Search Results for author: Fei Cheng

Found 23 papers, 6 papers with code

Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision

no code implementations18 May 2022 Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song, Sadao Kurohashi

Contrastive pre-training on distant supervision has shown remarkable effectiveness for improving supervised relation extraction tasks.

Contrastive Learning Relation Extraction

Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding

no code implementations10 Nov 2021 Qianying Liu, Fei Cheng, Sadao Kurohashi

Meta learning with auxiliary languages has demonstrated promising improvements for cross-lingual natural language processing.

Cross-Lingual Transfer Meta-Learning +4

JaMIE: A Pipeline Japanese Medical Information Extraction System

1 code implementation8 Nov 2021 Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi

We present an open-access natural language processing toolkit for Japanese medical information extraction.

Natural Language Processing

ShipSRDet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation

no code implementations17 Mar 2021 Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng

In this paper, we explore the potential benefits introduced by image SR to ship detection, and propose an end-to-end network named ShipSRDet.

Image Super-Resolution

A Hybrid Bandit Framework for Diversified Recommendation

no code implementations24 Dec 2020 Qinxu Ding, Yong liu, Chunyan Miao, Fei Cheng, Haihong Tang

Previous interactive recommendation methods primarily focus on learning users' personalized preferences on the relevance properties of an item set.

online learning Recommendation Systems

Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction

1 code implementation Findings of the Association for Computational Linguistics 2020 Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi

We propose a novel Sequence-to-Unordered-Multi-Tree (Seq2UMTree) model to minimize the effects of exposure bias by limiting the decoding length to three within a triplet and removing the order among triplets.

Joint Entity and Relation Extraction

Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors

no code implementations14 Aug 2020 Fei Cheng, Yusuke Miyao

Another contribution of this work is to construct a larger event time corpus (256 news documents) with a reasonable Inter-Annotator Agreement (IAA), for the purpose of overcoming the data shortage of the existing event time corpus (36 news documents).

Multi-Label Classification

Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation

no code implementations23 Jan 2020 Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita

To this end, we propose to exploit monolingual corpora of other languages to complement the scarcity of monolingual corpora for the LOI.

Machine Translation Translation

Random Occlusion-recovery for Person Re-identification

no code implementations26 Sep 2018 Di Wu, Kun Zhang, Fei Cheng, Yang Zhao, Qi Liu, Chang-An Yuan, De-Shuang Huang

As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across different time with a single camera.

Person Re-Identification

Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths

no code implementations ACL 2017 Fei Cheng, Yusuke Miyao

In this work, we borrow a state-of-the-art method in relation extraction by adopting bidirectional long short-term memory (Bi-LSTM) along dependency paths (DP).

General Classification Question Answering +1

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