In this part, we’ll look at how you might intelligently reduce the sentence when preparing a phrase for a search from it. In particular, you’ll see how to reduce the sentences containing an adverbial clause modifier or an open clausal complement. Say, you have the following sentence as an input: ‘I talked to him to secure the account.’ In this...

In this tenth part in the series, we are continuing to discuss how you might take advantage of linguistic features available in spaCy. In particular, we’ll look at how you might obtain necessary information related to the task of meaning extraction, when it comes to understanding of user input coming in the form of request utterances. From the previous parts,...

In the previous parts, you’ve learned a lot about how to use linguistics features in spaCy to interpret a user query’s intent. Continuing with this topic in this part, we’ll cover to extract intent from user input, using different pattern based on syntactic dependency labels. As a quick refresher, we’ll look at the role of the direct object/transitive verb pair...

Summarizing all those examples you have seen in the previous articles in this series, you should have already a good grasp of how the most common types of request sentences might be processed to extract the phrase that is most relevant for feeding a search engine. Just to recap, you have seen examples that rely on using linguistic features extracted...

In the previous articles in this series, you learned how interrogative sentences of the most common types can be parsed, allowing you to extract the most descriptive words from a sentence to be used then for a search for a relevant answer. In other words, you learned to implement the ability to understand what the user is asking about or...