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08/23/2023
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track
Large-scale text retrieval technology has been widely used in various pr...
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06/07/2023
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks
To promote the development of Vision-Language Pre-training (VLP) and mul...
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10/27/2022
Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval
Pre-trained language model (PTM) has been shown to yield powerful text r...
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05/21/2022
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking
Deep pre-trained language models (e,g. BERT) are effective at large-scal...
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04/25/2022
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting
Self-augmentation has received increasing research interest recently to ...
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04/22/2022
Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations
Recent works of opinion expression identification (OEI) rely heavily on ...
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03/20/2022
Parallel Instance Query Network for Named Entity Recognition
Named entity recognition (NER) is a fundamental task in natural language...
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03/07/2022
Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
Passage retrieval is a fundamental task in information retrieval (IR) re...
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02/17/2022
AISHELL-NER: Named Entity Recognition from Chinese Speech
Named Entity Recognition (NER) from speech is among Spoken Language Unde...
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08/24/2021
Prompt-Learning for Fine-Grained Entity Typing
As an effective approach to tune pre-trained language models (PLMs) for ...
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05/31/2021
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition
Crowdsourcing is regarded as one prospective solution for effective supe...
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05/16/2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Recently, considerable literature has grown up around the theme of few-s...
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04/08/2021
Probing BERT in Hyperbolic Spaces
Recently, a variety of probing tasks are proposed to discover linguistic...
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10/24/2020
Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference
Keyphrase extraction (KE) aims to summarize a set of phrases that accura...
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07/16/2020