Merge commit '2629fafd2cc340542879bf9dd91553a080211ab0' as 'MISA'

Author: Emrys-Hong

MISA/.gitignore

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+*.py[cod]
+*$py.class
+
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MISA/LICENSE

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+MIT License
+
+Copyright (c) 2020 Deep Cognition and Language Research (DeCLaRe) Lab
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

MISA/README.md

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+# MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
+Code for the [ACM MM 2020](https://2020.acmmm.org) paper [MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis](https://arxiv.org/pdf/2005.03545.pdf)
+
+
+<p align="center">
+  <img width="600" src="misa-pic.png">
+</p>
+
+
+
+### Setup the environment
+
+We work with a conda environment.
+
+```
+conda env create -f environment.yml
+conda activate misa-code
+```
+
+### Data Download
+
+- Install [CMU Multimodal SDK](https://github.com/A2Zadeh/CMU-MultimodalSDK). Ensure, you can perform ```from mmsdk import mmdatasdk```.    
+- Option 1: Download [pre-computed splits](https://drive.google.com/drive/folders/1IBwWNH0XjPnZWaAlP1U2tIJH6Rb3noMI?usp=sharing) and place the contents inside ```datasets``` folder.     
+- Option 2: Re-create splits by downloading data from MMSDK. For this, simply run the code as detailed next.
+
+### Running the code
+
+1. ```cd src```
+2. Set ```word_emb_path``` in ```config.py``` to [glove file](http://nlp.stanford.edu/data/glove.840B.300d.zip).
+3. Set ```sdk_dir``` to the path of CMU-MultimodalSDK.
+2. ```python train.py --data mosi```. Replace ```mosi``` with ```mosei``` or ```ur_funny``` for other datasets.
+
+### Citation
+
+If this paper is useful for your research, please cite us at:
+
+```
+@article{hazarika2020misa,
+  title={MISA: Modality-Invariant and-Specific Representations for Multimodal Sentiment Analysis},
+  author={Hazarika, Devamanyu and Zimmermann, Roger and Poria, Soujanya},
+  journal={arXiv preprint arXiv:2005.03545},
+  year={2020}
+}
+```
+
+### Contact
+
+For any questions, please email at [[email protected]](mailto:[email protected])