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Hi there πŸ‘‹

I am a Ph.D. candidate in Machine Learning & Natural Language Processing at UKP Lab in TU Darmstadt, supervised by Prof. Iryna Gurevych. My main research interests are reasoning for Question Answering and Graph Neural Networks. Previously, I worked at the Coleridge Initiative, where I co-organized the Kaggle Competition Show US the Data. I got my master's degree from the School of Computing at KAIST, where I was a research assistant at IR&NLP Lab and advised by Professor Sung-Hyon Myaeng.

https://haritzpuerto.github.io

Haritz Puerto's Projects

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

entity_extractor icon entity_extractor

Collection of scripts to extract different semantic entities such as named-entities and SRL

finetune-qa icon finetune-qa

BERT, RoBERTa fine-tuning over SQuAD Dataset using pytorch-lightning⚑️, πŸ€—-transformers & πŸ€—-nlp.

gear icon gear

Source code for ACL 2019 paper "GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification"

hgcn icon hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hqq icon hqq

Official implementation of Half-Quadratic Quantization (HQQ)

jmetal icon jmetal

jMetal: a framework for multi-objective optimization with metaheuristics

kg-bert icon kg-bert

KG-BERT: BERT for Knowledge Graph Completion

langchain icon langchain

πŸ¦œπŸ”— Build context-aware reasoning applications

metaqa icon metaqa

MetaQA: Combining Expert Agents for Multi-Skill Question Answering

metavrp icon metavrp

Automatically exported from code.google.com/p/metavrp

ml-workspace icon ml-workspace

πŸ›  All-in-one web-based IDE specialized for machine learning and data science.

personal_website1 icon personal_website1

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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