We use search engine results to address a particularly difficult cross-domain language processing task, the adaptation of named entity recognition (NER) from news text to web que...
We show that unseen words account for a large part of the translation error when moving to new domains. Using an extension of a recent approach to mining translations from compara...
We investigate the use of textual Internet conversations for detecting questions in spoken conversations. We compare the text-trained model with models trained on manuallylabeled,...
We study the problem of finding the best headdriven parsing strategy for Linear ContextFree Rewriting System productions. A headdriven strategy must begin with a specified right...
Pierluigi Crescenzi, Daniel Gildea, Andrea Marino,...
We present disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for underst...