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 Lychee Sherbet 24 lychees 1 pk unflavored gelatine 1/4 cup cold water 1/3 cup milk 1/2 cup sugar 1/3 cup milk 1 cup half and half 1 teaspoon lemon juice 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.

4. NER task 1 cup half and half Squeeze lychees through 2 pieces of cheesecloth …

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 Squeeze lychees 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 Didnt get time to evaluate