Search Results for author: Junwei Bao

Found 18 papers, 7 papers with code

BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog

1 code implementation5 May 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.

Denoising

LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking

1 code implementation5 May 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.

Dialogue State Tracking

OPERA:Operation-Pivoted Discrete Reasoning over Text

no code implementations29 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.

Machine Reading Comprehension Semantic Parsing

Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT

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.

Informativeness Natural Language Processing

CUSTOM: Aspect-Oriented Product Summarization for E-Commerce

no code implementations18 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.

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation

1 code implementation29 Jun 2021 Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu

Such training objective is sub-optimal when the target sequence is not perfect, e. g., when the target sequence is corrupted with noises, or when only weak sequence supervision is available.

Machine Translation Style Transfer +3

RevCore: Review-augmented Conversational Recommendation

no code implementations 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.

Response Generation

SGG: Learning to Select, Guide, and Generate for Keyphrase Generation

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.

Keyphrase Generation Text Generation

Table-to-Text: Describing Table Region with Natural Language

no code implementations29 May 2018 Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao

The model maps a row from a table to a continuous vector and then generates a natural language sentence by leveraging the semantics of a table.

Language Modelling

Content-Based Table Retrieval for Web Queries

no code implementations8 Jun 2017 Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, Zhoujun Li

Understanding the connections between unstructured text and semi-structured table is an important yet neglected problem in natural language processing.

Natural Language Processing

Constraint-Based Question Answering with Knowledge Graph

1 code implementation COLING 2016 Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao

WebQuestions and SimpleQuestions are two benchmark data-sets commonly used in recent knowledge-based question answering (KBQA) work.

Question Answering

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