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Structured Learning for Taxonomy Induction with Belief Propagation

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Figure

Figure 1: An excerpt of WordNet’s vertebrates taxonomy.1
Figure 2: Factor graph representation of our model, both without (a) and with (b) SIBLING factors.
Table 1: Main results on our general setup. On the devel-opment set, we present incremental results on the edges-onlymodel where we start with the chance baseline, then use sur-face features only, semantic features only, and both
Table 3: Examples of high-weighted hypernymy and sibling-hood features learned during development.

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