Bootstrapping Path-Based Pronoun Resolution
نویسندگان
چکیده
We present an approach to pronoun resolution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a candidate noun based on the path in the parse tree between the two entities. This path information enables us to handle previously challenging resolution instances, and also robustly addresses traditional syntactic coreference constraints. Highly coreferent paths also allow mining of precise probabilistic gender/number information. We combine statistical knowledge with well known features in a Support Vector Machine pronoun resolution classifier. Significant gains in performance are observed on several datasets.
منابع مشابه
Two-Stage Bootstrapping for Anaphora Resolution
In this paper, we propose a two-stage bootstrapping approach to resolve various anaphora representing persons, places, plurals and events in Tamil text. The existing approaches dealt with only single pronoun type and not all anaphora using common approach. Moreover, most of the approaches concentrate on syntaxbased algorithms and semantics to some extent. Instead in our approach, we tackle vari...
متن کاملKernel-Based Pronoun Resolution with Structured Syntactic Knowledge
Syntactic knowledge is important for pronoun resolution. Traditionally, the syntactic information for pronoun resolution is represented in terms of features that have to be selected and defined heuristically. In the paper, we propose a kernel-based method that can automatically mine the syntactic information from the parse trees for pronoun resolution. Specifically, we utilize the parse trees d...
متن کاملBootstrapping for Named Entity Tagging Using Concept-based Seeds
A novel bootstrapping approach to Named Entity (NE)tagging using concept-based seeds and successive learners is presented. This approach only requires a few common noun or pronoun seeds that correspond to the concept for the targeted NE, e.g. he/she/man/woman for PERSON NE. The bootstrapping procedure is implemented as training two successive learners. First, decision list is used to learn the ...
متن کاملImprove Tree Kernel-Based Event Pronoun Resolution with Competitive Information
Event anaphora resolution plays a critical role in discourse analysis. This paper proposes a tree kernel-based framework for event pronoun resolution. In particular, a new tree expansion scheme is introduced to automatically determine a proper parse tree structure for event pronoun resolution by considering various kinds of competitive information related with the anaphor and the antecedent can...
متن کاملChallenges in Pronoun Resolution System for Biomedical Text
This paper presents our findings on the feasibility of doing pronoun resolution for biomedical texts, in comparison with conducting pronoun resolution for the newswire domain. In our experiments, we built a simple machine learning-based pronoun resolution system, and evaluated the system on three different corpora: MUC, ACE, and GENIA. Comparative statistics not only reveal the noticeable issue...
متن کامل