# Interpretability and Disambiguation

## Interpretability
- [2012 COLING] **Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding**, [[paper]](https://www.aclweb.org/anthology/C12-1118.pdf), [[bibtex]](https://www.aclweb.org/anthology/C12-1118.bib), [[homepage]](http://www.cs.cmu.edu/~bmurphy/NNSE/).
- [2015 NAACL] **A Compositional and Interpretable Semantic Space**, [[paper]](https://www.aclweb.org/anthology/N15-1004.pdf), [[bibtex]](https://www.aclweb.org/anthology/N15-1004.bib).
- [2015 EMNLP] **Online Learning of Interpretable Word Embeddings**, [[paper]](https://www.aclweb.org/anthology/D15-1196.pdf), [[bibtex]](https://www.aclweb.org/anthology/D15-1196.bib).
- [2015 ACL] **Sparse Overcomplete Word Vector Representations**, [[paper]](https://www.aclweb.org/anthology/P15-1144.pdf), [[bibtex]](https://www.aclweb.org/anthology/P15-1144.bib), [[mfaruqui/sparse-coding]](https://github.com/mfaruqui/sparse-coding).
- [2016 IJCAI] **Sparse Word Embeddings Using l1 Regularized Online Learning**, [[paper]](https://www.ijcai.org/Proceedings/16/Papers/414.pdf), [[bibtex]](/Bibtex/Sparse%20Word%20Embeddings%20Using%20l1%20Regularized%20Online%20Learning.bib), [[slides]](http://ofey.me/slides/sparse_ijcai16.pdf).
- [2017 EMNLP] **Rotated Word Vector Representations and their Interpretability**, [[paper]](https://www.aclweb.org/anthology/D17-1041.pdf), [[bibtex]](https://www.aclweb.org/anthology/D17-1041.bib), [[poster]](https://sungjoonpark.github.io./assets/emnlp2017_poster.pdf), sources: [[SungjoonPark/factor_rotation]](https://github.com/SungjoonPark/factor_rotation), [[mvds314/factor_rotation]](https://github.com/mvds314/factor_rotation).
- [2018 AAAI] **SPINE: SParse Interpretable Neural Embeddings**, [[paper]](https://arxiv.org/pdf/1711.08792.pdf), [[bibtex]](/Bibtex/SPINE.bib), sources: [[harsh19/SPINE]](https://github.com/harsh19/SPINE).
- [2018 ACL] **Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder**, [[paper]](https://www.aclweb.org/anthology/P18-1200.pdf), [[bibtex]](/Bibtex/Interpretable%20and%20Compositional%20Relation%20Learning%20by%20Joint%20Training%20with%20an%20Autoencoder.bib), sources: [[tianran/glimvec]](https://github.com/tianran/glimvec).
- [2018 TASLP] **Semantic Structure and Interpretability of Word Embeddings**, [[paper]](https://arxiv.org/pdf/1711.00331.pdf), [[bibtex]](/Bibtex/Semantic%20Structure%20and%20Interpretability%20of%20Word%20Embeddings.bib).
- [2020 ICLR] **Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models**, [[paper]](https://openreview.net/pdf?id=BkxRRkSKwr), [[bibtex]](/Bibtex/Towards%20Hierarchical%20Importance%20Attribution%20-%20Explaining%20Compositional%20Semantics%20for%20Neural%20Sequence%20Models.bib), sources: [[INK-USC/hierarchical-explanation-neural-sequence-models]](https://github.com/INK-USC/hierarchical-explanation-neural-sequence-models).

## Disambiguation
- [2015 VSM] **A Simple Word Embedding Model for Lexical Substitution**, [[paper]](https://www.aclweb.org/anthology/W15-1501.pdf), [[bibtex]](https://www.aclweb.org/anthology/W15-1501.bib), sources: [[orenmel/lexsub]](https://github.com/orenmel/lexsub).
- [2017 EMNLP] **Deep Joint Entity Disambiguation with Local Neural Attention**, [[paper]](https://www.aclweb.org/anthology/D17-1277.pdf), [[bibtex]](https://www.aclweb.org/anthology/D17-1277.bib), sources: [[dalab/deep-ed]](https://github.com/dalab/deep-ed).