Search Results for author: Sarah Schulz

Found 10 papers, 0 papers with code

Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena

no code implementations COLING 2018 Ina Roesiger, Sarah Schulz, Nils Reiter

As some of the adaptations have profound impact, we also present a new annotation tool for coreference, with a focus on enabling annotation of long texts with many discourse entities.

coreference-resolution Natural Language Inference +1

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

no code implementations2 Oct 2017 Derek Doran, Sarah Schulz, Tarek R. Besold

We characterize three notions of explainable AI that cut across research fields: opaque systems that offer no insight into its algo- rithmic mechanisms; interpretable systems where users can mathemat- ically analyze its algorithmic mechanisms; and comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached.

Challenges of Computational Processing of Code-Switching

no code implementations WS 2016 Özlem Çetinoğlu, Sarah Schulz, Ngoc Thang Vu

This paper addresses challenges of Natural Language Processing (NLP) on non-canonical multilingual data in which two or more languages are mixed.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +7

Learning from Within? Comparing PoS Tagging Approaches for Historical Text

no code implementations LREC 2016 Sarah Schulz, Jonas Kuhn

In this paper, we investigate unsupervised and semi-supervised methods for part-of-speech (PoS) tagging in the context of historical German text.

Part-Of-Speech Tagging POS +2

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