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...object can have a '''nodealiases''' field which is an object mapping from symbolic names to numeric ids.

...an-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches

...Representation (AMR) structures. The system, written in SWI-Prolog, uses a symbolic approach to transform the original rooted graph into a tree of constituents

*For significant contributions to symbolic-statistical methods for natural language processing, multilinguality, and t

...ersity ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.01 Symbolic Computational Linguistics ] ||Both || Prolog ||2003

*[http://symsys.stanford.edu/ Stanford University - Symbolic Systems]

...ources, and (ii) to exploit these embeddings for improving statistical and symbolic inference from imperfect data. More information about FLEXILOG can be found ...relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful infere

...ting that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that * general-purpose software to support symbolic-level computation over gradient symbol structures

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The res

...y-augmented language models, Language & vision, Neuro symbolic approaches, symbolic knowledge extraction from pretrained models, etc. ...AI applicants''' focused on use-inspired research, human-AI teaming, neuro-symbolic methods, and human language technologies; and

integrating statistical and symbolic techniques have opened up