| Description: | Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm relies on a frame dataset (FrameNet) and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level. |
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| Creator(s): | |
| Creation Date: | August 2004 |
| Partner(s): |
UNT College of Engineering
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| Collection(s): |
UNT Scholarly Works
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| Usage: |
Total Uses: 216
Past 30 days: 7
Yesterday: 0
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| Creator (Author): |
Shi, Lei
University of North Texas |
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| Creator (Author): |
Mihalcea, Rada
University of North Texas |
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| Original Creation Date: | August 2004 | |
| Description: | Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm relies on a frame dataset (FrameNet) and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level. |
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| Degree: |
Department:
Computer Science and Engineering
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| Physical Description: |
9 p. |
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| Keyword(s): | FrameNet | WordNet | syntactic parsing | natural language texts | |
| Source: | ROMAND Workshop on Robust Methods in Analysis of Natural Language Data, 2004, Geneva, Switzerland | |
| Contributor(s): |
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| Partner: |
UNT College of Engineering
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| Collection: |
UNT Scholarly Works
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| Identifier: |
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| Resource Type: | Paper | |
| Format: | Text | |
| Rights: |
Access:
Public
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