Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Chinese readability assessment using TF-IDF and SVM
Learning to Predict Readability using Diverse Linguistic Features
Improvement of Text Feature Selection Method Based on TFIDF
Aprobabilistic justification for using tf × idf termweighting in information retrieval
Semantic fingerprints-based author name disambiguation in Chinese documents
Corpus-based evaluation of Chinese text normalization
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity
Adapting the tf idf vector-space model to domain specific information retrieval
an information - theoretic perspective of tf - idf measures .
Estimating the selectivity of tf-idf based cosine similarity predicates
A Chinese OCR spelling check approach based on statistical language models
Sentence Extraction by tf/idf and Position Weighting from Newspaper Articles
TextRank: Bringing Order Into Texts
Using TF-IDF to Determine Word Relevance in Document Queries
News event evolution model based on the reading willingness and modified TF-IDF formula
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
Reading Level Assessment Using Support Vector Machines And Statistical Language Models
Chinese Textual Sentiment Analysis: Datasets, Resources and Tools
Unsupervised Classification of Sentiment and Objectivity in Chinese Text
Delta TFIDF : An Improved Feature Space for Sentiment Analysis
Automatically generating extraction patterns from untagged text
An Oral Supplementation Based on Hydrolyzed Collagen and Vitamins Improves Skin Elasticity and Dermis Echogenicity: A Clinical Placebo-Controlled Study
Automated grading and tutoring of SQL statements to improve student learning
Bounded Ideation Theory: A New Model of the Relationship Between Ideaquantity and Idea-quality during Ideation
la gangrene ischemique de la verge chez un patient diabetique : a propos d ' un cas .