DOI:10.6129/CJP.201909_61(3).0004
Chinese Journal of Psychology 2019, Vol.61, No.3, 209-224
DeepLEX: Toward a Knowledge-yielding Approach and Resource for AI
Shu-Kai Hsieh（Graduate Institute of Linguistics, National Taiwan University）；Yu-Hsiang Tseng（Graduate Institute of Linguistics, National Taiwan University）
Abstract
Deep learning and neural network has gained substantial progress in recent years. After the introduction of word embeddings, a form of distributional vector semantics, computers could better simulate the lexical semantic relationships between words. However, the hierarchical nature of human language and concepts are still difficult to modeled by current approach. In computational linguistics, researchers developed lexical resources from different theoretical perspectives. These language resources attempt to bridge the gap between syntagmatic relationships, which computers can readily modeled from data, and paradigmatic knowledge, that are not readily grasped by computers. These knowledge are essential for the capability to reason in an unfamiliar context with only few data, and are also vital to develop empathy of human emotions. The commonality of these capabilities involves the high context variance, in which individual, social and cultural context intertwined, render a great challenge for computers to learn in a data-hungry way. Current study considers, as one would argue in computational functional linguistics, lexicon as an explicit knowledge base of human language. It is human annotation aided by automatic extraction the essential building block of strong artificial intelligence. Moreover, the knowledge stored in lexicon not only contains the pairing between forms and meanings, it should also address the fluidity of formulae and the dynamics between form-meaning pairings. The goal of current study is thus to integrate and develop a novel lexicon model called DeepLex that includes multilevel lexical properties, such as linguistic, psychological and pedagogical. A web-based tool is also developed to help users to freely determine and annotate formulae in Chinese. Further applications of DeepLex is also discussed.
Keywords: AI, computational lexicon, dialogue system, semantic representation
