An Evaluation Of A Linguistically Motivated Conversational Software Agent Framework

An Evaluation of Linguistically-motivated Indexing Schemes

In this article, we describe a number of indexing experiments based on indexing terms other than simple keywords. These experiments were conducted as one step in validating a linguistically-motivated indexing model. The problem is important but not new. What is new in this approach is the variety of schemes evaluated. It is important since it should not only help to overcome the well-known prob...

A General Evaluation Framework for Text Based Conversational Agent

This paper details the development of a new evaluation framework for a text based Conversational Agent (CA). A CA is an intelligent system that handle spoken or/and text based conversations between machine and human. Generally, the lack of evaluation frameworks for CAs effects its development. The idea behind any system’s evaluation is to make sure about the system’s functionalities and to cont...

A Linguistically Motivated MT Evaluation System Based on SVM Regression

This paper describes the automatic MT evaluation system by Machine Intelligence and Translation Lab. of Harbin Institute of Technology, for NIST MetricsMATR 2008 evaluation. The system is based on SVM regression and employed many linguistic features. Machine-learning based automatic MT evaluation has recently gained more attention in NLP research. And feature mining is essential for ML. In this...

Aligning linguistically motivated phrases

In this paper, we describe the architecture of a sub-sentential alignment system that links linguistically motivated phrases in parallel texts. We conceive our sub-sentential aligner as a cascade model consisting of two phases. In the first phase, anchor chunks are linked on the basis of lexical correspondences and syntactic similarity. In the second phase, we will focus on the more complex tra...

Linguistically-motivated Information Retrieval