NLP任务整理

任务整理

Posted by DA on December 1, 2019

nlp research process

semantic role labeling(语义角色标注)

  • dataset:
    • FrameNet
    • PropBank
    • Chinese Proposition Bank(CPB)

opinion extraction(观点抽取)

relation extraction(关系抽取)

  • dataset:
    • https://nlp.stanford.edu/projects/tacred/
  • code:
    • https://github.com/roomylee/awesome-relation-extraction
    • https://github.com/thunlp/NRE
  • other:
    • http://nlpprogress.com/english/relationship_extraction.html
    • https://shomy.top/2018/02/28/relation-extraction/
  • model:
    • CRCNN(Classifying Relations by Ranking with CNN)
    • PCNN(Piece Wise CNN)

semantic textual similarity(语义文本相似)

named entity recognition(命名实体识别)

text classification(文本分类)

  • other:
    • https://github.com/ChenChengKuan/awesome-text-generation

sentiment Analysis(情感分析)

machine translation(机器翻译)

text generation(文本生成)

-

knowledge graph(知识图谱)

  • dataset:
    • http://openkg.cn/dataset/symptom-in-chinese

entity linking(实体链接)

dependency parsing(依存句法分析)

  • other:
    • http://nlpprogress.com/english/dependency_parsing.html

textual entailment(文本蕴含)

question answering(问答)

  • dataset:
    • https://rajpurkar.github.io/SQuAD-explorer/

transfer learning

  • dataset:
    • https://github.com/brightmart/roberta_zh

overall info

process

  • https://github.com/sebastianruder/NLP-progress

task

  • semeval
  • ccks task
  • https://cloud.tencent.com/developer/article/1117928

data

  • http://www.xuwei.io/2018/11/30/文本分类-glue数据集介绍/
  • https://www.jiqizhixin.com/articles/062402

tools