Simons2017's repositories
Generative-ChatBot
Chat-bot to answer the domain specific questions or to talk in human like way Chatbots are also called Conversational Agents or Dialog Systems. The Chatbot implemented in this paper is generative based. The basic algorithm used for developing Chatbot in this paper is Long Short Term Memory which a version of Recurrent Neural Network.
bert
TensorFlow code and pre-trained models for BERT
BertSum
Code for paper Fine-tune BERT for Extractive Summarization
cocoa
Framework for learning dialogue agents in a two-player game setting.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
Joint Extraction of Entities and Relations Based on cnn+rnn
knowledge-driven-dialogue
baseline system of knowledge driven dialogue competition
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
persona.chatbot
simply implement "Personalizing Dialogue Agents: I have a dog, do you have pets too? "
pyrouge
An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization
Research
novel deep learning research works with PaddlePaddle
simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
single-hop-rc
An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehension Model based on BERT)
THRED
The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
triplets-extraction
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme