MarkWuNLP / MultiTurnResponseSelection
This repo contains our ACL 2017 paper data and source code
☆721Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for MultiTurnResponseSelection
- Baseline Systems of DuReader Dataset☆1,136Updated 2 years ago
- KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation☆468Updated last year
- ☆444Updated 2 years ago
- word2vec/glove/swivel binary file on chinese corpus☆398Updated 8 years ago
- 中文文本语义相似度(Chinese Semantic Text Similarity)语料库建设☆472Updated 6 years ago
- Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.☆546Updated 4 years ago
- Just another seq2seq repo☆329Updated 6 years ago
- dgk_lost_conv 中文对白语料 chinese conversation corpus☆1,088Updated 3 years ago
- A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.☆1,243Updated 2 years ago
- 基于Pytorch的中文聊天机器人 集成BeamSearch算法☆241Updated 7 years ago
- 保险行业语料库,聊天机器人☆1,020Updated 4 months ago
- 使用预训练语言模型BERT做中文NER☆930Updated 4 years ago
- A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)☆417Updated 2 years ago
- 用于训练中英文对话系统的语料库 Datasets for Training Chatbot System☆2,033Updated 4 years ago
- Open Chinese Language Pre-trained Model Zoo☆979Updated 4 years ago
- Modeling Multi-turn Conversation with Deep Utterance Aggregation (COLING 2018)☆262Updated 4 years ago
- 基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs☆331Updated 4 years ago
- 高质量中文预训练模型集合:最先进大模型、最快小模型、相似度专门模型☆805Updated 4 years ago
- A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset☆651Updated 5 months ago
- Pre-Trained Chinese XLNet(中文XLNet预训练模型)☆1,652Updated last year
- Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations☆422Updated last year
- fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具,像spacy一样调用方便。☆753Updated 11 months ago
- seq2seq中文聊天机器人☆337Updated 6 years ago
- 序列化标注工具,基于PyTorch实现BLSTM-CNN-CRF模型,CoNLL 2003 English NER测试集F1值为91.10%(word and char feature)。☆362Updated 6 years ago
- bert中文分类实践☆737Updated 5 years ago
- 使用TensorFlow实现的Sequence to Sequence的聊天机器人模型☆794Updated 6 years ago
- Pre-trained Chinese ELECTRA(中文ELECTRA预训练模型)☆1,403Updated last year
- 对话机器人(聊天机器人)设计思考☆799Updated 4 years ago
- 基于知识库的问答:seq2seq模型实践☆356Updated 4 years ago
- Open Language Pre-trained Model Zoo☆987Updated 3 years ago