arXiv:1808.06853
Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing
원문 초록
In this paper, we present Par4Sem, a semantic writing aid tool based on adaptive paraphrasing. Unlike many annotation tools that are primarily used to collect training examples, Par4Sem is integrated into a real word application, in this case a writing aid tool, in order to collect training examples from usage data. Par4Sem is a tool, which supports an adaptive, iterative, and interactive process where the underlying machine learning models are updated for each iteration using new training examples from usage data. After motivating the use of ever-learning tools in NLP applications, we evaluate Par4Sem by adopting it to a text simplification task through mere usage.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
Automatic Input Rewriting Improves Translation with Large Language Models
Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
SiTSE: Sinhala Text Simplification Dataset and Evaluation
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore
토론
이 논문과 연결된 포럼 글이 아직 없습니다.