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--- public:t-malv-15-3:8 [2015/10/08 07:39] – [3. Interactive python script] orvark
+++ public:t-malv-15-3:8 [2024/04/29 13:33] (current) – external edit 127.0.0.1
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 ===== 1. Parsing using "feature-based CFG" with semantic attachments =====
-**Semantic analysis of the natural language input using a parser and a grammar with semantic attachments, resulting in a FOL representation of the input.**
+**Semantic analysis of the natural language input using a parser and a grammar with semantic attachments, resulting in a [[https://en.wikipedia.org/wiki/First-order_logic|First-Order Logic]] (FOL) representation of the input.**
 You can perform syntax-driven semantic analysis of the natural language input sentence (as seen in chapters 18.1 and 18.2 in the text book) by building a NLTK parser from a "feature-based context free grammar" (fcfg) that contains semantic attachments as features. [[http://www.nltk.org/book/ch09.html|Feature-based parsing is covered in chapter 9 in the NLTK book]].
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+**Note** that ''tree.label()['SEM']'' returns an object of type ''nltk.sem.logic.ApplicationExpression'' (as can be seen by checking its type with ''type()'') and not a string even though you can print it out. To use it in ''evaluate()'' it has to be turned into a string. The simplest way to do that is to use ''str(semantic_expression)'' or the format operator ''"%s" % semantic_representation'' which return a string.