Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Generic summaries for indexing in information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Using librarian techniques in automatic text summarization for information retrieval
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
A text categorization based on summarization technique
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
Multi-answer-focused multi-document summarization using a question-answering engine
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Automatic summarising: The state of the art
Information Processing and Management: an International Journal
QCS: A system for querying, clustering and summarizing documents
Information Processing and Management: an International Journal
A comparison of statistical significance tests for information retrieval evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Learning to extract and summarize hot item features from multiple auction web sites
Knowledge and Information Systems
Summarizing and referring: towards cohesive extracts
Proceedings of the eighth ACM symposium on Document engineering
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Using query reformulation and keywords in the geographic information retrieval task
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Summarizing textual information about locations in a geo-spatial information display system
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
Summarizing textual information about locations
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
International Journal of Intelligent Systems
GeoCLEF: the CLEF 2005 cross-language geographic information retrieval track overview
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Framework for abstractive summarization using text-to-text generation
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
One-class learning and concept summarization for data streams
Knowledge and Information Systems - Special Issue on Data Warehousing and Knowledge Discovery from Sensors and Streams
Summarisation through discourse structure
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
A concept-based information retrieval approach for engineering domain-specific technical documents
Advanced Engineering Informatics
SumCR: A new subtopic-based extractive approach for text summarization
Knowledge and Information Systems
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Hi-index | 12.05 |
Automatic Text Summarization has been shown to be useful for Natural Language Processing tasks such as Question Answering or Text Classification and other related fields of computer science such as Information Retrieval. Since Geographical Information Retrieval can be considered as an extension of the Information Retrieval field, the generation of summaries could be integrated into these systems by acting as an intermediate stage, with the purpose of reducing the document length. In this manner, the access time for information searching will be improved, while at the same time relevant documents will be also retrieved. Therefore, in this paper we propose the generation of two types of summaries (generic and geographical) applying several compression rates in order to evaluate their effectiveness in the Geographical Information Retrieval task. The evaluation has been carried out using GeoCLEF as evaluation framework and following an Information Retrieval perspective without considering the geo-reranking phase commonly used in these systems. Although single-document summarization has not performed well in general, the slight improvements obtained for some types of the proposed summaries, particularly for those based on geographical information, made us believe that the integration of Text Summarization with Geographical Information Retrieval may be beneficial, and consequently, the experimental set-up developed in this research work serves as a basis for further investigations in this field.