With alexafsm, developers can model dialog agents with first-class concepts such as states, attributes, transition, and actions. alexafsm also provides visualization and other tools to help understand, test, debug, and maintain complex FSM conversations. Learn more about alexafsm in this article.
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
This work explores the use of Markov Logic Networks (MLNs) for answering
elementary-level natural language science questions. The dataset contains the MLNs
generated from three different formulations along with a README describing the format.
Also see "Markov Logic Networks for Natural Language Question Answering" (StarAI '15) for a description of the formulations.