Document enrichment focuses on retrieving relevant knowledge from external resources, which is essential because text is generally replete with gaps. Since conventional work prima...
Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Tin...
This paper tackles the issue of the detection of user’s verbal expressions of likes and dislikes in a human-agent interaction. We present a system grounded on the theoretical fr...
This paper presents a generative model to event schema induction. Previous methods in the literature only use head words to represent entities. However, elements other than head w...
Our research focuses on the multilingual enhancement of ontologies that, often represented only in English, need to be translated in different languages to enable knowledge access...
We focus on the task of interpreting complex natural language instructions to a robot, in which we must ground high-level commands such as microwave the cup to low-level actions s...
Online social networks nowadays have the worldwide prosperity, as they have revolutionized the way for people to discover, to share, and to diffuse information. Social networks ar...
Most existing graph-based parsing models rely on millions of hand-crafted features, which limits their generalization ability and slows down the parsing speed. In this paper, we p...
We investigate multiple many-to-many alignments as a primary step in integrating supplemental information strings in string transduction. Besides outlining DP based solutions to t...
We present a novel solution to improve the performance of Chinese word segmentation (CWS) using a synthetic word parser. The parser analyses the internal structure of words, and a...
A key problem in semantic parsing with graph-based semantic representations is graph parsing, i.e. computing all possible analyses of a given graph according to a grammar. This pr...
Jonas Groschwitz, Alexander Koller, Christoph Teic...