Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition
AI '98 Proceedings of the 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Text processing without a priori domain knowledge: semi-automatic linguistic analysis for incremental knowledge acquisition
Semi-automatic recognition of noun modifier relationships
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Évaluation d'un Système pour le Résumé Automatique de Documents Électroniques
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Augmenting conversational dialogue by means of latent semantic googling
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Key phrase extraction: a hybrid assignment and extraction approach
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
SemEval-2010 task 5: Automatic keyphrase extraction from scientific articles
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
DERIUNLP: A context based approach to automatic keyphrase extraction
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
BUAP: An unsupervised approach to automatic keyphrase extraction from scientific articles
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
UNPMC: Naïve approach to extract keyphrases from scientific articles
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
UvT: The UvT term extraction system in the keyphrase extraction task
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Evaluating N-gram based evaluation metrics for automatic keyphrase extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Capacity-constrained query formulation
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Introducing the user-over-ranking hypothesis
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Phrases as subtopical concepts in scholarly text
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Topical keyphrase extraction from Twitter
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Applying the user-over-ranking hypothesis to query formulation
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Keyword extraction based on sequential pattern mining
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Candidate document retrieval for web-scale text reuse detection
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Beyond precision@10: clustering the long tail of web search results
Proceedings of the 20th ACM international conference on Information and knowledge management
Automatic keyphrases extraction from document using neural network
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Ensemble learning for keyphrases extraction from scientific document
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A semi-supervised approach for key-synset extraction to be used in word sense disambiguation
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
The optimum clustering framework: implementing the cluster hypothesis
Information Retrieval
“Without the clutter of unimportant words”: Descriptive keyphrases for text visualization
ACM Transactions on Computer-Human Interaction (TOCHI)
An iterative approach to keywords extraction
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Keyphrase extraction through query performance prediction
Journal of Information Science
Heuristics- and statistics-based wikification
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Proactive search enabled context-sensitive knowledge supply situated in computer-aided engineering
Advanced Engineering Informatics
A phrase mining framework for recursive construction of a topical hierarchy
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic keyphrase annotation of scientific documents using Wikipedia and genetic algorithms
Journal of Information Science
Automatic keyphrase extraction from scientific articles
Language Resources and Evaluation
Contextual keyword extraction by building sentences with crowdsourcing
Multimedia Tools and Applications
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Automatically extracting keyphrases from documents is a task with many applications in information retrieval and natural language processing. Document retrieval can be biased towards documents containing relevant keyphrases; documents can be classified or categorized based on their keyphrases; automatic text summarization may extract sentences with high keyphrase scores. This paper describes a simple system for choosing noun phrases from a document as keyphrases. A noun phrase is chosen based on its length, its frequency and the frequency of its head noun. Noun phrases are extracted from a text using a base noun phrase skimmer and an off-the-shelf online dictionary. Experiments involving human judges reveal several interesting results: the simple noun phrase-based system performs roughly as well as a state-of-the-art, corpus-trained keyphrase extractor; ratings for individual keyphrases do not necessarily correlate with ratings for sets of keyphrases for a document; agreement among unbiased judges on the keyphrase rating task is poor.