Нөлдік кадрлық тасымалдау оқыту

method ID: zeroshottransferlearning

Related Papers

On the Language Neutrality of Pre-trained Multilingual Representations

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMultilingual contextual embeddings, such as multilingual BERT and XLM-RoBERTa, have proved useful for many multi-lingual tasks. Previous work probed the cross-linguality of the representations indirectly using zero-shot transfer learning on …...

32329

Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractZero-shot transfer learning for multi-domain dialogue state tracking can allow us to handle new domains without incurring the high cost of data acquisition. This paper proposes new zero-short transfer learning …...

38421

Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractFinetuning deep pre-trained language models has shown state-of-the-art performances on a wide range of Natural Language Processing (NLP) applications. Nevertheless, their generalization performance drops under domain shift. In the case …...

21651

InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractNatural language understanding is an important task in modern dialogue systems. It becomes more important with the rapid extension of the dialogue systems’ functionality. In this work, we present an …...

20329

Zero-Shot Dialogue State Tracking via Cross-Task Transfer

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractZero-shot transfer learning for dialogue state tracking (DST) enables us to handle a variety of task-oriented dialogue domains without the expense of collecting in-domain data. In this work, we propose …...

31255

Taiwanese-Accented Mandarin and English Multi-Speaker Talking-Face Synthesis System

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper proposes a multi-speaker talking-face synthesis system. The system incorporates voice cloning and lip-syncing technology to achieve text-to-talking-face generation by acquiring audio and video clips of any speaker and …...

1036

Transforming Sequence Tagging Into A Seq2Seq Task

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPretrained, large, generative language models (LMs) have had great success in a wide range of sequence tagging and structured prediction tasks. Casting a sequence tagging task as a Seq2Seq one …...

29860

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractZero-shot transfer learning for Dialogue State Tracking (DST) helps to handle a variety of task-oriented dialogue domains without the cost of collecting in-domain data. Existing works mainly study common data- …...

38747