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direct-intrinsic-evaluation

Supplementary materials for our paper "eliciting explicit knowledge from domain experts in direct intrinsic evaluation of word embeddings for specialized domains"

dr-qi

Supplementary materials for our paper: "At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of Interviews". We present the Demographic-Rich Qualitative UPV-Interviews Dataset (DR-QI) and release the code we used to implement our models.

infersent_replication

This project is a partial replication of the InferSent embeddings by Conneau et al. (2017), in which I create sentence embeddings through training on a Natural Language Inference Task for the course Advanced Topics in Computational Semantics at the University of Amsterdam.

namedentityrecognition

This repository includes code and data to train and compare several Named Entity Recognition Machine Learning systems. This project was carried out for the course Machine Learning for NLP at the Vrije Universiteit Amsterdam.

neural-sexism-recognition

My code and report for a neural network implemented from scratch, trained for sexism recognition. Project carried out for the course 'Machine Learning for NLP' at the Vrije Universiteit Amsterdam.

semanticrolelabelling

A Semantic Role Labelling System that performs the tasks of predicate extraction and argument classification. System created by Alice Ye, Vicky Kyrmanidi and G. van Boven for the course NLP Technologies at the Vrije Universiteit Amsterdam.

sick-nl-reproduction

srl_challengeset

A challenge set implemented using CheckList for evaluating SRL systems. This set targets six linguistic capabilities at the core of SRL. I evaluate the AllenNLP SRL and the AllenNLP SRL BERT model. This project was carried out for the course NLP Technologies at the Vrije Universiteit Amsterdam.

transforming_dutch

This repository contains the code for our paper"Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-Binary Pronouns"