Statistical Language Models and Information Retrieval: natural language processing really meets retrieval

نویسنده

  • Franciska de Jong
چکیده

Traditionally, natural language processing techniques for information retrieval have always been studied outside the framework of formal models of information retrieval. In this article, we introduce a new formal model of information retrieval based on the application of statistical language models. Simple natural language processing techniques that are often used for information retrieval – we give an introductory overview of these techniques in Section 2 – can be modeled by the new language modeling approach.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Language Modeling Approaches to Information Retrieval

This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal ...

متن کامل

Improved Skips for Faster Postings List Intersection

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

متن کامل

Improved Skips for Faster Postings List Intersection

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

متن کامل

Statistical Identification of Collocations in Large Corpora for Information Retrieval

The linguistic phenomenon of collocation, the habitual juxtaposition of some words in natural language has been shown to benefit natural language processing tasks such as information retrieval. This paper examines the utility of several methods for collocation extraction for document retrieval, specifically for queries in question form.

متن کامل

NLP-SIR: A Natural Language Approach for Spreadsheet Information Retrieval

Spreadsheets are a ubiquitous software tool, used for a wide variety of tasks such as financial modelling, statistical analysis and inventory management. Extracting meaningful information from such data can be a difficult task, especially for novice users unfamiliar with the advanced data processing features of many spreadsheet applications. We believe that through the use of Natural Language P...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001