filling for ...
research
∙
01/30/2019
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models
We present a framework for the induction of semantic frames from utteran...
research
∙
09/11/2018
Multilingual Cross-domain Perspectives on Online Hate Speech
In this report, we present a study of eight corpora of online hate speec...
research
∙
08/29/2018
Rule induction for global explanation of trained models
Understanding the behavior of a trained network and finding explanations...
research
∙
07/03/2018
Patient representation learning and interpretable evaluation using clinical notes
We have three contributions in this work: 1. We explore the utility of a...
research
∙
03/26/2018
CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
We present a new dataset for machine comprehension in the medical domain...
research
∙
01/17/2018
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also in...
research
∙
11/14/2017
Unsupervised patient representations from clinical notes with interpretable classification decisions
We have two main contributions in this work: 1. We explore the usage of ...
research
∙
10/19/2017
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
We present an unsupervised context-sensitive spelling correction method ...
research
∙
03/29/2017
A Short Review of Ethical Challenges in Clinical Natural Language Processing
Clinical NLP has an immense potential in contributing to how clinical pr...
research
∙
08/31/2016
A Dictionary-based Approach to Racism Detection in Dutch Social Media
We present a dictionary-based approach to racism detection in Dutch soci...
research
∙
08/19/2016
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts
In this paper, we report a knowledge-based method for Word Sense Disambi...
research
∙
07/01/2016
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
Word embeddings have recently seen a strong increase in interest as a re...
research
∙
01/13/2016
Predicting the Effectiveness of Self-Training: Application to Sentiment Classification
The goal of this paper is to investigate the connection between the perf...
research
∙
01/11/2016
