Pink et al., 2014 - Google Patents
Analysing recall loss in named entity slot fillingPink et al., 2014
View PDF- Document ID
- 10713173679698193527
- Author
- Pink G
- Nothman J
- Curran J
- Publication year
- Publication venue
- Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
External Links
Snippet
State-of-the-art fact extraction is heavily constrained by recall, as demonstrated by recent performance in TAC Slot Filling. We isolate this recall loss for NE slots by systematically analysing each stage of the slot filling pipeline as a filter over correct answers. Recall is …
- 238000000605 extraction 0 abstract description 24
Classifications
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- G06F17/30634—Querying
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