The effective use of multi-scale features remains an open problem for object detection tasks. Recently, proposed detectors have usually used Feature Pyramid Networks (FPN) to fuse features. Since a relatively simple feature map fusion approach, it can lead the loss or misalignment semantic information in process. Several works demonstrated that using bottom-up structure Network shorten path bet...

This paper describes the work on Chinese named entity recognition performed by Yahoo team at the third International Chinese Language Processing Bakeoff. We used two conditional probabilistic models for this task, including conditional random fields (CRFs) and maximum entropy models. In particular, we trained two conditional random field recognizers and one maximum entropy recognizer for identi...

Background Clear cell renal carcinoma (ccRCC) is a malignant disease containing tumor-infiltrating lymphocytes. Reactive oxygen species (ROS) are present in the tumor microenvironment and strongly associated with cancer development. Nevertheless, role of ROS-related genes ccRCC remains unclear. Methods We describe expression patterns from The Cancer Genome Atlas their alterations genetics trans...

Methicillin-resistant Staphylococcus aureus (MRSA) first came to the attention of health care providers as a nosocomial pathogen.1 More recently, MSRA has emerged as an important community-acquired pathogen2 and has been a cause of infection in men who have sex with men (MSM)3,4 and in persons with HIV-1 infection.5-7 Other reports include clusters of MRSA infection in prison inmates,8 military...

This paper presents our work for participation in the Third International Chinese Word Segmentation Bakeoff. We apply several processing approaches according to the corresponding sub-tasks, which are exhibited in real natural language. In our system, Trigram model with smoothing algorithm is the core module in word segmentation, and Maximum Entropy model is the basic model in Named Entity Recog...

We present a Chinese Named Entity Recognition (NER) system submitted to the close track of Sighan Bakeoff2006. We define some additional features via doing statistics in training corpus. Our system incorporates basic features and additional features based on Conditional Random Fields (CRFs). In order to correct inconsistently results, we perform the postprocessing procedure according to n-best ...