Natural language, knowledge representation, and logical form:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Rochester, NY
1991
|
| Schriftenreihe: | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report
367 |
| Schlagwörter: | |
| Abstract: | Abstract: "Current natural language understanding systems generally maintain a strict division between the parsing processes and the representation that supports general reasoning about the world. This paper examines why these two forms of processing are separated, determines the current advantages and limitations of this approach, and identifies the inherent limitations of the approach. I will point out some fundamental problems with the models as they are defined today and suggest some important directions of research in natural language and knowledge representation In particular, I will argue that one of the crucial issues facing future natural language systems is the development of knowledge representation formalisms that can effectively handle ambiguity. |
| Umfang: | 30 S. |
Internformat
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| 100 | 1 | |a Allen, James F. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Natural language, knowledge representation, and logical form |c James F. Allen |
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| 490 | 1 | |a University of Rochester <Rochester, NY> / Department of Computer Science: Technical report |v 367 | |
| 520 | 3 | |a Abstract: "Current natural language understanding systems generally maintain a strict division between the parsing processes and the representation that supports general reasoning about the world. This paper examines why these two forms of processing are separated, determines the current advantages and limitations of this approach, and identifies the inherent limitations of the approach. I will point out some fundamental problems with the models as they are defined today and suggest some important directions of research in natural language and knowledge representation | |
| 520 | 3 | |a In particular, I will argue that one of the crucial issues facing future natural language systems is the development of knowledge representation formalisms that can effectively handle ambiguity. | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Natural language processing (Computer science) | |
| 810 | 2 | |a Department of Computer Science: Technical report |t University of Rochester <Rochester, NY> |v 367 |w (DE-604)BV008902697 |9 367 | |
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| indexdate | 2024-12-20T09:29:46Z |
| institution | BVB |
| language | English |
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| physical | 30 S. |
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| publishDateSearch | 1991 |
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| series2 | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report |
| spelling | Allen, James F. Verfasser aut Natural language, knowledge representation, and logical form James F. Allen Rochester, NY 1991 30 S. txt rdacontent n rdamedia nc rdacarrier University of Rochester <Rochester, NY> / Department of Computer Science: Technical report 367 Abstract: "Current natural language understanding systems generally maintain a strict division between the parsing processes and the representation that supports general reasoning about the world. This paper examines why these two forms of processing are separated, determines the current advantages and limitations of this approach, and identifies the inherent limitations of the approach. I will point out some fundamental problems with the models as they are defined today and suggest some important directions of research in natural language and knowledge representation In particular, I will argue that one of the crucial issues facing future natural language systems is the development of knowledge representation formalisms that can effectively handle ambiguity. Künstliche Intelligenz Artificial intelligence Natural language processing (Computer science) Department of Computer Science: Technical report University of Rochester <Rochester, NY> 367 (DE-604)BV008902697 367 |
| spellingShingle | Allen, James F. Natural language, knowledge representation, and logical form Künstliche Intelligenz Artificial intelligence Natural language processing (Computer science) |
| title | Natural language, knowledge representation, and logical form |
| title_auth | Natural language, knowledge representation, and logical form |
| title_exact_search | Natural language, knowledge representation, and logical form |
| title_full | Natural language, knowledge representation, and logical form James F. Allen |
| title_fullStr | Natural language, knowledge representation, and logical form James F. Allen |
| title_full_unstemmed | Natural language, knowledge representation, and logical form James F. Allen |
| title_short | Natural language, knowledge representation, and logical form |
| title_sort | natural language knowledge representation and logical form |
| topic | Künstliche Intelligenz Artificial intelligence Natural language processing (Computer science) |
| topic_facet | Künstliche Intelligenz Artificial intelligence Natural language processing (Computer science) |
| volume_link | (DE-604)BV008902697 |
| work_keys_str_mv | AT allenjamesf naturallanguageknowledgerepresentationandlogicalform |