IBM Research AI and the University of Michigan are organizing a public competition to inspire and evaluate novel approaches that will lead to the next generation of AI-driven dialog systems.
A team of researchers from IBM Research AI and AI Horizons Network-partner the University of Michigan published the papers “A Large-Scale Corpus for Conversation Disentanglement” and “Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use” at ACL 2019. This work address two main challenges in building enterprise AI assistants.
IBM Research AI and IBM Watson worked together to develop a promising approach that achievies state-of-the-art performance on relation extraction. This work is being presented at ACL 2019.
The IBM Science Summarizer, or DimSum, as it was nicknamed by the team for its DIscovery augMented SUMmarization, is a service that tracks scientific papers being published in the area of AI. The service produces summaries of the papers focused around an information need expressed through natural language queries.
The latest work on computational argumentation from the IBM Project Debater research team group is being presented at the ACL 2019 conference. Three papers will be presented at the main conference and one more paper will be presented in the co-located Argument Mining Workshop.
IBM Fellow Salim Roukos provides some specifics on IBM Research’s enterprise NLP work by highlighting four papers IBM Research AI is presenting at the ACL 2019 conference.
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) takes place July 28 – August 2nd in Florence, Italy. There, IBM Research AI will present technical papers describing the latest results in our long-term push to help AI systems master language.
IBM announced the fourth, 2019 edition of the Science for Social Good program, designed to address social and humanitarian challenges with data and AI. Since the program launched in 2016, we have executed 28 projects with more than 110 volunteer researchers and 36 student fellows. We've also contributed 47 scientific papers.
Working with IBM Research, RPI has created a first-of-its-kind, six-week credit-bearing course in Mandarin taught in the school’s Cognitive and Immersive Systems Laboratory.
At CVPR 2019, IBM researchers introduce techniques to interpret visually descriptive language to generate compositional scene representations from textual descriptions.
At CVPR 2019, IBM researchers introduce an improved method to bridge the semantic gap between visual scenes and language to produce diverse, creative and human-like captions.