NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit
نویسندگان
چکیده
We present a new toolkit NiuParser for Chinese syntactic and semantic analysis. It can handle a wide range of Natural Language Processing (NLP) tasks in Chinese, including word segmentation, partof-speech tagging, named entity recognition, chunking, constituent parsing, dependency parsing, and semantic role labeling. The NiuParser system runs fast and shows state-of-the-art performance on several benchmarks. Moreover, it is very easy to use for both research and industrial purposes. Advanced features include the Software Development Kit (SDK) interfaces and a multi-thread implementation for system speed-up.
منابع مشابه
برچسبزنی خودکار نقشهای معنایی در جملات فارسی به کمک درختهای وابستگی
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
متن کاملJoint Syntactic and Semantic Parsing of Chinese
This paper explores joint syntactic and semantic parsing of Chinese to further improve the performance of both syntactic and semantic parsing, in particular the performance of semantic parsing (in this paper, semantic role labeling). This is done from two levels. Firstly, an integrated parsing approach is proposed to integrate semantic parsing into the syntactic parsing process. Secondly, seman...
متن کاملبرچسبزنی نقش معنایی جملات فارسی با رویکرد یادگیری مبتنی بر حافظه
Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...
متن کاملAnalysis of the Difficulties in Chinese Deep Parsing
This paper discusses the difficulties in Chinese deep parsing, by comparing the accuracy of a Chinese HPSG parser to the accuracy of an English HPSG parser and the commonly used Chinese syntactic parsers. Analysis reveals that deep parsing for Chinese is more challenging than for English, due to the shortage of syntactic constraints of Chinese verbs, the widespread pro-drop, and the large distr...
متن کاملSemantics-Driven Shallow Parsing for Chinese Semantic Role Labeling
One deficiency of current shallow parsing based Semantic Role Labeling (SRL) methods is that syntactic chunks are too small to effectively group words. To partially resolve this problem, we propose semantics-driven shallow parsing, which takes into account both syntactic structures and predicate-argument structures. We also introduce several new “path” features to improve shallow parsing based ...
متن کامل