2013/04/26 · Abstract:Question answering involves developing methods to extract useful information from large collections of documents.
Question answering involves developing methods to extract useful information from large collections of documents. This is done with specialised search ...
Question answering involves developing methods to extract useful information from large collections of documents. This is done with specialised search ...
We present a question answering system with a hybrid design, combining techniques from knowledge representation, information retrieval, and natural language.
2022/07/10 · To enable building and testing models on long-document comprehension, we introduce. QuALITY, a multiple-choice QA dataset with context passages ...
We describe an approach to finding literal answer strings to natural language questions in large text collections. The approach involves linking an IR system ...
Abstract. We present a question answering system with a hybrid design, combining techniques from knowledge representation, information retrieval ...
2019/10/21 · The NLP community has made great progress on open-domain question answering, but our systems still struggle to answer complex questions over a large collection ...
We describe an approach to finding literal answer strings to natural language questions in large text collections. The approach involves linking an IR ...
関連する質問
What is IR-based question answering?
What is the difference between question answering and information retrieval?
What is question answering system with text mining and deep networks?
What is question answering in AI?
In this paper, we address the task of answering factual questions, where the answers are to be found in documents in a large text database. We adopt a machine ...
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