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Information Extraction From Recipes

Robochef 2.0 is an advanced system designed to convert semi-structured natural language data from recipes into a structured, machine-readable format. It analyzes recipe text and extracts key information such as ingredients, instructions, measurements, utensils, and more. With Robochef 2.0, you can effortlessly organize and process recipe data for various applications.

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Information Extraction From Recipes

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  1. Information Extraction From Recipes aka Robochef v 2.0

  2. Objectives • To convert semi-structured NLP into a structured, machine readable format • “Chop the carrots with a large knife” -> CHOP( CARROTS) (KNIFE)

  3. Data • <RECIPE> • <TI>Lychee Sherbet</TI> • <IN>24 lychees</IN> • <IN>1 pk unflavored gelatine</IN> • <IN>1/4 cup cold water</IN> • <IN>1/3 cup milk</IN> • <IN>1/2 cup sugar</IN> • <IN>1/3 cup milk</IN> • <IN>1 cup half and half</IN> • <IN>1 teaspoon lemon juice</IN> • <PR>Peel and seed lychees. Squeeze lychees through 2 pieces of cheesecloth to obtain 1 cup of juice. Sprinkle gelatine over cold water and let stand for 5 minutes. Scald milk, add soaked gelatine, and stir until thoroughly dissolved. Add sugar, mixing well. Cool. Add milk and half and half. Stir in lychee and lemon juice. Freeze in ice-cream freezer.</PR> • </RECIPE>

  4. NER task 1 cup half and half <UNIT> <AMT> <FOOD> <ACT> <FOOD> Squeezelychees through 2 pieces of cheesecloth … <UTENSIL>

  5. Group Words • Words like “batter”, which are not explicit ingredients but combinations of ingredients • Words like “dry ingredients”, which refer to a large set of ingredients

  6. Features • Current Word. • Previous Word, Next word. • Previous Label. • Parts of Speech for current word, previous word, and next word. • The appearance of numbers [0-9]. • Ends with “-ed”. • No vowels. • If the word is not contained in the list of ingredients. • If the words is not in the ingredients AND it is a noun • Word Length. • First occurrence. • The appearance of “mix-“ or “ingredient-”

  7. Sematic Role Labeling • Squeezelychees through 2 pieces of cheesecloth • Squeeze(lychees)(cheesecloth) • Arguments assigned to actions using distance in parse tree

  8. Coreference Resolution • Resolving all instances of “lychees” is easy • Use the ingredients list • Resolving “dough” to “flour”,”water” is harder. • Treat it as a machine translation problem • Use EM • Didn’t get time to evaluate

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