1 code implementation • NAACL 2022 • Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
In this paper, we introduce Dialogue Sentence Embedding (DSE), a self-supervised contrastive learning method that learns effective dialogue representations suitable for a wide range of dialogue tasks.
no code implementations • 8 Dec 2021 • Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan
With our strong online data augmentation strategy, the proposed SSReg shows the potential of self-supervised learning without using negative pairs and it can significantly improve the performance of self-supervised speaker representation learning with a simple Siamese network architecture.
1 code implementation • Findings (ACL) 2022 • Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold
We then define an instance discrimination task regarding this neighborhood and generate the virtual augmentation in an adversarial training manner.
1 code implementation • EMNLP 2021 • Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Many recent successes in sentence representation learning have been achieved by simply fine-tuning on the Natural Language Inference (NLI) datasets with triplet loss or siamese loss.
no code implementations • Findings (ACL) 2021 • Xiaofei Ma, Cicero Nogueira dos santos, Andrew O. Arnold
The performance of state-of-the-art neural rankers can deteriorate substantially when exposed to noisy inputs or applied to a new domain.
1 code implementation • ACL 2021 • Feng Nan, Cicero Nogueira dos santos, Henghui Zhu, Patrick Ng, Kathleen McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
A commonly observed problem with the state-of-the art abstractive summarization models is that the generated summaries can be factually inconsistent with the input documents.
1 code implementation • ACL 2021 • Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira dos santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
When multiple plausible answers are found, the system should rewrite the question for each answer to resolve the ambiguity.
1 code implementation • NeurIPS 2020 • Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen
We address this problem with a novel QE method that is more faithful to deductive reasoning, and show that this leads to better performance on complex queries to incomplete KBs.
no code implementations • 8 Nov 2019 • Andrew O. Arnold, William W. Cohen
We focus on the problem of search in the multilingual setting.