Search Results for author: Dingkun Long

Found 11 papers, 6 papers with code

A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging

1 code implementation EMNLP 2021 Peijie Jiang, Dingkun Long, Yueheng Sun, Meishan Zhang, Guangwei Xu, Pengjun Xie

Self-training is one promising solution for it, which struggles to construct a set of high-quality pseudo training instances for the target domain.

Domain Adaptation POS +1

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval

no code implementations22 May 2023 Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie

Recently, various studies have been directed towards exploring dense passage retrieval techniques employing pre-trained language models, among which the masked auto-encoder (MAE) pre-training architecture has emerged as the most promising.

Passage Retrieval Retrieval

Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval

1 code implementation27 Oct 2022 Dingkun Long, Yanzhao Zhang, Guangwei Xu, Pengjun Xie

Pre-trained language model (PTM) has been shown to yield powerful text representations for dense passage retrieval task.

Language Modelling Masked Language Modeling +2

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

1 code implementation21 May 2022 Yanzhao Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie

Existing text retrieval systems with state-of-the-art performance usually adopt a retrieve-then-reranking architecture due to the high computational cost of pre-trained language models and the large corpus size.

Passage Ranking Passage Re-Ranking +2

Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

1 code implementation7 Mar 2022 Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang

We find that the performance of retrieval models trained on dataset from general domain will inevitably decrease on specific domain.

Passage Retrieval Retrieval

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference

no code implementations24 Oct 2020 Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang

Keyphrase extraction (KE) aims to summarize a set of phrases that accurately express a concept or a topic covered in a given document.

Keyphrase Extraction Representation Learning

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation

1 code implementation ACL 2020 Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Hai-Tao Zheng

In order to simultaneously alleviate these two issues, this paper proposes to couple distant annotation and adversarial training for cross-domain CWS.

Chinese Word Segmentation

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks

no code implementations3 Mar 2019 Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao

Gated models resolve this conflict by adaptively adjusting their state-update equations, whereas Vanilla RNN resolves this conflict by assigning different dimensions different tasks.

feature selection Memorization

Prototypical Recurrent Unit

no code implementations20 Nov 2016 Dingkun Long, Richong Zhang, Yongyi Mao

For this purpose, we design a simple and controllable task, called ``memorization problem'', where the networks are trained to memorize certain targeted information.


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