The readers' ability to integrate current information with given information has been considered as an important component of reading comprehension process. One aspect of this integration process involves anaphoric resolution. The purpose of this study is to investigate the process of anaphoric resolution, focusing on inferential rigidity of different types of anaphoric ties. Ninety EFL learner...

In this paper, we present a machine learning approach to the identification and resolution of Chinese anaphoric zero pronouns. We perform both identification and resolution automatically, with two sets of easily computable features. Experimental results show that our proposed learning approach achieves anaphoric zero pronoun resolution accuracy comparable to a previous state-ofthe-art, heuristi...

We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a significantly better performance than a system not using anaphoric information, and a better performance by the rouge measure than all but one of the single-document summarizers participating in duc-2002. Anaphoric information...

In this preliminary study, we analyzed the kind of anaphoric expressions that occur in expressions describing protein interactions found in biological text. We also studied the impact of anaphora resolution on protein interaction extraction, when an off-the-shelf anaphoric resolver (i.e., not one specially developed for this domain) is used, and looking at full texts as well as abstracts. Our r...

Coreference resolution involves nding antecedents for anaphoric discourse entities, such as deenite noun phrases. But many deenite noun phrases are not anaphoric because their meaning can be understood from general world knowledge (e.g., \the White House" or \the news media"). We have developed a corpus-based algorithm for automatically identifying deenite noun phrases that are non-anaphoric, w...

We present a supervised learning approach to identification of anaphoric and non-anaphoric noun phrases and show how such information can be incorporated into a coreference resolution system. The resulting system outperforms the best MUC-6 and MUC-7 coreference resolution systems on the corresponding MUC coreference data sets, obtaining F-measures of 66.2 and 64.0, respectively.

This paper describes the use of a Bayesian network to resolve anaphora by probabilistically combining linguistic evidence. By adopting a Bayesian approach, we are able to combine diverse evidence in a principled way, extend current understanding of linguistic phenomena by quantifying relationships empirically, and better model the non-deterministic role of linguistic evidence in resolution of a...

Annotated resources are much needed for evaluation and training of anaphora resolution systems. The coreferential chain annotation is a difficult task which can not be realised without an appropriate tool. In this paper, we present our work on Arabic corpora annotation with anaphoric links (i.e., the annotation of the identity relation between the anaphors and their antecedents). In particular,...