Бастан аяқ модельдер

method ID: endtoendmodels

Related Papers

Deal or No Deal? End-to-End Learning of Negotiation Dialogues

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractMuch of human dialogue occurs in semi-cooperative settings, where agents with different goals attempt to agree on common decisions. Negotiations require complex communication and reasoning skills, but success is easy …...

32708

The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

This work describes the AMU-UEdin sub- mission to the WMT 2017 shared task on Automatic Post-Editing. We explore mul- tiple neural architectures adapted for the task of automatic post-editing of …...

27892

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractSpoken language translation has recently witnessed a resurgence in popularity, thanks to the development of end-to-end models and the creation of new corpora, such as Augmented LibriSpeech and MuST-C. Existing …...

14496

Mixed-Lingual Pre-training for Cross-lingual Summarization

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractCross-lingual Summarization (CLS) aims at producing a summary in the target language for an article in the source language. Traditional solutions employ a two-step approach, i.e. translate -> summarize or …...

389

Phone Features Improve Speech Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractEnd-to-end models for speech translation (ST) more tightly couple speech recognition (ASR) and machine translation (MT) than a traditional cascade of separate ASR and MT models, with simpler model architectures …...

38007

Speech Translation and the End-to-End Promise: Taking Stock of Where We Are

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractOver its three decade history, speech translation has experienced several shifts in its primary research themes; moving from loosely coupled cascades of speech recognition and machine translation, to exploring questions …...

37316

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Recently, Text-to-SQL for multi-turn dialogue has attracted great interest. Here, the user input of the current turn is parsed into the corresponding SQL query of the appropriate database, given all …...

33920

Mapping probability word problems to executable representations

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWhile solving math word problems automatically has received considerable attention in the NLP community, few works have addressed probability word problems specifically. In this paper, we employ and analyse various …...

31808

Streaming Models for Joint Speech Recognition and Translation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractUsing end-to-end models for speech translation (ST) has increasingly been the focus of the ST community. These models condense the previously cascaded systems by directly converting sound waves into translated …...

42599

The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes USTC-NELSLIP’s submissions to the IWSLT 2022 Offline Speech Translation task, including speech translation of talks from English to German, English to Chinese and English to Japanese. We …...

20674

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractState-of-the-art poetry generation systems are often complex. They either consist of task-specific model pipelines, incorporate prior knowledge in the form of manually created constraints, or both. In contrast, end-to-end models …...

38456