Open information extraction from the web Page 1 68 communications of the acm | december
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …

In this paper, we present Espresso, a weakly-supervised, general-purpose, and accurate
algorithm for harvesting semantic relations. The main contributions are: i) a method for …

Computing the pairwise semantic similarity between all words on the Web is a
computationally challenging task. Parallelization and optimizations are necessary. We …

This paper suggests refinements for the Distributional Similarity Hypothesis. Our proposed
hypotheses relate the distributional behavior of pairs of words to lexical entailment–a tighter …

After the vision of the Semantic Web was broadcasted at the turn of the millennium, ontology
became a synonym for the solution to many problems concerning the fact that computers do …

We present a novel approach to weakly supervised semantic class learning from the web,
using a single powerful hyponym pattern combined with graph structures, which capture two …

One of the biggest challenges in the development and deployment of spoken dialogue
systems is the design of the spoken language generation module. This challenge arises …

This paper presents a novel metric-based framework for the task of automatic taxonomy
induction. The framework incrementally clusters terms based on ontology metric, a score …

Web search queries are often ambiguous or multi-faceted, which makes a simple ranked list
of results inadequate. To assist information finding for such faceted queries, we explore a …

The relation between ontologies and language is currently at the forefront of natural
language processing (NLP). Ontologies, as widely used models in semantic technologies …