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Quality Control for Crowdsourced Hierarchical Classification.

, , and . ICDM, page 937-942. IEEE Computer Society, (2015)

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Toward Comprehensive Understanding of a Sentiment Based on Human Motives., and . ACL (1), page 4672-4677. Association for Computational Linguistics, (2019)A Computational Approach to Quantifying Grammaticization of English Deverbal Prepositions., , , and . LREC/COLING, page 211-220. ELRA and ICCL, (2024)What A Sunny Day â˜": Toward Emoji-Sensitive Irony Detection., , , and . W-NUT@EMNLP, page 212-216. Association for Computational Linguistics, (2019)Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort., , , , , , and . COLING, page 70-82. Association for Computational Linguistics, (2018)IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations., , , and . EMNLP, page 511-520. The Association for Computational Linguistics, (2016)Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment., , , and . EMNLP, page 15609-15622. Association for Computational Linguistics, (2023)Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings., , , , , and . EMNLP (1), page 4451-4464. Association for Computational Linguistics, (2020)Construction Grammar Provides Unique Insight into Neural Language Models., , , , , and . CoRR, (2023)LITE: Intent-based Task Representation Learning Using Weak Supervision., , , , , and . NAACL-HLT, page 2410-2424. Association for Computational Linguistics, (2022)Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion., , , and . COLING, page 1508-1520. Association for Computational Linguistics, (2018)