| D13-1180 | to rank approach for automated | essay scoring | . The first set of experiments |
| D13-1180 | to rank approach for automated | essay scoring | is presented . Section 4 explains |
| D15-1049 | introduce related work on automated | essay scoring | , followed by domain adaptation |
| D15-1049 | Most of the current automated | essay scoring | ( AES ) systems are trained using |
| D10-1023 | Persing Davis Abstract Automated | essay scoring | is one of the most important |
| D13-1180 | to rank approach to automated | essay scoring | ( AES ) by directly incorporating |
| D13-1180 | Previous approaches for automated | essay scoring | ( AES ) learn a rating model |
| D13-1180 | suggesting its potential in automated | essay scoring | . Most existing research on AES |
| D13-1180 | research background of automated | essay scoring | and give a brief introduction |
| D13-1180 | not yet been used in automated | essay scoring | . 3 Automated Essay Scoring by |
| D12-1055 | VSM has been used in automated | essay scoring | . Attali and Burstein ( 2006 |
| D10-1023 | capability of SVMs for the task of | essay scoring | . While the vast majority of |
| D10-1023 | contrasts with previous work on | essay scoring | , where the corpus is annotated |
| D10-1023 | introduction of alignment kernels -- to | essay scoring | . We showed that each technique |
| D13-1180 | scoring . 1 Introduction Automated | essay scoring | utilizes the NLP techniques to |
| D13-1180 | been widely used in automated | essay scoring | ( Shermis and Burstein , 2002 |
| D13-1180 | approach , ranking SVM , to automated | essay scoring | and achieve better performance |
| C02-2023 | Burstein et al ) focus on holistic | essay scoring | . Even so , systems such as PEG |
| D13-1180 | proposed method for automated | essay scoring | . 1 Introduction Automated essay |
| D15-1049 | Domain Adaptation for Automated | Essay Scoring | Correlated Linear Regression |
