A fast partial parse of natural language sentences using a connectionist method

نویسندگان

  • Caroline Lyon
  • Bob Dickerson
چکیده

The pattern matching capabilities of neural networks can be used to loc ate syntactic constituents of natural lan guage This paper describes a fully auto mated hybrid system using neural nets operating within a grammatic frame work It addresses the representation of language for connectionist processing and describes methods of constraining the problem size The function of the network is brie y explained and results are given

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

Structure in Connectionist NLP

In order to be taken seriously, connectionist natural language processing systems must be able to parse syntactically complex sentences. Current connectionist parsers either ignore structure or impose prior restrictions on the structural complexity of the sentences they can process either number of phrases or the “depth” of the sentence structure. XERIC networks, presented here, are distributed...

متن کامل

A Connectionist Parser with Recursive Sentence Structure and Lexical Disambiguation

In order to be taken seriously, connectionist natural language processing systems must be able to parse syntactically complex sentences. Current connectionist parsers either ignore structure or impose prior restrictions on the structural complexity of the sentences they can process | either number of phrases or the \depth" of the sentence structure. XERIC networks, presented here, are distribut...

متن کامل

A fast partial parse of natural language

The pattern matching capabilities of neural networks can be used to locate syntactic constituents of natural language. This paper describes a fully automated hybrid system, using neural nets operating within a grammatic framework. It addresses the representation of language for connectionist processing, and describes methods of constraining the problem size. The function of the network is briee...

متن کامل

Enhancing First-Pass Attachment Prediction

This paper explores the convergence between cognitive modeling and engineering solutions to the parsing problem in NLP. Natural language presents many sources of ambiguity, and several theories of human parsing claim that ambiguity is resolved by using past (linguistic) experience. In this paper we analyze and refine a connectionist paradigm (Recursive Neural Networks) capable of processing acy...

متن کامل

LOGICON: A System for Extracting Semantic Structure using Partial Parsing

Partial parsing is an established NLP technique used to perform syntactic analysis without generating a full constituent parse tree. This paper presents LOGICON, an endto-end system using partial parsing, which assigns novel semantic structures to natural language text. Evaluating against a test set of 500 previously unseen sentences, the system has an accuracy of 62.4% as measured by exact mat...

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 1995