An event chronicle provides people with an easy and fast access to learn the past. In this paper, we propose the first novel approach to automatically generate a topically releva...
Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Cha...
We characterize a class of indirect answers to yes/no questions, alternative answers, where information is given that is not directly asked about, but which might nonetheless addr...
Jon Scott Stevens, Anton Benz, Sebastian Reuß...
Rumours on social media exhibit complex temporal patterns. This paper develops a model of rumour prevalence using a point process, namely a log-Gaussian Cox process, to infer an u...
Several compositional distributional semantic methods use tensors to model multi-way interactions between vectors. Unfortunately, the size of the tensors can make their use imprac...
Treebanks are key resources for developing accurate statistical parsers. However, building treebanks is expensive and timeconsuming for humans. For domains requiring deep subject ...
This paper describes WriteAhead, a resource-rich, Interactive Writing Environment that provides L2 learners with writing prompts, as well as ”get it right” advice, to helps th...
Tzu-Hsi Yen, Jian-Cheng Wu, Jim Chang, Joanne Bois...
Comparisons in text, such as in online reviews, serve as useful decision aids. In this paper, we focus on the task of identifying whether a comparison exists between a specific p...
We examine a key task in biomedical text processing, normalization of disorder mentions. We present a multi-pass sieve approach to this task, which has the advantage of simplicity...
Predicting emotion categories, such as anger, joy, and anxiety, expressed by a sentence is challenging due to its inherent multi-label classification difficulty and data sparsenes...