Interpretability, Disambiguation, Anaphora and Discourse

Including Interpretability, Disambiguation, Anaphora, Discourse Relation Representation and etc.

Interpretability

[2012 COLING] Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding, [paper], [homepage].
[2015 NAACL] A Compositional and Interpretable Semantic Space, [paper].
[2015 EMNLP] Online Learning of Interpretable Word Embeddings, [paper].
[2015 ACL] SPOWV: Sparse Overcomplete Word Vector Representations, [paper], [mfaruqui/sparse-coding].
[2016 IJCAI] Sparse Word Embeddings Using l1 Regularized Online Learning, [paper], [slides].
[2017 ArXiv] Semantic Structure and Interpretability of Word Embeddings, [paper].
[2017 EMNLP] Rotated Word Vector Representations and their Interpretability, [paper], [poster], sources: [SungjoonPark/factor_rotation], [mvds314/factor_rotation].
[2018 AAAI] SPINE: SParse Interpretable Neural Embeddings, [paper], sources: [harsh19/SPINE].
[2018 ACL] Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder, [paper], [bibtex], sources: [tianran/glimvec].

[2015 VSM] A Simple Word Embedding Model for Lexical Substitution, [paper], sources: [orenmel/lexsub].
[2017 EMNLP] Deep Joint Entity Disambiguation with Local Neural Attention, [paper], sources: [dalab/deep-ed].

[2012 EMNLP] Joint Entity and Event Coreference Resolution across Documents, [paper], [bibtex].
[2016 EMNLP] Deep Reinforcement Learning for Mention-Ranking Coreference Models, [paper], [bibtex], [blog], [demo], sources: [huggingface/neuralcoref], [clarkkev/deep-coref].
[2016 ACL] Improving Coreference Resolution by Learning Entity-Level Distributed Representations, [paper], [bibtex], sources: [clarkkev/deep-coref].
[2017 ArXiv] Linguistic Knowledge as Memory for Recurrent Neural Networks, [paper], [bibtex].

[2017 EMNLP] Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification, [paper], [bibtex].