Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Algorithms | 2 |
| Computer Software | 2 |
| Natural Language Processing | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Computer Assisted Testing | 1 |
| Connected Discourse | 1 |
| Documentation | 1 |
| English | 1 |
| Graphs | 1 |
| Information Retrieval | 1 |
| More ▼ | |
Source
| Grantee Submission | 2 |
Author
| Dascalu, Mihai | 2 |
| McNamara, Danielle S. | 2 |
| Allen, Laura K. | 1 |
| Botarleanu, Robert-Mihai | 1 |
| Cioaca, Valentin Sergiu | 1 |
| Crossley, Scott Andrew | 1 |
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full text
Direct linkBotarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2021
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale.…
Descriptors: Computer Assisted Testing, Scoring, Natural Language Processing, Computer Software
Cioaca, Valentin Sergiu; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source "ReaderBench" framework, which can be retrofit to cover more than 50 languages. While considering the…
Descriptors: Documentation, Computer Software, Open Source Technology, Algorithms
