Natural Language Processing Tasks and Examples.

Overview

Natural Language Processing Tasks and Examples

With the advancement of A.I. technology in recent years, natural language processing technology has been able to solve so many problems. While working as an NLP engineer, I encountered various tasks, and I thought it would be nice to gather and organize the natural language processing tasks I have dealt with in one place. Borrowing Kyubyong's project format, I organized natural language processing tasks with references and example code.

Automated Essay Scoring

Automatic Speech Recognition

Dialogue Generation

Dialogue Retrieval

Fill in the Blank

Grammatical Error Correction

Grapheme To Phoneme

Language Modeling

Machine Reading Comprehension

Machine Translation

Math Word Problem Solving

Natural Language Inference

Named Entity Recognition

Paraphrase Generation

Phoneme To Grapheme

Sentiment Analysis

Semantic Textual Similarity

Speech Synthesis

Summarization

Author

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Comments
  • NER 데이터 전처리 관련하여 궁금한 것이 있습니다.

    NER 데이터 전처리 관련하여 궁금한 것이 있습니다.

    코드를 봤는데, NER 데이터 전처리 시에 만일 label이 PER-B이면, word를 tokenizing한 token들 모두에 PER에 해당되는 entity label을 부여하여 학습을 진행하는 것 같은데요,

    모든 token들이 아닌, 맨 앞 token만 label을 줘서 학습하는 것과 차이가 클까요? https://github.com/wzhouad/NLL-IE/blob/main/ner/prepro.py -> 이 분 NER 코드는 맨 앞 token만 entity label을 줘서 처리하는 것 같더라구요.

    제가 생각했을 때는 맨 앞 token만 학습에 활용하는 것이 맞지 않나.. 생각이 들어서 이 부분에 대해 아시는 것이 있으신지 궁금해서 issue남깁니다.

    opened by ZIZUN 5
Owner
Soohwan Kim
Research engineer in NLP and Speech fields.
Soohwan Kim
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