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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. - : Underline Science Inc., 2021 BASE Show 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; Hunter, Julie; Muller, Philippe; Pellegrini, Thomas. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.104/ Abstract: Discourse segmentation, the first step of discourse analysis, has been shown to improve results for text summarization, translation and other NLP tasks. While segmentation models for written text tend to perform well, they are not directly applicable to spontaneous, oral conversation, which has linguistic features foreign to written text. Segmentation is less studied for this type of language, where annotated data is scarce, and existing corpora more heterogeneous. We develop a weak supervision approach to adapt, using minimal annotation, a state of the art discourse segmenter trained on written text to French conversation transcripts. Supervision is given by a latent model bootstrapped by manually defined heuristic rules that use linguistic and acoustic information. The resulting model improves the original segmenter, especially in contexts where information on speaker turns is lacking or noisy, gaining up to 13% in F-score. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://underline.io/lecture/37794-weakly-supervised-discourse-segmentation-for-multiparty-oral-conversations https://dx.doi.org/10.48448/qyxq-tq15 BASE Hide 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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