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To explore the potential application of semantic roles in structural machine translation, we propose to study the automatic learning of English-Chinese bilingual predicate argument structure mapping. We describe ARG ALIGN, a new model for learning bilingual semantic frames that employs monolin-gual Chinese and English semantic parsers to learn bilingual(More)
Parsing, the task of identifying syntactic components, e.g., noun and verb phrases, in a sentence, is one of the fundamental tasks in natural language processing. Many natural language applications such as spoken-language understanding, machine translation, and information extraction, would benefit from, or even require, high accuracy parsing as a(More)
Proteome-scale protein interaction maps are available for many organisms, ranging from bacteria, yeast, worms and flies to humans. These maps provide substantial new insights into systems biology, disease research and drug discovery. However, only a small fraction of the total number of human protein-protein interactions has been identified. In this study,(More)
We present twin results on Chinese semantic parsing , with application to English-Chinese cross-lingual verb frame acquisition. First, we describe two new state-of-the-art Chinese shallow semantic parsers leading to an F-score of 82.01 on simultaneous frame and argument boundary identification and labeling. Subsequently, we propose a model that applies the(More)
OBJECTIVE This study aimed to track the inclusion of women in clinical trials for new drugs approved by the Food and Drug Administration (FDA) between 2000 and 2002 and to evaluate the extent of analyses by sex. METHODS Data were extracted from FDA reviewers' reports, summaries of clinical trials in New Drug Applications (NDAs), and product labeling and(More)
The paper describes the design, collection, transcription and analysis of 200 hours of HKUST Mandarin Telephone Speech Corpus (HKUST/MTS) from over 2100 Mandarin speakers in mainland China under the DARPA EARS framework. The corpus includes speech data, transcriptions and speaker demographic information. The speech data include 1206 ten-minute natural(More)
Quantitative estimations of first-in-human (FIH) doses are critical for phase I clinical trials in drug development. Human pharmacokinetic (PK) prediction methods have been developed to project the human clearance (CL) and bioavailability with reasonable accuracy, which facilitates estimation of a safe yet efficacious FIH dose. However, the FIH dose(More)
Perfluorooctane sulfonate (PFOS) is an emerging persistent pollutant which shows multiple adverse health effects. However, the neurotoxicity of PFOS and its mechanisms have not been fully elucidated. Using a combination of in vivo and in vitro methods, the present study provides a detailed description of PFOS-induced neurotoxicity. Results showed that the(More)
Combined hepatocellular carcinoma and cholangiocarcinoma (cHCC–CC) is a rare form of primary liver cancer (PLC). It is difficult to make a correct preoperative diagnosis of cHCC–CC because of the lack of special features of the disease. We here present a case of a 68-year-old man who presented with fluctuant fever, chills, and sweating and was eventually(More)