37 citations · 64 across the 14 of their papers we have counts for
4 papers · 1 filter
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim
Sentence compression reduces the length of text by removing non-essential content while preserving important facts and grammaticality. Unsupervised objective driven methods for sen…
Examining the State-of-the-Art in News Timeline Summarization
Demian Gholipour Ghalandari, Georgiana Ifrim
Previous work on automatic news timeline summarization (TLS) leaves an unclear picture about how this task can generally be approached and how well it is currently solved. This is…
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham +2
Multi-document summarization (MDS) aims to compress the content in large document collections into short summaries and has important applications in story clustering for newsfeeds,…
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams
Bichen Shi, Thanh-Binh Le, Neil Hurley +1
Following a particular news story online is an important but difficult task, as the relevant information is often scattered across different domains/sources (e.g., news articles, b…