Kathleen R McKeown
Biographic Data
| ID | 6113678 |
|---|---|
| NAME | Kathleen R McKeown |
| GIVEN NAMES | Kathleen R |
| FAMILY NAME | McKeown |
| SIGNATURE | MCKEOWN K R |
| AFFILIATIONS | Columbia University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1987 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 0 |
Sentence Fusion for Multidocument News Summarization
A system that can produce informative summaries, highlighting common information found in many online documents, will help Web users to pinpoint information that they need without extensive reading. In this article, we introduce sentence fusion, a novel text-to-text generation technique for synthesizing common information across documents. Sentence fusion involves bottom-up local multisequence alignment to identify phrases conveying similar infor…
Learning Methods to Combine Linguistic Indicators
Aspectual classification maps verbs to a small set of primitive categories in order to reason about time. This classification is necessary for interpreting temporal modifiers and assessing temporal relationships, and is therefore a required component for many natural language applications. A verb's aspectual category can be predicted by co-occurrence frequencies between the verb and certain linguistic modifiers. These frequency measures, called l…
Planning English Sentences
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Planning English Sentences
Learning Methods to Combine Linguistic Indicators
Aspectual classification maps verbs to a small set of primitive categories in order to reason about time. This classification is necessary for interpreting temporal modifiers and assessing temporal relationships, and is therefore a required component for many natural language applications. A verb's aspectual category can be predicted by co-occurrence frequencies between the verb and certain linguistic modifiers. These frequency measures, called l…
Sentence Fusion for Multidocument News Summarization
A system that can produce informative summaries, highlighting common information found in many online documents, will help Web users to pinpoint information that they need without extensive reading. In this article, we introduce sentence fusion, a novel text-to-text generation technique for synthesizing common information across documents. Sentence fusion involves bottom-up local multisequence alignment to identify phrases conveying similar infor…
Artificial Intelligence (3 works) · Computer Science (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Natural Language Processing Techniques (2 works) · Artificial Intelligence (1 work) · Automatic summarization (1 work) · Data Mining Algorithms and Applications (1 work) · Field (mathematics (1 work) · Information retrieval (1 work)