gillesj Goto Github PK
Name: Gilles Jacobs
Type: User
Bio: AI, NLP, ML Engineer & Data Scientist.
Twitter: gillesmjacobs
Location: Belgium
Blog: jacobsgill.es
Gilles Jacobs's Projects
sentivent-implicit-economic-sentiment
Implicit economic sentiment classification experiments
sentivent-sentiment-annotation-guidelines
Sentiment annotation guidelines for the SENTiVENT project
sentivent_event_sentence_classification
Sentence-level event classification experiments for the SENTiVENT Event dataset.
sentivent_webannoparser
Parser webanno XMI exported projects.
simpletransformers
Transformers made simple with training, evaluation, and prediction possible with one line each. Currently supports Sequence Classification (binary, multiclass, multilabel), Token Classification (NER), and Question Answering. Built on top of the Hugging Face Transformer library.
soundscrape
SoundCloud (and Bandcamp and Mixcloud) downloader in Python.
tinderbox
Automate Tinder swiping and introductions with Eigenfaces and StanfordNLP.
tmm-for-mams
Code for the NLPCC 2020 paper "Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis"
trackerjacker
Like nmap for mapping wifi networks you're not connected to, plus device tracking
tradetheevent
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
transformer-based-pretrained-model-for-event-extraction
Pre-trained language models such as bert / gpt2 / albert / xlm / roberta are used to perform event extraction tasks on ace2005. The code is modified on the nlpcl-lab / bert-event-extraction framework, replacing the model building part of the original project with the transformer and crf models of pytorch. The whole model adopts the sequence labeling method without using any auxiliary information. Use crf as the trigger word recognition, and then use crf for argument recognition based on the trigger word recognition results. When the pre-trained model selects xlm-roberta-large, trigger-f1 = 0.72; argument-f1 = 0.45. argument increased by 0.05.
transformers-cyberbullying-participants
Transformer-based text classification pipeline for cyberbullying participant detection.
trello-weekly
Script for reporting a weekly overview of activities in Trello.
trystero
Voice morpher written in Python. Designed to throw off ASR systems.
uppub
Push your publication list to several academic and professional social networks and resources in one go.
webannodiff
A script to compare WebAnno annotations and log differences
webannoproductivity
parse WebAnno logs to monitor annotator working hours.
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