2023-12-12: 论文"Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations"和"IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions"被国际顶级会议EMNLP-2023评为杰出论文。
智能创作助手Effidit: 一个研究性原型系统,探索用 AI 技术提升写作者的写作效率和创作体验。它的主要功能包括文本补全、文本纠错、文本润色、K2S(基于关键词的句子推荐与生成)、云输入法等。其中文本补全包括短语补全、检索式句子补全、AI句子续写,文本润色包括短语润色、文本改写、文本扩写等。
[在线演示(Demo)|功能详解]
Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, and Jiebo Luo. Video-aided Unsupervised Grammar Induction. NAACL 2021. [Best Paper]
Deng Cai, Yan Wang, Huayang Li, Wai Lam, and Lemao Liu. Neural Machine Translation with Monolingual Translation Memory. ACL 2021. [Outstanding Paper]
Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, and Mrinmaya Sachan. Adapters for Enhanced Modeling of Multilingual Knowledge and Text. EMNLP 2022 (Findings). [Best Paper of MRL Workshop]
Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang, Hui Lu, and Jianhua Yao. scBERT as a Large-Scale Pretrained Deep Language Model for Cell Type Annotation of Single-Cell RNA-Seq Data. Nature Machine Intelligence (2022).
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu. Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP 2023. [Outstanding Paper]
Wenhao Yu, Meng Jiang, Peter Clark, and Ashish Sabharwal. IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP 2023. [Outstanding Paper]
Dian Yu, Kai Sun, Claire Cardie, and Dong Yu. Dialogue-Based Relation Extraction. ACL 2020. [Citations: 115]
Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, and William Yang Wang. Logical Natural Language Generation from Open-Domain Tables. ACL 2020. [Citations: 125]
Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, and Ting Liu. Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. ACL 2020. [Citations: 77]
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, and Changyou Chen. Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL 2020. [Citations: 73]
Shuo Wang, Zhaopeng Tu, Shuming Shi, and Yang Liu. On the Inference Calibration of Neural Machine Translation. ACL 2020. [Citations: 63]
Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, and Dapeng Wu. A Batch Normalized Inference Network Keeps the KL Vanishing Away. ACL 2020. [Citations: 64]
Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, and Yin Li. Comprehensive Image Captioning via Scene Graph Decomposition. ECCV 2020. [Citations: 109]
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL 2019. [Citations: 137]
Xintong Li, Guanlin Li, Lemao Liu, Max Meng, and Shuming Shi. On the Word Alignment from Neural Machine Translation. ACL 2019. [Citations: 73]
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, and Shuming Shi. Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL 2019. [Citations: 88]
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, and Dong Yu. Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. ACL 2019 (Short). [Citations: 235]
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, and Claire Cardie. DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. TACL 2019. [Citations: 252]
Xing Wang, Zhaopeng Tu, Longyue Wang, and Shuming Shi. Self-Attention Networks with Structural Position Representations. EMNLP 2019 (Short). [Citations: 71]
Kai Sun, Dian Yu, Dong Yu, and Claire Cardie. Improving Machine Reading Comprehension with General Reading Comprehension. NAACL 2019. [Citations: 124]
Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, and Zhaopeng Tu. Modeling Recurrence for Transformer. NAACL 2019. [Citations: 82]
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, and Shuming Shi. Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL 2019. [Citations: 75]
Baosong Yang, Longyue Wang, Derek Wong, Lidia S. Chao, and Zhaopeng Tu. Convolutional Self-Attention Networks. NAACL 2019 (Short). [Citations: 127]
Peifeng Wang, Jialong Han, Chenliang Li, and Rong Pan. Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. AAAI 2019. [Citations: 118]
Jiaao Chen, Jianshu Chen, and Zhou Yu. Incorporating Commonsense Knowledge for Story Completion. AAAI 2019. [Citations: 68]
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, and Tong Zhang. Modeling Localness for Self-Attention Networks. EMNLP 2018. [Citations: 187]
Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, and Irwin King. Topic Memory Networks for Short Text Classification. EMNLP 2018. [Citations: 156]
Ziyi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, and Tong Zhang. Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018. [Citations: 88]
Dingmin Wang, Yan Song, Jing Li, Jialong Han, and Haisong Zhang. A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check. EMNLP 2018. [Citations: 118]
Juntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi, and Rui Yan. Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training. EMNLP 2018. [Citations: 66]
Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, and Tong Zhang. Multi-Head Attention with Disagreement Regularization. EMNLP 2018 (Short). [Citations: 162]
Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, and Xiaojiang Liu. Translating Math Word Problem to Expression Tree. EMNLP 2018 (Short). [Citations: 156]