output
20072026
most citedGoogle Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories

2k citations

Showing cs.CLShow all

24 papers · 1 filter

cs.CL2026★ 1 cited

LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias

Filip J. Kucia, Anirban Chakraborty, Anna Wróblewska

Despite growing interest in using Large Language Models (LLMs) for educational assessment, it remains unclear how closely they align with human scoring. We present a systematic eva…

cs.CL2022★ 14 cited

SOLD: Sinhala Offensive Language Dataset

Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri +4

The widespread of offensive content online, such as hate speech and cyber-bullying, is a global phenomenon. This has sparked interest in the artificial intelligence (AI) and natura…

cs.CL2021★ 4 cited

Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems

Hadeel Saadany, Constantin Orasan, Emad Mohamed +1

In translating text where sentiment is the main message, human translators give particular attention to sentiment-carrying words. The reason is that an incorrect translation of suc…

cs.CL2021★ 3 cited

Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing

Necva Bölücü, Burcu Can

Semantic parsing provides a way to extract the semantic structure of a text that could be understood by machines. It is utilized in various NLP applications that require text compr…

cs.CL2021★ 34 cited

BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text

Hadeel Saadany, Constantin Orasan

Social media companies as well as authorities make extensive use of artificial intelligence (AI) tools to monitor postings of hate speech, celebrations of violence or profanity. Si…

cs.CL2021

Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation

Diptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe +3

Current Machine Translation (MT) systems achieve very good results on a growing variety of language pairs and datasets. However, they are known to produce fluent translation output…