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acl2017-neural_end2end_am

Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining

bert

TensorFlow code and pre-trained models for BERT

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding

biaffinedparser

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cws-naacl2019

Code and data for the NAACL 2019 paper "Improving Cross-Domain Chinese Word Segmentation with Word Embeddings"

entity-relation-extraction

A TensorFlow implementation of the paper _End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures_ (https://www.aclweb.org/anthology/P16-1105).

fast-krippendorff

Fast computation of Krippendorff's alpha agreement measure in Python.

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

grapat

A tool for graph annotations

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

keras_wiki_lm

Keras wikipedia-based Language Model

lstm-er

Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

lstm-parser

Transition-based dependency parser based on stack LSTMs

models

Models and examples built with TensorFlow

parser-v2

An updated version of the Parser-v1 repo, used for Stanford's submission in the CoNLL17 shared task.

parser-v3

Stanford CoNLL 2018 Graph-based Dependency Parser

stanfordnlp

[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza

thesis

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

thu_cl_2017fall

For the course computational linguistics (2017 Fall) at Tsinghua University

ts

word2vec-graph

Exploring word2vec embeddings as a graph of nearest neighbors