Natural Language Processing
Much of the information that can help transform enterprises is locked away in text, like documents, tables, and charts. We’re building advanced AI systems that can parse vast bodies of text to help unlock that data, but also ones flexible enough to be applied to any language problem.
Our work
How Intel oneAPI tools are accelerating IBM's Watson Natural Language Processing Library
Technical noteStephanie Kuan, Deb Bharadwaj, Preethi Venkatesh, Shankar Ratneshwaran, and Waleed KhanWhat is prompt-tuning?
NewsKim MartineauIBM and NASA team up to spur new discoveries about our planet
NewsKim Martineau3 minute readDebugging foundation models for bias
ResearchKim MartineauImproving Watson NLP performance in IBM products through Intel optimizations
Technical noteStephanie Kuan and Waleed KhanTraining a customer service bot to sound more human
ResearchKim Martineau- See more of our work on Natural Language Processing
Publications
- Pin-Yu Chen
- Hung-yi Lee
- et al.
- 2023
- ICASSP 2023
- Edmilson Da Silva Morais
- Matheus Costa Damasceno
- et al.
- 2023
- ICASSP 2023
- Neel Bhandari
- Pin-Yu Chen
- 2023
- ICASSP 2023
- Basel Shbita
- Anna Lisa Gentile
- et al.
- 2023
- ESWC 2023
- Alisa Arno
- Futoshi Iwama
- et al.
- 2023
- ICSE 2023
- Matteo Manica
- Jannis Born
- et al.
- 2023
- npj Computational Materials
Tools + code
Transition-based AMR Parser
Transition-based parser for Abstract Meaning Representation (AMR) in Pytorch.
View project →sIB: sequential Information Bottleneck
Implementation of sequential Information Bottleneck (sIB) in Python and in C++
View project →Low-Resource Text Classification Framework
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.
View project →Project Debater for Academic Use
The technologies underlying Project Debater available as cloud services. Includes core natural language understanding capabilities, argument mining, and narrative generation.
View project →