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ROUGE: A Package for Automatic Evaluation of Summaries
ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It includes measures to automatically determine the quality of a summary by comparing it to other (ideal) summaries created byExpand
Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
TLDR
We show that automatic evaluation using unigram co-occurrences between summary pairs correlates surprising well with human evaluations based on various statistical metrics; while direct application of the BLEU evaluation procedure does not always give good results. Expand
Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics
TLDR
We present two new objective automatic evaluation methods for machine translation. Expand
ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation
TLDR
We introduce a new evaluation method, Orange, for evaluating automatic machine translation evaluation metrics automatically without extra human involvement other than using a set of reference translations. Expand
Low-Quality Product Review Detection in Opinion Summarization
TLDR
This paper addresses the problem of detecting lowquality product reviews. Expand
Finding question-answer pairs from online forums
TLDR
Online forums contain a huge amount of valuable user generated content. Expand
The Automated Acquisition of Topic Signatures for Text Summarization
TLDR
We present a method for automatically training topic signatures-sets of related words, with associated weights, organized around head topics and illustrate with signatures we created with 6,194 TREC collection texts. Expand
COM: a generative model for group recommendation
TLDR
We propose a probabilistic model named COM (COnsensus Model) to model the generative process of group activities, and make group recommendations. Expand
Automated Text Summarization in SUMMARIST
TLDR
SUMMARIST is an attempt to create a robust automated text summarization system, based on the ‘equation’: summarization = topic identification + interpretation + generation. Expand
Overview of Opinion Analysis Pilot Task at NTCIR-6
TLDR
This paper describes an overview of the OpinionAnalysis Pilot Task from 2006 to 2007 at the Sixth NT-CIR Workshop. Expand
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