Social media content can be used as a complementary source to the traditional methods for extracting and studying collective social attributes. This study focuses on the predictio...
Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos...
In this paper, we address the problem of evaluating spontaneous speech using a combination of machine learning and crowdsourcing. Machine learning techniques inadequately solve th...
We introduce an argument generation system in debating, one that is based on sentence retrieval. Users can specify a motion such as This house should ban gambling, and a stance on...
In natural language understanding (NLU), a user utterance can be labeled differently depending on the domain or application (e.g., weather vs. calendar). Standard domain adaptatio...
Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo...
Many NLP tools for English and German are based on manually annotated articles from the Wall Street Journal and Frankfurter Rundschau. The average readers of these two newspapers ...
Traditional approaches to the task of ACE event extraction primarily rely on elaborately designed features and complicated natural language processing (NLP) tools. These tradition...
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun ...
Community question answering (cQA) has become an important issue due to the popularity of cQA archives on the web. This paper is concerned with the problem of question retrieval. ...
Relation classification is an important semantic processing task for which state-ofthe-art systems still rely on costly handcrafted features. In this work we tackle the relation ...
Compared with carefully edited prose, the language of social media is informal in the extreme. The application of NLP techniques in this context may require a better understanding...
Luchen Tan, Haotian Zhang, Charles L. A. Clarke, M...
Most previous work of text normalization on informal text made a strong assumption that the system has already known which tokens are non-standard words (NSW) and thus need normal...