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What Is KBQA and What Are Its Benchmarks?
This story was originally published on HackerNoon at: https://hackernoon.com/what-is-kbqa-and-what-are-its-benchmarks.
The KBQA task aims to make large knowledge bases accessible by natural language.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #llms, #seq2seq, #natural-language-processing, #kbqa, #large-knowledge-bases, #semantic-parsing, #entity-linking, #kbqa-benchmarks, and more.
This story was written by: @fewshot. Learn more about this writer by checking @fewshot's about page,
and for more stories, please visit hackernoon.com.
The KBQA task aims to make large knowledge bases accessible by natural language. One common approach is semantic parsing where a natural language query is translated into a formal logical form, which is then executed to retrieve an answer from the knowledge base. To handle large KBs, one method is to formulate SP as a multi-staged search problem.
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This story was originally published on HackerNoon at: https://hackernoon.com/what-is-kbqa-and-what-are-its-benchmarks.
The KBQA task aims to make large knowledge bases accessible by natural language.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #llms, #seq2seq, #natural-language-processing, #kbqa, #large-knowledge-bases, #semantic-parsing, #entity-linking, #kbqa-benchmarks, and more.
This story was written by: @fewshot. Learn more about this writer by checking @fewshot's about page,
and for more stories, please visit hackernoon.com.
The KBQA task aims to make large knowledge bases accessible by natural language. One common approach is semantic parsing where a natural language query is translated into a formal logical form, which is then executed to retrieve an answer from the knowledge base. To handle large KBs, one method is to formulate SP as a multi-staged search problem.