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ACL
2015
10 years 5 days ago
Revisiting Word Embedding for Contrasting Meaning
Contrasting meaning is a basic aspect of semantics. Recent word-embedding models based on distributional semantics hypothesis are known to be weak for modeling lexical contrast. W...
Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, S...
ACL
2015
10 years 5 days ago
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns
Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bias through consistent linkage between a topic and a specific context (frame). We b...
Oren Tsur, Dan Calacci, David Lazer
ACL
2015
10 years 5 days ago
Representation Based Translation Evaluation Metrics
Precisely evaluating the quality of a translation against human references is a challenging task due to the flexible word ordering of a sentence and the existence of a large numb...
Boxing Chen, Hongyu Guo
ACL
2015
10 years 5 days ago
Learning Answer-Entailing Structures for Machine Comprehension
Understanding open-domain text is one of the primary challenges in NLP. Machine comprehension evaluates the system’s ability to understand text through a series of question-answ...
Mrinmaya Sachan, Kumar Dubey, Eric P. Xing, Matthe...
ACL
2015
10 years 5 days ago
Radical Embedding: Delving Deeper to Chinese Radicals
Languages using Chinese characters are mostly processed at word level. Inspired by recent success of deep learning, we delve deeper to character and radical levels for Chinese lan...
Xinlei Shi, Junjie Zhai, Xudong Yang, Zehua Xie, C...