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08/21/2023
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
Large language models (LLMs) have shown impressive ability for open-doma...
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08/17/2023
Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering
Multi-hop QA involves finding multiple relevant passages and step-by-ste...
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08/14/2023
EcomGPT: Instruction-tuning Large Language Model with Chain-of-Task Tasks for E-commerce
Recently, instruction-following Large Language Models (LLMs) , represent...
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06/21/2023
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
Entity Linking (EL) is a fundamental task for Information Extraction and...
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05/05/2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
The MultiCoNER 2 shared task aims to tackle multilingual named entity re...
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02/20/2023
Zero-Shot Information Extraction via Chatting with ChatGPT
Zero-shot information extraction (IE) aims to build IE systems from the ...
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09/27/2022
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking
Speech Entity Linking aims to recognize and disambiguate named entities ...
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04/02/2022
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition
In Uyghur speech, consonant and vowel reduction are often encountered, e...
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12/13/2021
PM-MMUT: Boosted Phone-mask Data Augmentation using Multi-modeing Unit Training for Robust Uyghur E2E Speech Recognition
Consonant and vowel reduction are often encountered in Uyghur speech, wh...
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10/18/2021
VRM-Phase I VKW system description of long-short video customizable keyword wakeup challenge
Keyword wakeup technology has always been a research hotspot in speech p...
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05/12/2021
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
Encoder pre-training is promising in end-to-end Speech Translation (ST),...
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11/30/2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
Large amounts of data has made neural machine translation (NMT) a big su...
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09/17/2020
Code-switching pre-training for neural machine translation
This paper proposes a new pre-training method, called Code-Switching Pre...
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08/13/2020
Cognitive Representation Learning of Self-Media Online Article Quality
The automatic quality assessment of self-media online articles is an urg...
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01/03/2020
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Chinese keyword spotting is a challenging task as there is no visual bla...
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02/20/2019