| 1 |
Smart Auto-completion in Live Chat Utilizing the Power of T5 ; Smart automatisk komplettering i livechatt som utnyttjar styrkan hos T5
|
|
Wang, Zhanpeng. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Sequence-to-Sequence Acoustic Modeling with Semi-Stepwise Monotonic Attention for Speech Synthesis
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Improving Grapheme-to-Phoneme Conversion for Anglicisms in German Speech Recognition
|
|
|
|
In: Fraunhofer IAIS (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Asm2Seq: Explainable Assembly Code Functional Summary Generation
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
The Rare Word Issue in Natural Language Generation: A Character-Based Solution
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Controllable Sentence Simplification
|
|
|
|
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02678214 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org/proceedings/lrec2020/index.html (2020)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation
|
|
|
|
In: Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), ; SLTU-CCURL workshop, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-02895907 ; SLTU-CCURL workshop, LREC 2020, May 2020, Marseille, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Tamil Paraphrase Detection Using Encoder-Decoder Neural Networks
|
|
|
|
In: IFIP Advances in Information and Communication Technology ; 3rd International Conference on Computational Intelligence in Data Science (ICCIDS) ; https://hal.inria.fr/hal-03434784 ; 3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.30-42, ⟨10.1007/978-3-030-63467-4_3⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
A Data-Efficient End-to-End Spoken Language Understanding Architecture
|
|
|
|
In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-03094850 ; International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020, Barcellone, Spain (2020)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Comparison of Word2vec with Hash2vec for Machine Translation
|
|
|
|
In: Master's Projects (2020)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Advances in deep learning methods for speech recognition and understanding
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
|
|
|
|
In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02193867 ; Interspeech 2019, Sep 2019, Graz, Austria (2019)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
SEQUENCE-TO-SEQUENCE MODELLING OF F0 FOR SPEECH EMOTION CONVERSION
|
|
|
|
In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.sorbonne-universite.fr/hal-02018439 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom (2019)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Abstractive Sentence Compression with Event Attention
|
|
|
|
In: Applied Sciences ; Volume 9 ; Issue 19 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Diverse Decoding for Abstractive Document Summarization
|
|
|
|
In: Applied Sciences ; Volume 9 ; Issue 3 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Neural Sign Language Translation Based on Human Keypoint Estimation
|
|
|
|
In: Applied Sciences ; Volume 9 ; Issue 13 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
