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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 4 5...13 Hits 1 – 20 of 244 1 Summarization datasets from the KAS corpus KAS-Sum 1.0 Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022 BASE Show details 2 A Novel Approach for Semantic Extractive Text Summarization Waseemullah Waseemullah; Zainab Fatima; Shehnila Zardari; Muhammad Fahim; Maria Andleeb Siddiqui; Ag. Asri Ag. Ibrahim; Kashif Nisar; Laviza Falak Naz In: Applied Sciences; Volume 12; Issue 9; Pages: 4479 (2022) BASE Show details 3 Two New Datasets for Italian-Language Abstractive Text Summarization Nicola Landro; Ignazio Gallo; Riccardo La Grassa; Edoardo Federici In: Information; Volume 13; Issue 5; Pages: 228 (2022) BASE Show details 4 Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access Ermakova, Liana; Bellot, Patrice; Braslavski, Pavel... In: Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings ; ISBN: 978-3-030-85251-1 ; 12th Conference and Labs of the Evaluation Forum (CLEF 2021) ; https://hal.archives-ouvertes.fr/hal-03637807 ; 12th Conference and Labs of the Evaluation Forum (CLEF 2021), Sep 2021, Bucharest, Romania. pp.432-449, ⟨10.1007/978-3-030-85251-1_27⟩ ; http://clef2021.clef-initiative.eu/ (2021) BASE Show details 5 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 6 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 7 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 8 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 9 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 10 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 11 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 12 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 13 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 14 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 15 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 16 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; Kumar, Shachi; Manuvinakurike, Ramesh. - : Underline Science Inc., 2021 Abstract: Incremental meeting temporal summarization, summarizing relevant information of partial multi-party meeting dialogue, is emerging as the next challenge in summarization research. Here we examine the extent to which human abstractive summaries of the preceding increments (context) can be combined with extractive meeting dialogue to generate abstractive summaries. We find that previous context improves ROUGE scores. Our findings further suggest that contexts begin to outweigh the dialogue. Using keyphrase extraction and semantic role labeling (SRL), we find that SRL captures relevant information without overwhelming the the model architecture. By compressing the previous contexts by ~70%, we achieve better ROUGE scores over our baseline models. Collectively, these results suggest that context matters, as does the way in which context is presented to the model. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://underline.io/lecture/39827-context-or-no-contextquestion-a-preliminary-exploration-of-human-in-the-loop-approach-for-incremental-temporal-summarization-in-meetings https://dx.doi.org/10.48448/nkf7-1c08 BASE Hide details 17 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 18 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 19 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 20 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 Page: 1 2 3 4 5...13

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