We present and evaluate a method for automatically detecting sentence fragments in English texts written by non-native speakers. Our method combines syntactic parse tree patterns ...
It has been extensively observed that languages minimise the distance between two related words. Dependency length minimisation effects are explained as a means to reduce memory l...
In this paper, we introduce Long ShortTerm Memory (LSTM) recurrent network for twitter sentiment prediction. With the help of gates and constant error carousels in the memory bloc...
Downstream processing of machine translation (MT) output promises to be a solution to improve translation quality, especially when the MT system’s internal decoding process is n...
Rajen Chatterjee, Marion Weller, Matteo Negri, Mar...
We present a three-pronged approach to improving Statistical Machine Translation (SMT), building on recent success in the application of neural networks to SMT. First, we propose ...
Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, T...
Semantic applications typically extract information from intermediate structures derived from sentences, such as dependency parse or semantic role labeling. In this paper, we stud...
We present cort, a modular toolkit for devising, implementing, comparing and analyzing approaches to coreference resolution. The toolkit allows for a unified representation of po...
Sebastian Martschat, Patrick Claus, Michael Strube...
This paper introduces a web-based visualization framework for graph-based distributional semantic models. The visualization supports a wide range of data structures, including ter...
Eugen Ruppert, Manuel Kaufmann, Martin Riedl 0002,...
We present a new factoid-annotated dataset for evaluating content models for scientific survey article generation containing 3,425 sentences from 7 topics in natural language pro...
Rahul Jha, Catherine Finegan-Dollak, Ben King, Ree...