NIL-UCM: Most-Frequent-Value-First Attribute Selection and Best-Scoring-Choice Realization

نویسندگان

  • Pablo Gervás
  • Raquel Hervás
  • Carlos León
چکیده

The NIL entry for the challenge has been constructed upon the general architecture for developing Natural Language Generation systems provided by the TAP project (Gervás, 2007). TAP (Text Arranging Pipeline) is a set of interfaces that define generic functionality for a pipeline of tasks oriented toward natural language generation, from an initial conceptual input to surface realization as a string, with intervening stages of content planning and sentence planning.

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

Evolutionary and Case-Based Approaches to REG: NIL-UCM-EvoTAP, NIL-UCM-ValuesCBR and NIL-UCM-EvoCBR

We propose the use of evolutionary algorithms (EAs) (Holland, 1992) to deal with the attribute selection task of referring expression generation. Evolutionary algorithms operate over a population of individuals (possible solutions for a problem) that evolve according to selection rules and genetic operators. The fitness function is a metric that evaluates each of the possible solutions, ensurin...

متن کامل

A simple approach to multiple attribute decision making using loss functions

Multiple attribute decision making (MADM) methods are very much essential in all fields of engineering, management and other areas where limited alternatives exist and the decision maker has to select the best alternative. Different methods are available in the literature to tackle the MADM problems. The MADM problems are classified as scoring methods, compromising methods and concordance metho...

متن کامل

Referring Expression Generation Using Speaker-based Attribute Selection and Trainable Realization (ATTR)

In the first REG competition, researchers proposed several general-purpose algorithms for attribute selection for referring expression generation. However, most of this work did not take into account: a) stylistic differences between speakers; or b) trainable surface realization approaches that combine semantic and word order information. In this paper we describe and evaluate several end-to-en...

متن کامل

The Importance of Discourse Context for Statistical Natural Language Generation

Surface realization in statistical natural language generation is based on the idea that when there are many ways to say the same thing, the most frequent option based on corpus counts is the best. Based on data from English and Finnish, we argue instead that all options are not equivalent, and the most frequent one can be unacceptable in some contexts. A statistical NLG system where word order...

متن کامل

UCM Submission to the Surface Realization Challenge

This document describes the surface realization solution submitted by UCM to the Surface Realization Challenge. The UCM submission operates over the shallow representation of the challenge input. This submission to the surface realization challenge relies on an old-fashioned surface realizer based on unification with a grammar. Because this surface realizer requires fully specified inputs, a co...

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 2008