Search Results for author:
Found 2 papers, 2 papers with code
When to Fold'em: How to answer Unanswerable questions
We present 3 different question-answering models trained on the SQuAD2. 0 dataset -- BIDAF, DocumentQA and ALBERT Retro-Reader -- demonstrating the improvement of language models in the past three years.
Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews
This paper presents an NLP (Natural Language Processing) approach to detecting spoilers in book reviews, using the University of California San Diego (UCSD) Goodreads Spoiler dataset.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
