Resolving "This-issue" Anaphora
نویسندگان
چکیده
We annotate and resolve a particular case of abstract anaphora, namely, thisissue anaphora. We propose a candidate ranking model for this-issue anaphora resolution that explores different issuespecific and general abstract-anaphora features. The model is not restricted to nominal or verbal antecedents; rather, it is able to identify antecedents that are arbitrary spans of text. Our results show that (a) the model outperforms the strong adjacent-sentence baseline; (b) general abstract-anaphora features, as distinguished from issue-specific features, play a crucial role in this-issue anaphora resolution, suggesting that our approach can be generalized for other NPs such as this problem and this debate; and (c) it is possible to reduce the search space in order to improve performance.
منابع مشابه
An Acquisition Model for both Choosing and Resolving Anaphora in Conjoined Mandarin Chinese Sentences
Anaphoric reference is an important linguistic phenomenon to understand the discourse structure and content. In Chinese natural language processing, there are both the problems of choosing and resolving anaphora. In Mandarin Chinese, several linguists have attempted to propose criteria to ezplain the phenomenon of anaphora but with controversial results. On the other hand, search-based computat...
متن کاملResolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora
We demonstrate an original and successful approach for both resolving and generating definite anaphora. We propose and evaluate unsupervised models for extracting hypernym relations by mining cooccurrence data of definite NPs and potential antecedents in an unlabeled corpus. The algorithm outperforms a standard WordNet-based approach to resolving and generating definite anaphora. It also substa...
متن کاملApplication of Pronominal Divergence and Anaphora Resolution in English-Hindi Machine Translation
So far the majority of Machine Translation (MT) research has focused on translation at the level of individual sentences. For sentence level translation, Machine Translation has addressed various divergence issues for large variety of languages; the issue of pronominal divergence has been presented only recently. Since the quality of translation as required by users follows coherent multi-sente...
متن کاملMachine Learning Approach for Resolving Pronominal Anaphora Using Hindi Dependency Treebank
Machine Learning facilitates the computers to mimic human intelligence by applying a set of rules to massive amounts of trained data and identifying patterns to make decisions and adapt based on what patterns are still uncovered. A number of applications ranging from spam detection, facial recognition, product recommendations to credit-card fraud detection, all of them apply machine learning pr...
متن کاملA Probabilistic Model for Associative Anaphora Resolution
This paper proposes a probabilistic model for associative anaphora resolution in Japanese. Associative anaphora is a type of bridging anaphora, in which the anaphor and its antecedent are not coreferent. Our model regards associative anaphora as a kind of zero anaphora and resolves it in the same manner as zero anaphora resolution using automatically acquired lexical knowledge. Experimental res...
متن کامل