TV shows </term> . <term> Emotions </term> and other <term> indices </term> such as the <term> dominance
were <term> expert human translations </term> , others were <term> machine translation outputs </term>
other,18-1-P01-1009,bq alternative markers </term> , which includes <term> other ( than ) </term> , <term> such ( as ) </term>
</term> in <term> machine learning </term> and other areas of <term> natural language processing
knowledge-based mechanisms </term> and the other adopting <term> statistical techniques </term>
, and gives them translingual reach into other <term> languages </term> by leveraging <term>
the <term> HDAG Kernel </term> is superior to other <term> kernel functions </term> and <term> baseline
classification accuracy </term> over all of the other <term> models </term> used in the experiments
approach </term> should be applicable to many other <term> NLP problems </term> which are naturally
they are <term> translations </term> of each other . Using this <term> approach </term> , we extract
sentence-aligned parallel corpus </term> . All other <term> resources </term> are <term> monolingual
strengths and weaknesses , and to compare it to other <term> MT systems </term> . Using this <term>
co-occurrences </term> . This approach differs from other approaches to <term> WSI </term> in that it
show that it is competitive to the best other strategies . We introduce a new <term> interactive
clustering based approach </term> outperforms the other <term> clustering methods </term> . This paper
e.g. , <term> newspaper stories </term> and other <term> edited texts </term> . However , a great
<term> logical formalism </term> , which , among other things , is suitable for representing <term>
<term> antecedents </term> and to evaluate each other 's proposals . This paper discusses the
do not yet have . <term> Semantic </term> and other information may still be incorporated ,
generalizations </term> which can not be captured in other current <term> syntax formalisms </term> .
hide detail