tailieunhanh - Báo cáo khoa học: "A CONNECTIONIST MODEL OF SOME ASPECTS OF ANAPHOR RESOLUTION"

This paper describes some r e c e n t d e v e l o p m e n t s i n language processing involving computational models which more closely resemble the brain in both structure and function. These models employ a large number of interconnected parallel computational units which communicate via weighted levels of excitation and inhibition. A specific model is described which uses this approach to process some fragments of connected discourse. | A CONNECTIONIST MODEL OF SOME ASPECTS OF ANAPHOR RESOLUTION Ronan G. Reilly Educational Research Centre St Patrick s College Drumcondra Dublin 9 Ireland ABSTRACT This paper describes some recent developments In language processing involving computational models which more closely resemble the brain In both structure and function. These models employ a large number of Interconnected parallel computational units which communicate via weighted levels of excitation and Inhibition. A specific model Is described which uses this approach to process some fragments of connected discourse. I CONNECTIONIST MODELS The human brain consists of about 100 000 million neuronal units with between a 1000 and 10 000 connections each. The two main classes of cells In the cortex are the striate and pyramidal cells. The pyramidal cells are generally large and heavily arborized. They are the main output cells of a region of cortex and they mediate connections between one region and the next. The striate cells are smaller and act more locally. The neural circuitry of the cortex is apart from some minor variations remarkably consistent. Its dominant characteristics are its parallelism Its large number processing units and the extensive Interconnection of these units. This Is a fundamentally different structure from the traditional von Neumann model. Those In favor of adopting a connectlonlst approach to modelling human cognition argue that the structure of the human nervous system Is so different from the structure Implicit In current informationprocessing models that the standard approach cannot ultimately be successful. They argue that even at an abstract level removed from immediate neural considerations the fundamental structure of the human nervous system has a pervasive effect. Connectlonist models form a class of spreading activation or active semantic network model. Each primitive computing unit In the network can be thought of as a stylized neuron. Its output Is a function of a .

TỪ KHÓA LIÊN QUAN
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.