In this paper, we present kogito, an open-source tool for generating commonsense inferences about situations described in text. kogito provides an intuitive and extensible interface to interact with natural language generation models that can be used for hypothesizing commonsense knowledge inference from a textual input. In particular, kogito offers several features for targeted, multi-granularity knowledge generation. These include a standardized API for training and evaluating knowledge models, and generating and filtering inferences from them. We also include helper functions for converting natural language texts into a format ingestible by knowledge models - intermediate pipeline stages such as knowledge head extraction from text, heuristic and model-based knowledge head-relation matching, and an ability to define and use custom knowledge relations. We make the code for kogito available at https://github.com/epfl-nlp/kogito along with thorough documentation at https://kogito.readthedocs.io.

本文介绍了 kogito 工具，该工具是一个开源工具，用于生成关于文本中描述的情境的常识推理。kogito 提供了一个直观且可扩展的界面，与自然语言生成模型进行交互，可用于从文本输入中假设常识知识推理，具有多粒度知识生成的多重特性。

kogito: 常识知识推理工具包