paper-with-me

Papers

Towards Evaluating Narrative Quality In Student Writing

2018-01-01 · TACL 2018 1 · Swapna Somasundaran, Michael Flor, Martin Chodorow, Hillary Molloy, Binod Gyawali, Laura McCulla

This work lays the foundation for automated assessments of narrative quality in student writing. We first manually score essays for narrative-relevant traits and sub-traits, and measure inter-annotator agreement. We then explore linguistic features that are indicative of good narrative writing and use them to build an automated scoring system. Experiments show that our features are more effective in scoring specific aspects of narrative quality than a state-of-the-art feature set.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Evaluating Argumentative and Narrative Essays using Graphs

2016-12-01 · COLING 2016 12 · Swapna Somasundaran, Brian Riordan, Binod Gyawali, Su-Youn Yoon

This work investigates whether the development of ideas in writing can be captured by graph properties derived from the text. Focusing on student essays, we represent the essay as a graph, and encode a variety of graph p…

Lexical concreteness in narrative

2019-08-01 · WS 2019 8 · Michael Flor, Swapna Somasundaran

This study explores the relation between lexical concreteness and narrative text quality. We present a methodology to quantitatively measure lexical concreteness of a text. We apply it to a corpus of student stories, sco…

Relation

Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale

2026-05-28 · Canran Wang, Yuwen Yang, Zhen Wang, Ming Ma 외 arxiv

The double-edged sword of integrating Large Language Models (LLMs) requires an effective triadic collaboration mechanism among LLMs, teachers and students, especially for K-12 education. By developing a triadic collabora…

A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics

2025-12-01 · Suqing Liu, Runlong Ye, Christopher Eaton, Bogdan Simion 외 arxiv

To address the scalability of feedback in computer science while mitigating the privacy and cost limitations of commercial Large Language Models (LLMs), this study evaluates a locally hosted Small Language Model (SLM). W…

Understanding EFL Student Idea Generation Strategies for Creative Writing with NLG Tools

2022-06-04 · David James Woo, Yanzhi Wang, Hengky Susanto, Kai Guo

Natural language generation (NLG) is a process within artificial intelligence where computer systems produce human-comprehensible language texts from information. English as a foreign language (EFL) students' use of NLG …

Text Generation