A comprehensive review on feature set used for anaphora resolution

K Lata, P Singh, K Dutta - Artificial Intelligence Review, 2021 - Springer
Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …

Automatic text summarization: What has been done and what has to be done

A Aries, WK Hidouci - arXiv preprint arXiv:1904.00688, 2019 - arxiv.org
Summaries are important when it comes to process huge amounts of information. Their most
important benefit is saving time, which we do not have much nowadays. Therefore, a …

An iterative method for personalized results adaptation in cross-language search

D Zhou, W Zhao, X Wu, S Lawless, J Liu - Information Sciences, 2018 - Elsevier
On today's Web, people often desire to not only retrieve results which are of relevance to
their query, but for those results to be of particular relevance to them as an individual. In …

[PDF][PDF] C-hts: A concept-based hierarchical text segmentation approach

M Bayomi, S Lawless - Proceedings of the Eleventh International …, 2018 - aclanthology.org
Abstract Hierarchical Text Segmentation is the task of building a hierarchical structure out of
text to reflect its sub-topic hierarchy. Current text segmentation approaches are based upon …

Simplifying, reading, and machine translating health content: an empirical investigation of usability

A Rossetti - 2019 - doras.dcu.ie
Text simplification, through plain language (PL) or controlled language (CL), is adopted to
increase readability, comprehension and machine translatability of (health) content …

[PDF][PDF] RESOLUSI ANAFORA ARTIKEL BAHASA MELAYU BERASASKAN PEN GET AHUAN TERHAD DAN KELAS SEMANTIK

TYDUM IJAZAH, DFA AH, FTDANS MAKLUMAT… - core.ac.uk
Resolusi anafora (RA) merupakan suatu proses penyelesaian rujukan yang melibatkan kata
ganti nama (KGN). Ia merupakan fenomena yang berlaku dalam setiap bahasa dan …

[引用][C] Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems

M Bayomi - 2019 - Trinity College, Dublin Ireland