The quality of statistical machine translation performed with phrase based approaches can be increased by permuting the words in the source sentences in an order which resembles t...
We present KLcpos3 , a language similarity measure based on Kullback-Leibler divergence of coarse part-of-speech tag trigram distributions in tagged corpora. It has been designed ...
In this paper we present the UNRAVEL toolkit: It implements many of the recently published works on decipherment, including decipherment for deterministic ciphers like e.g. the ZO...
This paper proposes a novel approach for incorporating discourse information into machine comprehension applications. Traditionally, such information is computed using off-the-she...
We propose a simple yet effective approach to learning bilingual word embeddings (BWEs) from non-parallel document-aligned data (based on the omnipresent skip-gram model), and its...
In this paper, we introduce the task of selecting compact lexicon from large, noisy gazetteers. This scenario arises often in practice, in particular spoken language understanding...
Young-Bum Kim, Karl Stratos, Xiaohu Liu, Ruhi Sari...
Dependency parsers are usually evaluated on attachment accuracy. Whilst easily interpreted, the metric does not illustrate the cascading impact of errors, where the parser chooses...
We present results on using stacking to ensemble multiple systems for the Knowledge Base Population English Slot Filling (KBP-ESF) task. In addition to using the output and confi...
Relation triples produced by open domain information extraction (open IE) systems are useful for question answering, inference, and other IE tasks. Traditionally these are extract...
Gabor Angeli, Melvin Jose Johnson Premkumar, Chris...
In this paper, we introduce a new method for the problem of unsupervised dependency parsing. Most current approaches are based on generative models. Learning the parameters of suc...