Why does it feel like no one cites papers from before 2020 any more?

Ranked according to how much fun they are to say.

What happens if you visualize the embeddings of every CoNLL tag?

TLDR Multilingual Wikipedia is about 80GB.

I didn't make it, but I tried to explain it.

In this library, all possible machine learning models exist.

Things I would like to see happen in NLP in 2020.

tldr; always include test in your config.

No.

Who cares about NER anyway?

I recently came across this paper: Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora, by Ayah Zirikly and Masato Hagiwara, published in IJCNLP, 2015. It’s very related to my research, so I wanted to write a short review.

This year, the 6th Workshop on Balto-Slavic NLP was held, co-located with EACL 2017, in Valencia, Spain. The associated shared task was formally called Multilingual Named Entity Recognition, but in fact consisted of 3 subtasks:

I read a fair number of kids books in my line of work. Some are excellent, while others should never have been published. Here's a short record (updated sporadically).

How many different types of supervision are there? I've collected as many as I could find, along with an example paper.

Lexical features vs brown clusters

You CAN teach an old classifier new tricks.

Here are some crazy tips UIUC researchers are freaking out about!

A note on how I set up and use a testing server.

Language stats

How to get weights in LBJava

How to use illinois-transliteration

My thoughts and experiments on the retrofitting paper.

This is my first post, please do not be alarmed.