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socialmediaie
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SocialMediaIE-MetaCorpus-v1

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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ configs:
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+ - config_name: abusive-founta
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+ data_files:
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+ - path: data/ABUSIVE/Founta/test.json
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+ split: test
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+ - path: data/ABUSIVE/Founta/train.json
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+ split: train
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+ - path: data/ABUSIVE/Founta/validation.json
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+ split: validation
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+ - config_name: abusive-waseemsrw
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+ data_files:
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+ - path: data/ABUSIVE/WaseemSRW/test.json
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+ split: test
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+ - path: data/ABUSIVE/WaseemSRW/train.json
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+ split: train
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+ - path: data/ABUSIVE/WaseemSRW/validation.json
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+ split: validation
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+ - config_name: chunking-ritter
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+ data_files:
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+ - path: data/CHUNKING/Ritter/test.json
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+ split: test
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+ - path: data/CHUNKING/Ritter/train.json
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+ split: train
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+ - path: data/CHUNKING/Ritter/validation.json
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+ split: validation
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+ - config_name: ner-broad
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+ data_files:
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+ - path: data/NER/BROAD/test.json
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+ split: test
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+ - path: data/NER/BROAD/train.json
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+ split: train
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+ - path: data/NER/BROAD/validation.json
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+ split: validation
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+ - config_name: ner-finin
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+ data_files:
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+ - path: data/NER/Finin/test.json
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+ split: test
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+ - path: data/NER/Finin/train.json
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+ split: train
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+ - config_name: ner-hege
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+ data_files:
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+ - path: data/NER/Hege/test.json
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+ split: test
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+ - config_name: ner-msm2013
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+ data_files:
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+ - path: data/NER/MSM2013/test.json
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+ split: test
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+ - path: data/NER/MSM2013/train.json
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+ split: train
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+ - config_name: ner-multimodal
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+ data_files:
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+ - path: data/NER/MultiModal/test.json
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+ split: test
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+ - path: data/NER/MultiModal/train.json
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+ split: train
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+ - path: data/NER/MultiModal/validation.json
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+ split: validation
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+ - config_name: ner-neel2016
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+ data_files:
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+ - path: data/NER/NEEL2016/test.json
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+ split: test
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+ - path: data/NER/NEEL2016/train.json
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+ split: train
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+ - path: data/NER/NEEL2016/validation.json
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+ split: validation
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+ - config_name: ner-ritter
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+ data_files:
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+ - path: data/NER/Ritter/test.json
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+ split: test
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+ - path: data/NER/Ritter/train.json
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+ split: train
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+ - path: data/NER/Ritter/validation.json
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+ split: validation
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+ - config_name: ner-wnut2016
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+ data_files:
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+ - path: data/NER/WNUT2016/test.json
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+ split: test
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+ - path: data/NER/WNUT2016/train.json
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+ split: train
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+ - path: data/NER/WNUT2016/validation.json
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+ split: validation
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+ - config_name: ner-wnut2017
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+ data_files:
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+ - path: data/NER/WNUT2017/test.json
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+ split: test
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+ - path: data/NER/WNUT2017/train.json
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+ split: train
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+ - path: data/NER/WNUT2017/validation.json
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+ split: validation
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+ - config_name: ner-yodie
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+ data_files:
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+ - path: data/NER/YODIE/test.json
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+ split: test
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+ - path: data/NER/YODIE/train.json
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+ split: train
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+ - config_name: pos-dimsum2016
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+ data_files:
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+ - path: data/POS/DiMSUM2016/test.json
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+ split: test
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+ - path: data/POS/DiMSUM2016/train.json
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+ split: train
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+ - config_name: pos-foster
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+ data_files:
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+ - path: data/POS/Foster/test.json
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+ split: test
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+ - config_name: pos-lowlands
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+ data_files:
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+ - path: data/POS/lowlands/test.json
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+ split: test
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+ - config_name: pos-owoputi
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+ data_files:
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+ - path: data/POS/Owoputi/test.json
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+ split: test
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+ - path: data/POS/Owoputi/train.json
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+ split: train
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+ - path: data/POS/Owoputi/validation.json
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+ split: validation
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+ - config_name: pos-ritter
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+ data_files:
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+ - path: data/POS/Ritter/test.json
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+ split: test
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+ - path: data/POS/Ritter/train.json
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+ split: train
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+ - path: data/POS/Ritter/validation.json
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+ split: validation
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+ - config_name: pos-tweetbankv2
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+ data_files:
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+ - path: data/POS/Tweetbankv2/test.json
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+ split: test
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+ - path: data/POS/Tweetbankv2/train.json
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+ split: train
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+ - path: data/POS/Tweetbankv2/validation.json
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+ split: validation
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+ - config_name: pos-twitie
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+ data_files:
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+ - path: data/POS/TwitIE/test.json
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+ split: test
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+ - path: data/POS/TwitIE/validation.json
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+ split: validation
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+ - config_name: sentiment-airline
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+ data_files:
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+ - path: data/SENTIMENT/Airline/test.json
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+ split: test
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+ - path: data/SENTIMENT/Airline/train.json
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+ split: train
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+ - path: data/SENTIMENT/Airline/validation.json
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+ split: validation
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+ - config_name: sentiment-clarin
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+ data_files:
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+ - path: data/SENTIMENT/Clarin/test.json
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+ split: test
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+ - path: data/SENTIMENT/Clarin/train.json
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+ split: train
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+ - path: data/SENTIMENT/Clarin/validation.json
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+ split: validation
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+ - config_name: sentiment-gop
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+ data_files:
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+ - path: data/SENTIMENT/GOP/test.json
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+ split: test
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+ - path: data/SENTIMENT/GOP/train.json
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+ split: train
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+ - path: data/SENTIMENT/GOP/validation.json
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+ split: validation
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+ - config_name: sentiment-healthcare
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+ data_files:
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+ - path: data/SENTIMENT/Healthcare/test.json
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+ split: test
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+ - path: data/SENTIMENT/Healthcare/train.json
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+ split: train
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+ - path: data/SENTIMENT/Healthcare/validation.json
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+ split: validation
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+ - config_name: sentiment-obama
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+ data_files:
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+ - path: data/SENTIMENT/Obama/test.json
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+ split: test
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+ - path: data/SENTIMENT/Obama/train.json
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+ split: train
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+ - path: data/SENTIMENT/Obama/validation.json
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+ split: validation
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+ - config_name: sentiment-semeval
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+ data_files:
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+ - path: data/SENTIMENT/SemEval/test.json
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+ split: test
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+ - path: data/SENTIMENT/SemEval/train.json
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+ split: train
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+ - path: data/SENTIMENT/SemEval/validation.json
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+ split: validation
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+ - config_name: supersense-johannsen2014
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+ data_files:
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+ - path: data/SUPERSENSE/Johannsen2014/test.json
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+ split: test
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+ - config_name: supersense-ritter
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+ data_files:
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+ - path: data/SUPERSENSE/Ritter/test.json
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+ split: test
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+ - path: data/SUPERSENSE/Ritter/train.json
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+ split: train
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+ - path: data/SUPERSENSE/Ritter/validation.json
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+ split: validation
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+ - config_name: uncertainity-riloff
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+ data_files:
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+ - path: data/UNCERTAINITY/Riloff/test.json
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+ split: test
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+ - path: data/UNCERTAINITY/Riloff/train.json
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+ split: train
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+ - path: data/UNCERTAINITY/Riloff/validation.json
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+ split: validation
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+ - config_name: uncertainity-swamy
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+ data_files:
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+ - path: data/UNCERTAINITY/Swamy/test.json
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+ split: test
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+ - path: data/UNCERTAINITY/Swamy/train.json
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+ split: train
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+ - path: data/UNCERTAINITY/Swamy/validation.json
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+ split: validation
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  ---
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+
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+ # SocialMediaIE - Social Media Information Extraction
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+
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+ # List of datasets used for training SocialMediaIE
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+
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+ - [Dataset referencs](#dataset-referencs)
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+ * [Tagging datasets](#tagging-datasets)
226
+ - [Dataset statistics](#dataset-statistics)
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+ * [Sentiment](#sentiment)
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+ * [Abusive](#abusive)
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+ * [Uncertainity](#uncertainity)
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+ * [Part of Speech Tagging](#part-of-speech-tagging)
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+ * [Named Entity Recognition](#named-entity-recognition)
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+ * [Chunking](#chunking)
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+ * [Supersense Tagging](#supersense-tagging)
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+ - [Dataset references](#dataset-references)
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+
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+ <small><i><a href='http://ecotrust-canada.github.io/markdown-toc/'>Table of contents generated with markdown-toc</a></i></small>
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+
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+
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+
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+ ## Dataset referencs
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+
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+ ### Tagging datasets
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+
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+ * **POS tagging:** [17,18] (OW), [7] (TIE), [20] (RT), [15](TB), [22] (DS), [12] (FS), and [12,13] (LW).
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+ * **NER:** [20] (RT), [23] (W16), [6] (W17), [9] (FN), [10] (HG),and [4] (BR), [24] (MM), [11] (YD), [21] (we do not evaluate on this) and [1] (MSM).
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+ * **Chunking:** [20] (RT) dataset.
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+ * **Supersense tagging:** [20] (RT) dataset, the [14] (JH) dataset.
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+
249
+
250
+
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+ ## Dataset statistics
252
+
253
+ ### Sentiment
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+
255
+ | | | tokens | tweets | vocab |
256
+ |------------ |------- |-------- |-------- |------- |
257
+ | data | split | | | |
258
+ | Airline | dev | 20079 | 981 | 3273 |
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+ | | test | 50777 | 2452 | 5630 |
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+ | | train | 182040 | 8825 | 11697 |
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+ | Clarin | dev | 80672 | 4934 | 15387 |
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+ | | test | 205126 | 12334 | 31373 |
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+ | | train | 732743 | 44399 | 84279 |
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+ | GOP | dev | 16339 | 803 | 3610 |
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+ | | test | 41226 | 2006 | 6541 |
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+ | | train | 148358 | 7221 | 14342 |
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+ | Healthcare | dev | 15797 | 724 | 3304 |
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+ | | test | 16022 | 717 | 3471 |
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+ | | train | 14923 | 690 | 3511 |
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+ | Obama | dev | 3472 | 209 | 1118 |
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+ | | test | 8816 | 522 | 2043 |
272
+ | | train | 31074 | 1877 | 4349 |
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+ | SemEval | dev | 105108 | 4583 | 14468 |
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+ | | test | 528234 | 23103 | 43812 |
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+ | | train | 281468 | 12245 | 29673 |
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+
277
+
278
+ ### Abusive
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+
280
+ | | | tokens | tweets | vocab |
281
+ |----------- |------- |-------- |-------- |-------- |
282
+ | data | split | | | |
283
+ | Founta | dev | 102534 | 4663 | 22529 |
284
+ | | test | 256569 | 11657 | 44540 |
285
+ | | train | 922028 | 41961 | 118349 |
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+ | WaseemSRW | dev | 25588 | 1464 | 5907 |
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+ | | test | 64893 | 3659 | 10646 |
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+ | | train | 234550 | 13172 | 23042 |
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+
290
+
291
+ ### Uncertainity
292
+
293
+ | | | tokens | tweets | vocab |
294
+ |-------- |------- |-------- |-------- |------- |
295
+ | data | split | | | |
296
+ | Riloff | dev | 2126 | 145 | 1002 |
297
+ | | test | 5576 | 362 | 1986 |
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+ | | train | 19652 | 1301 | 5090 |
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+ | Swamy | dev | 1597 | 73 | 738 |
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+ | | test | 3909 | 183 | 1259 |
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+ | | train | 14026 | 655 | 2921 |
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+
303
+
304
+ ### Part of Speech Tagging
305
+
306
+ | | | labels | labels_unique | sequences | tokens_unique | total_tokens |
307
+ |------------- |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |--------------- |----------- |--------------- |-------------- |
308
+ | data_key | split_prefix | | | | | |
309
+ | Owoputi | train | [!, #, $, &, ,, @, A, D, E, G, L, M, N, O, P, R, S, T, U, V, X, Y, Z, ^, ~] | 25 | 1547 | 6572 | 22326 |
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+ | | dev | [!, #, $, &, ,, @, A, D, E, G, L, N, O, P, R, S, T, U, V, X, Z, ^, ~] | 23 | 327 | 2036 | 4823 |
311
+ | | test | [!, #, $, &, ,, @, A, D, E, G, L, N, O, P, R, S, T, U, V, X, Z, ^, ~] | 23 | 500 | 2754 | 7152 |
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+ | Foster | test | [ADJ, ADP, ADV, CCONJ, DET, NOUN, NUM, PART, PRON, PUNCT, VERB, X] | 12 | 250 | 1068 | 2841 |
313
+ | TwitIE | dev | ['', (, ), ,, :, CC, CD, DT, FW, HT, IN, JJ, JJR, JJS, MD, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP$, PUNCT, RB, RBR, RBS, RP, RT, SYM, TO, UH, URL, USR, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WRB] | 43 | 269 | 1229 | 2998 |
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+ | | test | ['', (, ), ,, :, CC, CD, DT, EX, FW, HT, IN, JJ, JJR, JJS, MD, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP#, PUNCT, RB, RBR, RBS, RP, RT, SYM, TO, UH, URL, USR, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WRB] | 45 | 632 | 3539 | 12196 |
315
+ | dev | ['', (, ), ,, :, CC, CD, DT, HT, IN, JJ, JJR, JJS, MD, NN, NNP, NNS, POS, PRP, PRP#, PUNCT, RB, RBR, RP, RT, SYM, TO, UH, URL, USR, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WRB] | 41 | 84 | 735 | 1627 | |
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+ | lowlands | test | [ADJ, ADP, ADV, CCONJ, DET, NOUN, NUM, PART, PRON, PUNCT, VERB, X] | 12 | 1318 | 4805 | 19794 |
317
+ | Tweetbankv2 | dev | [ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X] | 17 | 710 | 3271 | 11759 |
318
+ | | train | [ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X] | 17 | 1639 | 5632 | 24753 |
319
+ | | test | [ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X] | 17 | 1201 | 4699 | 19095 |
320
+ | DiMSUM2016 | train | [ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X] | 17 | 4799 | 9113 | 73826 |
321
+ | | test | [ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X] | 17 | 1000 | 4010 | 16500 |
322
+
323
+
324
+ ### Named Entity Recognition
325
+
326
+ | | | boundaries | labels | labels_unique | sequences | tokens_unique | total_tokens |
327
+ |------------ |-------------- |------------ |--------------------------------------------------------------------------------------------------------------------------- |--------------- |----------- |--------------- |-------------- |
328
+ | data_key | split_prefix | | | | | | |
329
+ | Finin | train | [I, B, O] | [LOC, PER, ORG] | 3 | 10000 | 19663 | 172188 |
330
+ | | test | [I, B, O] | [LOC, PER, ORG] | 3 | 5369 | 13027 | 97525 |
331
+ | Hege | test | [I, B, O] | [LOC, PER, ORG] | 3 | 1545 | 4552 | 20664 |
332
+ | Ritter | train | [I, B, O] | [COMPANY, OTHER, FACILITY, PERSON, MOVIE, MUSICARTIST, GEO-LOC, TVSHOW, PRODUCT, SPORTSTEAM] | 10 | 1900 | 7695 | 36936 |
333
+ | | dev | [I, B, O] | [COMPANY, OTHER, PERSON, FACILITY, MOVIE, MUSICARTIST, GEO-LOC, TVSHOW, PRODUCT, SPORTSTEAM] | 10 | 240 | 1731 | 4612 |
334
+ | | test | [I, B, O] | [COMPANY, OTHER, PERSON, FACILITY, MOVIE, MUSICARTIST, GEO-LOC, TVSHOW, PRODUCT, SPORTSTEAM] | 10 | 254 | 1776 | 4921 |
335
+ | YODIE | train | [I, B, O] | [COMPANY, OTHER, PERSON, LOCATION, FACILITY, MOVIE, MUSICARTIST, GEO-LOC, UNK, TVSHOW, PRODUCT, SPORTSTEAM, ORGANIZATION] | 13 | 396 | 2554 | 7905 |
336
+ | | test | [I, B, O] | [COMPANY, OTHER, FACILITY, LOCATION, PERSON, MOVIE, MUSICARTIST, GEO-LOC, UNK, TVSHOW, PRODUCT, SPORTSTEAM, ORGANIZATION] | 13 | 397 | 2578 | 8032 |
337
+ | WNUT2016 | train | [I, B, O] | [COMPANY, OTHER, FACILITY, PERSON, MOVIE, MUSICARTIST, GEO-LOC, TVSHOW, PRODUCT, SPORTSTEAM] | 10 | 2394 | 9068 | 46469 |
338
+ | | test | [I, B, O] | [COMPANY, OTHER, PERSON, FACILITY, MOVIE, MUSICARTIST, GEO-LOC, TVSHOW, PRODUCT, SPORTSTEAM] | 10 | 3850 | 16012 | 61908 |
339
+ | | dev | [I, B, O] | [COMPANY, OTHER, FACILITY, PERSON, MOVIE, MUSICARTIST, GEO-LOC, TVSHOW, PRODUCT, SPORTSTEAM] | 10 | 1000 | 5563 | 16261 |
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+ | WNUT2017 | train | [I, B, O] | [GROUP, CORPORATION, PERSON, LOCATION, PRODUCT, CREATIVE-WORK] | 6 | 3394 | 12840 | 62730 |
341
+ | | dev | [I, B, O] | [GROUP, CORPORATION, PERSON, LOCATION, PRODUCT, CREATIVE-WORK] | 6 | 1009 | 3538 | 15733 |
342
+ | | test | [I, B, O] | [GROUP, CORPORATION, PERSON, LOCATION, PRODUCT, CREATIVE-WORK] | 6 | 1287 | 5759 | 23394 |
343
+ | MSM2013 | train | [I, B, O] | [LOC, MISC, PER, ORG] | 4 | 2815 | 8514 | 51521 |
344
+ | | test | [I, B, O] | [LOC, PER, ORG, MISC] | 4 | 1450 | 5701 | 29089 |
345
+ | NEEL2016 | train | [I, B, O] | [PERSON, THING, LOCATION, EVENT, PRODUCT, ORGANIZATION, CHARACTER] | 7 | 2588 | 9731 | 51669 |
346
+ | | dev | [I, B, O] | [PERSON, LOCATION, THING, EVENT, PRODUCT, ORGANIZATION, CHARACTER] | 7 | 88 | 762 | 1647 |
347
+ | | test | [I, B, O] | [PERSON, THING, LOCATION, EVENT, PRODUCT, ORGANIZATION, CHARACTER] | 7 | 2663 | 9894 | 47488 |
348
+ | BROAD | train | [I, B, O] | [LOC, PER, ORG] | 3 | 5605 | 19523 | 90060 |
349
+ | | dev | [I, B, O] | [LOC, PER, ORG] | 3 | 933 | 5312 | 15169 |
350
+ | | test | [I, B, O] | [LOC, PER, ORG] | 3 | 2802 | 11772 | 45159 |
351
+ | MultiModal | train | [I, B, O] | [LOC, PER, ORG, MISC] | 4 | 4000 | 20221 | 64439 |
352
+ | | dev | [I, B, O] | [LOC, MISC, PER, ORG] | 4 | 1000 | 6832 | 16178 |
353
+ | | test | [I, B, O] | [LOC, PER, ORG, MISC] | 4 | 3257 | 17381 | 52822 |
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+
355
+
356
+ ### Chunking
357
+
358
+ | | | boundaries | labels | labels_unique | sequences | tokens_unique | total_tokens |
359
+ |---------- |-------------- |------------ |-------------------------------------------------- |--------------- |----------- |--------------- |-------------- |
360
+ | data_key | split_prefix | | | | | | |
361
+ | Ritter | train | [I, B, O] | [ADJP, PP, INTJ, ADVP, PRT, NP, SBAR, VP, CONJP] | 9 | 551 | 3158 | 10584 |
362
+ | | dev | [I, B, O] | [ADJP, PP, INTJ, ADVP, PRT, NP, SBAR, VP] | 8 | 118 | 994 | 2317 |
363
+ | | test | [I, B, O] | [ADJP, PP, INTJ, ADVP, PRT, NP, SBAR, VP] | 8 | 119 | 988 | 2310 |
364
+
365
+
366
+ ### Supersense Tagging
367
+
368
+ | | | boundaries | labels | labels_unique | sequences | tokens_unique | total_tokens |
369
+ |--------------- |-------------- |------------ |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |--------------- |----------- |--------------- |-------------- |
370
+ | data_key | split_prefix | | | | | | |
371
+ | Ritter | train | [I, B, O] | [NOUN.BODY, NOUN.STATE, NOUN.ARTIFACT, NOUN.ATTRIBUTE, NOUN.FOOD, NOUN.TOPS, NOUN.COGNITION, NOUN.EVENT, NOUN.OBJECT, NOUN.MOTIVE, NOUN.GROUP, VERB.COMMUNICATION, NOUN.PHENOMENON, VERB.POSSESSION, VERB.COMPETITION, NOUN.POSSESSION, NOUN.FEELING, VERB.SOCIAL, NOUN.ANIMAL, VERB.CREATION, VERB.CONSUMPTION, VERB.PERCEPTION, VERB.CONTACT, VERB.WEATHER, VERB.BODY, NOUN.LOCATION, NOUN.QUANTITY, NOUN.SUBSTANCE, NOUN.RELATION, NOUN.TIME, NOUN.PERSON, VERB.COGNITION, VERB.EMOTION, NOUN.PLANT, VERB.STATIVE, VERB.MOTION, NOUN.COMMUNICATION, NOUN.PROCESS, NOUN.ACT, VERB.CHANGE] | 40 | 551 | 3174 | 10652 |
372
+ | | dev | [I, B, O] | [NOUN.BODY, NOUN.STATE, NOUN.ARTIFACT, NOUN.ATTRIBUTE, NOUN.FOOD, NOUN.COGNITION, NOUN.EVENT, NOUN.OBJECT, NOUN.MOTIVE, NOUN.GROUP, VERB.COMMUNICATION, NOUN.PHENOMENON, VERB.COMPETITION, VERB.POSSESSION, NOUN.POSSESSION, NOUN.FEELING, VERB.SOCIAL, NOUN.ANIMAL, VERB.CREATION, VERB.CONSUMPTION, VERB.PERCEPTION, VERB.CONTACT, VERB.BODY, NOUN.LOCATION, NOUN.QUANTITY, NOUN.SUBSTANCE, NOUN.RELATION, NOUN.TIME, VERB.COGNITION, NOUN.PERSON, VERB.EMOTION, NOUN.PLANT, VERB.STATIVE, VERB.MOTION, NOUN.COMMUNICATION, NOUN.ACT, VERB.CHANGE] | 37 | 118 | 1014 | 2242 |
373
+ | | test | [I, B, O] | [NOUN.BODY, NOUN.STATE, NOUN.ARTIFACT, NOUN.ATTRIBUTE, NOUN.FOOD, NOUN.TOPS, NOUN.COGNITION, NOUN.EVENT, NOUN.OBJECT, NOUN.MOTIVE, NOUN.SHAPE, NOUN.GROUP, VERB.COMMUNICATION, NOUN.PHENOMENON, VERB.POSSESSION, NOUN.FEELING, NOUN.POSSESSION, VERB.COMPETITION, VERB.SOCIAL, NOUN.ANIMAL, VERB.CREATION, VERB.CONSUMPTION, VERB.PERCEPTION, VERB.CONTACT, VERB.WEATHER, VERB.BODY, NOUN.LOCATION, NOUN.QUANTITY, NOUN.SUBSTANCE, NOUN.RELATION, NOUN.TIME, NOUN.PERSON, VERB.COGNITION, VERB.EMOTION, VERB.STATIVE, VERB.MOTION, NOUN.COMMUNICATION, NOUN.PROCESS, NOUN.ACT, VERB.CHANGE] | 40 | 118 | 1011 | 2291 |
374
+ | Johannsen2014 | test | [I, B, O] | [NOUN.BODY, NOUN.STATE, NOUN.ARTIFACT, NOUN.ATTRIBUTE, NOUN.FOOD, NOUN.COGNITION, NOUN.EVENT, NOUN.OBJECT, NOUN.SHAPE, NOUN.GROUP, VERB.COMMUNICATION, NOUN.PHENOMENON, VERB.COMPETITION, VERB.POSSESSION, NOUN.FEELING, NOUN.POSSESSION, VERB.SOCIAL, NOUN.ANIMAL, VERB.CREATION, VERB.CONSUMPTION, VERB.PERCEPTION, VERB.CONTACT, VERB.BODY, NOUN.LOCATION, NOUN.QUANTITY, NOUN.SUBSTANCE, NOUN.RELATION, NOUN.TIME, NOUN.PERSON, VERB.COGNITION, VERB.EMOTION, VERB.STATIVE, VERB.MOTION, NOUN.COMMUNICATION, NOUN.PROCESS, NOUN.ACT, VERB.CHANGE] | 37 | 200 | 1249 | 3064 |
375
+
376
+
377
+ ## Dataset references
378
+
379
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+ * [2] Richard A. Caruana. 1993. Multitask Learning: A Knowledge-Based Source ofInductive Bias. InMachine Learning Proceedings 1993. Elsevier, 41–48. https://doi.org/10.1016/b978-1-55860-307-3.50012-5
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+ * [3] Ronan Collbert, Jason Weston, LÃľon Bottou, Michael Karlen, Koray Kavukcuoglu,and Pavel Kuksa. 2011. Natural Language Processing (Almost) from Scratch.Journal ofMachine Learning Research12 (2 2011), 2493–2537. http://dl.acm.org/citation.cfm?id=2078186
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+ * [4] Leon Derczynski, Kalina Bontcheva, and Ian Roberts. 2016.Broad Twit-ter Corpus: A Diverse Named Entity Recognition Resource.Proceedings ofCOLING 2016, the 26th International Conference on Computational Linguis-tics: Technical Papers(2016), 1169–1179.http://aclanthology.info/papers/broad-twitter-corpus-a-diverse-named-entity-recognition-resource
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+ * [7] Leon Derczynski, Alan Ritter, Sam Clark, and Kalina Bontcheva. 2013. Twit-ter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data.Pro-ceedings of the International Conference Recent Advances in Natural LanguageProcessing RANLP 2013(2013), 198–206.http://aclanthology.info/papers/twitter-part-of-speech-tagging-for-all-overcoming-sparse-and-noisy-data
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+ * [8] Jacob Eisenstein. 2013. What to do about bad language on the internet. InProceedings of the 2013 Conference of the North American Chapter of the Associationfor Computational Linguistics: Human Language Technologies. Association forComputational Linguistics, Atlanta, Georgia, 359–369. https://www.aclweb.org/anthology/N13-1037
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