Enhancement of Search Results Using Dynamic Document Seed Reranking Algorithm

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Enhancement of Search Results Using Dynamic Document Seed Reranking Algorithm

We proposed an algorithm to improve the precision of top retrieved documents by reordering the retrieved documents in the initial retrieval. To re-order the documents, we first automatically extract key terms and key phrases from top N retrieved documents and generate a document index for each document. Using the standard similarity metrics, a document similarity matrix is generated for these d...

متن کامل

Stochastic reranking of biomedical search results based on extracted entities

Health-related information is nowadays accessible from many sources and is one of the most searched-for topics on the internet. However, existing search systems often fail to provide users with a good list of medical search results, especially for classic (keyword-based) queries. In this paper we elaborate on whether and how we can exploit biomedicine-related entities from the emerging Web of D...

متن کامل

A Search-Based Dynamic Reranking Model for Dependency Parsing

We propose a novel reranking method to extend a deterministic neural dependency parser. Different to conventional k-best reranking, the proposed model integrates search and learning by utilizing a dynamic action revising process, using the reranking model to guide modification for the base outputs and to rerank the candidates. The dynamic reranking model achieves an absolute 1.78% accuracy impr...

متن کامل

Image Search Reranking

The existing methods for image search re ranking suffer from the unfaithfulness of the assumptions under which the text-based images search result. The resulting images contain more irrelevant images. Hence the re ranking concept arises to re rank the retrieved images based on the text around the image and data of data of image and visual feature of image. A number of methods are differentiated...

متن کامل

Visualizing search results and document collections using topic maps

This paper explores visualizations of document collections, which we call topic maps. Our topic maps are based on a topic model of the document collection, where the topic model is used to determine the semantic content of each document. Using two collections of search results, we show how topic maps reveal the semantic structure of a collection and visually communicate the diversity of content...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Computer Science

سال: 2007

ISSN: 1549-3636

DOI: 10.3844/jcssp.2007.436.440