Artificial Intelligence and Big Data Interview Guide - Natural Language Processing (NLP)

Category: General Catalog of "Guidelines for Artificial Intelligence and Big Data Interviews"

The content under the "Artificial Intelligence and Big Data Interview Guide" series will be continuously updated . Readers in need can bookmark the articles to get the latest content of the articles in time.

---

What are some common tasks in the field of Natural Language Processing (NLP)?

• basic task
  • Chinese word segmentation: segment a sentence composed of a series of consecutive characters into a sequence of words
  • Subword Segmentation: Divide a word into several consecutive segments
  • Part-Of-Speech (POS): Tags the grammatical role played by words in a sentence
  • Named Entity Recognition (NER): Identify entities with specific meaning in the text, mainly including names of people, places, institutions, proper nouns, etc.
  • Syntactic Parsing: Given a sentence, analyze the syntactic component information of the sentence, such as subject-verb-object complement and other components
  • Semantic Analysis
• application task
  • emotion analysis
  • intent recognition
  • question answering system
  • dialogue system
  • machine translation
  • text summary

Reference articles:
Natural language processing from entry to application - basic knowledge of Natural Language Processing (NLP) Natural language processing from entry to application - basic tasks of natural language processing: Chinese word segmentation and subword segmentation Natural From entry to application of language processing - basic tasks of natural language processing: POS Tagging and syntactic parsing · From entry to application of natural language processing - basic tasks of natural language processing: Semantic Analysis )

---

reIn the Python regular expression module, the difference between re.match()andre.search()

• re.match()Start matching from the beginning of the string, return success Match object, return failure None, only one result can be matched
• re.search()Search in the string, return successfully Match object, return failed None, only one result can be matched