The Use of MMR and Diversity-Based Reranking for Reodering Documents and Producing Summaries

Summarization: (1) Using MMR for Diversity- Based Reranking and (2) Evaluating Summaries

This paper 1 develops a method for combining queryrelevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in reranking retrieved documents and in selecting appropriate passages for text summarization. Preliminary results indicate some benefits for MMR dive...

The Use of MMR , Diversity - Based Reranking for ReorderingDocuments and Producing

A Qualitative Assessment of the Evidence Utilization for Health Policy-Making on the Basis of SUPPORT Tools in a Developing Country

Background SUPPORT tools consist of 18 articles addressing the health policy-makers so that they can learn how to make evidence-informed health policies. These tools have been particularly recommended for developing countries. The present study tries to explain the process of evidence utilization for developing policy documents in the Iranian Ministry of Health and Medical Education (MoHME) and...

Multi-Document Summarization via Discriminative Summary Reranking

Existing multi-document summarization systems usually rely on a specific summarization model (i.e., a summarization method with a specific parameter setting) to extract summaries for different document sets with different topics. However, according to our quantitative analysis, none of the existing summarization models can always produce high-quality summaries for different document sets, and e...

Arabic News Articles Classification Using Vectorized-Cosine Based on Seed Documents

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...