Timo and I held a course on incremental processing at ESSLLI 2016. If you have a look at (most of) our publications, you will see that Timo works on incremental speech processing and I on incremental Text processing. The course was about incremental NLP in general and I hope we were successful in generating interest in incremental processing.

The slides are online (scroll to the bottom), but may not be sufficient to understand everything we actually said (this is as slides should be, in my opinion).

I stayed in Terlan which is fifteen minutes by train from Bozen and is quite lovely. Much quieter than Bolzano and one can go on hikes directly. Terlan has lots of great wine. Nearly all Terlan wine is produced by a co-operative founded in 1893.

We recently went for a ride at the very nice Alsterquellgebiet just north of Hamburg. We had a camera mounted and from time to time, I shot a short video.

Back home I wanted to visualize where we were for each video to make a short clip using kdenlive. The result is a small python program which will create images like these:

Given a gpx file and a set of other files, it downloads an OSM map for the region, draws the track, and for every file determines where it was shot (based on the time stamp as my files sadly have no usable meta-data). It then produces an image as above for each file.

You can download the script here: trackviz.py

Make sure to properly attribute OpenStreetMap if you distribute these images! Since they are downloaded directly from osm.org, they are licensed under a Creative Commons Attribution-ShareAlike 2.0 license.

My paper about the correlation between syneval and parsing performance has been accepted at RepEval 2016. You can find code, data etc. here. Looking forward to Berlin (which is a 1:30h train ride from Hamburg).

Our paper Mining the Spoken Wikipedia for Speech Data and Beyond has been accepted at LREC. Timo presented it and the reception seemed to be rather good. You can find our paper about hours and hours of time-aligned speech data generated from the Spoken Wikipedia at the Spoken Wikipedia Corpora website. There is about 200 hours of aligned data for German alone!

Of course, all data is available under CC BY-SA-3.0. :-)

I'm presenting my paper What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation at EMNLP. You can have a look at the data, code, and examples.

Hopefully, the EMNLP video recordings will be online at some point. As of now (2016-04), they are not.

My bachelor thesis is in German, you can find it at the open access repository of our department: Inkrementelle Part-of-Speech Tagger

I also made an overview in English with the relevant results.