The phrase "automatic relation" is correct and usable in written English.
It can be used in contexts where you are discussing a relationship or connection that occurs without manual intervention or effort.
Example: "The automatic relation between the two systems allows for seamless data transfer without user input."
Alternatives: "automatic connection" or "automatic link".
The base of this study is automatic relation between neuro-fuzzy network and GIS for simulating groundwater quality and mapping of the results.
In this section, we discuss the notion of relation used in Open IE and position it within the grounded literature in the area of automatic relation extraction from texts.
The chemical compound and drug name recognition plays an important role in chemical text mining, and it is the basis for automatic relation extraction and event identification in chemical information processing.
Due to the importance of identifying relations between chemicals and diseases for new drug discovery and improving chemical safety, there has been a growing interest in developing automatic relation extraction systems for capturing these relations from the rich and rapid-growing biomedical literature.
Most automatic relation detection approaches use pattern matching techniques (Bunescu et al., 2005; Hao et al., 2005; Jang et al., 2006; Plake et al., 2005; Romano et al., 2006; Yakushiji et al., 2005) in which a set of syntax patterns are usually developed to specify how an interaction is described in literature.
Similar things hold for other SON use cases such as load balancing [7], mobility robustness optimization, and automatic neighbor relation [5].
The Second HAREM took place in 2008 and it allowed systems to choose categories, types/subtypes, and it also included the task of identifying the semantic relations between NEs ReRelEM track it was concerned with the automatic detection of relations between NEs in a document [41].
We are also working in a novel approach to address the challenge of automatic extraction of relations described within NCs and ANs using Open IE paradigm [36].
On the fiscal side, the main automatic stabilizer is the relation between tax revenues and cyclical changes in the economy.
The literature however, lacks an account of observable differences in response efficiency (i.e., response time and accuracy), which may be related to changes in our perception of an emotional event's duration, specifically in relation to automatic emotionally loaded events.
Our goal is to systematically evaluate multiple linguistic features, context features, keywords and patterns as cues in the automatic extraction of interaction relation to improve our understanding of how individual features or their combination affect system performance.
