Redundancy

This paper explores the usefulness of a technique from software engineering, namely code instrumen- tation, for the development of large-scale natural language grammars. Information about the usage of grammar rules …...

We present a pilot experiment to measure the effects of redundancy in the resolution of definite descriptions as performed by a small number of human readers. Although originally intended to …...

In the last few years, the interest of the re- search community in micro-blogs and social media services, such as Twitter, is growing ex- ponentially. Yet, so far not much …...

Emoji are pictographs commonly used in microblogs as emotion markers, but they can also represent a much wider range of concepts. Additionally, they may occur in different positions within a …...

AbstractThe most important obstacles facing multi-document summarization include excessive redundancy in source descriptions and the looming shortage of training data. These obstacles prevent encoder-decoder models from being used directly, but …...

AbstractTransformer-based deep NLP models are trained using hundreds of millions of parameters, limiting their applicability in computationally constrained environments. In this paper, we study the cause of these limitations by …...

ive Multi-Document Summarization Hao Zhou1 , Weidong Ren1 , Gongshen Liu1∗, Bo Su1 , Wei Lu2 1 School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University 2 StatNLP …...