TO
Filters: Department: "Kahlert School of Computing" Collection: "ir_uspace" Subject: "Weakly supervised"
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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Riloff, Ellen M. | Learning and evaluating the content and structure of a term taxonomy | In this paper, we describe a weakly supervised bootstrapping algorithm that reads Web texts and learns taxonomy terms. The bootstrapping algorithm starts with two seed words (a seed hypernym (Root concept) and a seed hyponym) that are inserted into a doubly anchored hyponym pattern. In alternatin... | Weakly supervised; Bootstrapping algorithm; Seed hypernym; Seed hyponym; Root concept; Term taxonomy; Learning by reading systems | 2009 |
| 2 |
 | Riloff, Ellen M. | Semantic class learning from the web with hyponym pattern linkage graphs | We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two properties associated with pattern-based extractions: popularity and productivity. Intuitively, a candidate is popular if ... | Weakly supervised; Semantic class learning; Hyponym pattern; Pattern-based extractions; Class name; Seed instance | 2008 |
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