A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A collection of datasets that pair questions with SQL queries.

A Japanese tokenizer based on recurrent neural networks

Simple Solution for Multi-Criteria Chinese Word Segmentation

A frame-semantic parsing system based on a softmax-margin SegRNN.

Source code for an ACL2017 paper on Chinese word segmentation

BiLSTM-CRF for sequence labeling in Dynet

Source code for an ACL2016 paper of Chinese word segmentation

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Dataset and model for disentangling chat on IRC

Code for the paper "Extreme Adaptation for Personalized Neural Machine Translation"

Source code for the paper "Morphological Inflection Generation with Hard Monotonic Attention"

An attentional NMT model in Dynet

DyNet implementation of stack LSTM experiments by Grefenstette et al.

Selective Encoding for Abstractive Sentence Summarization in DyNet

A Neural Attention Model for Abstractive Sentence Summarization in DyNet

Neural morphological disambiguation for Turkish. Implemented in DyNet

Turkish Morphological Analyzer with dictionaries for stems and suffixes + Neural Morphological Disambiguation implemented in DyNet

Convolutional Neural Networks for Sentence Classification in DyNet