In the field of multi-document summarization, the Pyramid method has become an important approach for evaluating machine-generated summaries. The method is based on the manual ann...
Leonhard Hennig, Ernesto William De Luca, Sahin Al...
The main focus of this work is to investigate robust ways for generating summaries from summary representations without recurring to simple sentence extraction and aiming at more ...
Josef Steinberger, Marco Turchi, Mijail Alexandrov...
This paper presents a novel approach to automatic captioning of geo-tagged images by summarizing multiple webdocuments that contain information related to an image's location...
We propose new types of linguistic summaries of time-series data that extend those proposed in our previous papers. The proposed summaries of time series refer to the summaries of...
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over multip...
Generating query-biased summaries can take up a large part of the response time of interactive information retrieval (IIR) systems. This paper proposes to use document titles as a...
In this paper we report on the effectiveness of query-biased summaries for a question-answering task. Our summarisation system presents searchers with short summaries of documents...
Neill Alexander, Craig Brown, Joemon M. Jose, Ian ...
— The amount of data stored in data warehouses grows very quickly so that they can get saturated. To overcome this problem, we propose a language for specifying forgetting functi...
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
This research is directed towards automating the Web Site summarization task. To achieve this objective, an approach, which applies machine learning and natural language processing...
Yongzheng Zhang, A. Nur Zincir-Heywood, Evangelos ...