[PDF][PDF] Semeval-2014 task 10: Multilingual semantic textual similarity
Abstract In Semantic Textual Similarity, systems rate the degree of semantic equivalence
between two text snippets. This year, the participants were challenged with new data sets for …
between two text snippets. This year, the participants were challenged with new data sets for …
In defense of word embedding for generic text representation
Statistical methods have shown a remarkable ability to capture semantics. The word2vec
method is a frequently cited method for capturing meaningful semantic relations between …
method is a frequently cited method for capturing meaningful semantic relations between …
Word embedding-based approaches for measuring semantic similarity of arabic-english sentences
Abstract Semantic Textual Similarity (STS) is an important component in many Natural
Language Processing (NLP) applications, and plays an important role in diverse areas such …
Language Processing (NLP) applications, and plays an important role in diverse areas such …
[PDF][PDF] Cross-Language Semantic Similarity of Arabic-English Short Phrases and Sentences.
S Alzahrani - J. Comput. Sci., 2016 - researchgate.net
Measuring cross-language semantic similarity between short texts is a task that is
challenging in terms of human understanding. This paper addresses this problem by …
challenging in terms of human understanding. This paper addresses this problem by …
Learning structural kernels for natural language processing
Structural kernels are a flexible learning paradigm that has been widely used in Natural
Language Processing. However, the problem of model selection in kernel-based methods is …
Language Processing. However, the problem of model selection in kernel-based methods is …
Methods for measuring semantic similarity of texts
MAR Gaona - 2014 - wlv.openrepository.com
Measuring semantic similarity is a task needed in many Natural Language Processing (NLP)
applications. For example, in Machine Translation evaluation, semantic similarity is used to …
applications. For example, in Machine Translation evaluation, semantic similarity is used to …