Search Results for author: Kaitao Zhang

Found 4 papers, 4 papers with code

OpenMatch: An Open Source Library for Neu-IR Research

1 code implementation • 30 Jan 2021 • Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun

OpenMatch is a Python-based library that serves for Neural Information Retrieval (Neu-IR) research.

Document Ranking Information Retrieval +1

443

Paper
Code

Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision

1 code implementation • ACL 2021 • Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett

To democratize the benefits of Neu-IR, this paper presents MetaAdaptRank, a domain adaptive learning method that generalizes Neu-IR models from label-rich source domains to few-shot target domains.

Information Retrieval Learning-To-Rank +1

Paper
Code

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search

3 code implementations • 3 Nov 2020 • Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett

Neural rankers based on deep pretrained language models (LMs) have been shown to improve many information retrieval benchmarks.

Domain Adaptation Few-Shot Learning +2

443

Paper
Code

Selective Weak Supervision for Neural Information Retrieval

1 code implementation • 28 Jan 2020 • Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu

This paper democratizes neural information retrieval to scenarios where large scale relevance training signals are not available.

Information Retrieval Learning-To-Rank +1

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.