Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Sadaf Abdul-Rauf"'
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing.
Continuous proliferation of hate speech in different languages on social media has drawn significant attention from researchers in the past decade. Detecting hate speech is indispensable irrespective of the scale of use of language as it inflicts hug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f0afcbfdbdeef9819661f07c81af0b
https://doi.org/10.1145/3580476
https://doi.org/10.1145/3580476
Autor:
Sadaf Abdul Rauf, Ramsha Saeed, Noorulain Saleem Khan, Kiran Habib, Pernia Gabrail, Fareeha Aftab
Publikováno v:
NUST Journal of Engineering Sciences, Vol 10, Iss 2 (2018)
Automatic Grammatical Error Correction is one of the most challenging and continuously evolving areas of linguistics which aims at automatically detecting and correcting the grammatical errors in the text. Such systems are specifically helpful for no
Externí odkaz:
https://doaj.org/article/3360ab80b7a541a287875e99d67dc1a8
Autor:
Muhammad Rizwan Riaz, Sadaf Abdul Rauf, Roland Lupoli, Muhammad Ather Rafi, Ghulam Jilani, Abdul Rauf Siddiqi
Publikováno v:
Ciência e Agrotecnologia, Vol 39, Iss 6, Pp 545-552 (2015)
ABSTRACT Potential of turmeric extract and its chemical fractions were evaluated to control the infestation of Bactrocera zonata peach fruit fly in a mortality-based bioassay. The turmeric extract (TE) was taken on Soxhelt's extraction apparatus and
Externí odkaz:
https://doaj.org/article/4f7e22a6b3ef4a8e974fd05584c2efc2
Publikováno v:
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09f105e3482695d06deb634aefb603f4
https://doi.org/10.1109/ibcast54850.2022.9990335
https://doi.org/10.1109/ibcast54850.2022.9990335
Autor:
Sadaf Abdul Rauf, Yusra Anees
Publikováno v:
Proceedings of the 1st Workshop on NLP for Positive Impact.
To build automated simplification systems, corpora of complex sentences and their simplified versions is the first step to understand sentence complexity and enable the development of automatic text simplification systems. We present a lexical and sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::897b03299e7e50b39a65b4b388acde1b
https://doi.org/10.18653/v1/2021.nlp4posimpact-1.7
https://doi.org/10.18653/v1/2021.nlp4posimpact-1.7
Publikováno v:
Proceedings of the The Fourth Widening Natural Language Processing Workshop.
Complex sentences are a hurdle in the learning process of language learners. Sentence simplification aims to convert a complex sentence into its simpler form such that it is easily comprehensible. To build such automated simplification systems, corpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9e3cadd34e029fc618033b58e7bb3b9
https://doi.org/10.18653/v1/2020.winlp-1.23
https://doi.org/10.18653/v1/2020.winlp-1.23
Publikováno v:
NGT@ACL
Recent studies have shown that translation quality of NMT systems can be improved by providing document-level contextual information. In general sentence-based NMT models are extended to capture contextual information from large-scale document-level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f0b73cf968d7cf057c74e1f116b6e8
https://doi.org/10.18653/v1/2020.ngt-1.27
https://doi.org/10.18653/v1/2020.ngt-1.27
Publikováno v:
Computer Speech & Language. 43:56-69
Phrase fragments have proved to be a valuable resource for increasing translation and natural language generation performance.A novel approach to find parallel fragments from comparable corpora is presented which is simple and efficient in processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df3ba7a4cb0e5148d4e658b8e75dde01
https://doi.org/10.1016/j.csl.2016.12.002
https://doi.org/10.1016/j.csl.2016.12.002
Autor:
Mohammed H. Geesi, Sadaf Abdul Rauf, Abdul Rauf Siddiqi, Faheem Ahmed Khan, Rana Rehan Khalid, Farooq Anwar, Usman Ali Ashfaq, Feng Xing, Muhammad Tahir ul Qamar, Arooma Maryam, Iqra Muneer
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Emergence of Dengue as one of the deadliest viral diseases prompts the need for development of effective therapeutic agents. Dengue virus (DV) exists in four different serotypes and infection caused by one serotype predisposes its host to another DV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd018ee457224aa7e12932368d74c3f5
http://europepmc.org/articles/PMC6363786
http://europepmc.org/articles/PMC6363786
Publikováno v:
WMT (3)
Transfer Learning and Selective data training are two of the many approaches being extensively investigated to improve the quality of Neural Machine Translation systems. This paper presents a series of experiments by applying transfer learning and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3112fa2c902287ada919652a8f78c5c3
https://doi.org/10.18653/v1/w19-5419
https://doi.org/10.18653/v1/w19-5419