Factoid Question Answering over Unstructured and Structured Web Content

By Silviu Cucerzan, Eugene Agichtein. 2005

40 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

1. C. Burges
2. Jifan Chen
3. Eric P. Xing
4. Matthew Richardson
5. Greg Durrett
6. Erin Renshaw
7. Mrinmaya Sachan
8. Eunsol Choi

In Natural Language Processing

1. Eric P. Xing
2. Mrinmaya Sachan
3. Greg Durrett
4. Kumar Avinava Dubey
5. Eunsol Choi
6. Jifan Chen
7. Percy Liang
8. Mohit Bansal

Citations in the corpus

• MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text (2013, methodology): “For converting question-answer pairs to statements, we used the rules employed in a web-based question answering system (Cucerzan and Agichtein, 2005).”
• Learning Answer-Entailing Structures for Machine Comprehension (2015, methodology): “We use the question matching/rewriting rules described in Cucerzan and Agichtein (2005) to achieve this transformation.”
• Can NLI Models Verify QA Systems' Predictions? (2021, methodology): “based approaches have long been employed for this purpose (Cucerzan and Agichtein, 2005), the work of Demszky et al.”