Search Results for author: Yulia Grishina

Found 10 papers, 0 papers with code

Local-to-global learning for iterative training of production SLU models on new features

no code implementations NAACL (ACL) 2022 Yulia Grishina, Daniil Sorokin

First, we apply the original LGL schedule on our data and then adapt LGL to the production setting where the full data is not available at initial training iterations.

Intent Classification Intent Classification and Slot Filling +1

Truecasing German user-generated conversational text

no code implementations EMNLP (WNUT) 2020 Yulia Grishina, Thomas Gueudre, Ralf Winkler

True-casing, the task of restoring proper case to (generally) lower case input, is important in downstream tasks and for screen display.

Language Modelling

Anaphora Resolution with the ARRAU Corpus

no code implementations WS 2018 Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alex Uma, ra, Olga Uryupina, Juntao Yu, Heike Zinsmeister

The most distinctive feature of the corpus is the annotation of a wide range of anaphoric relations, including bridging references and discourse deixis in addition to identity (coreference).

Combining the output of two coreference resolution systems for two source languages to improve annotation projection

no code implementations WS 2017 Yulia Grishina

Although parallel coreference corpora can to a high degree support the development of SMT systems, there are no large-scale parallel datasets available due to the complexity of the annotation task and the variability in annotation schemes.

Coreference Resolution Machine Translation

CORBON 2017 Shared Task: Projection-Based Coreference Resolution

no code implementations WS 2017 Yulia Grishina

We additionally offer a more traditional setting, targeting the development of a multilingual coreference resolver without any restrictions on the resources and methods used.

Coreference Resolution Word Alignment

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities

no code implementations WS 2017 Yulia Grishina, Manfred Stede

In this paper, we examine the possibility of using annotation projection from multiple sources for automatically obtaining coreference annotations in the target language.

Coreference Resolution Named Entity Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.