Domain Specific Query Generation From Natural Language Text

We use linguistic dependencies and metadata to build sets of possible select and where clauses.

Domain specific query generation from natural language text. Since it was founded 1998 this group has worked with partners on significant innovations including ime chinese couplets bing dictionary bing translator spoken translator search engine sign language translation and most recently on xiaoice rinna and. Also we implemented a bayesian natural language classifier working on web pages which. Download citation domain specific query generation from natural language text this paper presents an approach to automate the generation of structure query language from natural language text. A domain specific language dsl is a computer language specialized to a particular application domain this is in contrast to a general purpose language gpl which is broadly applicable across domains.

We focus on the cross domain context dependent text to sql generation task. There are a wide variety of dsls ranging from widely used languages for common domains such as html for web pages down to languages used by only one or a few pieces of software such as. Pretraining large neural language models such as bert has led to impressive gains on many natural language processing nlp tasks. However most pretraining efforts focus on general domain corpora such as in newswire and web text.

Often one question leads to others as the visualizations reveal interesting paths to pursue. If you need fully general computation you re going to end up with a typical computer language. Then we exploit again the metadata to build from clauses enriched with meaningful joins. Any artificial language you invent with a stilted vocabulary focused in a problem area is by definition a domain specific langauge.

Domain specific language model pretraining for biomedical natural language processing. Somewhat on the other side of the spectrum lan et al propose to use iterative an rl based query generation approach kg embeddings free. Our editing mechanism views sql as sequences and reuses. The q a feature in power bi lets you explore your data in your own words using natural language.

Based on the observation that adjacent natural language questions are often linguistically dependent and their corresponding sql queries tend to overlap we utilize the interaction history by editing the previous predicted query to improve the generation quality. An automated domain specific stop word generation method for natural language text classification abstract. Based on the topic entity obtained via some entity linker the authors resort to google kg api for linking to freebase there is a set of 3 operations namely extend connect and aggregate that are applied to the seed entity building a query pattern. Natural language computing nlc group is focusing its efforts on machine translation question answering chat bot and language gaming.

I feel this statement is as good as an answer as i can get to my questions. Sometimes the fastest way to get an answer from your data is to perform a search over your data using natural language.