| UKPLab/acl2017-neural_end2end_am |
56 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
other |
Python |
| Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining |
| liuhuanyong/ChineseHumorSentiment |
51 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| ChineseHumorSentiment, chinese humor sentiment mining including corpus build and mining nlp methods.中文文本幽默情绪计算项目,项目包括幽默文本语料库的构建,幽默计算模型,包括幽默等级识别,幽默类型识别,隐喻类型识别,隐喻情绪识别等,语言是幽默的,NLP也应该是幽默的. |
| vene/marseille |
50 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
bsd-3-clause |
Python |
| Mining Argument Structures with Expressive Inference (Linear and LSTM Engines) |
| moment-of-peace/EventForecast |
25 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
lgpl-3.0 |
Python |
| Time series prediction and text analysis using Keras LSTM, plus clustering, association rules mining |
| AlexYangLi/ALA |
15 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Python |
| Attention-based LSTM model with the Aspect information to solve financial opinion mining problem (WWW 2018 shared task1) |
| bartkowiaktomasz/har-wisdm-lstm-rnns |
12 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
|
Python |
| Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks |
