Awesome Question Answering Awesome

A curated list of the Question Answering (QA) subject which is a computer science discipline within the fields of information retrieval and natural language processing (NLP) toward using machine learning and deep learning

정보 검색 및 자연 언어 처리 분야의 질의응답에 관한 큐레이션 - 머신러닝과 딥러닝 단계까지 问答系统主题的精选列表,是信息检索和自然语言处理领域的计算机科学学科 - 使用机器学习和深度学习

Contents

About QA

Types of QA

Subtypes of QA

Analysis and Parsing for Pre-processing in QA systems

Lanugage Analysis

  1. Morphological analysis
  2. Named Entity Recognition(NER)
  3. Homonyms / Polysemy Analysis
  4. Syntactic Parsing (Dependency Parsing)
  5. Semantic Recognition

Most QA systems have roughly 3 parts

  1. Fact extraction
    1. Entity Extraction
      1. Named-Entity Recognition(NER)
    2. Relation Extraction
  2. Understanding the question
  3. Generating an answer

Events

Systems

Competitions in QA

| | Dataset | Language | Organizer | Since | Top Rank | Model | Status | Over Human Performance | |---|------------------|---------------|---------------------|-------|-------------------------|-------------------------|--------|------------------------| | 0 | Story Cloze Test | English | Univ. of Rochester | 2016 | msap | Logistic regression | Closed | x | | 1 | MS MARCO | English | Microsoft | 2016 | YUANFUDAO research NLP | MARS | Closed | o | | 2 | MS MARCO V2 | English | Microsoft | 2018 | NTT Media Intelli. Lab. | Masque Q&A Style | Opened | x | | 3 | SQuAD | English | Univ. of Stanford | 2018 | Google AI Language | BERT (ensemble) | Closed | o | | 4 | SQuAD 2.0 | English | Univ. of Stanford | 2018 | Microsoft Research Asia | BERT+MMFT+ADA (ensemble) | Opened | x | | 5 | TriviaQA | English | Univ. of Washington | 2017 | Ming Yan | - | Closed | - | | 6 | decaNLP | English | Salesforce Research | 2018 | Salesforce Research | MQAN | Closed | x | | 7 | DuReader Ver1. | Chinese | Baidu | 2015 | Tryer | T-Reader (single) | Closed | x | | 8 | DuReader Ver2. | Chinese | Baidu | 2017 | renaissance | AliReader | Opened | x | | 9 | KorQuAD | Korean | LG CNS AI Research | 2018 | Kakao NLP Team | BERT LM fine-tuned (single) + KHAIII | Closed | o |

Publications

Codes

Lectures

Slides

Dataset Collections

Datasets

The DeepQA Research Team in IBM Watson's publication within 5 years

MS Research's publication within 5 years

Google AI's publication within 5 years

Facebook AI Research's publication within 5 years

Books

Contributing

Contributions welcome! Read the contribution guidelines first.

License

CC0

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