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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 Hits 1 – 20 of 70 1 Automatic Dialect Density Estimation for African American English ... Johnson, Alexander; Everson, Kevin; Ravi, Vijay. - : arXiv, 2022 BASE Show details 2 DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hajishirzi, Hannaneh; Lu, Bo-Ru. - : Underline Science Inc., 2021 BASE Show details 3 Dialogue State Tracking with a Language Model using Schema-Driven Prompting ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cheng, Hao; Lee, Chia-Hsuan. - : Underline Science Inc., 2021 BASE Show details 4 A Controllable Model of Grounded Response Generation ... Wu, Zeqiu; Galley, Michel; Brockett, Chris; Zhang, Yizhe; Gao, Xiang; Quirk, Chris; Koncel-Kedziorski, Rik; Gao, Jianfeng; Hajishirzi, Hannaneh; Ostendorf, Mari; Dolan, Bill. - : arXiv, 2020 Abstract: Current end-to-end neural conversation models inherently lack the flexibility to impose semantic control in the response generation process, often resulting in uninteresting responses. Attempts to boost informativeness alone come at the expense of factual accuracy, as attested by pretrained language models' propensity to "hallucinate" facts. While this may be mitigated by access to background knowledge, there is scant guarantee of relevance and informativeness in generated responses. We propose a framework that we call controllable grounded response generation (CGRG), in which lexical control phrases are either provided by a user or automatically extracted by a control phrase predictor from dialogue context and grounding knowledge. Quantitative and qualitative results show that, using this framework, a transformer based model with a novel inductive attention mechanism, trained on a conversation-like Reddit dataset, outperforms strong generation baselines. ... : AAAI 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2005.00613 https://dx.doi.org/10.48550/arxiv.2005.00613 BASE Hide details 5 Neural Models for Integrating Prosody in Spoken Language Understanding Tran, Trang. - 2020 BASE Show details 6 Automatic Analysis of Language Use in K-16 STEM Education and Impact on Student Performance Nadeem, Farah. - 2020 BASE Show details 7 Asynchronous Speech Recognition Affects Physician Editing of Notes Lybarger, Kevin J.; Ostendorf, Mari; Riskin, Eve. - : Georg Thieme Verlag KG, 2018 BASE Show details 8 Low-Rank RNN Adaptation for Context-Aware Language Modeling Jaech, Aaron. - 2018 BASE Show details 9 Parsing Speech: A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information ... Tran, Trang; Toshniwal, Shubham; Bansal, Mohit. - : arXiv, 2017 BASE Show details 10 Effective Use of Cross-Domain Parsing in Automatic Speech Recognition and Error Detection Marin, Marius. - 2015 BASE Show details 11 Automatic Characterization of Text Difficulty Medero, Julie. - 2014 BASE Show details 12 Data Selection for Statistical Machine Translation Axelrod, Amittai. - 2014 BASE Show details 13 Graph-based query strategies for active learning Wu, Wei; Ostendorf, Mari In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 2, 260-269 OLC Linguistik Show details 14 Rank and Sparsity in Language Processing Hutchinson, Brian. - 2013 BASE Show details 15 Joint reranking of parsing and word recognition with automatic segmentation Ostendorf, Mari; Kahn, Jeremy G. In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 1, 1-19 BLLDB OLC Linguistik Show details 16 Graph-based Algorithms for Lexical Semantics and its Applications Wu, Wei. - 2012 BASE Show details 17 Expected dependency pair match: predicting translation quality with expected syntactic structure Ostendorf, Mari; Kahn, Jeremy G.; Snover, Matthew G. In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 169-179 BLLDB OLC Linguistik Show details 18 A machine learning approach to reading level assessment Petersen, Sarah E.; Ostendorf, Mari In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 1, 89-106 OLC Linguistik Show details 19 A machine learning approach to reading level assessment Petersen, Sarah E.; Ostendorf, Mari In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 1, 89-106 BLLDB OLC Linguistik Show details 20 Improving robustness of MLLR adaptation with speaker-clustered regression class trees Mandal, Arindam; Ostendorf, Mari; Stolcke, Andreas In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 2, 176-199 BLLDB OLC Linguistik Show details Page: 1 2 3 4

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