Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.
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Updated
May 7, 2020 - Python
Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
🏀 Script for generating the rotowire-modified dataset (Iso et al; ACL 2019)
The repository for the LUCAS/Lucify project
⛹️Code for Learning to Select, Track, and Generate for Data-to-Text (Iso et al; ACL 2019).
Data and related code for ACL2019 paper "Implicit Discourse Relation Identification for Open-domain Dialogues"
Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution, published at ACL 2019
Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
Taxonomy refinement method to improve domain-specific taxonomy systems.
Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)
Source code for the ACL workshop paper and Kaggle competition by Google AI team
Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
[ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.
Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471
PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
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