Элемент Жауап Теориясы

method ID: itemresponsetheory

Related Papers

Building an Evaluation Scale using Item Response Theory

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Evaluation of NLP methods requires test- ing against a previously vetted gold-standard test set and reporting standard metrics (ac- curacy/precision/recall/F1). The current as- sumption is that all items in a …...

33664

Building an English Vocabulary Knowledge Dataset of Japanese English-as-a-Second-Language Learners Using Crowdsourcing

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

We introduce a freely available dataset for analyzing the English vocabulary of English-as-a-second language (ESL) learners. While ESL vocabulary tests have been extensively studied, few of the results have been …...

17948

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIncorporating Item Response Theory (IRT) into NLP tasks can provide valuable information about model performance and behavior. Traditionally, IRT models are learned using human response pattern (RP) data, presenting a …...

9079

Identifying Annotator Bias: A new IRT-based method for bias identification

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractA basic step in any annotation effort is the measurement of the Inter Annotator Agreement (IAA). An important factor that can affect the IAA is the presence of annotator bias. …...

3943

Word Discriminations for Vocabulary Inventory Prediction

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe aim of vocabulary inventory prediction is to predict a learner’s whole vocabulary based on a limited sample of query words. This paper approaches the problem starting from the 2-parameter …...

20215