most citedHybrid Recommender Systems: A Systematic Literature Review

334 citations · 398 across the 7 of their papers we have counts for

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cs.CL2020

How Many Pages? Paper Length Prediction from the Metadata

Erion Çano, Ondřej Bojar

Being able to predict the length of a scientific paper may be helpful in numerous situations. This work defines the paper length prediction task as a regression problem and reports…

cs.CL202013 cited

A Data-driven Neural Network Architecture for Sentiment Analysis

Erion Çano, Maurizio Morisio

The fabulous results of convolution neural networks in image-related tasks, attracted attention of text mining, sentiment analysis and other text analysis researchers. It is howeve…

cs.CL20203 cited

Human or Machine: Automating Human Likeliness Evaluation of NLG Texts

Erion Çano, Ondřej Bojar

Automatic evaluation of various text quality criteria produced by data-driven intelligent methods is very common and useful because it is cheap, fast, and usually yields repeatable…

cs.CL2020

Quality of Word Embeddings on Sentiment Analysis Tasks

Erion Çano, Maurizio Morisio

Word embeddings or distributed representations of words are being used in various applications like machine translation, sentiment analysis, topic identification etc. Quality of wo…

cs.CL201914 cited

Keyphrase Generation: A Multi-Aspect Survey

Erion Çano, Ondřej Bojar

Extractive keyphrase generation research has been around since the nineties, but the more advanced abstractive approach based on the encoder-decoder framework and sequence-to-seque…

cs.CL2019

Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study

Erion Çano, Ondřej Bojar

Using data-driven models for solving text summarization or similar tasks has become very common in the last years. Yet most of the studies report basic accuracy scores only, and no…