NLP: Related tasks in the field of NLP technology - a detailed strategy of the top-level tasks of the two types of tasks (for ordinary users/multi-level technology) + basic tasks (syntax analysis/sentence analysis/semantic analysis/information extraction)

Table of contents

Top-level tasks—ordinary users/multi-level technologies

Basic task classification—lexical analysis/sentence analysis/semantic analysis/information extraction

Lexical Analysis (Lexical Analysis)

Sentence Analysis

Semantic Analysis

Information Extraction


Top-level tasks—ordinary users/multi-level technologies

Directly facing ordinary users, providing system-level tasks of natural language processing products and services will use multiple levels of natural language processing technology

Machine Translation

Text summarization (Text summarization/Simplication)

Question-Answering System

Dialogue System

Reading Comprehension

Automatic Essay Grading

Textual Entailment

Speech Recognition (Automatic Speech Recognition)

speech synthesis

Word Prediction

Text Correct

Grapheme to Phoneme

Paraphrase Detection Paraphrase Detection

Pinyin-To-Chinese

Sign Language RecognitionSign Language Recognition

Paraphrase Generation Paraphrase Generation

Word Sense Disambiguation

Humor Detection Humor Detection

Sarcasm Detection Sarcasm Detection

Entity Linking Entity Linking

Keyphrase Extraction and Social Tag Suggestion Keyphrase Extraction and Social Tag Suggestion

Corpus annotation - active learning Active Learning

Basic task classification—lexical analysis/sentence analysis/semantic analysis/information extraction

Lexical Analysis (Lexical Analysis)

Lexical analysis of natural language is the basic work of NLP;

Word Segmentation

New words ldentification

Morphological Analysis

Part of Speech tagging (Part Of Speech)

Spelling Correction

Sentence Analysis

Sentence-level analysis of natural language, including syntactic analysis and other sentence-level analysis tasks;

Chunking Analysis (Chunking)

Super Tagging

Constituency Parsing

Dependency Parsing

Language Modeling

Language identification

Sentence boundary detection (Sentence Bounaary -1Detection)

Sentence Boundary Disambiguation Sentence Boundary Disambiguation

Semantic Analysis

Analyze and understand the given text to form a formal or distributed representation that can express semantics;

Word Sense Disambiguation

Semantic Role Labeling

Abstract Meaning Representation Parsing

First Order Predicate Calculus

Frame Semantic Parsing

Vectorized representation of vocabulary/sentence/paragraph (Word/ aSentence/Paragraph Vector)

Information Extraction

Extract structured information from unstructured text;

Named Entity Recognition

Entity Disambiguation-1

Term Extraction (Terminology/Giossary -1Extraction)

Coreference Resolution

Relationship Extraction

Event Extraction

Sentiment Analysis

Intent Detection

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Origin blog.csdn.net/qq_41185868/article/details/131039768