{"id":"W2963929190","doi":"10.18653/v1/k16-1028","title":"Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":2209,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Automatic summarization; Sequence (biology); Computer science; Natural language processing; Artificial intelligence; Information retrieval; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07923942989030704,"score_gpt":0.3157808564587726,"score_spread":0.2365414265684656,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}