Structure features need complicated pre-processing, and are probably domain-dependent. To reduce time cost of pre-processing, we propose a novel neural network architecture which is a bi-directional long-short-term-me...Structure features need complicated pre-processing, and are probably domain-dependent. To reduce time cost of pre-processing, we propose a novel neural network architecture which is a bi-directional long-short-term-memory recurrent-neural-network(Bi-LSTM-RNN) model based on low-cost sequence features such as words and part-of-speech(POS) tags, to classify the relation of two entities. First, this model performs bi-directional recurrent computation along the tokens of sentences. Then, the sequence is divided into five parts and standard pooling functions are applied over the token representations of each part. Finally, the token representations are concatenated and fed into a softmax layer for relation classification. We evaluate our model on two standard benchmark datasets in different domains, namely Sem Eval-2010 Task 8 and Bio NLP-ST 2016 Task BB3. In Sem Eval-2010 Task 8, the performance of our model matches those of the state-of-the-art models, achieving 83.0% in F1. In Bio NLP-ST 2016 Task BB3, our model obtains F_1 51.3% which is comparable with that of the best system. Moreover, we find that the context between two target entities plays an important role in relation classification and it can be a replacement of the shortest dependency path.展开更多
OBJECTIVE:To assess the efficacy and safety of gingerindirect moxibustion for chronic fatigue syndrome(CFS).METHODS:In this central randomized,controlled trial,290 CFS participants were recruited and randomly allocate...OBJECTIVE:To assess the efficacy and safety of gingerindirect moxibustion for chronic fatigue syndrome(CFS).METHODS:In this central randomized,controlled trial,290 CFS participants were recruited and randomly allocated to group A(ginger-indirect moxibustion plus acupuncture)or group B(acupuncture alone).The study consisted of a treatment period of 8 weeks with a total of 24 treatments(3 sessions per week,every other day),and a follow-up period of 12 weeks.The outcome was measured by Fatigue Severity Scale(FSS),Psychological Health Report(SPHERE),the Self-rating depression scale(SDS)and the Hamilton anxiety scale(HAMA)at baseline,2,4,6,8,12 and 20 weeks.RESULTS:With the treatment undergoing,the changes of FSS,SPHERE,SDS and HAMA scores in both groups increased gradually,and the effect maintained at the 12th week.Between groups,significantly higher score changes were seen in group A in FSS after 4 weeks treatment(11.94 vs 9.12,95%CI:0.94,4.7)and in SPHERE after 2 weeks treatment(3.7 vs 2.27,95%CI:0.56,2.31).But for SDS and HAMA,the improvement did not differ significantly between groups.No severe adverse events were reported.CONCLUSION:Ginger-indirect moxibustion is a safe and effective intervention to relieve fatigue and accompanying physical symptoms of CFS.展开更多
基金Supported by the China Postdoctoral Science Foundation(2014T70722)the Humanities and Social Science Foundation of Ministry of Education of China(16YJCZH004)
文摘Structure features need complicated pre-processing, and are probably domain-dependent. To reduce time cost of pre-processing, we propose a novel neural network architecture which is a bi-directional long-short-term-memory recurrent-neural-network(Bi-LSTM-RNN) model based on low-cost sequence features such as words and part-of-speech(POS) tags, to classify the relation of two entities. First, this model performs bi-directional recurrent computation along the tokens of sentences. Then, the sequence is divided into five parts and standard pooling functions are applied over the token representations of each part. Finally, the token representations are concatenated and fed into a softmax layer for relation classification. We evaluate our model on two standard benchmark datasets in different domains, namely Sem Eval-2010 Task 8 and Bio NLP-ST 2016 Task BB3. In Sem Eval-2010 Task 8, the performance of our model matches those of the state-of-the-art models, achieving 83.0% in F1. In Bio NLP-ST 2016 Task BB3, our model obtains F_1 51.3% which is comparable with that of the best system. Moreover, we find that the context between two target entities plays an important role in relation classification and it can be a replacement of the shortest dependency path.
基金Supported by the Science and Technology Support Program of Sichuan Province Science and Technology Agency:Clinical Researches of Acupuncture for“Unhealthy Status”Based on the TCM Theory of“All Diseases Originate from Qi’s Problem”(No.2014SZ0152)。
文摘OBJECTIVE:To assess the efficacy and safety of gingerindirect moxibustion for chronic fatigue syndrome(CFS).METHODS:In this central randomized,controlled trial,290 CFS participants were recruited and randomly allocated to group A(ginger-indirect moxibustion plus acupuncture)or group B(acupuncture alone).The study consisted of a treatment period of 8 weeks with a total of 24 treatments(3 sessions per week,every other day),and a follow-up period of 12 weeks.The outcome was measured by Fatigue Severity Scale(FSS),Psychological Health Report(SPHERE),the Self-rating depression scale(SDS)and the Hamilton anxiety scale(HAMA)at baseline,2,4,6,8,12 and 20 weeks.RESULTS:With the treatment undergoing,the changes of FSS,SPHERE,SDS and HAMA scores in both groups increased gradually,and the effect maintained at the 12th week.Between groups,significantly higher score changes were seen in group A in FSS after 4 weeks treatment(11.94 vs 9.12,95%CI:0.94,4.7)and in SPHERE after 2 weeks treatment(3.7 vs 2.27,95%CI:0.56,2.31).But for SDS and HAMA,the improvement did not differ significantly between groups.No severe adverse events were reported.CONCLUSION:Ginger-indirect moxibustion is a safe and effective intervention to relieve fatigue and accompanying physical symptoms of CFS.
