Suppose we are using the following graph (hyponyms 16.txt, synsets 16.txt) for 9.1 and 9.2: event transition flashback act human_action human activity happening occurrence occurrent natural_event action change alteration alteration modification modification adjustment conversion transition increase leap jump saltation change mutation demotion variation Q8.1 0.25 Points If a user asks for the common ancestors of words = ["adjustment"], what is the expected output? O"[]" O"[adjustment]" "[adjustment, alteration, event, happening, modification, natural_event, occurrence, occurrent]" O"[adjustment, alteration, conversion, modification, mutation]" Not defined behavior None of the above Save Answer Q8.2 0.25 Points Say that the counts of the words are given as follows from 2000 to 2020 (completely made-up values for the sake of this subpart): adjustment = 42389, alteration = 3293, event 39999, occurrence = 2934, happening = 129874, conversion = 12345 Running a common-ancestors query with words = ["adjustment"], k = 3 start Year = 2000, endYear = 2020 should return "[adjustment] "[adjustment, alteration, event] "[happening, adjustment, event]" "[adjustment, event, happening]" "[adjustment, alteration, event, happening, modification, natural_event, occurrence, occurrent]' "[adjustment, alteration, conversion]" O Not defined behavior None of the above Save Answer Q8.3 Common Ancestor Word Intersection 0.25 Points What is the output of a common-ancestors query with words = ["test_subject", "math", "computer_science"] on the graph below? Enter your answer in the form "[your answer here]" (i.e., the same format as the answer choices in 9.1 and 9.2). subject subject test_subject math computer science Save Answer Q8.4 0.25 Points Assume we are using frequency-EECS.csv, hyponyms-EECS.txt, synsets-EECS.txt for this part. If a user passes in words = ["CS172, CS189"], with start Year = 2010, endYear = 2020, and k = 0 what should the output be for common ancestors? "[CS70]" ○ "[CS61B, CS70]" "[bee, CS61A, CS61B, CS70]" '[CS61B, bee]" Save Answer

Suppose we are using the following graph (hyponyms 16.txt, synsets 16.txt) for 9.1 and 9.2: event transition flashback act human_action human activity happening occurrence occurrent natural_event action change alteration alteration modification modification adjustment conversion transition increase leap jump saltation change mutation demotion variation Q8.1 0.25 Points If a user asks for the common ancestors of words = ["adjustment"], what is the expected output? O"[]" O"[adjustment]" "[adjustment, alteration, event, happening, modification, natural_event, occurrence, occurrent]" O"[adjustment, alteration, conversion, modification, mutation]" Not defined behavior None of the above Save Answer Q8.2 0.25 Points Say that the counts of the words are given as follows from 2000 to 2020 (completely made-up values for the sake of this subpart): adjustment = 42389, alteration = 3293, event 39999, occurrence = 2934, happening = 129874, conversion = 12345 Running a common-ancestors query with words = ["adjustment"], k = 3 start Year = 2000, endYear = 2020 should return "[adjustment] "[adjustment, alteration, event] "[happening, adjustment, event]" "[adjustment, event, happening]" "[adjustment, alteration, event, happening, modification, natural_event, occurrence, occurrent]' "[adjustment, alteration, conversion]" O Not defined behavior None of the above Save Answer Q8.3 Common Ancestor Word Intersection 0.25 Points What is the output of a common-ancestors query with words = ["test_subject", "math", "computer_science"] on the graph below? Enter your answer in the form "[your answer here]" (i.e., the same format as the answer choices in 9.1 and 9.2). subject subject test_subject math computer science Save Answer Q8.4 0.25 Points Assume we are using frequency-EECS.csv, hyponyms-EECS.txt, synsets-EECS.txt for this part. If a user passes in words = ["CS172, CS189"], with start Year = 2010, endYear = 2020, and k = 0 what should the output be for common ancestors? "[CS70]" ○ "[CS61B, CS70]" "[bee, CS61A, CS61B, CS70]" '[CS61B, bee]" Save Answer