Sentence examples for semantic boundary from inspiring English sources

Arguably we can only know where a semantic boundary lies if that boundary was fixed by our use or by the fact that one particular property is a natural kind.

The inclination to validate all the premises of a sorites argument (along with the inference pattern employed, which the Stoics accepted) was to be explained via ignorance more exactly, the unknowable nature of the relevant sharp semantic boundary.

With this understanding of the elusive nature of semantic boundaries, the way is clear to suppose that such boundaries might exist despite their apparent absence.

It is not the intention to define the term in this paper nor to explore the concept in depth, except to note that there appears to be almost constant redefinition and shifting of semantic boundaries whenever it is expedient to do so — often more in response to political fashion than crop pest reality.

It subsequently uses the semantic distance boundary spanning measure to demonstrate that boundary spanning innovation has become more common in recent decades, and show that these boundary spanning inventions pose challenges for the traditional specialized-examiner patent examination model.

Here, we propose to counter this effect by combining semantic segmentation with semantically informed edge detection, thus making class boundaries explicit in the model.

Therefore, for akhar in Arabic and lagi in Malay which express both Repetition and Increment, we can show its boundaries in the semantic map as follows (Fig. 4): Open image in new window Fig. 4 The boundaries of Arabic akhar and Malay lagi.

It has also been used demarcate the boundary between semantics and pragmatics, and to defend a notably austere version of semantic minimalism (Borg, 2004).

We show that boundary detection significantly improves semantic segmentation with CNNs in an end-to-end training scheme.

Named Entity Recognition (NER), which is to identify boundary and to determine semantic classes (e.g., person names, locations, or organizations) of words/phrases in free text, is an important task in NLP research.

DRT was one of the first semantic theories to go beyond the sentence boundary, and take into account how the interpretation of an expression may depend on the preceding discourse.