A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
Deep learning for anomaly detection: A survey
R Chalapathy, S Chawla - arXiv preprint arXiv:1901.03407, 2019 - arxiv.org
Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …
research areas and application domains. The aim of this survey is two-fold, firstly we present …
Detecting formal thought disorder by deep contextualized word representations
J Sarzynska-Wawer, A Wawer, A Pawlak… - Psychiatry …, 2021 - Elsevier
Computational linguistics has enabled the introduction of objective tools that measure some
of the symptoms of schizophrenia, including the coherence of speech associated with formal …
of the symptoms of schizophrenia, including the coherence of speech associated with formal …
A review of automated speech and language features for assessment of cognitive and thought disorders
It is widely accepted that information derived from analyzing speech (the acoustic signal)
and language production (words and sentences) serves as a useful window into the health …
and language production (words and sentences) serves as a useful window into the health …
Comparative study of word embedding methods in topic segmentation
The vector representations of words are very useful in different natural language processing
tasks in order to capture the semantic meaning of words. In this context, the three known …
tasks in order to capture the semantic meaning of words. In this context, the three known …
[HTML][HTML] Considerations about learning Word2Vec
G Di Gennaro, A Buonanno, FAN Palmieri - The Journal of …, 2021 - Springer
Despite the large diffusion and use of embedding generated through Word2Vec, there are
still many open questions about the reasons for its results and about its real capabilities. In …
still many open questions about the reasons for its results and about its real capabilities. In …
[HTML][HTML] Quantified language connectedness in schizophrenia-spectrum disorders
Abstract Language abnormalities are a core symptom of schizophrenia-spectrum disorders
and could serve as a potential diagnostic marker. Natural language processing enables …
and could serve as a potential diagnostic marker. Natural language processing enables …
[HTML][HTML] Word sense disambiguation using cosine similarity collaborates with Word2vec and WordNet
K Orkphol, W Yang - Future Internet, 2019 - mdpi.com
Words have different meanings (ie, senses) depending on the context. Disambiguating the
correct sense is important and a challenging task for natural language processing. An …
correct sense is important and a challenging task for natural language processing. An …
The Semantic Scale Network: An online tool to detect semantic overlap of psychological scales and prevent scale redundancies.
Psychological measurement and theory are afflicted with an ongoing proliferation of new
constructs and scales. Given the often redundant nature of new scales, psychological …
constructs and scales. Given the often redundant nature of new scales, psychological …
Offensive language detection in Arabic social networks using evolutionary-based classifiers learned from fine-tuned embeddings
Social networks facilitate communication between people from all over the world.
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …