| tech,0-1-P05-1056,ak | Evaluation on the <term> ACE corpus </term> shows that effective incorporation of diverse <term> features </term> enables our system outperform previously best-reported systems on the 24 <term> ACE relation subtypes </term> and significantly outperforms <term> tree kernel-based systems </term> by over 20 in <term> F-measure </term> on the 5 <term> ACE relation types </term> . <term> Sentence boundary detection </term> in <term> speech </term> is important for enriching <term> speech recognition output </term> , making it easier for humans to read and downstream modules to process . | #9422 Evaluation on the ACE corpus shows that effective incorporation of diverse features enables our system outperform previously best-reported systems on the 24 ACE relation subtypes and significantly outperforms tree kernel-based systems by over 20 in F-measure on the 5 ACE relation types.Sentence boundary detection in speech is important for enriching speech recognition output, making it easier for humans to read and downstream modules to process. |
