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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Extraction-Based Summarizers method performs Single Document Summaries material 13551.0
Extractive Approach method evaluatedIn Datasets material 22087.0
Extractive Approach method includes Start End Frame Predictors method 22087.0
Extractive Approach method uses Recurrent Networks otherentity 22087.0
Extractive Compression task trainedOn Supervised Dataset material 33696.0
Extractive DST Models method addresses Dialogue State Tracking task 26717.0
Extractive Document Summarization task explores Cross Sentence Relations otherentity 37427.0
Extractive Document Summarization task partOf Natural Language Processing otherentity 4694.0
Extractive Headline Generation method addresses Headline Generation task 5369.0
Extractive Headline Generation method appliesTo Community Question Answering otherentity 5369.0
Extractive Headline Generation method uses Learning to Rank method 5369.0
Extractive Meeting Summarization task comparesWith Human Transcripts material 23922.0
Extractive Meeting Summarization task improves Confusion Networks method 23922.0
Extractive Meeting Summarization task uses Speech Recognition Transcripts material 23922.0
Extractive Methods method addresses Multi Document Summarization task 4472.0
Extractive Model method creates Dense Vectors otherentity 42587.0
Extractive Models method leverages Elementary Discourse Unit material 33328.0
Extractive Multi Document Summarization task addresses Search Problem otherentity 44543.0
Extractive Multi Document Summarization task addresses Training Problem otherentity 44543.0
Extractive Multi Document Summarization task evaluatedBy Evaluation Metrics metric 44543.0