Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models
- Hiroshi Kanayama
- Yang Zhao
- et al.
- 2024
- ACL 2024
Bio
Ran Iwamoto is a researcher of Knowledge Infrastructure Group in IBM Research - Tokyo since 2022 after receiving a Master's Degree in 2021.
She works on natural language processing, mainly multilingual NLP.
Publications
Automatic Manipulation of Training Corpora to Make Parsers Accept Real-world Text
- 2024
- LREC-COLING 2024
Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting
- Ran Iwamoto
- Issei Yoshida
- et al.
- 2023
- EMNLP 2023
Extracting Verb Sense Hierarchies from FrameNet
- Ran Iwamoto
- Kyoko Ohara
- 2023
- ICLC 2023
A Universal Dependencies Corpora Maintenance Methodology Using Downstream Application
- Ran Iwamoto
- Hiroshi Kanayama
- et al.
- 2021
- NAACL 2021
How universal are universal dependencies? Exploiting syntax for multilingual clause-level sentiment detection
- Hiroshi Kanayama
- Ran Iwamoto
- 2020
- LREC 2020
Projects
Top collaborators
HK
Hiroshi Kanayama
Senior Technical Staff Member, Knowledge Infrastructure, AI Technologies, IBM Research - Tokyo
MM
Masayasu Muraoka
Researcher
CM
Kohtaroh (Cole) Miyamoto
Research Staff Member
AR
Alexandre Rademaker
Senior Research Scientist