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Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
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Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
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Weakly supervised discourse segmentation for multiparty oral conversations ...
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Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ...
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Evaluation of Summarization Systems across Gender, Age, and Race ...
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Controllable Neural Dialogue Summarization with Personal Named Entity Planning ...
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CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.365/ Abstract: Dialogue summarization has drawn much attention recently. Especially in the customer service domain, agents could use dialogue summaries to help boost their works by quickly knowing customer’s issues and service progress. These applications require summaries to contain the perspective of a single speaker and have a clear topic flow structure, while neither are available in existing datasets. Therefore, in this paper, we introduce a novel Chinese dataset for Customer Service Dialogue Summarization (CSDS). CSDS improves the abstractive summaries in two aspects: (1) In addition to the overall summary for the whole dialogue, role-oriented summaries are also provided to acquire different speakers’ viewpoints. (2) All the summaries sum up each topic separately, thus containing the topic-level structure of the dialogue. We define tasks in CSDS as generating the overall summary and different role-oriented summaries for a given dialogue. ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization
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URL: https://underline.io/lecture/37624-csds-a-fine-grained-chinese-dataset-for-customer-service-dialogue-summarization https://dx.doi.org/10.48448/w9h9-gq93
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A Thorough Evaluation of Task-Specific Pretraining for Summarization ...
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Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings ...
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Exploring Multitask Learning for Low-Resource Abstractive Summarization ...
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Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization ...
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Narrative Embedding: Re-Contextualization Through Attention ...
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TWEETSUMM - A Dialog Summarization Dataset for Customer Service ...
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SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ...
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AUTOSUMM: Automatic Model Creation for Text Summarization ...
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A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods ...
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