Sciweavers

    151 search results - page 1 / 31
    » Structured Training for Neural Network Transition-Based Pars...
    Sort
    View
    AAAI
    1994
    146views Intelligent Agents» more  AAAI 1994»
    Parsing Embedded Clauses with Distributed Neural Networks
    13 years 6 months ago
    Parsing Embedded Clauses with Distributed Neural Networks
    Download  www.aaai.org
    A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
    Risto Miikkulainen, Dennis Bijwaard
    claim paper
    Read More »
    COLING
    1996
    92views Computational Linguistics» more  COLING 1996»
    FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
    13 years 6 months ago
    FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
    Download  acl.ldc.upenn.edu
    We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
    Finn Dag Buø, Alex Waibel
    claim paper
    Read More »
    AI
    2002
    Springer
    144views Artificial Intelligence» more  AI 2002»
    A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
    13 years 4 months ago
    A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
    Download  www.cs.umanitoba.ca
    The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
    Christel Kemke
    claim paper
    Read More »
    EACL
    2003
    ACL Anthology
    104views Natural Language Processing» more  EACL 2003»
    Neural Network Probability Estimation for Broad Coverage Parsing
    13 years 6 months ago
    Neural Network Probability Estimation for Broad Coverage Parsing
    Download  homepages.inf.ed.ac.uk
    We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
    James Henderson
    claim paper
    Read More »
    IJCNN
    2006
    IEEE
    102views Neural Networks» more  IJCNN 2006»
    Effective Training Methods for Function Localization Neural Networks
    13 years 11 months ago
    Effective Training Methods for Function Localization Neural Networks
    Download  www.hflab.ips.waseda.ac.jp
    — Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
    Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.