Don Tuggener

Coreference Resolution Evaluation for Higher Level Applications

This paper presents an evaluation framework for coreference resolution geared towards interpretability for higher-level applications. Three application scenarios for coreference resolution are outlined and metrics for them are devised. The metrics provide detailed system analysis and aim at measuring the potential benefit of using coreference systems in preprocessing.

Anaphora resolution with real preprocessing

In this paper we focus on anaphora resolution for German, a highly inflected language which also allows for closed form compounds (i.e. compounds without spaces). Especially, we describe a system that only uses real preprocessing components, e.g. a dependency parser, a two-level morphological analyser etc. We trace the performance drop occurring under these conditions back to underspecification and ambiguity at the morphological level. A demanding subtask of anaphora resolution are the so-called bridging anaphora, a special variant of nominal anaphora where the heads of the coreferent noun phrases do not match. We experiment with two different resources in order to find out how to cope best with this problem.

Verb-Mediated Composition of Attitude Relations Comprising Reader and Writer Perspective

We introduce a model for attitude prediction that takes the reader and the writer perspectives into account and enables a joint reception of the attitudinal dispositions involved. For instance, a proponent of the reader might turn out to be a villain, or some moral values of his might be negatively affected. A formal model is specified that induces in a compositional, bottom-up manner informative relation tuples which indicate perspectives on attitudes. This enables the reader to focus on interesting cases, since they are directly accessible from the parts of the relation tuple.

Non-negative Matrix Factorisation-Based Verb Semantics for 3rd Person Pronoun Resolution

We present an initial utility study of a distributionalmodel of verb selectional preferences for 3rd personpronoun resolution in German. We investigate cases in which3rd person pronouns occur as subjects of transitive verbs. Ineach such case, the likelihood of inserting one of the antecedentcandidates is calculated as the conditional probability of theantecedent candidate given either the verb governing thepronoun or the object of the verb. These probabilities areestimated using a matrix derived from frequency counts ina large corpus. Non-negative matrix factorisation is appliedas a sort of semantic smoothing to address the sparsity issueinherent in the approach.