paper-with-me

홈 › Papers

Automated Content Scoring of Spoken Responses in an Assessment for Teachers of English

2013-06-01 · WS 2013 6 · Klaus Zechner, Xinhao Wang
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Text Matching

Similar Papers 제목 키워드 기반

Prompt-based Content Scoring for Automated Spoken Language Assessment

2013-06-01 · WS 2013 6 · Keelan Evanini, Shasha Xie, Klaus Zechner
Speech Recognition

Atypical Inputs in Educational Applications

2018-06-01 · NAACL 2018 6 · Su-Youn Yoon, Aoife Cahill, Anastassia Loukina, Klaus Zechner 외

In large-scale educational assessments, the use of automated scoring has recently become quite common. While the majority of student responses can be processed and scored without difficulty, there are a small number of r…

Speech Recognition

Application of an Automatic Plagiarism Detection System in a Large-scale Assessment of English Speaking Proficiency

2019-08-01 · ACL 2019 8

This study aims to build an automatic system for the detection of plagiarized spoken responses in the context of an assessment of English speaking proficiency for non-native speakers. Classification models were trained t…

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech

2019-06-01 · WS 2019 6 · Xinhao Wang, Binod Gyawali, James V. Bruno, Hillary R. Molloy 외

This study aims to model the discourse structure of spontaneous spoken responses within the context of an assessment of English speaking proficiency for non-native speakers. Rhetorical Structure Theory (RST) has been com…

Building Better Open-Source Tools to Support Fairness in Automated Scoring

2017-04-01 · WS 2017 4 · Nitin Madnani, Anastassia Loukina, Alina von Davier, Jill Burstein 외

Automated scoring of written and spoken responses is an NLP application that can significantly impact lives especially when deployed as part of high-stakes tests such as the GRE® and the TOEFL®. Ethical considerations re…

Fairness