 To reduce the computational cost, the documents are typically truncated before given as inputs . As a result , the models may miss essential points conveyed in a document.
<clarity>  To reduce the computational cost, the documents are typically truncated before given as inputs . As a result , the models may miss essential points conveyed in a document.
 To reduce the computational cost, the documents are typically truncated before given as inputs to neural networks. Consequently , the models may miss essential points conveyed in a document.