What’s in a name? by Mooney, E

Collective effect of self-learning and social learning on language dynamics: a naming game approach in social networks by Wen, T, Chen, Y-W, Lambiotte, R

“…However, there are always irregular exceptions to regular rules, with one of the most notable being the past tense of verbs in English. In this work, a naming game approach is developed to investigate the collective effect of social behaviours on language dynamics, which encompasses social learning, self-learning with preference and forgetting due to memory constraints. …”

Significance of process exhaust system on wafer fab operation and its performance improvement by Vedachalam Natanasabapathy

“…This huge volume of air is known throughout the industry as "makeup air", a name derived from the need to replace both clean and contaminated air removed by the exhaust system and maintain the clean room pressure at a positive pressure (in Pascal) more than the atmosphere so that contamination ingress into the clean room is avoided. …”
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Ambiguity in absurdity : Gogol's the nose and the overcoat. by Yixin, Huang.

“…When one thinks of Russian literature, names such as Fyodor Dostoevsky, Alexander Pushkin, and Vladimir Nabokov come to mind. A name which deserves to be added to the list but is often denied equal credit is Nikolai Gogol. …”
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New hope group : the growth of a Chinese giant. by Leow, Kar Gea., Lim, Nigel Cyril Wing Yeung., Yeo, Shao Wei.

“…Having taken advantage of the Chinese economic reforms in 1978, many Chinese private enterprises sought to make a name for themselves in the Chinese economy. However, from among these numerous private enterprises, only a small handful of them attained success. …”
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You look familiar … but what’s your name? Word learning in Singaporean older adults by Tan, Justina Yu Han

“…This study compares word learning in bilingual Singaporean older adults and younger adults, investigating the role of referent familiarity in a name-learning task with pseudo words. A familiarization task was also introduced to facilitate recognition of an unknown face. …”
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Preschoolers fast map and retain artifact functions as efficiently as artifact names, but artifact actions are the most easily learned by Holland, Amanda, Hyde, Grace, Riggs, Kevin J., Simpson, Andrew

“…In contrast, their performance on a name production task immediately after exposure was poor. …”
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Nicknames in early medieval England: a socio-onomastic study of agnomina before the twelfth century by Alphey, TK

“…If we can begin to overcome these challenges through two approaches – comparison with broader lexical corpora and reading the context in which a name appears – a degree of ambiguity persists. We must not baulk from this ambiguity: this is an inherent feature of <em>agnomina</em>, and there is substantial evidence to suggest that the people of early medieval England also found the ‘meaning’ of a number of names ambiguous.…”

君绍的散文研究 ：本土的观察、记忆与反思 = A study of Jun Shao’s prose: local observation, memory and reflection by 陈姿潔 Tan, Zi Jie

“…Jun Shao often drew his inspirations from the nature, and with his keen observations and profound knowledge in botany, he had made a name for himself with his extraordinary depiction of nature through his writings. …”
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Tracing where and who provenance in Linked Data: A calculus by Dezani-Ciancaglini, Mariangiola, Horne, Ross, Sassone, Vladimiro

“…The simplest notion of provenance–viz., a named graph indicating where the data is now–is extended with a richer provenance format. …”
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Converting a text mining system into a UIMA framework by Choo, Zhen Ying.

“…These parts include converting a Named Entity Recognition (NER) module and parsing the input sentences to obtain their semantic structures, as well as a Pattern Matching module to identify the relations between the named entities. …”
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Let's move with Leon: a qualitative evaluation of a UK digital intervention to improve physical activity in people with a musculoskeletal condition by Webb, Justin, Allison, Heather, Mprah, Michael

“…Monitoring of activity by a named person can create commitment. Many dip in and out. …”
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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling by Han, Xu, Kim, Jung-jae, Kwoh, Chee Keong

“…We then develop a statistical method to rank the potential false negatives of unlabeled documents 1) by using a language model that measures the probabilities of the expression of multiple events in documents and 2) by using a named entity recognition system that locates the named entities that can be event arguments (e.g. proteins). …”
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Active learning with applications in biomedical document annotation by Han, Xu

“…We then adopt a statis- tical method to rank the potential false negatives of unlabeled docu- ments 1) by using a language model that measures the probabilities of the expression of multiple events in documents and 2) by using a named entity recognition system that locates the named entities that can be event arguments (e.g., proteins). …”
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