Nouveau-ROUGE: A Novelty Metric for Update Summarization
نویسندگان
چکیده
An update summary should provide a fluent summarization of new information on a timeevolving topic, assuming that the reader has already reviewed older documents or summaries. In 2007 and 2008, an annual summarization evaluation included an update summarization task. Several participating systems produced update summaries indistinguishable from humangenerated summaries when measured using ROUGE. However, no machine system performed near human-level performance in manual evaluations such as pyramid and overall responsiveness scoring. We present a metric called Nouveau-ROUGE that improves correlation with manual evaluation metrics and can be used to predict both the pyramid score and overall responsiveness for update summaries. Nouveau-ROUGE can serve as a less expensive surrogate for manual evaluations when comparing existing systems and when developing new ones.
منابع مشابه
CLASSY 2009: Summarization and Metrics
This year the CLASSY team participated in the update summary task and made four submissions to summarization evaluation (AESOP). Our AESOP submissions used combinations of ROUGE scores along with an update (or newness) score. We also use these new metrics, which we call Nouveau ROUGE, to help train our system and evaluate new ideas on computing update summaries. CLASSY (Clustering, Linguistics,...
متن کاملImproving Update Summarization via Supervised ILP and Sentence Reranking
Integer Linear Programming (ILP) based summarization methods have been widely adopted recently because of their state-of-the-art performance. This paper proposes two new modifications in this framework for update summarization. Our key idea is to use discriminative models with a set of features to measure both the salience and the novelty of words and sentences. First, these features are used i...
متن کاملMulti-document Summarization Based on Atomic Semantic Events and Their Temporal Relationships
Automatic multi-document summarization (MDS) is the process of extracting the most important information such as events and entities from multiple natural language texts focused on the same topic. We extract all types of semantic atomic information and feed them to a topic model to experiment with their effects on a summary. We design a coherent summarization system by taking into account the s...
متن کاملDetecting Novelty in the context of Progressive Summarization
A Progressive summary helps a user to monitor changes in evolving news topics over a period of time. Detecting novel information is the essential part of progressive summarization that differentiates it from normal multi document summarization. In this work, we explore the possibility of detecting novelty at various stages of summarization. New scoring features, Re-ranking criterions and filter...
متن کاملEvolutionary Hierarchical Dirichlet Process for Timeline Summarization
Timeline summarization aims at generating concise summaries and giving readers a faster and better access to understand the evolution of news. It is a new challenge which combines salience ranking problem with novelty detection. Previous researches in this field seldom explore the evolutionary pattern of topics such as birth, splitting, merging, developing and death. In this paper, we develop a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Computational Linguistics
دوره 37 شماره
صفحات -
تاریخ انتشار 2011