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Transformers

1816 directly classified papers

Papers per year

Papers

Transformer-based Approach for Predicting Chemical Compound Structures AACL 2020
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation AACL 2020
Identifying Nuanced Dialect for Arabic Tweets with Deep Learning and Reverse Translation Corpus Extension System COLING 2020
Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy COLING 2020
Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification COLING 2020
The University of Tokyo’s Submissions to the WAT 2020 Shared Task AACL 2020
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task AACL 2020
Goku’s Participation in WAT 2020 AACL 2020
Korean-to-Japanese Neural Machine Translation System using Hanja Information AACL 2020
WT: Wipro AI Submissions to the WAT 2020 AACL 2020
NLPRL Odia-English: Indic Language Neural Machine Translation System AACL 2020
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study INTERSPEECH 2020
Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System INTERSPEECH 2020
Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020
Transformer Hawkes Process ICML 2020
Stabilizing Transformers for Reinforcement Learning ICML 2020
DiDi’s Machine Translation System for WMT2020 EMNLP 2020
GTCOM Neural Machine Translation Systems for WMT20 EMNLP 2020
The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task EMNLP 2020
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents EMNLP 2020
Summaformers @ LaySumm 20, LongSumm 20 EMNLP 2020
Using Pre-Trained Transformer for Better Lay Summarization EMNLP 2020
CiteQA@CLSciSumm 2020 EMNLP 2020
AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20 EMNLP 2020