Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
ct 9 In this paper, a new novelty detection approach based on the identification of sentence level information patterns is 10 proposed. First, ``novelty'' is redefined ba...
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
The novelty track was first introduced in TREC 2002. Given a TREC topic and an ordered list of documents, systems must find the relevant and novel sentences that should be retur...