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Found 21 papers, 3 papers with code
Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation
The performance measures are based on the simple idea that the more systems successfully correct an error, the easier it is considered to be.
Lensing reconstruction from a patchwork of polarization maps
The lensing signals involved in CMB polarization maps have already been measured with ground-based experiments such as SPTpol and POLARBEAR, and would become important as a probe of cosmological and astrophysical issues in the near future.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Exploring Methods for Generating Feedback Comments for Writing Learning
To shed light on these points, we investigate a wider range of methods for generating many feedback comments in this study.
Analyzing Semantic Change in Japanese Loanwords
We analyze semantic changes in loanwords from English that are used in Japanese (Japanese loanwords).
A POS Tagging Model Adapted to Learner English
Based on the discussion of possible causes of POS tagging errors in learner English, we show that deep neural models are particularly suitable for this.
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English
Part-of-speech (POS) tagging and chunking have been used in tasks targeting learner English; however, to the best our knowledge, few studies have evaluated their performance and no studies have revealed the causes of POS-tagging/chunking errors in detail.
Exploring the Influence of Spelling Errors on Lexical Variation Measures
This paper introduces and examines the hypothesis that lexical richness measures become unstable in learner English because of spelling errors.
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?
This study explores the necessity of performing cross-corpora evaluation for grammatical error correction (GEC) models.
Discriminative Analysis of Linguistic Features for Typological Study
We address the task of automatically estimating the missing values of linguistic features by making use of the fact that some linguistic features in typological databases are informative to each other.
Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring
This paper provides an analytical assessment of student short answer responses with a view to potential benefits in pedagogical contexts.
Toward a Task of Feedback Comment Generation for Writing Learning
We have tested three baseline methods on the dataset, showing that a simple neural retrieval-based method sets a baseline performance with an F-measure of 0. 34 to 0. 41.
Creating Corpora for Research in Feedback Comment Generation
In this paper, we report on datasets that we created for research in feedback comment generation {---} a task of automatically generating feedback comments such as a hint or an explanatory note for writing learning.
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
In this paper, we explore the capacity of a language model-based method for grammatical error detection in detail.
Shared Task on Feedback Comment Generation for Language Learners
In this paper, we propose a generation challenge called Feedback comment generation for language learners.
Revisiting Statistical Laws of Semantic Shift in Romance Cognates
This article revisits statistical relationships across Romance cognates between lexical semantic shift and six intra-linguistic variables, such as frequency and polysemy.
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
In this paper, we propose methods for discovering semantic differences in words appearing in two corpora based on the norms of contextualized word vectors.
