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Negative expressions are common in natural language text and play a critical role in information extraction. However, the performances of current systems are far from satisfaction , largely due to its focus on intra-sentence information and its failure to consider inter-sentence information. In this paper, we propose a graph model to enrich intra-sentence(More)
Scope detection is a key task in information extraction. This paper proposes a new approach for tree kernel-based scope detection by using the structured syntactic parse information. In addition , we have explored the way of selecting compatible features for different part-of-speech cues. Experiments on the BioScope corpus show that both constituent and(More)
Identifying negative or speculative narrative fragments from facts is crucial for deep understanding on natural language processing (NLP). In this paper, we firstly construct a Chinese corpus which consists of three sub-corpora from different resources. We also present a general framework for Chinese negation and speculation identification. In our method,(More)
My research interests are natural language processing, information extraction, and semantic understanding. Recently, my main focus is developing a negation and speculation information extraction system. This project aims to automatically identify some factors of negated or unreliable information in natural language, including cues/triggers (negative or(More)
Identifying negative or speculative narrative fragments from fact is crucial for natural language processing (NLP) applications. Previous studies on negation and speculation identification in Chinese language suffers much from two problems: corpus scarcity and the bottleneck in fundamental Chinese information processing. To resolve these problems, this(More)
Due to the commonality in natural language, negation focus plays a critical role in deep understanding of context. However, existing studies for negation focus identification major on supervised learning which is time-consuming and expensive due to manual preparation of annotated corpus. To address this problem, we propose an unsupervised word-topic graph(More)
My research interests are information extraction, text mining and information retrieval. Recently, my main focus is developing a negation and speculation information extraction system. This project aims to automatically identify some factors of negated or unreliable information in natural language texts, including triggers (negative or speculative(More)
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