| other,9-1-P05-1056,ak | </term> is important for enriching <term> | speech recognition output | </term> , making it easier for humans to | #9431 Sentence boundary detection in speech is important for enriching speech recognition output , making it easier for humans to read and downstream modules to process. | |
| other,19-4-P05-1056,ak | <term> human transcriptions </term> and <term> | speech recognition output | </term> . In general , our <term> CRF model | #9529 We evaluate across two corpora (conversational telephone speech and broadcast news speech) on both human transcriptions and speech recognition output . | |
| tech,0-1-P05-1056,ak | 5 <term> ACE relation types </term> . <term> | Sentence boundary detection | </term> in <term> speech </term> is important | #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. |
