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Incremental Coreference Resolution for German


Tuggener, Don. Incremental Coreference Resolution for German. 2016, University of Zurich, Faculty of Arts.

Abstract

The main contributions of this thesis are as follows:
1. We introduce a general model for coreference and explore its application to German.
• The model features an incremental discourse processing algorithm which allows it to coherently address issues caused by underspecification of mentions, which is an especially pressing problem regarding certain German pronouns.
• We introduce novel features relevant for the resolution of German pronouns. A subset of these features are made accessible through the incremental architecture of the discourse processing model.
• In evaluation, we show that the coreference model combined with our features provides new state-of-the-art results for coreference and pronoun resolution for German.
2. We elaborate on the evaluation of coreference and pronoun resolution.
• We discuss evaluation from the view of prospective downstream applications that benefit from coreference resolution as a preprocessing component. Addressing the shortcomings of the general evaluation framework in this regard, we introduce an alternative framework, the Application Related Coreference Scores (ARCS).
• The ARCS framework enables a thorough comparison of different system outputs and the quantification of their similarities and differences beyond the common coreference evaluation. We demonstrate how the framework is applied to state-of-the-art coreference systems. This provides a method to track specific differences in system outputs, which assists researchers in comparing their approaches to related work in detail.
3. We explore semantics for pronoun resolution.
• Within the introduced coreference model, we explore distributional approaches to estimate the compatibility of an antecedent candidate and the occurrence context of a pronoun. We compare a state-of-the-art approach for word embeddings to syntactic co-occurrence profiles to this end.
• In comparison to related work, we extend the notion of context and thereby increase the applicability of our approach. We find that a combination of both compatibility models, coupled with the coreference model, provides a large potential for improving pronoun resolution performance.
We make available all our resources, including a web demo of the system, at: http://pub.cl.uzh.ch/purl/coreference-resolution

Abstract

The main contributions of this thesis are as follows:
1. We introduce a general model for coreference and explore its application to German.
• The model features an incremental discourse processing algorithm which allows it to coherently address issues caused by underspecification of mentions, which is an especially pressing problem regarding certain German pronouns.
• We introduce novel features relevant for the resolution of German pronouns. A subset of these features are made accessible through the incremental architecture of the discourse processing model.
• In evaluation, we show that the coreference model combined with our features provides new state-of-the-art results for coreference and pronoun resolution for German.
2. We elaborate on the evaluation of coreference and pronoun resolution.
• We discuss evaluation from the view of prospective downstream applications that benefit from coreference resolution as a preprocessing component. Addressing the shortcomings of the general evaluation framework in this regard, we introduce an alternative framework, the Application Related Coreference Scores (ARCS).
• The ARCS framework enables a thorough comparison of different system outputs and the quantification of their similarities and differences beyond the common coreference evaluation. We demonstrate how the framework is applied to state-of-the-art coreference systems. This provides a method to track specific differences in system outputs, which assists researchers in comparing their approaches to related work in detail.
3. We explore semantics for pronoun resolution.
• Within the introduced coreference model, we explore distributional approaches to estimate the compatibility of an antecedent candidate and the occurrence context of a pronoun. We compare a state-of-the-art approach for word embeddings to syntactic co-occurrence profiles to this end.
• In comparison to related work, we extend the notion of context and thereby increase the applicability of our approach. We find that a combination of both compatibility models, coupled with the coreference model, provides a large potential for improving pronoun resolution performance.
We make available all our resources, including a web demo of the system, at: http://pub.cl.uzh.ch/purl/coreference-resolution

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Additional indexing

Item Type:Dissertation
Referees:Volk Martin, Schneider Gerold
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Uncontrolled Keywords:Coreference Resolution, Pronoun Resolution
Language:English
Date:2016
Deposited On:13 Jul 2016 09:08
Last Modified:22 Aug 2016 06:16
Number of Pages:207

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