Standardization of Robot Instruction Elements Based on Conditional Random Fields and Word Embeddin  

作　　者：Hengsheng Wang Zhengang Zhang Jin Ren Tong Liu 

机构地区：[1]College of Mechanical & Electrical Engineering, Central South University, Changsha 410083, China [2]State Key Laboratory for High Performance Complex Manufacturing, Changsha 410083, China

出　　处：《Journal of Harbin Institute of Technology(New Series)》2019年第5期32-40,共9页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the Basic Research Development Program of China ( Grant No. 2013CB03554);the Fundamental Research Funds for Universities, Central South University (Grant No. 2017zzts394).

摘　　要：Natural language processing has got great progress recently. Controlling robots with spoken natural language has become expectable. With the reliability problem of this kind of control in mind a confirmation process of natural language instruction should be included before carried out by the robot autonomously and the prototype dialog system was designed thus the standardization problem was raised for the natural and understandable language interaction. In the application background of remotely navigating a mobile robot inside a building with Chinese natural spoken language considering that as an important navigation element in instructions a place name can be expressed with different lexical terms in spoken language this paper proposes a model for substituting different alternatives of a place name with a standard one (called standardization). First a CRF (Conditional Random Fields) model is trained to label the term required be standardized then a trained word embedding model is to represent lexical terms as digital vectors. In the vector space similarity of lexical terms is defined and used to find out the most similar one to the term picked out to be standardized. Experiments show that the method proposed works well and the dialog system responses to confirm the instructions are natural and understandable.

关 键 词：WORD embedding Conditional Random Fields ( CRFs ) STANDARDIZATION interaction Chinese NATURAL Spoken LANGUAGE (CNSL) NATURAL LANGUAGE Processing (NLP) human-robot 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]