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The frame-based knowledge representation model adopted in IDHS (Intelligent Dictionary Help System) is described in this paper. ... It is used to represent the lexical knowledge acquired automatically from a conventional dictionary. ... This model has been used in an Intelligent Dictionary Help System to represent the lexical knowledge acquired automatically from a conventional dictionary. ...arXiv:cmp-lg/9501004v1 fatcat:uc6blq7i5ffdvpebhaddswiyqe
Proceedings of the 15th conference on Computational linguistics -
CONCLIISIONSo A frame-based kuowlcdge representation model has been described° This model has been m;ed in an Intelligent Dictionary llelll System to represent the lexical knowledge acquired automatically ... IDIIS is a dictionary help system iuteuded to assist a human user in hulguage comprehension or production tasks. ...doi:10.3115/991886.991981 fatcat:mpxwm23y5faerabyq2ygppbgwe
A frame-based knowledge representation model was described and used in the intelligent dictionary help system to represent the lexical knowledge acquired automatically from a conventional dictionary. ... INTRODUCTION The Intelligent Dictionary Help System (IDHS) is a monolingual (explanatory) dictionary system. ...doi:10.1017/s1351324997001356 fatcat:3hdub4627fegrkfey544c3ou2y
The concept of a machine-readable dictionary is clarified & its function as a kind of lexical knowledge data bank is noted. ... “intelligent” lexical component of a natural language processing (NLP) system are out- lined as follows: dynamic, cognitive, & relational dimensions. ...
For instance, an interactive dictionary—an intelligent thesaurus—would actively help a person to find and choose the right word in any context. ... Appendix: An Example Representation: The Error Cluster The following is the representation of the cluster of error nouns in our formalism. Tokens ending in -1 represent lexical items. ...
In Proceedings, SIGIR ‘89. Anick, P., and Pustejovsky, J. (1990). “An application of lexical semantics to knowledge acquisition from corpora.” ... “Lexical ambiguity and the role of knowledge representation in lexicon design.” In Proceedings, 13th International Conference of Computational Linguistics. Helsinki, Finland, August 1990. ...
2008 First International Conference on Distributed Framework and Applications
In the framework of meaning representation in Natural Language Processing (NLP), we aim to develop a system that can be used for heterogeneous applications such as Machine Translation, Information Retrieval ... or Lexical Access. ... We thank Dr Chan Huah Yong and his great team of researchers at the Grid Computing Laboratory, Universiti Sains Malaysia, for their permission and help in using their Grid facilities. ...doi:10.1109/icdfma.2008.4784421 fatcat:wz7nucjakjgjzhsl5hinlcqqsi
Frontiers in Artificial Intelligence and Applications
The main purpose of the intelligent question answering system based on the knowledge graph is to accurately match the natural language question and the triple information in the knowledge graph. ... In recent years, the lexical enhancement structure of word nodes combined with word nodes has been proved to be an effective method for Chinese named entity recognition. ... Conclusion Entity recognition is a difficulty in building an intelligent question answering system based on knowledge graph. The model proposed in this paper solves this problem well. ...doi:10.3233/faia210460 fatcat:vdhu3vyqzbhgngiuryagzof2vi
In particular, we believe that today's dictionaries in general, and with respect to Artificial Intelligence (AI) systems in particular, are unnatural in the sense that they do not encode pictures for words ... In situ, lexicons have been limited in their form and content. ... Integrated lexicons There has been much work in AI and in NLP on defining dictionaries for use in large intelligent systems. ...doi:10.1007/bf00159215 fatcat:i3lf4gggqbap7fnejj5glm7b7i
Learning variation in this way can result in greater naturalness for the synthetic speech that is produced by the system. ... The postlexical module has been trained on aligned dictionary pronunciations and hand-labeled narrow phonetic transcriptions. ... This is an area where domain knowledge, in this case linguistic, is critical. ...arXiv:cmp-lg/9711004v1 fatcat:ybkgh7otsvcghpbczx4677cdmy
Knowledge is often represented as a set of rules or a semantic network in intelligent systems. ... Recently, ontology has been widely used to represent semantic knowledge, because it organizes thesaurus and hierarchal information between concepts in a particular domain. ... Generally, semantic representation means that an object, phenomenon and a concept are presented in computing models for a semantic information process   . ...doi:10.3837/tiis.2011.10.001 fatcat:lytoindlp5evvcl2f4xlwsmtqm
called FunGramKB, an advanced multipurpose lexical conceptual knowledge base for natural language processing (NLP) systems (Periñán & Arcas, 2004 , 2005 , 2006 . ... Computer systems with surface semantics in their knowledge base have information about lexical relations which are established between lexical units. ...doi:10.7764/onomazein.31.9 fatcat:zflqfupbirf2fkft4xcybmge5i
Standardization of strong artificial intelligence and the use of ensembles of intelligent compatible diversified agents will help to find boundaries in which smart artificial intelligence will benefit ... artificial intelligence in virtual space. ... The dictionary helps to use words with its lexical meaning and distinguish between representatives whom they call on a symbolic level. ...doi:10.11648/j.ijiis.20200904.11 fatcat:ebhvei3nmrbq7lppnkcjksltsu
Lecture Notes in Computer Science
Knowledge representation systems should be designed so as to fit lexical data rather than the other way round. ... Lexical knowledge is knowledge that can be expressed in words. ... Introduction Many psychologists are quite content to declare that intelligence is what you measure by means of an intelligence test. ...doi:10.1007/3-540-55801-2_32 fatcat:d7uiw453izhivihoy3undw3qgm
In this paper I look at Natural Language Understanding, an area of Natural Language Processing aimed at making sense of text, through the lens of a visionary future: what do we expect a machine should ... Acknowledgments The author wishes to thank Michele Bevilacqua, Jim Mc-Manus and Federico Scozzafava for their invaluable help. ... Word Senses: Which Representation? Interestingly, the choice between an implicit or an explicit representation mostly concerns the lexical level. ...doi:10.24963/ijcai.2018/812 dblp:conf/ijcai/Navigli18 fatcat:2gjgf3ererhorioscxthpkfjdq
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