no code implementations • SEMEVAL 2018 • Tariq Ahmad, Allan Ramsay, Hanady Ahmed
In this paper we present our contribution to SemEval-2018, a classifier for classifying multi-label emotions of Arabic and English tweets.
no code implementations • RANLP 2017 • Fahad Albogamy, Allan Ramsay
To facilitate cross-lingual studies, there is an increasing interest in identifying linguistic universals.
no code implementations • RANLP 2017 • Ali Almiman, Allan Ramsay
In this paper, we applied this mechanism using two dictionaries: The MacMillan Dictionary and WordNet definitions.
no code implementations • RANLP 2017 • Ali Almiman, Allan Ramsay
This system combines two non-deterministic algorithms: the approximate matching from the shallow approach and a theorem prover from the deep approach for handling multi-step inference tasks.
no code implementations • WS 2017 • Fahad Albogamy, Allan Ramsay, Hanady Ahmed
In this paper, we propose using a {``}bootstrapping{''} method for constructing a dependency treebank of Arabic tweets.
no code implementations • WS 2016 • Fahad Albogamy, Allan Ramsay
Stemming is an essential processing step in a wide range of high level text processing applications such as information extraction, machine translation and sentiment analysis.
no code implementations • LREC 2016 • Fahad Albogamy, Allan Ramsay
Part-of-Speech(POS) tagging is a key step in many NLP algorithms.
no code implementations • 8 Apr 2015 • Hayat Alrefaie, Allan Ramsay
The process of learning the Arabic for office is (mktb) is relatively simple and should be possible by means of simple repetition of the word.
no code implementations • 4 Feb 2014 • Maytham Alabbas, Allan Ramsay
We have extended the standard tree edit distance algorithm to deal with subtree transformation operations as well as single nodes.