Jun Araki
Scholar

Jun Araki

Google Scholar ID: loUrssEAAAAJ
Bosch Research
Computational SemanticsInformation ExtractionQuestion AnsweringNatural Language ProcessingKnowledge Representation and R
Citations & Impact
All-time
Citations
3,062
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
46
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 1. 2024-06-27: Accepted an invitation to serve as a Senior Area Chair at ACL 2025.
  • 2. 2024-06-11: Accepted an invitation to serve as a Senior Program Committee Member (Meta-Reviewer) at AAAI 2025.
  • 3. 2023-10-09: Our paper on a dataset for hallucination detection was accepted to the Findings of EMNLP 2023.
  • 4. 2023-06-20: Accepted an invitation to serve as an Area Chair at EMNLP 2023.
  • 5. 2023-06-05: Accepted an invitation to serve as a Senior Program Committee Member (Meta-Reviewer) at AAAI 2024.
  • 6. 2023-05-03: Accepted an invitation to serve as an Area Chair at IJCNLP-AACL 2023.
  • 7. 2023-05-02: Our paper on a dataset for situated proactive response selection was accepted to ACL 2023.
  • 8. 2023-05-02: Our paper on co-augmentation with self-training and rule augmentation was accepted to the Findings of ACL 2023.
  • 9. 2023-02-12: Served as a Session Chair at two sessions in the technical program of AAAI 2023.
  • 10. 2023-01-24: Our paper on language model prompting in low-resource domains was accepted to EACL 2023.
Research Experience
  • Lead Scientist at Bosch Research, Sunnyvale, CA, USA.
Education
  • 1. Ph.D. in Language and Information Technology, Carnegie Mellon University, School of Computer Science, Language Technologies Institute, August 2012 to August 2018 (certified in July 2018). Thesis: Extraction of Event Structures from Text.
  • 2. M.S. in Computer Science, Stanford University, September 2009 to June 2011. Specialization: Artificial Intelligence.
  • 3. M.Eng. in Electronic Engineering, The University of Tokyo, April 2001 to March 2003. Thesis: Text Classification with a Polysemy Considered Feature Set.
  • 4. B.Eng. in Information and Communication Engineering, The University of Tokyo, April 1997 to March 2001.
Background
  • Works in the areas of natural language processing, machine learning, knowledge representation and reasoning. Specifically interested in information extraction, question answering, question generation, and knowledge base construction and utilization. Interested in theoretical foundations and practical algorithms to approach the meaning of natural language computationally.
Miscellany
  • Books in Computer Science; Writing in English