ACL
2015
9 years 11 months ago
2015
Identifying the type of relationship between words provides a deeper insight into the history of a language and allows a better characterization of language relatedness. In this p...
ACL
2015
9 years 11 months ago
2015
This paper reports on and demonstrates META-SHARE/QT21, a prototype implementation of a data sharing and annotation service platform, which was based on the META-SHARE infrastruct...
ACL
2015
9 years 11 months ago
2015
Stubs on Wikipedia often lack comprehensive information. The huge cost of editing Wikipedia and the presence of only a limited number of active contributors curb the consistent gr...
ACL
2015
9 years 11 months ago
2015
We propose a novel semantic parsing framework for question answering using a knowledge base. We define a query graph that resembles subgraphs of the knowledge base and can be dir...
ACL
2015
9 years 11 months ago
2015
Methods for name matching, an important component to support downstream tasks such as entity linking and entity clustering, have focused on alphabetic languages, primarily English...
ACL
2015
9 years 11 months ago
2015
We propose a neural network model for scalable generative transition-based dependency parsing. A probability distribution over both sentences and transition sequences is parameter...
ACL
2015
9 years 11 months ago
2015
This paper proposes a new unsupervised method for decomposing a multi-author document into authorial components. We assume that we do not know anything about the document and the ...
ACL
2015
9 years 11 months ago
2015
We consider the problem of building scalable semantic parsers for Freebase, and present a new approach for learning to do partial analyses that ground as much of the input text as...
ACL
2015
9 years 11 months ago
2015
We describe the design, development, and API of ODIN (Open Domain INformer), a domainindependent, rule-based event extraction (EE) framework. The proposed EE approach is: simple (...
ACL
2015
9 years 11 months ago
2015
Existing distributed representations are limited in utilizing structured knowledge to improve semantic relatedness modeling. We propose a principled framework of embedding entitie...