NLPExplorer

Eiji Aramaki

Number of Papers:- 44

Number of Citations:- 65

First ACL Paper:- 2000

Latest ACL Paper:- 2024

Venues:-

NAACL

CALD-pseudo

CL4Health

ClinicalNLP

BioNLP

IWSLT

ACL

MTSummit

C3NLP

*SEMEVAL

WNUT

IJCNLP

EMNLP

SocialNLP

WASSA

PACLIC

SMM4H

LREC

COLING

Co-Authors:-

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Semi-automatic Construction of a Word Complexity Lexicon for Japanese Medical Terminology ClinicalNLP WS

Generating Distributable Surrogate Corpus for Medical Multi-label Classification CL4Health WS

Seiji Shimizu | Shuntaro Yada | Shoko Wakamiya | Eiji Aramaki |

Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain CALD-pseudo WS

Loneliness Episodes: A Japanese Dataset for Loneliness Detection and Analysis WASSA WS

Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese SMM4H WS

Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP SMM4H WS

Estimation of Happiness Changes through Longitudinal Analysis of Employees’ Texts WASSA WS

Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text BioNLP WS

Seiji Shimizu | Shuntaro Yada | Lisa Raithel | Eiji Aramaki |

Synchronizing Approach in Designing Annotation Guidelines for Multilingual Datasets: A COVID-19 Case Study Using English and Japanese Tweets C3NLP WS

Kiki Ferawati | Wan Jou She | Shoko Wakamiya | Eiji Aramaki |

Comparative evaluation of boundary-relaxed annotation for Entity Linking performance ACL

Gabriel Herman Bernardim Andrade | Shuntaro Yada | Eiji Aramaki |

Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations ACL WASSA

JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation LREC

Annotation-Scheme Reconstruction for “Fake News” and Japanese Fake News Dataset LREC

End-to-end Biomedical Entity Linking with Span-based Dictionary Matching BioNLP NAACL

Mitigation of Diachronic Bias in Fake News Detection Dataset EMNLP WNUT

Taichi Murayama | Shoko Wakamiya | Eiji Aramaki |

Offensive Language Detection on Video Live Streaming Chat COLING

Zhiwei Gao | Shuntaro Yada | Shoko Wakamiya | Eiji Aramaki |

Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases LREC

Learning to Select, Track, and Generate for Data-to-Text ACL

J-MeDic: A Japanese Disease Name Dictionary based on Real Clinical Usage LREC

Multivariate Linear Regression of Symptoms-related Tweets for Infectious Gastroenteritis Scale Estimation WS

Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction COLING

Hayate ISO | Shoko WAKAMIYA | Eiji ARAMAKI |

MedNLPDoc: Japanese Shared Task for Clinical NLP ClinicalNLP WS

Eiji Aramaki | Yoshinobu Kano | Tomoko Ohkuma | Mizuki Morita |

Detecting Japanese Patients with Alzheimer’s Disease based on Word Category Frequencies ClinicalNLP WS

Daisaku Shibata | Shoko Wakamiya | Ayae Kinoshita | Eiji Aramaki |

Who caught a cold ? - Identifying the subject of a symptom ACL IJCNLP

Disease Event Detection based on Deep Modality Analysis ACL IJCNLP

Location Name Disambiguation Exploiting Spatial Proximity and Temporal Consistency SocialNLP WS

Word in a Dictionary is used by Numerous Users IJCNLP

The First Workshop on Natural Language Processing for Medical and Healthcare Fields WS

Eiji Aramaki | Mizuki Morita |

Incorporating Knowledge Resources to Enhance Medical Information Extraction WS

Clinical Vocabulary and Clinical Finding Concepts in Medical Literature WS

Takashi Okumura | Eiji Aramaki | Yuka Tateisi |

Proper and Efficient Treatment of Anaphora and Long-Distance Dependency in Context-Free Grammar: An Experiment with Medical Text WS

Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter EMNLP

Eiji ARAMAKI | Sachiko MASKAWA | Mizuki MORITA |

Adverse-Effect Relations Extraction from Massive Clinical Records WS

Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants PACLIC