[PDF] Top 20 Semantic Relatedness Measures in E learning: A study

... related learning objects based on their usage context and claim the hypothesis that similarity of usage indicates content ...a learning object is ...each learning object consisting of the ... See full document

... our study than in previous studies that focused on similarity ...of relatedness are less strictly constrained than perceptions of similarity and validate the need for new relatedness norms to ... See full document

... English study by Rubenstein and Goodenough (1965) translated to ...a study by Gurevych ...the relatedness between the ...a semantic relatedness measure using a certain Wikipedia ... See full document

... both semantic relatedness (SR) scores and textual entailment (TE) ...As semantic relatedness is one of the most general and difficult task in natural language processing we expect that future ... See full document

... mantic relatedness measures calculated based on the UMLS ontology and medical ...based measures are close to medical coders judg- ...of semantic relatedness between concepts for ... See full document

... Community Question Answering forums, such as Quora and Stackoverflow contain millions of questions and answers. Au- tomatically finding the relevant questions from the existing questions and finding the relevant answers ... See full document

... its semantic meaning; to find whether a N-gram is a named entity, we match it to the named entity list extracted using the open- Calais API3, which contains more than 30 types of named entities, such as Person, ... See full document

... that study, participants were instructed to remember object-picture pairs presented in a vertical configuration and close to each other (a scoop of ice cream above an ice cream cone), and to perform two judgments: ... See full document

... The use of semantic knowledge for improving IR by compensating non-optimal queries has been a field of study for a long time. First experi- ments on query expansion by Voorhees (1994) us- ing ... See full document

... Noticing that different information sources of- ten provide complementary coverage of word sense and meaning, we propose a simple and yet effective strategy for measuring lexical se- mantics. Our model consists of a ... See full document

... For comparative purposes, Table 2 shows the Pearson correlation of several previous approaches to semantic relatedness measures against the same data set, as reported in their respective papers. For ... See full document

... we study the interaction between attention and syntactic structures, by experimenting with three LSTM variants: bidirectional- LSTMs, Constituency Tree-LSTMs, and Dependency ...two semantic ... See full document

... Upon closer inspection, the words deviating most from our predictions show either that the change is already present before 1800 (e.g., Steck- enpferd, ‘toy > toy; hobby’), that the new meaning has a very low ... See full document

... in semantic composition research since they are the smallest unit formed by composing ...A semantic relatedness dataset that includes bigrams will thus be useful in the development of automatic ... See full document

... Multi-task Learning is a learning mechanism to improve performance on the current task after having learned a different but related concept or skill on a pre- vious ...by learning tasks in parallel ... See full document

... of semantic similarity and relatedness of terms is an important problem of lexical ...measuring semantic relatedness fall into one of two ...measuring semantic similarity than ... See full document

... The semantic similarity measures not only consider the Lesk semantic relatedness measure ...general semantic relatedness scores between pairs of words or phrases, which are ... See full document

... Inferring semantic relevance among enti- ties ...into learning with either raw text data, or labeled text data ...improve semantic learning. Particularly, we present a joint learning ... See full document

... the semantic relatedness that we want rather than mere similarity, this poor performance appears to be a result of the measure’s “over-relating” — it is far too promiscuous in its judgments of ...other ... See full document

... of semantic relatedness for coreference resolution in ...general, measures from Wikipedia data demonstrated considerable precision for pairs containing named ...machine learning-based system ... See full document