The NLP community has seen substantial recent interest in grounding to facilitate interaction
between language technologies and the world. However, as a community, we use the term …

Graphs are a powerful representation formalism that can be applied to a variety of aspects
related to language processing. We provide an overview of how Natural Language …

Background Electronic medical record (EMR) systems have become widely used throughout
the world to improve the quality of healthcare and the efficiency of hospital services. A …

The main contributions of this thesis are as follows: 1. We introduce a general model for
coreference and explore its application to German.• The model features an incremental …

Bilingual lexicon induction is the task of inducing word translations from monolingual
corpora in two languages. In this article we present the most comprehensive analysis of …

This paper proposes a novel method for lexicon extraction that extracts translation pairs from
comparable corpora by using graphbased label propagation. In previous work, it was …

Abstract Out-of-vocabulary (oov) words or phrases still remain a challenge in statistical
machine translation especially when a limited amount of parallel text is available for training …

In real Web applications, CoSimRank has been proposed as a powerful measure of node-
pair similarity based on graph topologies. However, existing work on CoSimRank is …

Sophisticated natural language processing (NLP) applications are entering everyday life in
the form of translation services, electronic personal assistants or open-domain question …

Topic models have been successfully applied in lexicon extraction. However, most previous
methods are limited to document-aligned data. In this paper, we try to address two …