Periodic Reporting for period 3 - DELPHI (Computing Answers to Complex Questions in Broad Domains)
Periodo di rendicontazione: 2022-04-01 al 2023-09-30
Moreover, the DELPHI project is centered around some of the most burning questions in natural langauge understanding. First, what is the right representation for performing reasoning and computation in language? How can we unify traditional symbolic representations with modern distributed representations to benefit from their respective advantages? Second, the DELPHI project advocates a compositional view of language, where the meaning of the whole is computed from its parts. Last, this project will further our understanding on topics related to generalization beyond the training distribution.
* We have defined a symbolic meaning representation for complex questions, which decomposes then to simpler questions. This has been shown to be useful for question answering and interpretability
* We have defined representations for questions that require implicit reasoning, that is, questions, where the reasoning process expressed, is not stated explicitly in the question
* We have developed parsers that can map natural language questions to these structured representations. These parsers are of high quality and have been used in subsequent papers as a component in more complex systems.
* We have developed methods for compositional generalization, that is, models that can generalize like humans to structures that were unseen at training time.
* We have developed models for reasoning over multiple modalities, including text, tables, and images.
* We have contributed numerous datasets and benchmarks for the community focusing on question decomposition, visual question answering, multi-modal question answering and more.