| CINO: A Chinese Minority Pre-trained Language Model. | 0 | 0.34 | 2022 |
| Interactive Gated Decoder for Machine Reading Comprehension | 0 | 0.34 | 2022 |
| TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models | 0 | 0.34 | 2022 |
| HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity. | 0 | 0.34 | 2022 |
| Teaching Machines to Read, Answer and Explain | 0 | 0.34 | 2022 |
| HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection. | 0 | 0.34 | 2022 |
| Benchmarking Robustness of Machine Reading Comprehension Models. | 0 | 0.34 | 2021 |
| Pre-Training With Whole Word Masking for Chinese BERT | 4 | 0.46 | 2021 |
| Adversarial Training For Machine Reading Comprehension With Virtual Embeddings | 0 | 0.34 | 2021 |
| Revisiting Pre-Trained Models for Chinese Natural Language Processing | 0 | 0.34 | 2020 |
| Textbrewer: An Open-Source Knowledge Distillation Toolkit For Natural Language Processing | 0 | 0.34 | 2020 |
| CLUE - A Chinese Language Understanding Evaluation Benchmark. | 0 | 0.34 | 2020 |
| Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. | 0 | 0.34 | 2020 |
| CharBERT: Character-aware Pre-trained Language Model | 0 | 0.34 | 2020 |
| Is Graph Structure Necessary for Multi-hop Question Answering? | 0 | 0.34 | 2020 |
| Discriminative Sentence Modeling For Story Ending Prediction | 0 | 0.34 | 2020 |
| A Sentence Cloze Dataset for Chinese Machine Reading Comprehension | 0 | 0.34 | 2020 |
| TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots | 0 | 0.34 | 2019 |
| Exploiting Persona Information for Diverse Generation of Conversational Responses. | 4 | 0.41 | 2019 |
| A Span-Extraction Dataset for Chinese Machine Reading Comprehension | 1 | 0.39 | 2019 |
| Context-Sensitive Generation of Open-Domain Conversational Responses. | 1 | 0.35 | 2018 |
| Dataset for the First Evaluation on Chinese Machine Reading Comprehension. | 1 | 0.35 | 2018 |
| Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions | 5 | 0.49 | 2018 |
| HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension. | 3 | 0.40 | 2018 |
| Attention-Over-Attention Neural Networks For Reading Comprehension | 46 | 1.64 | 2017 |
| Consensus Attention-based Neural Networks for Chinese Reading Comprehension. | 17 | 1.01 | 2016 |
| LSTM Neural Reordering Feature for Statistical Machine Translation | 4 | 0.44 | 2015 |
| Context-extended phrase reordering model for pivot-based statistical machine translation | 0 | 0.34 | 2015 |
| Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT | 0 | 0.34 | 2015 |
| The USTC machine translation system for IWSLT 2014. | 0 | 0.34 | 2014 |
| Phrase Table Combination Deficiency Analyses in Pivot-Based SMT. | 1 | 0.36 | 2013 |
| The HIT-LTRC machine translation system for IWSLT 2012. | 0 | 0.34 | 2012 |
