Our aligner improves F1 score by 2 to 5% with LVCs information. Moreover, the resulting AMR parser achieves the best Smatch scores among other transition-based AMR parsers. We also show that the RevNN framework helps to integrate different linguistic features for improvement in accuracy of ...
简介:句法分析(syntactic parsing)是NLP的关键技术,对input句子进行分析得到对应的句法结构;语义分析通常以句法分析的输出,作为input,以获得更多的指示信息。 零、 句法分析基础 句法分析(syntactic parsing)是NLP的关键技术,对input句子进行分析得到对应的句法结构;语义分析通常以句法分析的输出,作为input,以获得更多的指示...
Last week, while working on new features for our product, I had to find a quick and efficient way to extract the main topics/objects from a sentence. Since I’m using Python, I initially thought that it’s going to be a very easy task to achieve with NLTK. However, when I tried it...
A production rule with higher probability is preferred over the rules with lower probability. A PCFG is often generated from an annotated corpus such as the Penn WSJ Treebank is one of the earliest ones in this category. It features 50,000 sentences along with their manually generated parse ...
NLP 预处理与解析至关重要,且非常耗时。本 lib 能快速辅助完成各种琐碎的预处理、解析操作,加速开发进度,把有限的精力用在思考而非 code 上。 如有功能建议、bug,可通过 issue 按模板提出。 非常欢迎各位 NLP 开发者和研究者合作完善本工具包,添加新功能。
句法分析(syntactic parsing)是NLP的关键技术,对input句子进行分析得到对应的句法结构;语义分析通常以句法分析的输出,作为input,以获得更多的指示信息。 0.0 NLP基础任务 (1)语音、图像和文本 自然语言处理系统的输入源一共有3个,即语音、图像与文本。语音和图像这两种形式一般经过识别后转化为文字,转化后就可以进行后...
Discourse parsing for the Informal Mathematical Discourse (IMD) has been a difficult task because of the lack of data sets, partly because the Natural Language Processing (NLP) techniques must be adapted to informality of IMD. In this paper, we present an end-to-end discourse parser which is...
\text{San Jose cops kill man with knife} 警察用刀杀了那个男子 cops 是kill 的subject (subject 指 主语) man 是kill的object (object 指 宾语) knife 是kill 的modifier (modifier 指 修饰符) 警察杀了那个有刀的男子 knife 是man 的modifier (名词修饰符,简称为 nmod ) from space 这一介词短语修...
Span Attention + XLNet (Tian et al., 2020)96.40Improving Constituency Parsing with Span AttentionOfficial Label Attention Layer + HPSG + XLNet (Mrini et al., 2020)96.38Rethinking Self-Attention: Towards Interpretability for Neural ParsingOfficial ...
technique for many NLP problems, in particular, parsing (Collins, 2000) and machine translation (Shen et al., 2005). Typically, this method first gen- erates a list of top-n candidates from a baseline sys- tem, and then reranks this n-best list with arbitrary features that are not...