Stock Price Volatility Prediction: A Case Study with AutoML
Hilal Pataci, Yannis Katsis, et al.
FinNLP 2022
We describe the construction of a generic natural language query interface to an XML database. Our interface can accept a large class of English sentences as a query, which can be quite complex and include aggregation, nesting, and value joins, among other things. This query is translated, potentially after reformulation, into an XQuery expression. The translation is based on mapping grammatical proximity of natural language parsed tokens in the parse tree of the query sentence to proximity of corresponding elements in the XML data to be retrieved. Iterative search in the form of followup queries is also supported. Our experimental assessment, through a user study, demonstrates that this type of natural language interface is good enough to be usable now, with no restrictions on the application domain. © 2007 ACM.
Hilal Pataci, Yannis Katsis, et al.
FinNLP 2022
Zhuowei Bao, Benny Kimelfeld, et al.
ACL 2011
Alan Akbik, Yunyao Li
ACL 2016
Yiwei Yang, Eser Kandogan, et al.
ACMIUI-WS 2019