Search Results for author: Ziqiang Cao

Found 14 papers, 1 papers with code

BASS: Boosting Abstractive Summarization with Unified Semantic Graph

no code implementations ACL 2021 Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu, Haifeng Wang

Abstractive summarization for long-document or multi-document remains challenging for the Seq2Seq architecture, as Seq2Seq is not good at analyzing long-distance relations in text.

Abstractive Text Summarization Document Summarization +1

Incorporating Relevant Knowledge in Context Modeling and Response Generation

no code implementations9 Nov 2018 Yan-ran Li, Wenjie Li, Ziqiang Cao, Chengyao Chen

To sustain engaging conversation, it is critical for chatbots to make good use of relevant knowledge.

Chatbot

Faithful to the Original: Fact Aware Neural Abstractive Summarization

no code implementations13 Nov 2017 Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li

While previous abstractive summarization approaches usually focus on the improvement of informativeness, we argue that faithfulness is also a vital prerequisite for a practical abstractive summarization system.

Abstractive Text Summarization Extractive Summarization +2

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

11 code implementations IJCNLP 2017 Yan-ran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.

Improving Multi-Document Summarization via Text Classification

no code implementations28 Nov 2016 Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei

Developed so far, multi-document summarization has reached its bottleneck due to the lack of sufficient training data and diverse categories of documents.

Classification Document Summarization +3

Joint Copying and Restricted Generation for Paraphrase

no code implementations28 Nov 2016 Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li

In this paper, we develop a novel Seq2Seq model to fuse a copying decoder and a restricted generative decoder.

Abstractive Text Summarization Text Generation +1

AttSum: Joint Learning of Focusing and Summarization with Neural Attention

no code implementations COLING 2016 Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei, Yan-ran Li

Query relevance ranking and sentence saliency ranking are the two main tasks in extractive query-focused summarization.

Multi-Document Summarization via Discriminative Summary Reranking

no code implementations8 Jul 2015 Xiaojun Wan, Ziqiang Cao, Furu Wei, Sujian Li, Ming Zhou

However, according to our quantitative analysis, none of the existing summarization models can always produce high-quality summaries for different document sets, and even a summarization model with good overall performance may produce low-quality summaries for some document sets.

Document Summarization Multi-Document Summarization

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