curated collection of papers for the nlp practitioner ππ©βπ¬
This is a curated list of papers that I have encountered in some capacity and deem worth including in the NLP practitioner's library. Some papers may appear in multiple sub-categories, if they don't fit easily into one of the boxes.
PRs are absolutely welcome! Direct any correspondence/questions to @mihail_eric.
Some special designations for certain papers:
:bulb: LEGEND: This is a game-changer in the NLP literature and worth reading.
:vhs: RESOURCE: This paper introduces some dataset/resource and hence may be useful for application purposes.
(2012) Baselines and Bigrams: Simple, Good Sentiment and Topic Classification
(2013) Recursive deep models for semantic compositionality over a sentiment treebank :vhs:
(2014) Distributed Representations of Sentences and Documents
(2019) Unsupervised Data Augmentation for Consistency Training
(2016) A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
(2017) SQuAD: 100,000+ Questions for Machine Comprehension of Text :vhs:
(2019) Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
(2019) Abductive Commonsense Reasoning
(2020) Differentiable Reasoning over a Virtual Knowledge Base
(2020) Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
(2020) DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
(2020) Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
(2020) What Question Answering can Learn from Trivia Nerds
(2020) Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings