[HTML][HTML] Word sense disambiguation: A comprehensive knowledge exploitation framework
Abstract Word Sense Disambiguation (WSD) has been a basic and on-going issue since its
introduction in natural language processing (NLP) community. Its application lies in many …
introduction in natural language processing (NLP) community. Its application lies in many …
What can ai do for me? evaluating machine learning interpretations in cooperative play
S Feng, J Boyd-Graber - … of the 24th International Conference on …, 2019 - dl.acm.org
Machine learning is an important tool for decision making, but its ethical and responsible
application requires rigorous vetting of its interpretability and utility: an understudied …
application requires rigorous vetting of its interpretability and utility: an understudied …
Improved word sense disambiguation using pre-trained contextualized word representations
C Hadiwinoto, HT Ng, WC Gan - arXiv preprint arXiv:1910.00194, 2019 - arxiv.org
Contextualized word representations are able to give different representations for the same
word in different contexts, and they have been shown to be effective in downstream natural …
word in different contexts, and they have been shown to be effective in downstream natural …
A synset relation-enhanced framework with a try-again mechanism for word sense disambiguation
M Wang, Y Wang - Proceedings of the 2020 conference on …, 2020 - aclanthology.org
Contextual embeddings are proved to be overwhelmingly effective to the task of Word Sense
Disambiguation (WSD) compared with other sense representation techniques. However …
Disambiguation (WSD) compared with other sense representation techniques. However …
Pictobert: Transformers for next pictogram prediction
Abstract Augmentative and Alternative Communication (AAC) boards are essential tools for
people with Complex Communication Needs (eg, a person with down's syndrome, autism, or …
people with Complex Communication Needs (eg, a person with down's syndrome, autism, or …
[图书][B] Semantic modeling for data
P Alexopoulos - 2020 - books.google.com
What value does semantic data modeling offer? As an information architect or data science
professional, let's say you have an abundance of the right data and the technology to extract …
professional, let's say you have an abundance of the right data and the technology to extract …
AMuSE-WSD: An all-in-one multilingual system for easy Word Sense Disambiguation
Over the past few years, Word Sense Disambiguation (WSD) has received renewed interest:
recently proposed systems have shown the remarkable effectiveness of deep learning …
recently proposed systems have shown the remarkable effectiveness of deep learning …
Sense-aware lexical sophistication indices and their relationship to second language writing quality
The relationship of lexical sophistication to second language (L2) production quality has
received much attention in the past few decades. Viewed as a multidimensional construct …
received much attention in the past few decades. Viewed as a multidimensional construct …
Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries
JA Robinson, RJ Sandow, R Piazza - Frontiers in artificial intelligence, 2023 - frontiersin.org
Using the Mass Observation corpus of 12th of May Diaries, we investigate concepts that are
characteristic of the first coronavirus lockdown in the UK. More specifically, we extract and …
characteristic of the first coronavirus lockdown in the UK. More specifically, we extract and …
Improving commonsense causal reasoning by adversarial training and data augmentation
Determining the plausibility of causal relations between clauses is a commonsense
reasoning task that requires complex inference ability. The general approach to this task is …
reasoning task that requires complex inference ability. The general approach to this task is …