- [2012 COLING] Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding, [paper], [bibtex], [homepage].
- [2015 NAACL] A Compositional and Interpretable Semantic Space, [paper], [bibtex].
- [2015 EMNLP] Online Learning of Interpretable Word Embeddings, [paper], [bibtex].
- [2015 ACL] Sparse Overcomplete Word Vector Representations, [paper], [bibtex], [mfaruqui/sparse-coding].
- [2016 IJCAI] Sparse Word Embeddings Using l1 Regularized Online Learning, [paper], [bibtex], [slides].
- [2017 EMNLP] Rotated Word Vector Representations and their Interpretability, [paper], [bibtex], [poster], sources: [SungjoonPark/factor_rotation], [mvds314/factor_rotation].
- [2018 AAAI] SPINE: SParse Interpretable Neural Embeddings, [paper], [bibtex], sources: [harsh19/SPINE].
- [2018 ACL] Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder, [paper], [bibtex], sources: [tianran/glimvec].
- [2018 TASLP] Semantic Structure and Interpretability of Word Embeddings, [paper], [bibtex].
- [2020 ICLR] Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models, [paper], [bibtex], sources: [INK-USC/hierarchical-explanation-neural-sequence-models].
- [2015 VSM] A Simple Word Embedding Model for Lexical Substitution, [paper], [bibtex], sources: [orenmel/lexsub].
- [2017 EMNLP] Deep Joint Entity Disambiguation with Local Neural Attention, [paper], [bibtex], sources: [dalab/deep-ed].