no code implementations • ACL 2020 • Emily M. Bender, Alex Koller, er
The success of the large neural language models on many NLP tasks is exciting.
no code implementations • CONLL 2019 • Lucia Donatelli, Meaghan Fowlie, Jonas Groschwitz, Alex Koller, er, Matthias Lindemann, Mario Mina, Pia Wei{\ss}enhorn
We describe the Saarland University submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference on Computational Natural Language Learning (CoNLL).
no code implementations • WS 2019 • Arne K{\"o}hn, Alex Koller, er
When generating technical instructions, it is often necessary to describe an object that does not exist yet.
1 code implementation • ACL 2019 • Alex Koller, er, Stephan Oepen, Weiwei Sun
This tutorial is on representing and processing sentence meaning in the form of labeled directed graphs.
no code implementations • WS 2017 • Christoph Teichmann, Alex Koller, er, Jonas Groschwitz
We generalize coarse-to-fine parsing to grammar formalisms that are more expressive than PCFGs and/or describe languages of trees or graphs.
no code implementations • WS 2017 • Alex Koller, er, Nikos Engonopoulos
Integrating surface realization and the generation of referring expressions into a single algorithm can improve the quality of the generated sentences.
no code implementations • ACL 2017 • Mart{\'\i}n Villalba, Christoph Teichmann, Alex Koller, er
The referring expressions (REs) produced by a natural language generation (NLG) system can be misunderstood by the hearer, even when they are semantically correct.
no code implementations • EACL 2017 • Johannes Gontrum, Jonas Groschwitz, Alex Koller, er, Christoph Teichmann
We present Alto, a rapid prototyping tool for new grammar formalisms.