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20172022
most citedAutomated News Suggestions for Populating Wikipedia Entity Pages

24 citations · 28 across the 5 of their papers we have counts for

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cs.CL20224 cited

How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation

Julius Steen, Katja Markert

Automatically evaluating the coherence of summaries is of great significance both to enable cost-efficient summarizer evaluation and as a tool for improving coherence by selecting…

cs.CL2021

How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation

Julius Steen, Katja Markert

Manual evaluation is essential to judge progress on automatic text summarization. However, we conduct a survey on recent summarization system papers that reveals little agreement o…

cs.CL2020

Context in Informational Bias Detection

Esther van den Berg, Katja Markert

Informational bias is bias conveyed through sentences or clauses that provide tangential, speculative or background information that can sway readers' opinions towards entities. By…

cs.CL2020

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction

Raphael Schumann, Lili Mou, Yao Lu +2

Automatic sentence summarization produces a shorter version of a sentence, while preserving its most important information. A good summary is characterized by language fluency and…

cs.CL2018

A Temporally Sensitive Submodularity Framework for Timeline Summarization

Sebastian Martschat, Katja Markert

Timeline summarization (TLS) creates an overview of long-running events via dated daily summaries for the most important dates. TLS differs from standard multi-document summarizati…

cs.CL2017

Fine Grained Citation Span for References in Wikipedia

Besnik Fetahu, Katja Markert, Avishek Anand

\emph{Verifiability} is one of the core editing principles in Wikipedia, editors being encouraged to provide citations for the added content. For a Wikipedia article, determining t…