ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

A PyTorch implementation of GraphRel

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

AMR Parsing as Sequence-to-Graph Transduction

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

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"

Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.

[ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling

The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)

Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

Source code for the ACL workshop paper and Kaggle competition by Google AI team

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

Taxonomy refinement method to improve domain-specific taxonomy systems.

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution, published at ACL 2019

Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"

⛹️Code for Learning to Select, Track, and Generate for Data-to-Text (Iso et al; ACL 2019).

:basketball: Script for generating the rotowire-modified dataset (Iso et al; ACL 2019)

Data and related code for ACL2019 paper "Implicit Discourse Relation Identification for Open-domain Dialogues"

The repository for the LUCAS/Lucify project

A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference

Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.