Multi-Document Summarization of Evaluative Text
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Summary
It is concluded that an effective method for summarizing evaluative arguments must effectively synthe-size the two approaches.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 227
- References
- 17
- OpenAlex
- https://openalex.org/W45569842
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:884798
Keywords
Automatic summarization, Computer science, Multi-document summarization, Information retrieval, Natural language processing
References
- Tracking and summarizing news on a daily basis with Columbia's Newsblaster
- Mining Opinion Features in Customer Reviews
- Detecting discrepancies in numeric estimates using multidocument hypertext summaries
- Generating and evaluating evaluative arguments
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Extracting Product Features and Opinions from Reviews
- Multi-document summarization by cluster/prole relevance and redundancy removal
- Mining and summarizing customer reviews
- Evaluation Challenges in Large-Scale Document Summarization
- Building Natural Language Generation Systems (Studies in Natural Language Processing)
- Building Natural-Language Generation Systems
- Multi-Document Biography Summarization
- Exploring Sentiment Summarization
- Experiments in Multidocument Summarization
Cited by
- Topic-Based Bengali Opinion Summarization
- Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews
- Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision
- Helpfulness-Guided Review Summarization
- A Qualitative Analysis of a Corpus of Opinion Summaries based on Aspects
- Multiple Aspect Ranking using Sentiment Classification
- Mining Subjective Data on the Web
- Sentiment analysis with limited training data
- Model for improving relevant Feature Extraction for Opinion Summarization
- A Survey on Aspect-based opinion polling from online (web) reviews
- Predicting and using social tags to improve the accuracy and transparency of recommender systems
- Opinion Summarization with Integer Linear Programming Formulation for Sentence Extraction and Ordering
- RESúMENES DE TExTOS: NUEVOS RETOS EN LA WEB 2.0* TExT SuMMARIES: NEW ChALLENgES IN WEb 2.0
- Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification
- A multimedia interface for facilitating comparisons of opinions
- Extracting knowledge from evaluative text
- CORPS: A Corpus of Tagged Political Speeches for Persuasive Communication Processing
- Learning Attitudes and Attributes from Multi-aspect Reviews
- Multi-document summarization of product reviews
- A query-based multi-document sentiment summarizer
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