By Maosong Sun, Yang Liu, Jun Zhao (eds.)
This e-book constitutes the refereed lawsuits of the thirteenth China nationwide convention on Computational Linguistics, CCL 2014, and of the 1st foreign Symposium on usual Language Processing in keeping with obviously Annotated monstrous info, NLP-NABD 2014, held in Wuhan, China, in October 2014. The 27 papers awarded have been conscientiously reviewed and chosen from 233 submissions. The papers are equipped in topical sections on notice segmentation; syntactic research and parsing the net; semantics; discourse, coreference and pragmatics; textual entailment; language assets and annotation; sentiment research, opinion mining and textual content type; large‐scale wisdom acquisition and reasoning; textual content mining, open IE and laptop interpreting of the internet; computer translation; multilinguality in NLP; underresourced languages processing; NLP applications.
Read Online or Download Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings PDF
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Additional resources for Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings
Example text
Otherwise, there would be two heads for one node. Table 4. Accuracy on test set, excluding punctuation, for unlabeled attachment score (UAS), labeled attachment score (LAS) and Complete Match (CM) Maltparser Top CoNLL 2009[15] (Transition-based) Che et al. 11 6 Related Works Yamada and Matsumoto [18] is in the light of the target nodes, and determines what kind of action to do. This can be treated as a multi-class classification problem. It also Improving Multi-pass Transition-Based Dependency Parsing 21 uses the the left and right context information of the target nodes and their children’s information to exclude ambiguity.
Another example is shown in Figure 5, which is a cluster about literature and art. Its frequency was low during the war years but soared since the founding of PRC (1949), and retained high for nearly 20 years, but then underwent a rapid decay in 1967 reversely, dropping the bottom over 10 years. And returned to the average level before 1967. This is because the artistic creation was significantly influenced by ideological factors in the Cultural Revolution (1967-1977) but reached its peak accompanying economic development.
Shift-left let the point of focus moves to the right. And there is a left relation between target nodes. Compared to set of actions of Yamada’s algorithm, we split the original shift action into shift, shift-left and shift-right, which is used to distinguish the relation between the target node pair. The shift-left and shift-right actions can be also called pseudo shift actions. We count these three shift actions in parsing process on Chinese dataset of the CoNLL 2009 shared task[9]. The pseudo shift actions are more than 20%.