Pinned

1. Data-Rejuvenation

   Implementation of our paper "Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation" to appear in EMNLP 2020.

   Python 13 1

2. Pre-CODE

   Implementation of our paper "Exploiting Unsupervised Data for Emotion Recognition in Conversations" to appear in the Findings of EMNLP 2020.

   Python 3 1

3. AGHMN

   Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.

   Python 15 3

4. HiGRUs

   Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

   Python 48 6

5. BERT-Text-Features

   BERT-Text-Features for Tokenized Transcripts from P2FA.

   Python 3

6. ResNet-Video-Features

   Temporal video features extracted from ImageNet pre-trained ResNet-152.

   Python 2