The task of event trigger labeling is typically addressed in the standard supervised setting: triggers for each target event type are annotated as training data, based on annotati...
Ofer Bronstein, Ido Dagan, Qi Li, Heng Ji, Anette ...
Nearly all work in unsupervised grammar induction aims to induce unlabeled dependency trees from gold part-of-speechtagged text. These clean linguistic classes provide a very impo...
Yonatan Bisk, Christos Christodoulopoulos, Julia H...
In this paper we present the task of unsupervised prediction of speakers’ acceptability judgements. We use a test set generated from the British National Corpus (BNC) containing...
Code-switching is commonly used in the free-form text environment, such as social media, and it is especially favored in emotion expressions. Emotions in codeswitching texts diffe...
Zhongqing Wang, Sophia Yat Mei Lee, Shoushan Li, G...
Biterm Topic Model (BTM) is designed to model the generative process of the word co-occurrence patterns in short texts such as tweets. However, two aspects of BTM may restrict its...
Weizheng Chen, Jinpeng Wang, Yan Zhang, Hongfei Ya...
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...