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absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

atec

2018atec蚂蚁金服NLP智能客服比赛 16th/2632

atec2018-nlp

2018年蚂蚁金服金融大脑赛题分享

bat-algorithms

python 数据结构 算法 LeetCode 牛客 面试 编程之美 动态规划 字典树 快速排序 树 字符串 数组 链表 全排列 堆排序 位运算 大数相加

bert

添加文本相似度数据预处理TensorFlow code and pre-trained models for BERT

bert-

bert-for-rrc-absa

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

bert-for-sequence-labeling-and-text-classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

bert-multitask-learning

BERT for Multitask Learning

bert-utils

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

bert_hae

BERT with History Answer Embedding for Conversational Question Answering

bert_ner

基于bert的ner，使用bilstm+crf

bertner

bert-ner for chinese with BiLSTM+CRF model

capsule-nlu

Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471

ccf-bdci-automotive-field-asc-2018

CCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案

chinesener

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

comparemodels_trecqa

Compare six baseline deep learning models on TrecQA

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

conv-knrm

Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search

daguan-classify-2018

2018达观杯长文本分类智能处理挑战赛 18解决方案

dialog-system-with-task-retrieval-and-seq2seq

2018 JDDC对话大赛亚军解决方案

dl4marco-bert

gitskills

jddc_solution_4th

2018-JDDC大赛第4名的解决方案

joint-nlu

Joint Slot Filling and Intent Prediction Use Attention and Slot Gate. NER, Intent classification

k-nrm

K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling

kaggle-quora-insincere-questions-classification

Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案

learngit

leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3