Sentiment analysis for Urdu online reviews using deep learning models

1 code implementation • Expert Systems 2021 • qra Safder, Zainab Mahmood, Raheem Sarwar, Saeed-Ul Hassan, Farooq Zaman, Rao Muhammad Adeel Nawab, Faisal Bukhari, Rabeeh Ayaz Abbasi, Salem Alelyani, Naif Radi Aljohani, Raheel Nawaz

The objectives of this work are bifold (a) the creation of a human-annotated corpus for the research of sentiment analysis in Urdu; and (b) measurement of up-to-date model performance using a corpus.

Binary Classification Classification +2

UPPC - Urdu Paraphrase Plagiarism Corpus

no code implementations • LREC 2016 • Muhammad Sharjeel, Paul Rayson, Rao Muhammad Adeel Nawab

Paraphrase plagiarism is a significant and widespread problem and research shows that it is hard to detect.

Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages

1 code implementation • LREC 2016 • Scott Piao, Paul Rayson, Dawn Archer, Francesca Bianchi, Carmen Dayrell, Mahmoud El-Haj, Ricardo-Mar{\'\i}a Jim{\'e}nez, Dawn Knight, Michal K{\v{r}}en, Laura L{\"o}fberg, Rao Muhammad Adeel Nawab, Jawad Shafi, Phoey Lee Teh, Olga Mudraya

Lexical coverage is an important factor concerning the quality of the lexicons and the performance of the corpus annotation tools, and in this experiment we focus on evaluating the lexical coverage achieved by the multilingual lexicons and semantic annotation tools based on them.

Detecting Text Reuse with Modified and Weighted N-grams

no code implementations • SEMEVAL 2012 • Rao Muhammad Adeel Nawab, Mark Stevenson, Paul Clough

Language Modelling

Natural Language Descriptions of Visual Scenes Corpus Generation and Analysis

no code implementations • WS 2012 • Muhammad Usman Ghani Khan, Rao Muhammad Adeel Nawab, Yoshihiko Gotoh

Information Retrieval Machine Translation +1