Improving Coreference Resolution Using Automatically Acquired Knowledge of Nominal Relations

نویسندگان
چکیده

منابع مشابه

Improving Coreference Resolution Using Bridging Reference Resolution and Automatically Acquired Synonyms

We present a knowledge-rich approach to Japanese coreference resolution. In Japanese, proper noun coreference and common noun coreference occupy a central position in coreference relations. To improve coreference resolution for such language, wide-coverage knowledge of synonyms is required. We first acquire knowledge of synonyms from large raw corpus and dictionary definition sentences, and res...

متن کامل

Improving Coreference Resolution with Semantic Knowledge

This paper evaluates the impact of semantic features in coreference resolution for the Portuguese language. We show that the new proposed features obtained on the basis of currently available Portuguese semantic resources improve results in precision, recall and f-measure.

متن کامل

Improving coreference resolution with automatically predicted prosodic information

Adding manually annotated prosodic information, specifically pitch accents and phrasing, to the typical text-based feature set for coreference resolution has previously been shown to have a positive effect on German data. Practical applications on spoken language, however, would rely on automatically predicted prosodic information. In this paper we predict pitch accents (and phrase boundaries) ...

متن کامل

Improving Coreference Resolution by Using Conversational Metadata

In this paper, we propose the use of metadata contained in documents to improve coreference resolution. Specifically, we quantify the impact of speaker and turn information on the performance of our coreference system, and show that the metadata can be effectively encoded as features of a statistical resolution system, which leads to a statistically significant improvement in performance.

متن کامل

Coreference Resolution Using Semantic Relatedness Information from Automatically Discovered Patterns

Semantic relatedness is a very important factor for the coreference resolution task. To obtain this semantic information, corpusbased approaches commonly leverage patterns that can express a specific semantic relation. The patterns, however, are designed manually and thus are not necessarily the most effective ones in terms of accuracy and breadth. To deal with this problem, in this paper we pr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Natural Language Processing

سال: 2008

ISSN: 1340-7619,2185-8314

DOI: 10.5715/jnlp.15.5_99