Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work integrates three related AI search techniques - constraint satisfaction, branch-and-bound and solution synthesis - and applies the result to semantic processing in natural language (NL).  summarize the approach as "Hunter-Gatherer:"#R##N##R##N#• branch-and-bound and constraint satisfaction allow us to "hunt down" non-optimal and impossible solutions and prune them from the search space.#R##N##R##N#• solution synthesis methods then "gather" all optimal solutions avoiding exponential complexity.#R##N##R##N#Each of the three techniques is briefly described, as ll as their extensions and combinations used in our system.  focus on the combination of solution synthesis and branch-and-bound methods which has enabled near-linear-time processing in our applications. Finally,  illustrate how the use of our technique in a large-scale MT project allod a drastic reduction in search space.
['Stephen Beale', 'Sergei Nirenburg', 'Kavi Mahesh']
I am writing a research paper on a idea Hunter-Gatherer: three search techniques integrated for natural language semantics
[{"from": "human", "value": "I am writing a research paper on a idea Hunter-Gatherer: three search techniques integrated for natural language semantics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work integrates three related AI search techniques - constraint satisfaction, branch-and-bound and solution synthesis - and applies the result to semantic processing in natural language (NL).  summarize the approach as \"Hunter-Gatherer:\"#R##N##R##N#\u2022 branch-and-bound and constraint satisfaction allow us to \"hunt down\" non-optimal and impossible solutions and prune them from the search space.#R##N##R##N#\u2022 solution synthesis methods then \"gather\" all optimal solutions avoiding exponential complexity.#R##N##R##N#Each of the three techniques is briefly described, as ll as their extensions and combinations used in our system.  focus on the combination of solution synthesis and branch-and-bound methods which has enabled near-linear-time processing in our applications. Finally,  illustrate how the use of our technique in a large-scale MT project allod a drastic reduction in search space."}]