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Policy 5

The document discusses future areas of improvement for the IRIS relation extraction tool. It could be improved to extract relations from larger scales of text and different types of events. Its results could also be integrated more widely and used in additional applications like sequence analysis. Further automation of the curation process would help free up curators for more important tasks and allow for more efficient and comprehensive curation.

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ANANYA
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41 views1 page

Policy 5

The document discusses future areas of improvement for the IRIS relation extraction tool. It could be improved to extract relations from larger scales of text and different types of events. Its results could also be integrated more widely and used in additional applications like sequence analysis. Further automation of the curation process would help free up curators for more important tasks and allow for more efficient and comprehensive curation.

Uploaded by

ANANYA
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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CHAPTER 8

FUTURE SCOPE

Despite the fact that the IRIS gives sparkler result, still can upgrade the capacity

to concentrate substantial scale relation extraction. This methodology still has

unobtrusive execution on regulatory events. However, the issues are tended to and

consequently open doors for upgrades. The organized results recovered from IRIS are of

particular capabilities and therefore extricates certain relations only.

In further tasks, tool scalability and integration dependency on commonly

accepted are supposed to be eliminated. The enhanced access to services and tools for the

community of biologists, bioinformaticians (through web servers and portals), and

developers (by providing free, open source academic software) can be updated

In spite of significant activities towards consistent data exchange and

interoperability, a pilot application can be incorporated into work process.

This developed methodology can be enhanced for the capability of applications such as

sequence analysis, genome analysis, or protein structure prediction. The last direction is

to focus on ongoing activity as development of text mining resources.

Still, it requires gradual automatism strategy for a great part of the abundant of the

curation process, and in this manner making free the resourceful for supplementary

exigent tasks to the curators, and making conceivable a significantly more effective and

exhaustive curation process gets to be pivotal.

As conclusive words, it ensures and fulfils its objectives as to retrieve and extracts

the recognized entities and its relationship by semantic and by resolving ambiguity.

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