TY - JOUR
T1 - Preface
AU - Sun, Maosong
AU - Liu, Ting
AU - Wang, Xiaojie
AU - Goebel, Randy
AU - Ji, Heng
N1 - Funding Information:
Affiliated with the 17th CCL, the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data (NLP-NABD) covered all the topics of NLP, with particular focus on methodologies and techniques relating to naturally annotated big data. In contrast to manually annotated data such as treebanks that are constructed for specific NLP tasks, naturally annotated data come into existence through users’ normal activities, such as writing, conversation, and interactions on the Web. Although the original purposes of these data typically were unrelated to NLP, they can nonetheless be purposefully exploited by computational linguists to acquire linguistic knowledge. For example, punctuation marks in Chinese text can help word boundaries identification, social tags in social media can provide signals for keyword extraction, and categories listed in Wikipedia can benefit text classification. The natural annotation can be explicit, as in the aforementioned examples, or implicit, as in Hearst patterns (e.g., “Beijing and other cities” implies “Beijing is a city”). This symposium focuses on numerous research challenges ranging from very-large-scale unsupervised/semi-supervised machine leaning (deep learning, for instance) of naturally annotated big data to integration of the learned resources and models with existing handcrafted “core” resources and “core” language computing models. NLP-NABD 2018 was supported by the National Key Basic Research Program of China (i.e., “973” Program) “Theory and Methods for Cyber-Physical-Human Space Oriented Web Chinese Information Processing” under grant no.2014CB340500 and the Major Project of the National Social Science Foundation of China under grant no. 13&ZD190.
PY - 2018
Y1 - 2018
UR - http://www.scopus.com/inward/record.url?scp=85055446887&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055446887&partnerID=8YFLogxK
U2 - 10.1515/9783110573275-201
DO - 10.1515/9783110573275-201
M3 - Editorial
AN - SCOPUS:85055446887
SN - 0302-9743
VL - 11221 LNAI
SP - V-VI
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 17th China National Conference on Computational Linguistics, CCL 2018 and 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018
Y2 - 19 October 2018 through 21 October 2018
ER -