The 2023 Conference on Empirical Methods in Natural Language Processing
We look forward to this year's exciting sponsorship and exhibition opportunities, featuring a variety of ways to connect with participants in person. Sony will exhibit and participate as a Diamond sponsor.
Recruiting information for EMNLP-2023
We look forward to working with highly motivated individuals to fill the world with emotion and to pioneer future innovation through dreams and curiosity. With us, you will be welcomed onto diverse, innovative, and creative teams set out to inspire the world.
At this time, the full-time and internship roles previously listed on this page are closed.
Please see all other open positions through the links below.
NOTE: For those interested in Japan-based full-time and internship opportunities, please note the following points and benefits:
・Japanese language skills are NOT required, as your work will be conducted in English. ・Regarding Japan-based internships, please note that they are paid, and that we additionally cover round trip flights, visa expenses, commuting expenses, and accommodation expenses as part of our support package. ・Regarding Japan-based full-time roles, in addition to your compensation and benefits package, we cover your flight to Japan, shipment of your belongings to Japan, visa expenses, commuting expenses, and more!
Contributions to Research Challenges
Commonsense Persona-grounded Dialogue Challenge
This challenge is an opportunity for researchers and machine learning enthusiasts to test their skills on the challenging tasks of Commonsense Dialogue Response Generation (Task1) and Commonsense Persona Knowledge Linking (Task2) for persona-grounded dialogue. The competition aims to see the best approach among state-of-the-art participant models on an evaluation dataset of natural conversation. The submitted systems will be evaluated on a new Commonsense Persona-grounded Dialogue dataset. To this end, we first created several persona profiles with a natural personality based on a commonsense persona-grounded knowledge graph (PeaCoK) newly released on ACL 2023 and allowing us to obtain naturally related persona sentences. Furthermore, based on that persona, we created a natural dialogue between two people and prepared enough dialogue data for evaluation.
Technology 01Deep Generative Modeling and Vision-Language Pre-training
Technologies like generative AI have the potential to transform the lifestyle of consumers and the workflow of professional creators. Sony R&D is developing large-scale generative AI technologies for content generation and restoration, which we simply call Sony generative AI. Current Sony generative AI contains three categories: diffusion-based model, stochastic vector quantization technique, and visual-and-language pre-training. We expect Sony generative AI to become an integral part of the music, film, and gaming industries in the years to come. Knowing that we at Sony R&D have the unique opportunity to work directly with world-leading entertainment groups within these industries, we want to make the most of this possibility.
Demonstration of media generation and restoration available at: Creative AI
Technology 02[ACL2023 Outstanding Paper Award]
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
Generative systems, such as dialogue agents, story engines, or image generators will change the way humans interact with AI for creative purposes. For these systems to achieve their true potential, though, they must grasp the knowledge that grounds how humans understand the world around them. By understanding the way commonsense knowledge constrains humans’ perception of the world, AI agents will be able to support us in finding novel ways to violate these norms to generate creative outputs. Our work develops resources and algorithms to achieve this goal by teaching machines to (1) acquire and represent the commonsense knowledge underlying the world humans live in, (2) reason over this knowledge to understand situations the same way humans do, and (3) deviate from these knowledgeable and reasonable behaviors to produce sensible creative outputs. Our recent contribution is PeaCoK, a new large-scale persona commonsense knowledge graph containing ~100K human-validated persona facts. Our knowledge graph schematizes five dimensions of persona knowledge identified in previous studies of human interactive behaviors and distils facts in this schema from both existing commonsense knowledge graphs and large-scale pretrained language models.
People wish to talk freely with their favorite characters, create AI characters on their own and provide various services using AI characters. Sony is working on the character conversation AI technology to make these dreams come true. Interacting with characters in a more realistic way requires not just natural language processing technology for language understanding and generation but many other underlying technologies as well, including voice signal processing technology for voice recognition and speech synthesis and image processing technology for image recognition and graphic expression.Deliver exciting experiences by combining the technologies to turn creators’ imaginations into reality with the Sony Group’s entertainment prowess - that’s what we are developing the character conversation AI technology for. In the context of meeting this goal, we are proposing new values using this technology through open demonstration experiments and application development activities.
