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  • SQUARE: A Large-Scale Dataset of Sensitive Questions and . . .
    the generated sentences will be subjective and category-consistent Since the dataset only considers subjective and value-judging questions, it is more c st-effective to eliminate ob-jective questions before human review We hence removed such questions using a fi
  • SQUAR : A Large-Scale Dataset of Sensitive Questions and . . .
    For safer models in such scenarios, we present the Sensitive Questions and Acceptable Re- sponse (SQUARE) dataset, a large-scale Ko- rean dataset of 49k sensitive questions with 42k acceptable and 46k non-acceptable re- sponses The dataset was constructed lever- aging HyperCLOVA in a human-in-the-loop manner based on real news headlines
  • Creating and validating the Fine-Grained Question . . . - PLOS
    In the domain of question subjectivity classification, there exists a need for detailed datasets that can foster advancements in Automatic Subjective Question Answering (ASQA) systems Addressing the prevailing research gaps, this paper introduces the Fine-Grained Question Subjectivity Dataset (FQSD), which comprises 10,000 questions The dataset distinguishes between subjective and objective
  • (PDF) Creating and validating the Fine-Grained Question . . .
    In the domain of question subjectivity classification, there exists a need for detailed datasets that can foster advancements in Automatic Subjective Question Answering (ASQA) systems Addressing
  • 5. Analyzing a Corpus - WAC Clearinghouse
    5 Analyzing a Corpus In Chapter 3, we wrote about the kinds of questions that can be asked of a corpus, ranging from those that track patterns across isolated texts to those that offer a picture of the corpus as a whole We also discussed the importance of articulating a theoretical framework to guide how we answer those questions Chapter 4 then detailed how to develop a corpus in which to
  • Chapter 26 Writing up a Corpus-Linguistic Paper - stgries. info
    As shown in this volume, conducting an empirical analysis of language using corpus data requires that corpus linguists first make informed decisions related to the type s of corpus, variables and methods needed to answer their research question s Next, they need to analyze (quantitatively) corpus data in a scientific and transparent way Importantly, all the steps taken and decisions made
  • English Corpora: most widely used online corpora. Billions of . . .
    Compare genres, dialects, time periods; use AI; search by PoS, collocates, synonyms, and much more





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