Kolloquiumsplan FS 2018

Kolloquium FS 2018: Berichte aus der aktuellen Forschung am Institut, BA/MA-Arbeiten, Programmierprojekte, Gastvorträge

Zeit/Ort: Circa alle 14 Tage am Dienstag von 10.15 Uhr bis 12.00 Uhr, TBA

Verantwortliche: Fabio Rinaldi und Martin Volk

Kontakt: Fabio Rinaldi

Provisional program  !!!! Subject to changes !!!!

Datum

Vortragende / Thema

20. Februar 2018

Samuel Läubli: Multi-encoder Sequence-to-sequence Models as a Fast Alternative to Constrained Decoding

Fabio Rinaldi: Current activities in bio-medical text mining

 6. März 2018

Invited speaker: Martin Krallinger

20. März 2018

Invited speaker: Kevin Cohen

 10. April 2018

Peter Makarov:

Mathias Müller:

TBA:

 24. April 2018

Invited speaker: Nicolas Fischer

15. Mai 2018

Anna Jancso:

Ann-Sophie Gnehm: Text Zoning for Job Advertisements with Bidirectional LSTMs

TBA:

29. Mai 2018

Natalia Korchagina:

Phillip Ströbel:

Johannes Graën (TBC)

 

Abstracts

Feb 20

Samuel Läubli: Multi-encoder Sequence-to-sequence Models as a Fast Alternative to Constrained Decoding

Many sequence to sequence tasks have use cases where we want to put specific constraints on the output that is being produced. An example is interactive machine translation, where constraints come from a human user; other forms of constraints include rule-based translation of terminology, names and technical terms. Previous work has introduced constrained decoding algorithms, but introducing non-trivial constraints into beam search decoding carries a steep cost in computational complexity. We investigate a method to enforce constraints in a simple beam search, using an auxiliary encoder to represent the constraints, and a model trained to produce the non-constrained parts of the output. Empirical results in a constrained neural machine translation task show translation quality similar to grid beam search, while being an order of magnitude more efficient.

Fabio Rinaldi: Current activities in bio-medical text mining

The OntoGene/BioMeXt group has recently acquired several new projects in the area of bio-medical text mining. I will give an overview of our current and future activities, including recently concluded projects. I will present some of the related problems that pose interesting research challenges. I will describe some of our tools and techniques.