A survey on textual entailment: Benchmarks, approaches and applications
Textual Entailment Recognition (TER), also known as natural language inference, is a
crucial task in natural language processing that combines many fundamental aspects of …
crucial task in natural language processing that combines many fundamental aspects of …
Arabic textual entailment with word embeddings
N Almarwani, M Diab - Proceedings of the third arabic natural …, 2017 - aclanthology.org
Determining the textual entailment between texts is important in many NLP tasks, such as
summarization, question answering, and information extraction and retrieval. Various …
summarization, question answering, and information extraction and retrieval. Various …
Classification and analysis of Arabic natural language inference systems
M Ben-Sghaier, W Bakari, M Neji - Procedia Computer Science, 2020 - Elsevier
In natural language, the same meaning can be expressed by different texts. The process of
determining the inference relationship occurring between a text T and a hypothesis H is …
determining the inference relationship occurring between a text T and a hypothesis H is …
Alignment based approach for Arabic textual entailment
Abstract Recognizing Textual Entailment (RTE) is a task of Natural language processing
(NLP) in which two text fragments denoted Text (T) and Hypothesis (H) are processed by a …
(NLP) in which two text fragments denoted Text (T) and Hypothesis (H) are processed by a …
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach
X Feng, A Hunter - arXiv preprint arXiv:2405.01259, 2024 - arxiv.org
Natural language inference (NLI), also known as Recognizing Textual Entailment (RTE), is
an important aspect of natural language understanding. Most research now uses machine …
an important aspect of natural language understanding. Most research now uses machine …
Impact of gaussian noise for optimized support vector machine algorithm applied to medicare payment on raspberry pi
A relatively large dataset coupled with efficient but computationally slow machine learning
algorithm poses a great deal of challenge for Internet of Things (IoT). On the contrary, Deep …
algorithm poses a great deal of challenge for Internet of Things (IoT). On the contrary, Deep …
[HTML][HTML] Using Earth Mover's Distance and Word Embeddings for Recognizing Textual Entailment in Arabic
Recognizing Textual Entailment (RTE) is a task of Natural Language Processing (NLP), in
which two texts denoted TEXT (T) and HYPOTHESIS (H) are processed by a system to …
which two texts denoted TEXT (T) and HYPOTHESIS (H) are processed by a system to …
Investigating the Use of Different Recurrent Neural Networks for Natural Language Inference in Arabic
M Bensghaier, W Bakari, M Neji - 2023 - researchsquare.com
Natural language inference (NLI) is a subfield of natural language processing (NLP) that
involves determining the logical relationship between two pieces of text, usually a premise …
involves determining the logical relationship between two pieces of text, usually a premise …
Natural Language Inference for Arabic using Recurrent Neural Network and Word Embedding
M Bensghaier, W Bakari, M Neji - 2022 IEEE/ACS 19th …, 2022 - ieeexplore.ieee.org
The Natural Language Inference (NLI) task is a field of Natural Language Processing (NLP)
in which researchers try to find ways to decide about the inference relation between two …
in which researchers try to find ways to decide about the inference relation between two …
[PDF][PDF] An Approach to Image Classification Based on SURF Descriptors and Colour Histograms
R Alwanin - Diss. University of Manchester, 2014 - studentnet.cs.manchester.ac.uk
Image matching and classification is one of the challenging problems in the field of computer
vision and image processing. It is based on classifying images into semantic classes using …
vision and image processing. It is based on classifying images into semantic classes using …