Extractive Question Answering is a task in which a model is trained to extract the answer to a question from a given context. The model is trained to predict ...

This type of question answering (QA) extracts answers directly from the documents by highlighting the span of text that makes up the answer.

Time to look at question answering! This task comes in many flavors, but the one we'll focus on in this section is called extractive question answering.

11 мая 2023 г. · Extractive question answering involves identifying and extracting the answer to a given question directly from a given text. This approach is ... Introduction · How Does Extractive Question...

10 авг. 2023 г. · This method involves pinpointing an answer directly from the provided context and marking the start and end token locations within the text.

Extractive question answering (EQA) is the task of finding an answer span to a question from a con- text paragraph. Most of the deep learning models for ...

The main goal of extractive question-answering is to find the most relevant and accurate answer to a given question within the provided text passage.

Extractive question answering is one of the most important tasks in natural language processing (NLP) which has high research value.

Extractive question-answering (EQA) is a useful natural language processing (NLP) application for answering patient-specific questions by locating answers ...