Improving entity linking in Chinese domain by sense embedding based on graph clustering
Entity linking refers to linking a string in a text to corresponding entities in a knowledge base
through candidate entity generation and candidate entity ranking. It is of great significance to …
through candidate entity generation and candidate entity ranking. It is of great significance to …
Autosense model for word sense induction
Word sense induction (WSI), or the task of automatically discovering multiple senses or
meanings of a word, has three main challenges: domain adaptability, novel sense detection …
meanings of a word, has three main challenges: domain adaptability, novel sense detection …
Context expansion approach for graph-based word sense disambiguation
K Abdalgader, A Al Shibli - Expert Systems with Applications, 2021 - Elsevier
Word sense disambiguation is a process to correctly identify the meanings of words in a
given context. Being important in many natural language processing applications, this …
given context. Being important in many natural language processing applications, this …
CKG: dynamic representation based on context and knowledge graph
Recently, neural language representation models pre-trained on large corpus can capture
rich co-occurrence information and be fine-tuned in downstream tasks to improve the …
rich co-occurrence information and be fine-tuned in downstream tasks to improve the …
Context-based text-graph embeddings in word-sense induction tasks
L Sherstyuk, I Makarov - International Conference on Analysis of Images …, 2021 - Springer
Abstract Word Sense Induction (WSI) is the process of automatically discovering multiple
senses or meanings of a word. WSI task can be described as grouping contexts of a given …
senses or meanings of a word. WSI task can be described as grouping contexts of a given …
[PDF][PDF] Generating sense inventories for ambiguous arabic words.
The process of selecting the appropriate meaning of an ambigous word according to its
context is known as word sense disambiguation. In this research, we generate a number of …
context is known as word sense disambiguation. In this research, we generate a number of …
MSC+: Language pattern learning for word sense induction and disambiguation
Identifying the correct meaning of words in context or discovering new word senses is
particularly useful for several tasks such as question answering, information extraction …
particularly useful for several tasks such as question answering, information extraction …
Computational methods for graphite delamination using anionic surfactants to produce graphene
H Ahmadin, K Zare, M Monajjemi… - Revista de …, 2019 - ojs.uniquindio.edu.co
Hoy, utilizando la reducción térmica y química y la solubilidad, el óxido de grafeno se
produce a gran escala. Dado que existen varios métodos para producir grafeno, cada uno …
produce a gran escala. Dado que existen varios métodos para producir grafeno, cada uno …
[PDF][PDF] Graph-based Word Sense Disambiguation
D Carrara - sgametrio.page
L'uomo sie sempre espresso in modo ambiguo: molti termini sono riconducibili a significati
diversi a seconda del contesto in cui vengono inseriti. Per un umano capire il significato …
diversi a seconda del contesto in cui vengono inseriti. Per un umano capire il significato …
[PDF][PDF] AutoSense Model for Word Sense Induction
RKAS Hwang, M Song - 2019 - rktamplayo.github.io
Word sense induction (WSI), or the task of automatically discovering multiple senses or
meanings of a word, has three main challenges: domain adaptability, novel sense detection …
meanings of a word, has three main challenges: domain adaptability, novel sense detection …