Sciweavers

78
Voted
ACL
2015
9 years 11 months ago
New Transfer Learning Techniques for Disparate Label Sets
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...
73
Voted
ACL
2015
9 years 11 months ago
Tagging Performance Correlates with Author Age
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 ...
Dirk Hovy, Anders Søgaard
ACL
2015
9 years 11 months ago
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
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 ...
ACL
2015
9 years 11 months ago
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
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. ...
Guangyou Zhou, Tingting He, Jun Zhao, Po Hu
ACL
2015
9 years 11 months ago
Classifying Relations by Ranking with Convolutional Neural Networks
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 ...
Cícero Nogueira dos Santos, Bing Xiang, Bow...
ACL
2015
9 years 11 months ago
Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings
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...
ACL
2015
9 years 11 months ago
Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words
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...
Chen Li, Yang Liu
ACL
2015
9 years 11 months ago
Unsupervised Cross-Domain Word Representation Learning
Meaning of a word varies from one domain to another. Despite this important domain dependence in word semantics, existing word representation learning methods are bound to a singl...
Danushka Bollegala, Takanori Maehara, Ken-ichi Kaw...
ACL
2015
9 years 11 months ago
A Computational Approach to Automatic Prediction of Drunk-Texting
Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a ...
Aditya Joshi, Abhijit Mishra, Balamurali A. R, Pus...
ACL
2015
9 years 11 months ago
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
We introduce C-PHRASE, a distributional semantic model that learns word representations by optimizing context prediction for phrases at all levels in a syntactic tree, from single...
Nghia The Pham, Germán Kruszewski, Angeliki...