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Natural language watermarking: Challenges in building a practical system.

, , , and . Security, Steganography, and Watermarking of Multimedia Contents, volume 6072 of SPIE Proceedings, page 60720A. SPIE, (2006)

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Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism., , , , and . Artif. Intell. Medicine, (September 2023)Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?, , and . CoRR, (2023)Natural language watermarking: Challenges in building a practical system., , , and . Security, Steganography, and Watermarking of Multimedia Contents, volume 6072 of SPIE Proceedings, page 60720A. SPIE, (2006)Spoken language variation over time and state in a natural spoken dialog system., and . ICASSP, page 721-724. IEEE Computer Society, (1999)Leveraging POMDPs Trained with User Simulations and Rule-based Dialogue Management in a Spoken Dialogue System., , , , and . SIGDIAL Conference, page 156-159. The Association for Computer Linguistics, (2009)Automatic speech recognition using acoustic confidence conditioned language models., and . EUROSPEECH, page 303-306. ISCA, (1999)A spoken dialogue system for conference/workshop services., , , , , , , and . INTERSPEECH, page 1041-1044. ISCA, (2000)Automatic acquisition of salient grammar fragments for call-type classification., , and . EUROSPEECH, page 1419-1422. ISCA, (1997)Detecting Emotion Carriers by Combining Acoustic and Lexical Representations., , , and . ASRU, page 31-38. IEEE, (2021)Spoken language understanding with kernels for syntactic/semantic structures., , and . ASRU, page 183-188. IEEE, (2007)