Anaphora Annotation in Hindi Dependency TreeBank
نویسندگان
چکیده
In this paper, we propose a scheme for anaphora annotation in Hindi Dependency Treebank. The goal is to identify and handle the challenges that arise in the annotation of reference relations in Hindi. We identify some of the issues related to anaphora annotation specific to Hindi such as distribution of markable span, sequential annotation, representation format, annotation of multiple referents etc. The scheme hence incorporates some characteristics specific to these issues in order to achieve a consistent annotation. Most significant among these characteristics is the head-modifier separation in referent selection. The modifier-modified dependency relations inside a markable is utilized for this headmodifier distinction. A part of the Hindi Dependency Treebank, of around 2500 sentences has been annotated with anaphoric relations and an inter-annotator study was carried out which shows a significant agreement over selection of the head referent using the proposed scheme as compared to MUC annotation format. The current annotation is done for a limited set of pronominal categories.
منابع مشابه
Machine 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 کاملAn annotation scheme for Persian based on Autonomous Phrases Theory and Universal Dependencies
A treebank is a corpus with linguistic annotations above the level of the parts of speech. During the first half of the present decade, three treebanks have been developed for Persian either originally or subsequently based on dependency grammar: Persian Treebank (PerTreeBank), Persian Syntactic Dependency Treebank, and Uppsala Persian Dependency Treebank (UPDT). The syntactic analysis of a sen...
متن کاملAnimacy Annotation in the Hindi Treebank
In this paper, we discuss our efforts to annotate nominals in the Hindi Treebank with the semantic property of animacy. Although the treebank already encodes lexical information at a number of levels such as morph and part of speech, the addition of animacy information seems promising given its relevance to varied linguistic phenomena. The suggestion is based on the theoretical and computationa...
متن کاملExploring Semantic Information from Hindi Dependency Treebank for Resolving Pronominal Anaphora
Anaphora Resolution is exigent task in almost all NLP applications such as text summarization, machine translation, information extraction, question-answering systems, etc. A lot of work has been done for identifying and still more need to be done for finding the factors responsible for resolving the anaphoras in all languages. An attempt has been made to resolve Hindi pronominal anaphora using...
متن کاملAutomatic Clause Boundary Annotation in the Hindi Treebank
In this paper, we propose a method for automatic clause boundary annotation in the Hindi Dependency Treebank. We show that the clausal information implicitly encoded in a dependency structure can be made explicit with no or less human intervention. We exercised the proposed approach on 16,000 sentences of Hindi Dependency Treebank. Our approach gives an accuracy of 94.44% for clause boundary id...
متن کامل