Search Results for author:
Found 15 papers, 7 papers with code
The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation
This paper describes the CACAPO dataset, built for training both neural pipeline and end-to-end data-to-text language generation systems.
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives
Recent years have seen an increasing need for gender-neutral and inclusive language.
Native Language Identification with Big Bird Embeddings
Native Language Identification (NLI) intends to classify an author's native language based on their writing in another language.
Tailoring Domain Adaptation for Machine Translation Quality Estimation
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data.
User-Centered Security in Natural Language Processing
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.
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
In terms of output quality, extending the training set of a data-to-text system with a language model using the pseudo-labeling approach did increase text quality scores, but the data augmentation approach yielded similar scores to the system without training set extension.
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
The perturbed data, models, and code are available for reproduction at https://github. com/cmry/augtox
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
Recent years have seen an increasing need for gender-neutral and inclusive language.
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
Written language contains stylistic cues that can be exploited to automatically infer a variety of potentially sensitive author information.
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data.
Style Obfuscation by Invariance
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 rewritten in another style.
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.
Simple Queries as Distant Labels for Predicting Gender on Twitter
The majority of research on extracting missing user attributes from social media profiles use costly hand-annotated labels for supervised learning.
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
With this research, we provide the embeddings themselves, the relation evaluation task benchmark for use in further research, and demonstrate how the benchmarked embeddings prove a useful unsupervised linguistic resource, effectively used in a downstream task.
The Development of Dutch and Afrikaans Language Resources for Compound Boundary Analysis.
Whereas in languages such as English the components that make up a compound are separated by a space, in languages such as Finnish, German, Afrikaans and Dutch these components are concatenated into one word.
