The development and proliferation of social media services has led to the emergence of new approaches for surveying the population and addressing social issues. One popular applic...
In this paper, we address semi-supervised sentiment learning via semi-stacking, which integrates two or more semi-supervised learning algorithms from an ensemble learning perspect...
Shoushan Li, Lei Huang, Jingjing Wang, Guodong Zho...
In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the re...
A standard pipeline for statistical relational learning involves two steps: one first constructs the knowledge base (KB) from text, and then performs the learning and reasoning t...
Domain adaptation is an active field of research in statistical machine translation (SMT), but so far most work has ignored the distinction between the topic and genre of documen...
Marlies van der Wees, Arianna Bisazza, Wouter Weer...
In this paper, we propose the new fixedsize ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size...
Non-linear models recently receive a lot of attention as people are starting to discover the power of statistical and embedding features. However, tree-based models are seldom stu...
Document enrichment focuses on retrieving relevant knowledge from external resources, which is essential because text is generally replete with gaps. Since conventional work prima...
Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Tin...
This paper tackles the issue of the detection of user’s verbal expressions of likes and dislikes in a human-agent interaction. We present a system grounded on the theoretical fr...
This paper presents a generative model to event schema induction. Previous methods in the literature only use head words to represent entities. However, elements other than head w...