Recently, most of the research in NLP has concentrated on the creation of applications coping with textual entailment. However, there still exist very few resources for the evalua...
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers wi...
Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Sha...
Sentence-level aligned parallel texts are important resources for a number of natural language processing (NLP) tasks and applications such as statistical machine translation and ...
Hierarchy fundamentally shapes how we act at work. In this paper, we explore the relationship between the words people write in workplace email and the rank of the email’s recip...
Lexicon development and Part of Speech (POS) tagging are very important for almost all Natural Language Processing(NLP) application areas. The rapid development of these resources...