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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 46 1 Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Markus; Liu, Can. - : Underline Science Inc., 2021 BASE Show details 2 Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zou, Yicheng. - : Underline Science Inc., 2021 BASE Show details 3 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; He, Lifang; LIU, YE; S. Yu, Philip; Wan, Yao; Xia, Congying; Zhang, Jianguo. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.13/ Abstract: To capture the semantic graph structure from raw text, most existing summarization approaches are built on GNNs with a pre-trained model. However, these methods suffer from cumbersome procedures and inefficient computations for long-text documents. To mitigate these issues, this paper proposes HETFORMER, a Transformer-based pre-trained model with multi-granularity sparse attentions for long-text extractive summarization. Specifically, we model different types of semantic nodes in raw text as a potential heterogeneous graph and directly learn heterogeneous relationships (edges) among nodes by Transformer. Extensive experiments on both single- and multi-document summarization tasks show that HETFORMER achieves state-of-the-art performance in Rouge F1 while using less memory and fewer parameters. ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://underline.io/lecture/37574-hetformer-heterogeneous-transformer-with-sparse-attention-for-long-text-extractive-summarization https://dx.doi.org/10.48448/za5a-2696 BASE Hide details 4 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 BASE Show details 5 Weakly supervised discourse segmentation for multiparty oral conversations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ferrané, Isabelle; Gravellier, Lila. - : Underline Science Inc., 2021 BASE Show details 6 Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dai, Wenliang; Fung, Pascale. - : Underline Science Inc., 2021 BASE Show details 7 Evaluation of Summarization Systems across Gender, Age, and Race ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jørgensen, Anna; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 8 Controllable Neural Dialogue Summarization with Personal Named Entity Planning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Nancy; Liu, Zhengyuan. - : Underline Science Inc., 2021 BASE Show details 9 CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lin, Haitao; Ma, Liqun. - : Underline Science Inc., 2021 BASE Show details 10 A Thorough Evaluation of Task-Specific Pretraining for Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Maynez, Joshua; Narayan, Shashi. - : Underline Science Inc., 2021 BASE Show details 11 Effective Sequence-to-Sequence Dialogue State Tracking ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Yuan; Mahdieh, Mahdis. - : Underline Science Inc., 2021 BASE Show details 12 Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Saurav; Beckage, Nicole. - : Underline Science Inc., 2021 BASE Show details 13 Exploring Multitask Learning for Low-Resource Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Elaraby, Mohamed; Litman, Diane. - : Underline Science Inc., 2021 BASE Show details 14 Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lee, Dongyub. - : Underline Science Inc., 2021 BASE Show details 15 Narrative Embedding: Re-Contextualization Through Attention ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Glick, Madeleine; Wilner, Sean. - : Underline Science Inc., 2021 BASE Show details 16 TWEETSUMM - A Dialog Summarization Dataset for Customer Service ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Feigenblat, Guy; Gunasekara, Chulaka. - : Underline Science Inc., 2021 BASE Show details 17 SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Matteo; Fariha, Anna. - : Underline Science Inc., 2021 BASE Show details 18 AUTOSUMM: Automatic Model Creation for Text Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chhaya, Niyati; Nangi, Sharmila Reddy. - : Underline Science Inc., 2021 BASE Show details 19 A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Deutsch, Daniel. - : Underline Science Inc., 2021 BASE Show details 20 Retrieval Augmented Code Generation and Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3

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