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Papers
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries
ACL 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
ACL 2021
Semantic Similarity Based Evaluation for Abstractive News Summarization
ACL 2021
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
ACL 2020
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
EMNLP 2020
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
EMNLP 2020
NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg
ACL 2020
Conversation Initiation by Diverse News Contents Introduction
NAACL 2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
EMNLP 2019
Question Answering as an Automatic Evaluation Metric for News Article Summarization
NAACL 2019
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
NAACL 2018
Detecting (Un)Important Content for Single-Document News Summarization
EACL 2017
Scaling Submodular Maximization via Pruned Submodularity Graphs
AISTATS 2017
Using Relevant Public Posts to Enhance News Article Summarization
COLING 2016