• Refine your search:
  • 
    Keyword:
    
    • Computational Linguistics (46)
    • Machine Learning (46)
    • Machine Learning and Data Mining (46)
    • Natural Language Processing (46)
    • Text Summarization (46)
    • Language Models (12)
    • Computer programming (1)
    • Information Extraction (1)
    • Named Entity Recognition (1)
    • Natural language generation (1)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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. - : 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; Wu, Yonghui; Zhang, Ye; Zhao, Jeffrey. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.593/ Abstract: Sequence-to-sequence models have been applied to a wide variety of NLP tasks, but how to properly use them for dialogue state tracking has not been systematically investigated. In this paper, we study this problem from the perspectives of pre-training objectives as well as the formats of context representations. We demonstrate that the choice of pre-training objective makes a significant difference to the state tracking quality. In particular, we find that masked span prediction is more effective than auto-regressive language modeling. We also explore using Pegasus, a span prediction-based pre-training objective for text summarization, for the state tracking model. We found that pre-training for the seemingly distant summarization task works surprisingly well for dialogue state tracking. In addition, we found that while recurrent state context representation works also reasonably well, the model may have a hard time recovering from ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://underline.io/lecture/38022-effective-sequence-to-sequence-dialogue-state-tracking https://dx.doi.org/10.48448/nj9n-m011 BASE Hide 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

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 46 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0