Comments (2)
TrainingHelper는 기본적으로 정답을 입력으로 받고, GreedyEmbeddingHelper는 매 스텝마다의 출력을 다음 스텝의 입력으로 사용합니다.
사용하신 데이터를 알지 못해서 자세한 답변은 어렵지만, 보여주신 결과로는 트레이닝이 아직 덜 된 것 같습니다.
혹시 현업에 적용하실 생각이시라면 seq2seq보다는 CRF 기반의 모델을 추천드립니다.
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