#text mining

So, ITHAKA (JSTOR's parent nonprofit org) now has a new service called Constellate, and in it you can do data analysis, among other things. Not wanting to do what we're really supposed to be doing right now, we thought we'd check out how Dracula performed against Frankenstein, and to our surprise, the monster gets A LOT more mentions in scholarly literature than our Transylvanian Count. Y'all are a smart bunch, so feel free to do something less frivolous (or at least more interesting) at Constellate.org. All you need to get started is your free JSTOR login (or you can create one if you haven't yet).

A Review on Language Models as Knowledge Bases

The family of recent typical PTMs (large-scale pre-trained models), including both pre-trained language models and multimodal models

Knowledge Management System combining different NLP methodologies to construct an end-to-end pipeline

Attention mechanisms have transformed the landscape of machine translation, and their utilization in other domains of NLP are increasing by day. In a broader sense, they aim to eliminate compression and loss of information due to fixed-length encoding of hidden states derived from input sequences in RNNs. The layers in this repository are tailored specifically for many-to-one sequence tasks, such as sentiment classification and language modeling.

Deep mining the textual gold in relation extraction : dexamples of different relations between entities