 To address these challenges , we propose SEG-Net, a neural keyphrase generation model that is composed of two major components, (1) a selector that selects the salient sentences in a document , and (2) an extractor-generator that jointly extracts and generates keyphrases from the selected sentences.
<fluency>  To address these challenges , we propose SEG-Net, a neural keyphrase generation model that is composed of two major components, (1) a selector that selects the salient sentences in a document , and (2) an extractor-generator that jointly extracts and generates keyphrases from the selected sentences.
 To address these challenges , we propose SEG-Net, a neural keyphrase generation model that is composed of two major components, (1) a selector that selects the salient sentences in a document and (2) an extractor-generator that jointly extracts and generates keyphrases from the selected sentences.