Skip to content

Discard "UNK_UNK" tag for original bert implementation #10

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Discard "UNK_UNK" tag for original bert implementation #10

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion bert.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -548,7 +548,7 @@ def main(_):
if task_name not in processors:
raise ValueError("Task not found: %s" % (task_name))

processor = processors[task_name]()
processor = processors[task_name](bert=True)

label_list = processor.get_labels()

Expand Down
12 changes: 11 additions & 1 deletion data_processors.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -94,6 +94,9 @@ def _read_tsv(cls, input_file, quotechar=None):
class QcFineProcessor(DataProcessor):
"""Processor for the MultiNLI data set (GLUE version)."""

def __init__(self, bert=False):
self.bert = bert

def get_labeled_examples(self, data_dir):
"""See base class."""
return self._create_examples(os.path.join(data_dir, "labeled.tsv"), "train")
Expand All @@ -108,7 +111,14 @@ def get_test_examples(self, data_dir):

def get_labels(self):
"""See base class."""
return ["UNK_UNK", "ABBR_abb", "ABBR_exp", "DESC_def", "DESC_desc", "DESC_manner", "DESC_reason", "ENTY_animal", "ENTY_body", "ENTY_color", "ENTY_cremat", "ENTY_currency", "ENTY_dismed", "ENTY_event", "ENTY_food", "ENTY_instru", "ENTY_lang", "ENTY_letter", "ENTY_other", "ENTY_plant", "ENTY_product", "ENTY_religion", "ENTY_sport", "ENTY_substance", "ENTY_symbol", "ENTY_techmeth", "ENTY_termeq", "ENTY_veh", "ENTY_word", "HUM_desc", "HUM_gr", "HUM_ind", "HUM_title", "LOC_city", "LOC_country", "LOC_mount", "LOC_other", "LOC_state", "NUM_code", "NUM_count", "NUM_date", "NUM_dist", "NUM_money", "NUM_ord", "NUM_other", "NUM_perc", "NUM_period", "NUM_speed", "NUM_temp", "NUM_volsize", "NUM_weight"]
label_list = ["UNK_UNK", "ABBR_abb", "ABBR_exp", "DESC_def", "DESC_desc", "DESC_manner", "DESC_reason", "ENTY_animal", "ENTY_body", "ENTY_color", "ENTY_cremat", "ENTY_currency", "ENTY_dismed", "ENTY_event", "ENTY_food", "ENTY_instru", "ENTY_lang", "ENTY_letter", "ENTY_other", "ENTY_plant", "ENTY_product", "ENTY_religion", "ENTY_sport", "ENTY_substance", "ENTY_symbol", "ENTY_techmeth", "ENTY_termeq", "ENTY_veh", "ENTY_word", "HUM_desc", "HUM_gr", "HUM_ind", "HUM_title", "LOC_city", "LOC_country", "LOC_mount", "LOC_other", "LOC_state", "NUM_code", "NUM_count", "NUM_date", "NUM_dist", "NUM_money", "NUM_ord", "NUM_other", "NUM_perc", "NUM_period", "NUM_speed", "NUM_temp", "NUM_volsize", "NUM_weight"]
if self.bert:
# We do not need "UNK_UNK" label when using the original bert.
# In fact using a label that will not have any example in the training data
# can have serious consequences if your label_list is small.
label_list = label_list[1:]

return label_list

def _create_examples(self, input_file, set_type):
"""Creates examples for the training and dev sets."""
Expand Down