adplus-dvertising
frame-decoration

Question

What is analogous to object recognition in unstructured information processing from textual documents?

a.

Recognition of typical scenes

b.

Detection of grammatical forms

c.

Decomposition of texts into grammatical units

d.

Recognition of named entities

Posted under Big Data Computing

Answer: (d).Recognition of named entities Explanation:In unstructured information processing from textual documents, the analogous concept to object recognition is the recognition of named entities.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is analogous to object recognition in unstructured information processing from textual documents?

Similar Questions

Discover Related MCQs

Q. How is scene recognition performed in textual information processing?

Q. What is information extraction primarily referred to as in computer linguistics?

Q. What is an annotation in the context of information extraction?

Q. What does "shallow" NLP primarily focus on in the context of information retrieval and extraction?

Q. For what purposes has deep NLP mainly been used in the past?

Q. In the context of computer linguistics, what is emphasized by calling the IBM Watson system "DeepQA"?

Q. What is a key component in Deep NLP systems for knowledge extraction or analysis?

Q. How does the slot grammar used in the IBM Watson system enhance parsing for knowledge extraction?

Q. What is the primary transformation that deep parsing leads to in the context of knowledge extraction?

Q. What kind of engine is used in the DeepQA system for further processing the knowledge implied in the analyzed sentences?

Q. What does the term "machine readers" refer to in the context of Deep NLP with a focus on knowledge extraction?

Q. What is one of the key challenges for knowledge extraction through machine reading?

Q. Why is entity or predicate disambiguation needed in machine reading?

Q. What is relation extraction used for in machine reading?

Q. What is one of the criteria for distinguishing between document scope and corpus scope in knowledge discovery analyses on textual data?

Q. In the context of the modeling level of analysis, what is the primary distinction between information extraction and knowledge extraction?

Q. What modeling focus is distinguished for information retrieval?

Q. How does document classification help in the context of electronic patent filing?

Q. In knowledge discovery procedures, what is the term "multilabeling" typically associated with?

Q. In practice, what are the two machine learning method approaches often combined for in an exploratory phase?