Hi, I wonder why LSTM or RNN based methods cannot tackle bag-level relation extraction? It seems like they can only tackle sentence-level relation classification, but I think CNN or LSTM is only the encoder of sentence to get representation. There is always a way to resemble them to get bag's representation. Thanks!
Hi, I wonder why LSTM or RNN based methods cannot tackle bag-level relation extraction? It seems like they can only tackle sentence-level relation classification, but I think CNN or LSTM is only the encoder of sentence to get representation. There is always a way to resemble them to get bag's representation. Thanks!