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AVOIDING SUPPORTING EVIDENCE PROCESSING WHEN EVIDENCE SCORING DOES NOT AFFECT FINAL RANKING OF A CANDIDATE ANSWER
AVOIDING SUPPORTING EVIDENCE PROCESSING WHEN EVIDENCE SCORING DOES NOT AFFECT FINAL RANKING OF A CANDIDATE ANSWER
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机译:当证据评分不影响候选答案的最终排名时,避免支持证据处理
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摘要
Systems and computer program products to provide selective supporting evidence processing by applying a first machine learning (ML) model to a first candidate answer to generate a first confidence score that does not consider supporting evidence for the first candidate answer, determining, from a second ML model, an expected contribution of processing supporting evidence for the first candidate answer, and upon determining that the expected contribution does not exceed a specified threshold, skipping supporting evidence processing for the first candidate answer.
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