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IBM Debater Mention Detection Benchmark

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Dataset logo

IBM Debater Mention Detection Benchmark

By IBM Data Asset eXchange

The goal of Mention Detection is to map entities/concepts mentioned in text to the correct concept in a knowledge base. The dataset contains 3000 sentences that are annotated with Mentions.

Type

Dataset

Update frequency

Historical

Updated

Mar 26, 2020

Delivery method

Download

A large, high-quality benchmark dataset for mention detection. The goal of Mention Detection is to map entities/concepts mentioned in text to the correct concept in a knowledge base. The benchmark contains annotations of both named entities as well as other types of entities, annotated on different types of text, ranging from clean text taken from Wikipedia, to noisy spoken data. There are 3000 sentences with a total of 6375 Mentions in the Wikipedia sentences and 6239 in the spoken sentences.

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