Resolving Romanian Zero Pronouns: A Machine Learning Approach
نویسندگان
چکیده
This paper presents a new study on the distribution, identification, and resolution of zero pronouns in Romanian. A Romanian corpus, including legal, encyclopaedic, literary, and news texts has been created and manually annotated for zero pronouns. Using a morphological parser for Romanian and machine learning methods, experiments were performed on the created corpus for the identification and resolution of zero pronouns.
منابع مشابه
To Be or Not to Be a Zero Pronoun: a Machine Learning Approach for Romanian
This paper presents a new study on the distribution and identification of zero pronouns in Romanian. A Romanian corpus that includes legal, encyclopaedic, literary, and news texts has been created and manually annotated for zero pronouns. Using a morphological parser for Romanian and machine learning methods, experiments have been performed on the created corpus for the identification of verbs ...
متن کاملZero Pronominal Anaphora Resolution for the Romanian Language
This paper presents a new study on the distribution, identification, and resolution of zero pronouns in Romanian. A Romanian corpus, including legal, encyclopaedic, literary, and news texts has been created and manually annotated for zero pronouns. Using a morphological parser for Romanian and machine learning methods, experiments were performed on the created corpus for the identification and ...
متن کاملIdentification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
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...
متن کاملA Machine Learning Approach to German Pronoun Resolution
This paper presents a novel ensemble learning approach to resolving German pronouns. Boosting, the method in question, combines the moderately accurate hypotheses of several classifiers to form a highly accurate one. Experiments show that this approach is superior to a single decision-tree classifier. Furthermore, we present a standalone system that resolves pronouns in unannotated text by usin...
متن کاملChinese Zero Pronoun Resolution: A Joint Unsupervised Discourse-Aware Model Rivaling State-of-the-Art Resolvers
We propose an unsupervised probabilistic model for zero pronoun resolution. To our knowledge, this is the first such model that (1) is trained on zero pronouns in an unsupervised manner; (2) jointly identifies and resolves anaphoric zero pronouns; and (3) exploits discourse information provided by a salience model. Experiments demonstrate that our unsupervised model significantly outperforms it...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011