recommeddit / labs

ML/data experiments for Recommeddit
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labs

ML/data experiments for Recommeddit

Targeted Sentiment Analysis Papers: 1) https://arxiv.org/pdf/1903.09588v1.pdf --> 3/22/2019 2) https://arxiv.org/pdf/1905.03423.pdf --> 5/9/2019 3) https://arxiv.org/pdf/1902.09314v2.pdf from https://paperswithcode.com/paper/attentional-encoder-network-for-targeted 4) https://arxiv.org/pdf/2011.00169v1.pdf from https://paperswithcode.com/paper/understanding-pre-trained-bert-for-aspect --> pg. 2 5) https://www.aclweb.org/anthology/N19-1242.pdf --> pg. 5

Datasets/Models to use: 1) SemEval 2016 Task 5 (Laptop + Restaurants Reviews for aspect annotations): https://alt.qcri.org/semeval2016/task5/index.php?id=data-and-tools 2) RRC Dataset: https://howardhsu.github.io/dataset/ 3) Pre-trained BERT with Domain Knowledge: https://howardhsu.github.io/dataset/

NER Algorithm Papers: 1) https://www.proquest.com/docview/2549258112?OpenUrlRefId=info:xri/sid:primo&accountid=14522 2) https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1776-8