Titlebook: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D; 13th China National Maosong Sun,Yang

FICE

Iniquitous

Distant Supervision for Relation Extraction via Sparse Representatione text and consider the alignment as labeled data. This procedure is effective to get training data. However, this heuristically label procedure is confronted with wrong labels. Thus, the extracted features are noisy and cause poor extraction performance. In this paper, we exploit the sparse represe

Cognizance

Learning the Distinctive Pattern Space Features for Relation Extractionhe web, multiple sentences corresponding to a fact may be achieved. In this paper, we propose pattern space features to leverage data redundancy. Each dimension of pattern space feature vector corresponds to a basis pattern and the vector value is the similarity of entity pairs’ patterns to basis pa

拾落穗

An Investigation on Statistical Machine Translation with Neural Language Modelsthe n-best outputs and direct decoding. However there are still some issues remained for application of NPLMs. In this paper we further investigate through detailed experiments and extension of state-of-art NPLMs. Our experiments on large-scale datasets show that our final setting, i.e., decoding wi

excursion

STAT

失败主义者

A Comparative Study on Simplified-Traditional Chinese Translationion between the two scripting systems indispensable. Computer-based simplified-traditional Chinese conversion is available on MS Word, Google Translate and many language tools on the WWW. Their performance has reached very high precision. However, because of the existence of one-to-many relationship

Tartar

condescend

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D13th China National

1FAWN