We are pleased to announce that we will be supporting the 31st Annual Conference of the Language Processing Society (NLP2025) from March 10th to March 14th as a platinum sponsor
About the 31st Annual Conference of the Language Processing Society (NLP2025)
The 31st Annual Conference of the Language Processing Society will take place over five days, from Monday, March 10th to Friday, March 14th, 2025
The annual conference of the Language Processing Society of Japan is an opportunity for researchers, engineers, users, and companies in the natural language processing field to meet in Japan to present cutting-edge research results and exchange technology on an international level. APTO will be supporting the conference as a platinum sponsor.
Overview of the 31st Annual Conference of the Language Processing Society (NLP2025)
Event Name: The 31st Annual Conference of the Language Processing Society (NLP2025)
From: March 10th (Mon)
To: March 14th (Fri)
Format: Hybrid (in-person and online)
Sponsored by The Language Processing Society of Japan
Venue: Dejima Messe Nagasaki (Address: 4-1 Onoe-cho, Nagasaki City, Nagasaki Prefecture 850-0058)
About The Language Processing Society of Japan
The academic society was established on April 1, 1994 as a venue for the presentation of research results on language processing in Japan and as a venue for international research exchange. It became a general incorporated association on April 1, 2015, and has been designated as a cooperative academic research organization by the Science Council of Japan.
harBest and its involvement so far
APTO has worked with RIKEN to develop Japanese LLMs of the highest quality.
You can see an example of our collaboration here: https://apto.co.jp/en/case/1421/
Through this sponsorship, we hope to strengthen our collaboration with researchers, developers, and business partners, and we are aiming for further technological innovation and value creation.
Why harBest has been chosen to be involved
When developing AI, training data is essential. A complaint that is often heard is that using AI doesn’t lead to the expected accuracy or improved annotation products. harBest has gained support from many companies as Japan’s only annotation platform run by crowd workers. The reason for this is that it allows for efficient management and task division, and that it has a system in place that allows experienced cloud workers to respond quickly, making it possible to collect and create high-quality data quickly. The ability to obtain high-quality data while keeping costs down is particularly appealing to companies that are actively working on AI development/implementation and DX transformation.
