Rem105-210 / MSTI

MSTI

Multimodal Sarcasm Target Identification in Tweets

Environment

Python packages

• python==3.7
• torch==1.8.0
• gensim==3.8.0
• numpy==1.18.3
• torchcrf==1.0.4
• pytorch-pretrained-bert==0.6.2 (pip install -r requirements.txt)

Configuration

All configuration are listed in main.py. Please verify parameters before running the codes.

Data

datasets/
├── images/ 
├── Visual target labels/
└── Textual target labels/
    ├──train
    ├──val
    └──test

####The MSTI datasets format is as follows:

IMGID:9737
nice	O
warm	O
running	O
weather	B-S
this	O
morning	O
...	O

IMGID:9516
andy	B-S
murray	I-S
thrown	O
out	O
of	O
#	O
australianopen	O
after	O
celebrating	O
his	O
win	O
.	O

Pre-trained Models

pretrained/
├── bert-base-uncased/
│   ├── vocab.txt
│   ├── bert_config.json
│   └── pytorch_model.bin
├── bert-large-uncased/
│   ├── vocab.txt
│   ├── bert_config.json
│   └── pytorch_model.bin
└── yolo/

Usage

Training

• python main.py

Testing

• python test.py