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https://github.com/zychen423/awesome-kbqa

A curated list of resources related to Knowledge Base Question Answering
https://github.com/zychen423/awesome-kbqa

List: awesome-kbqa

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A curated list of resources related to Knowledge Base Question Answering

Host: GitHub
URL: https://github.com/zychen423/awesome-kbqa
Owner: zychen423
Created: 2020-07-30T01:58:50.000Z (about 4 years ago)
Default Branch: master
Last Pushed: 2021-02-07T07:09:21.000Z (over 3 years ago)
Last Synced: 2024-04-20T13:12:49.839Z (5 months ago)
Size: 25.4 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # Awesome-KBQA

A list of resources related to Knowledge Base Question Answering. 

## List of Contents

- [Paper](#paper)

  - [KBQA](#kbqa)

  - [Knowledge Base Construction](#knowledge-base-construction)

- [Dataset](#dataset)

- [Knowledge Base](#knowledge base)

- [Tool](#tool)

- [Contribution](#contribution)

- [Reference](#reference)

## Paper

### KBQA

#### 2020

---

- **Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases**, ACL 2020 

  [[paper]](https://www.aclweb.org/anthology/2020.acl-main.91/)

  [[code]](https://github.com/lanyunshi/Multi-hopComplexKBQA)

- **NeuInfer : Knowledge Inference on N-ary Facts**, ACL2020 

  [[paper]](https://www.aclweb.org/anthology/2020.acl-main.546/)

- **Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings**, ACL 2020 

  [[paper]](https://www.aclweb.org/anthology/2020.acl-main.412/)

- **SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases**, AAAI 2020 

  [[paper]](https://arxiv.org/abs/2003.13956)

  [[code]](https://github.com/nju-websoft/SPARQA)

#### 2019

---

- **UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering**, NAACL 2019 

  [[paper]](https://www.aclweb.org/anthology/N19-1031/)

  [[code]](https://github.com/zychen423/UHop)

- **Knowledge Graph Embedding Based Question Answering**, WSDM 2019 

  [[paper]](https://dl.acm.org/doi/abs/10.1145/3289600.3290956)

- **Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering**, ACL 2019 

  [[paper]](https://www.aclweb.org/anthology/P19-1616/)

  [[code]](https://github.com/wudapeng268/KBQA-Adapter)

- **PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text**, EMNLP-IJCAI 2019

  [[paper]](https://www.aclweb.org/anthology/D19-1242/)

#### 2018

---

- **Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks**, NAACL 2018 

  [[paper]](https://www.aclweb.org/anthology/N18-2047/)

- **SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach**, EMNLP 2018 

  [[paper]](https://www.aclweb.org/anthology/D18-1051/)

- **Variational Reasoning for Question Answering with Knowledge Graph**, AAAI 2018

  [[paper]](https://arxiv.org/abs/1709.04071)

- **The Web as a Knowledge-base for Answering Complex Questions**, NAACL 2018 

  [[paper]](https://www.aclweb.org/anthology/N18-1059/)

  [[code]](https://github.com/alontalmor/CQD)

- **Knowledge Base Question Answering via Encoding of Complex Query Graphs**, EMNLP 2018 

  [[paper]](https://www.aclweb.org/anthology/D18-1242/)

  [[code]](https://github.com/FengliLin/EMNLP2018-KBQA)

#### 2017

---

- **Improved Neural Relation Detection for Knowledge Base Question Answering**, ACL 2017 

  [[paper]](https://www.aclweb.org/anthology/P17-1053/)

- **Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision**, ACL 2017 

  [[paper]](https://www.aclweb.org/anthology/P17-1003/)

  [[code]](https://github.com/crazydonkey200/neural-symbolic-machines)

#### 2016

---

- **Constraint-Based Question Answering with Knowledge Graph**, COLING 2016 

  [[paper]](https://www.aclweb.org/anthology/C16-1236/)

  [[code]](https://github.com/JunweiBao/MulCQA)

- **CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases**, ACL 2016 

  [[paper]](https://www.aclweb.org/anthology/P16-1076/)

  [[code]](https://github.com/zihangdai/CFO)

- **Character-Level Question Answering with Attention**, EMNLP 2016 

  [[paper]](https://www.aclweb.org/anthology/D16-1166/)

  [[code]](https://github.com/davidgolub/simpleqa)

- **On Generating Characteristic-rich Question Sets for QA Evaluation**, EMNLP 2016 

  [[paper]](https://www.aclweb.org/anthology/D16-1054/)

  [[code]](https://github.com/ysu1989/GraphQuestions)

- **Question Answering on Freebase via Relation Extraction and Textual Evidence**, ACL 2016 

  [[paper]](https://www.aclweb.org/anthology/P16-1220/)

  [[code]](https://github.com/syxu828/QuestionAnsweringOverFB)

- **The Value of Semantic Parse Labeling for Knowledge Base Question Answering**, ACL 2016 

  [[paper]](https://www.aclweb.org/anthology/P16-2033/)

- **Simple Question Answering by Attentive Convolutional Neural Network**, COLING 2016 

  [[paper]](https://www.aclweb.org/anthology/C16-1164/)

  [[code]](https://github.com/Gorov/SimpleQuestions-EntityLinking)

#### 2015

---

- **Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base**, ACL 2015 

  [[paper]](https://www.aclweb.org/anthology/P15-1128/)

  [[code]](https://github.com/scottyih/STAGG)

- **More Accurate Question Answering on Freebase**, CIKM 2015 

  [[paper]](https://dl.acm.org/doi/10.1145/2806416.2806472)

  [[code]](https://github.com/ad-freiburg/aqqu)

- **Compositional Semantic Parsing on Semi-Structured Tables** , ACL 2015

  [[paper]](https://www.aclweb.org/anthology/P15-1142/)

  [[code]](https://github.com/ppasupat/WikiTableQuestions)

- **Large-scale Simple Question Answering with Memory Networks** 

  [[paper]](https://arxiv.org/abs/1506.02075)

  [[code]](https://github.com/Jerryzhao-z/simple-question-answering-with-memory-networks)

  

#### 2014

--- 

- **Semantic Parsing for Single-Relation Question Answering**, ACL 2014

  [[paper]](https://www.microsoft.com/en-us/research/publication/semantic-parsing-for-single-relation-question-answering/)

- **Freebase QA: Information Extraction or Semantic Parsing?**, ACL 2014 Workshop on Semantic Parsing

  [[paper]](https://www.aclweb.org/anthology/W14-2416/)

- **Information Extraction over Structured Data: Question Answering with Freebase**, ACL 2014

  [[paper]](https://www.aclweb.org/anthology/P14-1090/)

#### 2013

---

- **Semantic Parsing on Freebase from Question-Answer Pairs**, EMNLP 2013

  [[paper]](https://www.aclweb.org/anthology/D13-1160/)

### Knowledge Base Construction

---

- **Semi-Automating Knowledge Base Construction for Cancer Genetics**, AKBC 2020

  [[paper]](https://arxiv.org/abs/2005.08146)

- **Learning to Update Knowledge Graphs by Reading News**, EMNLP 2019

  [[paper]](https://www.aclweb.org/anthology/D19-1265/)

## Dataset

- **ComplexWebQuestions**

  [[link]](https://www.tau-nlp.org/compwebq)

- **ComplexQuestions**

  [[link]](https://github.com/JunweiBao/MulCQA)

- **MetaQA**

  [[link]](https://github.com/yuyuz/MetaQA)

- **GraphQuestions**

  [[link]](https://github.com/ysu1989/GraphQuestions)

- **WikiTableQuestions**

  [[link]](https://github.com/ppasupat/WikiTableQuestions)

- **WebQuestions**

  [[link]](https://nlp.stanford.edu/software/sempre/)

  - alternatives 

    [[link]](https://github.com/brmson/dataset-factoid-webquestions)

- **WebQuestionsSP** 

  [[link]](https://www.microsoft.com/en-us/research/publication/the-value-of-semantic-parse-labeling-for-knowledge-base-question-answering-2/)

- **SimpleQuestions** 

  [[link]](https://research.fb.com/downloads/babi/)

## Knowledge Base

- **Freebase** 

  [[link]](https://developers.google.com/freebase)

- **DBpedia** 

  [[link]](https://wiki.dbpedia.org/)

- **Wikidata** 

  [[link]](https://www.wikidata.org/wiki/Wikidata:Main_Page)

## Tool

### RDF database

- **Virtuoso** 

  [[link]](https://virtuoso.openlinksw.com/)    

- **GraphDB**

  [[link]](https://graphdb.ontotext.com/)

  

  

## Contribution

Feel free to send a pull request or open an issue.

## Reference

- https://github.com/terryum/awesome-deep-learning-papers