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Update: February 24, 2023 The new version of Termout.org is now online, so this web site is now obsolete and will soon be dismantled. |
Lista de candidatos sometidos a examen:
1) n-grams (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: n-grams
Is in goldstandard
1
paper CO_Lenguajetxt144 - : With regard to features used for classification, ^[54]Gamon (2004) shows an improvement for text sentiment classification using deep linguistic features, i.e., frequencies of syntactic rewrite rules and features derived from semantic graphs, which outperform n-grams. ^[55]Mullen and Collier (2004) introduced a sophisticated set of features by combining n-grams, which can be categorized in three groups: (1 ) features extracted from the sentiment values of words or phrases, (2) adjective values for the three factors proposed by ^[56]Osgood, Suci, and Tannenbaum (1957), and (3) sentiment values of words or phrases in (1) or (2) that are either close to each other or within the relevant phrase. Along the same lines, ^[57]Joshi and Penstein-Rosé (2009) use syntactic dependency to capture adjectival modification of nouns. This work is highly dependent on the domain, though, which motivated a generalization of the approach using bigrams (^[58]Xia & Zong, 2010). In a similar way, ^[59]Ng, Dasgupta,
2
paper corpusRLAtxt208 - : - Agrupaciones/N-Grams (Clusters/N-Grams): La herramienta "agrupaciones" muestra conjuntos de palabras bajo ciertas especificaciones y/o condiciones . En esencia, resume los resultados generados en otras herramientas como "concordancias" o "concordancias en barra". La herramienta N-Grams, por su parte, realiza un escaneo del corpus completo para mostrar la longitud de los conjuntos de palabras (por ejemplo, una palabra, dos palabras.), lo cual permite al investigador conseguir expresiones comunes en el corpus.
3
paper corpusSignostxt177 - : 1. For several values of n (usually from 1 to 3), calculate the Modified Unified Precision (MUP) of the student answer, i.e. the percentage of n-grams from the student's answer which appears in any of the references:
Evaluando al candidato n-grams:
3) sentiment: 3
n-grams
Lengua: eng
Frec: 9
Docs: 6
Nombre propio: 1 / 9 = 11%
Coocurrencias con glosario:
Puntaje: 0.694 = ( + (1+2) / (1+3.32192809488736)));
Candidato aceptado
Referencias bibliográficas encontradas sobre cada término
(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)| n-grams |
: Sidorov, G. (2014). Should syntactic N-grams contain names of syntactic relations? International Journal of Computational Linguistics and Applications, 5(1), 139-158. |