نتایج جستجو برای: three heuristics named cluster
تعداد نتایج: 1529023 فیلتر نتایج به سال:
Background The technique of automatic text summarization has been developed for many years (Luhn 1959, Edmundson 1969 and Salton 1989). One way to do text summarization is by text extraction, which means to extract pieces of an original text on a statistical basis or with heuristic methods and put them together to a new shorter text with as much information as possible preserved (Mani & Maybury...
Named entity tagging comprises the sub-tasks of identifying a text span and classifying it, but this view ignores the relationship between the entities and the world. Spatial and temporal entities ground events in space-time, and this relationship is vital for applications such as question answering and event tracking. There is much recent work regarding the temporal dimension [13, 10], but no ...
We describe and compare methods developed for the BioCreative IV chemical compound and drug name recognition (CHEMDNER) task. The presented conditional random fields (CRF)-based named entity recogniser employs a statistical model trained on domain-specific features, in addition to those typically used in biomedical NERs. In order to increase recall, two heuristics-based post-processing steps we...
to evaluate the genetic diversity, four wild wheat species named t. boeticum, t. thaudar, t. urartu, t. arrarticum were studied. quantitative traits were measured according to ibpgri. analysis of variance showed significant difference for all landraces. result of pearson correlation analysis showed positive and negative significant correlations between some of the traits. in principle component...
The Tanl tagger is a configurable tagger based on a Maximum Entropy classifier, which uses dynamic programming to select the best sequences of tags. We applied it to the NER tagging task, customizing the set of features to use, and including features deriving from dictionaries extracted from the training corpus. The final accuracy of the tagger is further improved by applying simple heuristic r...
[1] corresponding author e-mail: [email protected] [1] corresponding author e-mail: [email protected] lot-sizing problems (lsps) belong to the class of production planning problems in which the availability quantities of the production plan are always considered as a decision variable. this paper aims at developing a new mathematical model for the multi-level capacitated lsp w...
The goal in the named entity recognition task is to classify proper nouns of a piece of text into classes such as person, location, and organization. Named entity recognition is an important preprocessing step in many natural language processing tasks such as question-answering and summarization. Although many research studies have been conducted in this area in English and the state-of-the-art...
Almost complete (> 96%) 16S rRNA sequences from nine ruminant mycoplasmas have been determined by solid-phase DNA sequencing. Polymorphisms were found in four of the 16S rRNA sequences, which indicated the existence of two different rRNA operons. Seven polymorphisms were found in Mycoplasma agalatiae, three were found in Mycoplasma bovis, one was found in Mycoplasma alkalescens, and one was fou...
Memory is arguably the most important function of cognition. When left undetected, memory impairments are linked to life long underachievement and negative social consequences. Given that the construct of memory is multidimensional, the current study examined patterns of multiple indicators associated with memory across individuals ranging in age from 5 to 85 years who had been administered the...
Frey and Dueck (Reports, 16 February 2007, p. 972) described an algorithm termed "affinity propagation" (AP) as a promising alternative to traditional data clustering procedures. We demonstrate that a well-established heuristic for the p-median problem often obtains clustering solutions with lower error than AP and produces these solutions in comparable computation time.
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