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1
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
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2
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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3
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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4
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
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5
Weakly supervised discourse segmentation for multiparty oral conversations ...
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6
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ...
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7
Evaluation of Summarization Systems across Gender, Age, and Race ...
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8
Controllable Neural Dialogue Summarization with Personal Named Entity Planning ...
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9
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ...
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10
A Thorough Evaluation of Task-Specific Pretraining for Summarization ...
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11
Effective Sequence-to-Sequence Dialogue State Tracking ...
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12
Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings ...
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13
Exploring Multitask Learning for Low-Resource Abstractive Summarization ...
Abstract: This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target task of abstractive summarization via multitask learning. We show that for many task combinations, a model trained in a multitask setting outperforms a model trained only for abstractive summarization, with no additional summarization data introduced. Additionally, we do a comprehensive search and find that certain tasks (e.g. paraphrase detection) consistently benefit abstractive summarization, not only when combined with other tasks but also when using different architectures and training corpora. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization
URL: https://underline.io/lecture/39833-exploring-multitask-learning-for-low-resource-abstractive-summarization
https://dx.doi.org/10.48448/msbx-dw55
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14
Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization ...
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15
Narrative Embedding: Re-Contextualization Through Attention ...
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16
TWEETSUMM - A Dialog Summarization Dataset for Customer Service ...
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17
SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ...
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18
AUTOSUMM: Automatic Model Creation for Text Summarization ...
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19
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods ...
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20
Retrieval Augmented Code Generation and Summarization ...
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