Robust Natural Language Analysis

نویسنده

  • Ralph Grishman
چکیده

Our basic goal is the development of more robust systems for extracting information from natural language text. A robust system is one which is able to extract at least partial information despite the presence of ill-formed or unexpected syntactic, semantic, or discourse structures. Our approach has two aspects: First, we incorporate a rich set of syntactic, semantic, and discourse constraints, so that one type of constraint can guide us to a correct analysis even if another type is violated. Second, we provide mechanisms for relaxing individual constraints, and for scoring alternative analyses, so that the analysis violating the fewest constraints (and therefore, presumably, the best analysis obtainable for a sentence) will be selected.

برای دانلود 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

Spoken Language Processing in the Hybrid Connectionist Architecture SCREEN

In this paper1 we describe a robust, learning approach to spoken language understanding. Since interactively spoken and computationally analyzed language often contains many errors, robust connectionist networks are used for providing a at screening analysis. A screening analysis is a shallow at analysis based on category sequences at various syntactic, semantic and dialog levels. Rather than u...

متن کامل

Parsing Formal Languages using Natural Language Parsing Techniques

Program analysis tools used in software maintenance must be robust and ought to be accurate. Many data-driven parsing approaches developed for natural languages are robust and have quite high accuracy when applied to parsing of software. We show this for the programming languages Java, C/C++, and Python. Further studies indicate that post-processing can almost completely remove the remaining er...

متن کامل

A robust optimization model for distribution and evacuation in the disaster response phase

Natural disasters, such as earthquakes, affect thousands of people and can cause enormous financial loss. Therefore, an efficient response immediately following a natural disaster is vital to minimize the aforementioned negative effects. This research paper presents a network design model for humanitarian logistics which will assist in location and allocation decisions for multiple disaster per...

متن کامل

The Stanford CoreNLP Natural Language Processing Toolkit

We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP community and also among commercial and government users of open source NLP technology. We suggest that this follows from a simple, approachable design, straightforward interfaces, the inclusion of robust...

متن کامل

Studies on Robust Language and Dialogue Processing for Spoken Dialogue Systems

In spoken dialogue systems, robust language processing for spontaneous speech understanding and robust dialogue processing for achieving user goal are inevitable. Previously, research of speech recognition and research of natural language understanding were done independently. At first glance, it seems to be no problem to combine these two technologies, because the purpose of speech recognition...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1989