385 citations · 450 across the 9 of their papers we have counts for
11 papers
Native Language Identification with Big Bird Embeddings
Sergey Kramp, Giovanni Cassani, Chris Emmery
Native Language Identification (NLI) intends to classify an author's native language based on their writing in another language. Historically, the task has heavily relied on time-c…
Tailoring Domain Adaptation for Machine Translation Quality Estimation
Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain +4
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data. For QE in particular…
User-Centered Security in Natural Language Processing
Chris Emmery
This dissertation proposes a framework of user-centered security in Natural Language Processing (NLP), and demonstrates how it can improve the accessibility of related research. Ac…
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model
Chris van der Lee, Thiago Castro Ferreira, Chris Emmery +2
This study discusses the effect of semi-supervised learning in combination with pretrained language models for data-to-text generation. It is not known whether semi-supervised lear…
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Chris Emmery, Ákos Kádár, Grzegorz Chrupała +1
A limited amount of studies investigates the role of model-agnostic adversarial behavior in toxic content classification. As toxicity classifiers predominantly rely on lexical cues…
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
Eva Vanmassenhove, Chris Emmery, Dimitar Shterionov
Recent years have seen an increasing need for gender-neutral and inclusive language. Within the field of NLP, there are various mono- and bilingual use cases where gender inclusive…
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
Chris Emmery, Ákos Kádár, Grzegorz Chrupała
Written language contains stylistic cues that can be exploited to automatically infer a variety of potentially sensitive author information. Adversarial stylometry intends to attac…
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
Chris Emmery, Ben Verhoeven, Guy De Pauw +6
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data. Nevertheless, while computational power and affo…
Style Obfuscation by Invariance
Chris Emmery, Enrique Manjavacas, Grzegorz Chrupała
The task of obfuscating writing style using sequence models has previously been investigated under the framework of obfuscation-by-transfer, where the input text is explicitly rewr…
Automatic Detection of Cyberbullying in Social Media Text
Cynthia Van Hee, Gilles Jacobs, Chris Emmery +6
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberb…
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
Stéphan Tulkens, Chris Emmery, Walter Daelemans
Word embeddings have recently seen a strong increase in interest as a result of strong performance gains on a variety of tasks. However, most of this research also underlined the i…