نتایج جستجو برای: anaphoric ties

تعداد نتایج: 11808  

1995
Rebecca J. Passonneau

This paper concerns how to generate and understand discourse anaphoric noun phrases. I present the results of an analysis of all discourse anaphoric noun phrases (N=1,233) in a corpus of ten narrative monologues, where the choice between a definite pronoun or phrasal NP conforms largely to Gricean constraints on informativeness. I discuss Dale & Reiter’s [Dale and Reiter, To Appear] recent mode...

2015
Massimo Poesio Jon Chamberlain Udo Kruschwitz

In this Chapter we discuss Phrase Detectives, a Game-With-A-Purpose (GWAP) for anaphoric annotation that has been one of the first GWAPs for corpus annotation and one of the most successful. We discuss the architecture of the game, evaluate its results in terms of quantity and quality of data, and explain how the data were used to create a publically available corpus that can be used to study a...

2000
Itamar Leite de Oliveira Raul Sidnei Wazlawick

In this work a connectionist model used in the resolution of a well-known linguistic phenomenon as pronominal anaphoric reference is presented. The model is composed of two neural networks: a simple recurrent neural network (parser) and a feedforward neural network (segmenter). These networks are trained and tested simultaneously. With this model it is possible to solve anaphoric references wit...

2006
Georgiana Puşcaşu Ruslan Mitkov

The adverb ”then” is among the most frequent English temporal adverbs, being also capable of filling a variety of semantic roles. The identification of anaphoric usages of ”then” is important for temporal expression resolution, while the temporal relationship usage is important for event ordering. Given that previous work has not tackled the identification and temporal resolution of anaphoric ”...

2009
Rolf Schwitter

Anaphora resolution in current computer-processable controlled natural languages relies mainly on syntactic information, accessibility constraints and the distance of the anaphoric expression to its antecedent. This design decision has the advantage that a text can be processed automatically without any additional ontological knowledge, but it has the disadvantage that the author is severely re...

2008
Daniela Goecke Maik Stührenberg Andreas Witt

We report the results of a study that investigates the agreement of anaphoric annotations. The study focuses on the influence of the factors text length and text type on a corpus of scientific articles and newspaper texts. In order to measure inter-annotator agreement we compare existing approaches and we propose to measure each step of the annotation process separately instead of measuring the...

2013
Trung Tran Dang Tuan Nguyen Barbara J. Grosz Aravind K. Joshi

This paper presents a strategy and a computational model for solving inter-sentential anaphoric pronouns in Vietnamese paragraphs composing simple sentences. The strategy is proposed based on grammatical features of nouns and the focus phenomenon when using pronouns in Vietnamese. In this research, we consider only nouns and pronouns which are human objects in the paragraph, and each anaphoric ...

2008
Massimo Poesio Ron Artstein

Arrau is a new corpus annotated for anaphoric relations, with information about agreement and explicit representation of multiple antecedents for ambiguous anaphoric expressions and discourse antecedents for expressions which refer to abstract entities such as events, actions and plans. The corpus contains texts from different genres: task-oriented dialogues from the Trains-91 and Trains-93 cor...

2013
Chen Chen Vincent Ng

We extend Zhao and Ng's (2007) Chinese anaphoric zero pronoun resolver by (1) using a richer set of features and (2) exploiting the coreference links between zero pronouns during resolution. Results on OntoNotes show that our approach significantly outperforms two state-of-the-art anaphoric zero pronoun resolvers. To our knowledge, this is the first work to report results obtained by an end-toe...

Journal: :Natural Language & Linguistic Theory 2015

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