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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...7 Hits 1 – 20 of 133 1 Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ... Liu, Linda. - : Open Science Framework, 2022 BASE Show details 2 Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System June-Woo Kim; Hyekyung Yoon; Ho-Young Jung In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022) BASE Show details 3 МЕХАНИЗМЫ МЫШЛЕНИЯ И ИХ ФУНКЦИОНИРОВАНИЕ В ПРОЦЕССЕ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ... : MECHANISMS OF THINKING AND THEIR FUNCTIONING IN THE PROCESS OF TRANSLATION ACTIVITY ... Н.В. Кондрашова. - : Мир науки, культуры, образования, 2021 BASE Show details 4 Adaptation and generalization during accent adaptation ... Liu, Linda. - : Open Science Framework, 2021 BASE Show details 5 Peculiarities of Children's Understanding of the Figurative Meaning of Phrases and their Use in Spontaneous Speech: The relevant a State of Development ... Nataliia, Kharchenko; Inna, Mysan. - : Zenodo, 2021 BASE Show details 6 Peculiarities of Children's Understanding of the Figurative Meaning of Phrases and their Use in Spontaneous Speech: The relevant a State of Development ... Nataliia, Kharchenko; Inna, Mysan. - : Zenodo, 2021 BASE Show details 7 Learning speech embeddings for speaker adaptation and speech understanding Sari, Leda. - 2021 BASE Show details 8 Modeling phones, keywords, topics and intents in spoken languages Chen, Wenda. - 2021 BASE Show details 9 Psychological Approaches for Building up a Monologue-Story ; Психологічні підходи до побудови монологу-розповіді Ногачевська, Інна; Логвіна, Оксана In: Collection of Research Papers "Problems of Modern Psychology"; No. 52 (2021): Collection of Research Papers "Problems of Modern Psychology"; 204-224 ; Збірник наукових праць "Проблеми сучасної психології"; № 52 (2021): Збірник наукових праць "Проблеми сучасної психології"; 204-224 ; 2663-6956 ; 2227-6246 ; 10.32626/2227-6246.2021-52 (2021) BASE Show details 10 Phonemic transcription of low-resource languages: To what extent can preprocessing be automated? Wisniewski, Guillaume; Michaud, Alexis; Guillaume, Séverine In: 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop ; https://halshs.archives-ouvertes.fr/hal-02513914 ; 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop, 2020, Marseille, France. pp.306-315 ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLbook.pdf (2020) BASE Show details 11 Natural language understanding in argumentative dialogue systems ... Shigehalli, Pavan Rajashekhar. - : Universität Ulm, 2020 BASE Show details 12 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 13 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 14 Формирование умений аудирования на уровне магистратуры в МАРХИ ... : Formation of listening skills at the level of magistracy in MARHI ... Смирнов Максим Владимирович. - : Наука, образование и экспериментальное проектирование, 2020 BASE Show details 15 Phonemic transcription of low-resource languages: To what extent can preprocessing be automated? Wisniewski, Guillaume; Michaud, Alexis; Guillaume, Séverine In: 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop ; https://halshs.archives-ouvertes.fr/hal-02513914 ; 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop, 2020, Marseille, France. pp.306-315 ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLbook.pdf (2020) BASE Show details 16 Advances in deep learning methods for speech recognition and understanding Serdyuk, Dmitriy. - 2020 BASE Show details 17 Communication-based Evaluation for Natural Language Generation Newman, Benjamin; Cohn-Gordon, Reuben; Potts, Christopher In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 18 Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning Marzinotto, Gabriel; Damnati, Geraldine; Béchet, Frédéric In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02298417 ; Interspeech 2019, Sep 2019, Graz, Austria. pp.799-803, ⟨10.21437/Interspeech.2019-2732⟩ (2019) Abstract: International audience ; This paper presents a new semantic frame parsing model, based on Berkeley FrameNet, adapted to process spoken documents in order to perform information extraction from broadcast contents. Building upon previous work that had shown the effectiveness of adversarial learning for domain generalization in the context of semantic parsing of encyclopedic written documents, we propose to extend this approach to elocutionary style generalization. The underlying question throughout this study is whether adversarial learning can be used to combine data from different sources and train models on a higher level of abstraction in order to increase their robustness to lexical and stylistic variations as well as automatic speech recognition errors. The proposed strategy is evaluated on a French corpus of encyclopedic written documents and a smaller corpus of radio podcast transcriptions, both annotated with a FrameNet paradigm. We show that adversarial learning increases all models generalization capabilities both on manual and automatic speech transcription as well as on encyclopedic data. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Adversarial learn- ing; Adversarial learning; FrameNet; Index Terms: semantic parsing; semantic parsing; speech recognition; spoken language; understanding URL: https://hal.archives-ouvertes.fr/hal-02298417/file/main.pdf https://hal.archives-ouvertes.fr/hal-02298417/document https://hal.archives-ouvertes.fr/hal-02298417 https://doi.org/10.21437/Interspeech.2019-2732 BASE Hide details 19 Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling Dinarelli, Marco; Grobol, Loïc In: CICLing 2019 - 20th International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.inria.fr/hal-02085093 ; CICLing 2019 - 20th International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2019, La Rochelle, France (2019) BASE Show details 20 Intelligibility and Listening Effort of Spanish Oesophageal Speech Sneha Raman; Luis Serrano; Axel Winneke... In: Applied Sciences ; Volume 9 ; Issue 16 (2019) BASE Show details Page: 1 2 3 4 5...7

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