Sentence examples for representations of documents from inspiring English sources

Table 11 also presents the comparison of three different models (i.e., Word2Vec or Para2Vec, LDA and TF-IDF) in generating the vector representations of documents.

To leverage the advantages of feature-based representations of documents, we propose TournaRank, an unsupervised approach inspired by real-life game and sport competition principles.

In addition to the above baseline, the topic model LDA [5], and TF-IDF [18] are compared to Word2Vec or Para2Vec in generating the vector representations of documents in our experiments.

As the TF-IDF vector representations of documents do not have the ability in capturing the semantic relation between texts, the comparison results between TF-IDF and the other two models can be expected.

These global distributions are coarse geographical representations of documented occurrence patterns – bounded by maximum extents – for each species.

In the future we plan to experiment with richer representations of document content, e.g., based on the concepts contained in the documents as represented in ontologies.

This paper presents a platform for the integration of functionalities for the representation of documents, the management of the collections and the multifaceted access to their contents.

Hence, the meaning of an EPR, as a representation of documents, should be transformed into a collaborative environment that supports workflow, enables new care models and allows secure access to distributed health data.

Moreover, the annotations are helpful to model documents/sections of the SAD template that are partially completed (or even empty), or to refine the representation of documents that are not accurately described by their textual contents (e.g., documents that contain many images and little text).

This default number is empirically chosen based on both the computation time and to avoid over-representation of documents for certain well-studied genes.

Section 3 outlines the proposed repository model, and how it supports the representation of document features.