Knowledge Representation And Knowledge Of Words
نویسنده
چکیده
This paper surveys some opportunities for cooperative research between linguists and computer scientists in lexical semantics. There are exciting possibilities and challenging problems. 1. I n t r o d u c t i o n I will try in this short paper to present some general thoughts on knowledge representation and word meaning for the June, 1991 SmLEX Workshop on Lexical Semantics and Knowledge Representation. I believe that the topic of this workshop is very timely, and as important and strategic as any in the cognitive sciences. That is the good news. The bad news is that it is very hard to feel confident about this topic, since progress in this area will have to overcome fundamental limitations of several of the sciences that are most closely involved: artificial intelligence, linguistics, and logic. The right emotions should be a combination of excitement and fear, or at least caution. Difficult problems don't have quick and easy solutions. I don't promise to say anything that will really make a substantive contribution to the research problems. But I will try to explain why I believe the problems are hard and to provide some perspectives on the new area that is emerging here. This paper was written under time pressure. I received the abstracts of the papers that were accepted for the conference only a short time ago. This has made it possible (I hope) to make the paper relevant, but has not allowed much time for scholarship. I hope to prepare an enlarged version of the paper after the workshop, that will try to provide adequate references to the workshop papers, and to the rest of the literature.
منابع مشابه
Neuron Mathematical Model Representation of Neural Tensor Network for RDF Knowledge Base Completion
In this paper, a state-of-the-art neuron mathematical model of neural tensor network (NTN) is proposed to RDF knowledge base completion problem. One of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. For this reason, a new representation of this network is suggested that solves this difficulty. In the representation, th...
متن کاملOrganization of Gatekeeping and Mental Framework in the System of Representation and Hierarchical Relational Structures of the Modern Society
Critical discourse analysis as a type of social practice reveals how linguistic choices enable speakers to manipulate the realizations of agency and power in the representation of action.The present study examines the relationship between language and ideology and explores how such a relationship is represented in the analysis of spoken text and to show how declarative knowledge, beliefs, attit...
متن کاملPredicting Student Performance in Verbal Math Problems Based on Cognitive, Metacognitive, and Affective Factors
Predicting Student Performance in Verbal Math Problems Based on Cognitive, Metacognitive, and Affective Factors F. Karimi, Ph.D. A.R. Moraadi, Ph.D. P. Kadivar, Ph.D. R. Kormi Noori, Ph.D. To determine the predictive role of metacognitive, cognitive, and affective factors in solving verbal math problems, a cluster sample of 450 junior high school students was given ...
متن کاملConsidering Uncertainty in Modeling Historical Knowledge
Simplifying and structuring qualitatively complex knowledge, quantifying it in a certain way to make it reusable and easily accessible are all aspects that are not new to historians. Computer science is currently approaching a solution to some of these problems, or at least making it easier to work with historical data. In this paper, we propose a historical knowledge representation model takin...
متن کاملHierarchical Functional Concepts for Knowledge Transfer among Reinforcement Learning Agents
This article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for Reinforcement Learning agents. These definitions are used as a tool of knowledge transfer among agents. The agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. In other words, the agents are assumed t...
متن کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1991