| Description: | This paper discusses LASSO, a tool for surfing the answer net. Abstract: This paper presents the architecture, operation and results obtained with the LASSO system developed in the Natural Language Processing Laboratory at SMU. The system relies on a combination of syntactic and semantic techniques, and lightweight abductive inference to find answers. The search for the answer is based on a novel form of indexing called paragraph indexing. A score of 55.5% for short answers and 64.5% for long answers was achieved. |
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| Creator(s): | |
| Creation Date: | November 1999 |
| Partner(s): |
UNT College of Engineering
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| Collection(s): |
UNT Scholarly Works
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| Usage: |
Total Uses: 20
Past 30 days: 0
Yesterday: 0
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| Creator (Author): |
Moldovan, Dan I.
Southern Methodist University |
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| Creator (Author): |
Harabagiu, Sanda M.
Southern Methodist University |
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| Creator (Author): |
Paşca, Marius. 1974-
Southern Methodist University |
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| Creator (Author): |
Mihalcea, Rada, 1974-
University of North Texas; Southern Methodist University |
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| Creator (Author): |
Goodrum, Richard A.
Southern Methodist University |
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| Creator (Author): |
Gîrju, Corina R.
Southern Methodist University |
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| Creator (Author): |
Rus, Vasile
Southern Methodist University |
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| Publisher Info: |
Publisher Name: National Institute of Standards and Technology (U.S.)
Place of Publication: [Gaithersburg, Maryland]
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| Original Creation Date: | November 1999 | |
| Description: | This paper discusses LASSO, a tool for surfing the answer net. Abstract: This paper presents the architecture, operation and results obtained with the LASSO system developed in the Natural Language Processing Laboratory at SMU. The system relies on a combination of syntactic and semantic techniques, and lightweight abductive inference to find answers. The search for the answer is based on a novel form of indexing called paragraph indexing. A score of 55.5% for short answers and 64.5% for long answers was achieved. |
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| Degree: |
Department:
Computer Science and Engineering
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| Physical Description: |
9 p. |
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| Subject(s): |
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| Keyword(s): | LASSO | natural language processing | information retrieval | paragraph indexing | |
| Source: | Eighth Text Retrieval Conference (TREC), 1999, Gaithersburg, Maryland, United States | |
| 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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