Entity based Q&A Retrieval
By Amit Singh. 2012
41 citations recorded by the source corpus.
Subfields: Information Retrieval & Search, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Retrieval & Search
- Ming-Wei Chang
- Kristina Toutanova
- Kenton C. T. Lee
- Wen-tau Yih
- Hannaneh Hajishirzi
- Jun Zhao
- Guangyou Zhou
- Tingting He
In Natural Language Processing
- Luke S. Zettlemoyer
- Jianfeng Gao
- Mohit Bansal
- Hannaneh Hajishirzi
- Percy Liang
- Yejin Choi
- Ming-Wei Chang
- Graham Neubig
Citations in the corpus
- Latent Retrieval for Weakly Supervised Open Domain Question Answering (2019, background): “However, QA is fundamentally different from IR (Singh, 2012).”
- Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering (2015, background): “Singh (2012) addressed the lexical gap issues by extending the lexical word-based translation model to incorporate semantic information (entities).”