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Customizing an Information Extraction System to a New Domain

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Figure 1: Sample sentence from the NFL domain. The domain contains entity mentions (underlined with entity typesin bold) and binary relations between entity mentions (indicated by arrows; relation types are italicized).
Table 2: Summary statistics of the NFL corpus, after ourconversion to binary relations.
Table 3: Baseline results: stock system without any domain customization. Correct/Predicted/Actual indicate the num-ber of mentions (entities or relations) that are correctly predicted/predicted/gold
Table 5: Performance after gazetteer-based features wereadded to the EMD model, and NFLTeam entity mentionswere extracted using the rule-based model rather thanclassification.
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