Knowledge-based question answering using the semantic embedding space

Min-Chul Yang, Do-Gil Lee, So-Young Park, Hae-Chang Rim

Abstract: Highlights•We extract semantic links of words and logical properties from unstructured data.•We jointly encode semantics of words and logical properties into an embedding space.•Embedding space provides semantic similarities between word and logical properties.•Questions and potential answers can be represented on the embedding space.•Potential answers are ranked based on semantic similarities with a given question.