Step 1 Tokenization Lemmatization
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Step 1 Tokenization Lemmatization is Use spaCy to tokenize and lemmatize the input queries.
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| Predicate | Value | Ref |
|---|---|---|
| Description | Use spaCy to tokenize and lemmatize the input queries | [1] |
| Rdf:type | Text Processing Step | [1] |
| Precedes | Step 2 Pos Tagging | [1] |
| Implemented by | Tokenization and Lemmatization Code | [1] |
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ctx:claims/beam/443d33b6-a614-4dbe-ac07-37d5b532d2ad- full textbeam-chunktext/plain1 KB
doc:beam/443d33b6-a614-4dbe-ac07-37d5b532d2adShow excerpt
[Turn 10398] User: Sounds good! I'll integrate spaCy into my pipeline and start with tokenization, lemmatization, and POS tagging. Then I'll move on to synonym expansion and context-aware reformulation. Let's see how it improves my query re…
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