Class: Informers::TokenClassificationPipeline
- Defined in:
- lib/informers/pipelines.rb
Instance Method Summary collapse
- #call(texts, ignore_labels: ["O"], aggregation_strategy: "simple") ⇒ Object
- #get_tag(entity_name) ⇒ Object
- #group_entities(entities) ⇒ Object
- #group_sub_entities(entities) ⇒ Object
Methods inherited from Pipeline
Constructor Details
This class inherits a constructor from Informers::Pipeline
Instance Method Details
#call(texts, ignore_labels: ["O"], aggregation_strategy: "simple") ⇒ Object
55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 |
# File 'lib/informers/pipelines.rb', line 55 def call( texts, ignore_labels: ["O"], aggregation_strategy: "simple" ) is_batched = texts.is_a?(Array) # Run tokenization model_inputs = @tokenizer.(is_batched ? texts : [texts], padding: true, truncation: true, return_offsets: true ) # Run model outputs = @model.(model_inputs) logits = outputs.logits id2label = @model.config.id2label to_return = [] logits.length.times do |i| ids = model_inputs[:input_ids][i] batch = logits[i] offsets = model_inputs[:offsets][i] # List of tokens that aren't ignored tokens = [] batch.length.times do |j| token_data = batch[j] top_score_index = Utils.max(token_data)[1] entity = id2label ? id2label[top_score_index.to_s] : "LABEL_#{top_score_index}" if ignore_labels.include?(entity) # We predicted a token that should be ignored. So, we skip it. next end # TODO add option to keep special tokens? word = @tokenizer.decode([ids[j]], skip_special_tokens: true) if word == "" # Was a special token. So, we skip it. next end scores = Utils.softmax(token_data) tokens << { entity: entity, score: scores[top_score_index], index: j, word: word, start: offsets[j][0], end: offsets[j][1] } end case aggregation_strategy when "simple" tokens = group_entities(tokens) when "none" # do nothing else raise ArgumentError, "Invalid aggregation_strategy" end to_return << tokens end is_batched ? to_return : to_return[0] end |
#get_tag(entity_name) ⇒ Object
142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 |
# File 'lib/informers/pipelines.rb', line 142 def get_tag(entity_name) if entity_name.start_with?("B-") bi = "B" tag = entity_name[2..] elsif entity_name.start_with?("I-") bi = "I" tag = entity_name[2..] else # It's not in B-, I- format # Default to I- for continuation. bi = "I" tag = entity_name end [bi, tag] end |
#group_entities(entities) ⇒ Object
158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 |
# File 'lib/informers/pipelines.rb', line 158 def group_entities(entities) entity_groups = [] entity_group_disagg = [] entities.each do |entity| if entity_group_disagg.empty? entity_group_disagg << entity next end # If the current entity is similar and adjacent to the previous entity, # append it to the disaggregated entity group # The split is meant to account for the "B" and "I" prefixes # Shouldn't merge if both entities are B-type bi, tag = get_tag(entity[:entity]) _last_bi, last_tag = get_tag(entity_group_disagg[-1][:entity]) if tag == last_tag && bi != "B" # Modify subword type to be previous_type entity_group_disagg << entity else # If the current entity is different from the previous entity # aggregate the disaggregated entity group entity_groups << group_sub_entities(entity_group_disagg) entity_group_disagg = [entity] end end if entity_group_disagg.any? # it's the last entity, add it to the entity groups entity_groups << group_sub_entities(entity_group_disagg) end entity_groups end |
#group_sub_entities(entities) ⇒ Object
126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 |
# File 'lib/informers/pipelines.rb', line 126 def group_sub_entities(entities) # Get the first entity in the entity group entity = entities[0][:entity].split("-", 2)[-1] scores = entities.map { |entity| entity[:score] } tokens = entities.map { |entity| entity[:word] } entity_group = { entity_group: entity, score: scores.sum / scores.count.to_f, word: @tokenizer.convert_tokens_to_string(tokens), start: entities[0][:start], end: entities[-1][:end] } entity_group end |