3/3 The proposed presentations regarding Link Grammar (LG), unsupervised LG learning, interpretable NLG/NLS, and sentiment mining/topic matching cover various INLP methods that may bring a greater degree of GCI to proto-AGI pipelines.
Workshop:
🔗 https://aigents.github.io/inlp...
#AGI22
3/3 提出的关于链接语法 (LG)、无监督 LG 学习、可解释 NLG/NLS 和情感挖掘/主题匹配的演示文稿涵盖了可能为原型 AGI 管道带来更大程度的 GCI 的各种 INLP 方法。
作坊：
🔗 https://aigents.github.io/inlp...