We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Information-extraction (IE) systems seek to distill semantic relations from naturallanguage text, but most systems use supervised learning of relation-specific examples and are th...
This paper describes a multi-lingual concept network obtained automatically by mining for concepts and relations and exploiting a variety of sources of knowledge from Wikipedia. C...
Vivi Nastase, Michael Strube, Benjamin Boerschinge...
Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents may be useful for GIR. This paper describe...
There is a growing consensus that it is desirable to query over the structure implicit in unstructured documents, and that ideally this capability should be provided incrementally...
Eric Chu, Akanksha Baid, Ting Chen, AnHai Doan, Je...