Entries by tag: natural-language-processing

Including child/synonym tags

Project Review: Text Classification of Legal Documents (Another one)  25 Apr 2020    project-review natural-language-processing

Short review with lessons learned for a contract project I worked on during early 2020. The aim of the project was to classify documents into classes, with some peculiarities and specific rules. Read More ›

Paper Summary: TextRank: Bringing Order into Texts  16 Sep 2019    paper-summary natural-language-processing

Summary of the 2004 article "TextRank: Bringing Order into Texts" by Mihalcea and Tarau. Read More ›

Paper Summary: Language Models are Unsupervised Multitask Learners  31 Aug 2019    paper-summary language-models

Summary of the 2019 article "Language Models are Unsupervised Multitask Learners" by Radford et al. Read More ›

Project Review: Text Classification of Legal Documents  02 Nov 2018    project-review natural-language-processing

Lessons learned from a data science project. Read More ›

Paper Summary: Multi-Label Classification on Tree- and DAG-Structured Hierarchies  02 Jul 2018    paper-summary multi-label structured-learning hierarchical-learning natural-language-processing

Summary of the 2011 article "Multi-Label Classification on Tree- and DAG-Structured Hierarchies" by Bi and Kwok. Read More ›

Paper Summary: The Natural Language Decathlon: Multitask Learning as Question Answering  30 Jun 2018    paper-summary natural-language-processing

Summary of the 2018 article "The Natural Language Decathlon: Multitask Learning as Question Answering" by McCann et al. Read More ›

Paper Summary: A Simple but Tough-to-beat Baseline for Sentence Embeddings  13 May 2018    paper-summary embeddings compositionality natural-language-processing

Summary of the 2017 article "A Simple but Tough-to-beat Baseline for Sentence Embeddings" by Arora et al. Read More ›

Paper Summary: Context is Everything: Finding Meaning Statistically in Semantic Spaces  01 May 2018    paper-summary compositionality embeddings natural-language-processing

Summary of the 2018 article "Context is Everything: Finding Meaning Statistically in Semantic Spaces" by Zelikman, where the author introduces CoSal weighting for bag-of-words vectors. Read More ›