1 code implementation • EMNLP 2021 • Haoran Li, Song Xu, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, BoWen Zhou
It thereby takes advantage of prior copying distributions and, at each time step, explicitly encourages the model to copy the input word that is relevant to the previously copied one.
Ranked #11 on Abstractive Text Summarization on CNN / Daily Mail (using extra training data)
1 code implementation • NAACL 2022 • Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao
To inherit the advantages of these two types of methods, we propose OPERA, an operation-pivoted discrete reasoning framework, where lightweight symbolic operations (compared with logical forms) as neural modules are utilized to facilitate the reasoning ability and interpretability.
no code implementations • 5 Sep 2023 • Peiying Wang, Sunlu Zeng, Junqing Chen, Lu Fan, Meng Chen, Youzheng Wu, Xiaodong He
Finally, we devise a novel label-guided attentive fusion module to fuse the label-aware text and speech representations for emotion classification.
no code implementations • 16 Jun 2023 • Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He
High-quality data is essential for conversational recommendation systems and serves as the cornerstone of the network architecture development and training strategy design.
no code implementations • 5 Jun 2023 • Li Fu, Siqi Li, Qingtao Li, Fangzhu Li, Liping Deng, Lu Fan, Meng Chen, Youzheng Wu, Xiaodong He
Self-Supervised Learning (SSL) Automatic Speech Recognition (ASR) models have shown great promise over Supervised Learning (SL) ones in low-resource settings.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 27 Nov 2022 • Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li
The pre-trained model can capture enriched visual concepts for images by learning from a large scale of text-image data.
Ranked #1 on Semantic Segmentation on PASCAL VOC
no code implementations • 10 Nov 2022 • Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He
Then, the noised previous state is used as the input to learn to predict the current state, improving the model's ability to update and correct slot values.
no code implementations • 22 Oct 2022 • Junwei Bao, Yifan Wang, Jiangyong Ying, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He
Conventional autoregressive left-to-right (L2R) sequence generation faces two issues during decoding: limited to unidirectional target sequence modeling, and constrained on strong local dependencies.
1 code implementation • 19 Oct 2022 • Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao
To preserve the advantage and eliminate the disadvantage of different granularity evidence, we propose MuGER$^2$, a Multi-Granularity Evidence Retrieval and Reasoning approach.
1 code implementation • 17 Oct 2022 • Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He
Traditional end-to-end task-oriented dialog systems first convert dialog context into belief state and action state before generating the system response.
1 code implementation • 15 Oct 2022 • Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao
Question answering requiring discrete reasoning, e. g., arithmetic computing, comparison, and counting, over knowledge is a challenging task.
1 code implementation • 26 Aug 2022 • Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He
This study investigates the task of knowledge-based question generation (KBQG).
1 code implementation • NAACL 2022 • Yifan Wang, Jing Zhao, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He
Dialogue state tracking (DST) aims to predict the current dialogue state given the dialogue history.
1 code implementation • Findings (NAACL) 2022 • Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He
To enhance the denoising capability of the model to reduce the impact of error propagation, denoising reconstruction is used to reconstruct the corrupted dialog state and response.
no code implementations • 29 Apr 2022 • Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao
To inherit the advantages of these two types of methods, we propose OPERA, an operation-pivoted discrete reasoning framework, where lightweight symbolic operations (compared with logical forms) as neural modules are utilized to facilitate the reasoning ability and interpretability.
1 code implementation • ACL 2022 • Jing Zhao, Yifan Wang, Junwei Bao, Youzheng Wu, Xiaodong He
To confront this, we propose FCA, a fine- and coarse-granularity hybrid self-attention that reduces the computation cost through progressively shortening the computational sequence length in self-attention.
no code implementations • 8 Oct 2021 • Li Fu, Xiaoxiao Li, Runyu Wang, Lu Fan, Zhengchen Zhang, Meng Chen, Youzheng Wu, Xiaodong He
End-to-end Automatic Speech Recognition (ASR) models are usually trained to optimize the loss of the whole token sequence, while neglecting explicit phonemic-granularity supervision.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 27 Sep 2021 • Nan Zhao, Haoran Li, Youzheng Wu, Xiaodong He, BoWen Zhou
We present the solutions of top-5 teams participating in the JDDC multimodal dialogue challenge based on this dataset, which provides valuable insights for further researches on the multimodal dialogue task.
1 code implementation • Findings (EMNLP) 2021 • Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, BoWen Zhou
To address this problem, we propose RoR, a read-over-read method, which expands the reading field from chunk to document.
1 code implementation • 18 Aug 2021 • Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, BoWen Zhou
To address the problem, we propose CUSTOM, aspect-oriented product summarization for e-commerce, which generates diverse and controllable summaries towards different product aspects.
1 code implementation • 18 Aug 2021 • Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, BoWen Zhou, Tiejun Zhao
Reasoning machine reading comprehension (R-MRC) aims to answer complex questions that require discrete reasoning based on text.
no code implementations • AKBC 2021 • Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, BoWen Zhou
Understanding the temporal relations among events in text is a critical aspect of reading comprehension, which can be evaluated in the form of temporal question answering (TQA).
1 code implementation • Findings (ACL) 2021 • Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He
Existing conversational recommendation (CR) systems usually suffer from insufficient item information when conducted on short dialogue history and unfamiliar items.
no code implementations • 13 May 2021 • Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, BoWen Zhou
Conversational artificial intelligence (ConvAI) systems have attracted much academic and commercial attention recently, making significant progress on both fronts.
1 code implementation • NAACL 2021 • Jing Zhao, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, BoWen Zhou
Keyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absent keyphrase which does not match any contiguous subsequence but is highly semantically related to the source.
1 code implementation • Findings (EMNLP) 2021 • Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, BoWen Zhou
K-PLUG achieves new state-of-the-art results on a suite of domain-specific NLP tasks, including product knowledge base completion, abstractive product summarization, and multi-turn dialogue, significantly outperforms baselines across the board, which demonstrates that the proposed method effectively learns a diverse set of domain-specific knowledge for both language understanding and generation tasks.
no code implementations • 9 Feb 2021 • Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, BoWen Zhou
Conversational Query Rewriting (CQR) aims to simplify the multi-turn dialogue modeling into a single-turn problem by explicitly rewriting the conversational query into a self-contained utterance.
1 code implementation • 1 Jan 2021 • Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, BoWen Zhou
K-PLUG achieves new state-of-the-art results on a suite of domain-specific NLP tasks, including product knowledge base completion, abstractive product summarization, and multi-turn dialogue, significantly outperforms baselines across the board, which demonstrates that the proposed method effectively learns a diverse set of domain-specific knowledge for both language understanding and generation tasks.
1 code implementation • COLING 2020 • Peng Yuan, Haoran Li, Song Xu, Youzheng Wu, Xiaodong He, BoWen Zhou
In this work, we present a model to generate e-commerce product summaries.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Ruosong Yang, Jiannong Cao, Zhiyuan Wen, Youzheng Wu, Xiaodong He
However, to solve the AES task, previous works utilize shallow neural networks to learn essay representations and constrain calculated scores with regression loss or ranking loss, respectively.
no code implementations • COLING 2020 • Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, BoWen Zhou, Tiejun Zhao
This paper aims to enhance the few-shot relation classification especially for sentences that jointly describe multiple relations.
2 code implementations • EMNLP 2020 • Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bo-Wen Zhou
We annotate a multimodal product attribute value dataset that contains 87, 194 instances, and the experimental results on this dataset demonstrate that explicitly modeling the relationship between attributes and values facilitates our method to establish the correspondence between them, and selectively utilizing visual product information is necessary for the task.
no code implementations • ACL 2020 • Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He, Bo-Wen Zhou
Copy module has been widely equipped in the recent abstractive summarization models, which facilitates the decoder to extract words from the source into the summary.
no code implementations • 11 May 2020 • Li Fu, Xiaoxiao Li, Libo Zi, Zhengchen Zhang, Youzheng Wu, Xiaodong He, BoWen Zhou
In this paper, we propose an incremental learning method for end-to-end Automatic Speech Recognition (ASR) which enables an ASR system to perform well on new tasks while maintaining the performance on its originally learned ones.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • LREC 2020 • Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bo-Wen Zhou
Human conversations are complicated and building a human-like dialogue agent is an extremely challenging task.
no code implementations • 9 May 2019 • Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He
We present a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation.