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corpus-of-interface-conditions.json
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corpus-of-interface-conditions.json
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{"num_experiments_to_run": 1,
"check_model": false,
"smt.phase_selection.random_seed.enabled": true,
"max_num_empty_lexical_items": 2,
"max_num_movements": 2,
"max_num_head_movements": 2,
"max_num_features_per_lexical_entry": 3,
"num_overt_lexical_entries_per_form": 2,
"num_covert_lexical_entries_per_form": 5,
"max_num_overt_pf_connections": 1,
"max_num_covert_pf_connections": 6,
"selection_feature_labels": ["w", "x", "y", "z"],
"licensing_feature_labels": ["p", "q", "r"],
"wisdom": {},
"init_from_lexicon": false,
"init_lexicons": [],
"initial_lexical_items": "[]",
"ics_to_use": "0-7",
"evaluate_intermediate_steps": true,
"input_sequence": [
{"sentence": "what has the man eaten ?",
"locality_constraints": [["theta", {"pred": "eaten", "subj": "the man", "obj": "what"}],
["agree", {"pred": "has", "subj": "the man"}]],
"categorical_constraints": {"N": ["man"],
"V": ["eaten"]}},
{"sentence": "was she given money ?",
"locality_constraints": [["theta", {"pred": "given", "iobj": "she", "obj": "money"}],
["agree", {"pred": "was", "subj": "she"}]],
"categorical_constraints": {"N": ["she", "money"],
"V": ["given"]}},
{"sentence": "who will tell her that he has resigned ?",
"locality_constraints": [["theta", {"pred": "tell", "subj": "who", "obj": "that he has resigned", "iobj": "her"}],
["agree", {"pred": "will", "subj": "who"}],
["theta", {"pred": "resigned", "subj": "he"}],
["agree", {"pred": "has", "subj": "he"}]],
"categorical_constraints": {"N": ["her", "he"],
"V": ["tell", "resigned"]}},
{"sentence": "she has known everyone who was loved .",
"locality_constraints": [["theta", {"pred": "known", "subj": "she", "obj": "everyone who was loved"}],
["agree", {"pred": "has", "subj": "she"}],
["theta", {"pred": "loved", "obj": "everyone"}],
["agree", {"pred": "was", "subj": "everyone"}]],
"categorical_constraints": {"N": ["she", "everyone"],
"V": ["known", "loved"]}},
{"sentence": "she knows that john has given money .",
"locality_constraints": [["theta", {"pred": "knows", "subj": "she", "obj": "that john has given money"}],
["theta", {"pred": "given", "subj": "john", "obj": "money"}],
["agree", {"pred": "has", "subj": "john"}]],
"categorical_constraints": {"N": ["she", "john", "money"],
"V": ["knows", "given"]}},
{"sentence": "john has given money that was stolen .",
"locality_constraints": [["theta", {"pred": "given", "subj": "john", "obj": "money that was stolen"}],
["agree", {"pred": "has", "subj": "john"}],
["theta", {"pred": "stolen", "obj": "money"}],
["agree", {"pred": "was", "subj": "money"}]],
"categorical_constraints": {"N": ["john", "money"],
"V": ["given", "stolen"]}},
{"sentence": "john fears everyone who knows her .",
"locality_constraints": [["theta", {"pred": "fears", "subj": "john", "obj": "everyone who knows her"}],
["theta", {"pred": "knows", "subj": "everyone", "obj": "her"}]],
"categorical_constraints": {"N": ["john", "everyone", "her"],
"V": ["fears", "knows"]}},
{"sentence": "john fears that money was stolen .",
"locality_constraints": [["theta", {"pred": "fears", "subj": "john", "obj": "that money was stolen"}],
["theta", {"pred": "stolen", "obj": "money"}],
["agree", {"pred": "was", "subj": "money"}]],
"categorical_constraints": {"N": ["john", "money"],
"V": ["fears", "stolen"]}}
],
"scrap material": []
}