Short text similarity measurement methods: a review

DW Prakoso, A Abdi, C Amrit - Soft Computing, 2021 - Springer
Short text similarity measurement methods play an important role in many applications
within natural language processing. This paper reviews the research literature on short text …

Literary detective work on the computer

MP Oakes - 2014 - torrossa.com
Computer stylometry is the computer analysis of writing style. This enables inferences to be
made, especially about the sometimes disputed provenance of texts, but also about the …

Apparatus, system and method for application-specific and customizable semantic similarity measurement

AB Carus, TJ DePlonty - US Patent 9,672,206, 2017 - Google Patents
The present invention relates to an apparatus system and method for creating a
customizable and application-specific semantic similarity utility that uses a single similarity …

[PDF][PDF] The computational linguistics summarization pilot task

K Jaidka, MK Chandrasekaran, BF Elizalde… - Proceedings of …, 2014 - researchgate.net
Abstract The Computational Linguistics (CL) Summarization Pilot Task was created to
encourage a community effort to address the research problem of summarizing research …

Query-specific subtopic clustering

S Kashyapi, L Dietz - Proceedings of the 22nd ACM/IEEE Joint …, 2022 - dl.acm.org
We propose a Query-Specific Siamese Similarity Metric (QS3M) for query-specific clustering
of text documents. Our approach uses fine-tuned BERT embeddings to train a non-linear …

A semantic logic-based approach to determine textual similarity

E Blanco, D Moldovan - Ieee/acm transactions on audio …, 2015 - ieeexplore.ieee.org
This paper presents a semantic logic-based approach to determine textual similarity. Three
logic form transformations taking into account semantic structure of sentences are proposed …

Retrieval of Answers from FAQ's using Word Embedding Techniques

V Battula, S Vuyyala, S Ambati - 2023 10th International …, 2023 - ieeexplore.ieee.org
FAQ System acts as a support system for users to resolve most commonly occurring
problems or issues. The way people describe their problem varies from region to region due …

[PDF][PDF] Методы автоматического установления смысловой близости документов на основе их концептуального анализа

АА Хорошилов - Труды XV Всерос. науч. конф.«Электронные …, 2013 - rcdl.ru
Аннотация Приведено современное представление о смысловой структуре текстов и
представлены результаты исследований проблемы автоматического установления …

[PDF][PDF] NTNU-CORE: Combining strong features for semantic similarity

E Marsi, H Moen, L Bungum, G Sizov… - … Joint Conference on …, 2013 - aclanthology.org
The paper outlines the work carried out at NTNU as part of the* SEM'13 shared task on
Semantic Textual Similarity, using an approach which combines shallow textual …

A feature-level attention-based deep neural network model for sentence embedding

A Bouraoui, S Jamoussi… - International Journal of …, 2022 - inderscienceonline.com
Building a model to represent the semantic of a sentence is crucial for going beyond a
sequence of words to a more abstract yet relevant representation. The relevance of such …