research
∙
01/17/2023
The Recent Advances in Automatic Term Extraction: A survey
Automatic term extraction (ATE) is a Natural Language Processing (NLP) t...
share
research
∙
12/12/2022
Ensembling Transformers for Cross-domain Automatic Term Extraction
Automatic term extraction plays an essential role in domain language und...
research
∙
03/31/2022
A bilingual approach to specialised adjectives through word embeddings in the karstology domain
We present an experiment in extracting adjectives which express a specif...
research
∙
02/14/2022
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?
Keyword extraction is the task of retrieving words that are essential to...
research
∙
01/31/2021
Extending Neural Keyword Extraction with TF-IDF tagset matching
Keyword extraction is the task of identifying words (or multi-word expre...
research
∙
07/30/2020
COVID-19 therapy target discovery with context-aware literature mining
The abundance of literature related to the widespread COVID-19 pandemic ...
research
∙
03/20/2020
TNT-KID: Transformer-based Neural Tagger for Keyword Identification
With growing amounts of available textual data, development of algorithm...
research
∙
01/18/2020
Capturing Evolution in Word Usage: Just Add More Clusters?
The way the words are used evolves through time, mirroring cultural or t...
research
∙
12/02/2019
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
We propose a new method that leverages contextual embeddings for the tas...
research
∙
07/26/2019
Supervised and unsupervised neural approaches to text readability
We present a set of novel neural supervised and unsupervised approaches ...
research
∙
02/01/2019
