Novelty detection using local context analysis
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Combining named entities and tags for novel sentence detection
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Sentence-Level Novelty Detection in English and Malay
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Blended metrics for novel sentence mining
Expert Systems with Applications: An International Journal
Evaluation of novelty metrics for sentence-level novelty mining
Information Sciences: an International Journal
Detecting novel business blogs
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Multilingual novelty detection
Expert Systems with Applications: An International Journal
Database optimization for novelty mining of business blogs
Expert Systems with Applications: An International Journal
Adaptable Services for Novelty Mining
International Journal of Systems and Service-Oriented Engineering
Exploring the technical challenges of large-scale lifelogging
Proceedings of the 4th International SenseCam & Pervasive Imaging Conference
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Sentence level novelty detection aims at spotting sentences with novel information from an ordered sentence list. In the task, sentences appearing later in the list with no new meanings are eliminated. For the task of novelty detection, the contributions of this paper are three-fold. First, conceptually, this paper reveals the computational nature of the task currently overlooked by the Novelty community--Novelty as a combination of partial overlap (PO) and complete overlap (CO) relations between sentences. We define partial overlap between two sentences as a sharing of common facts, while complete overlap is when one sentence covers all of the meanings of the other sentence. Second, technically, a novel approach, the selected pool method is provided which follows naturally from the PO-CO computational structure. We provide formal error analysis for selected pool and methods based on this PO-CO framework. We address the question how accurate must the PO judgments be to outperform the baseline pool method. Third, experimentally, results were presented for all the three novelty datasets currently available. Results show that the selected pool is significantly better or no worse than the current methods, an indication that the term overlap criterion for the PO judgments could be adequately accurate.