[PDF] Top 20 A Learning Approach to Shallow Parsing
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A Learning Approach to Shallow Parsing
... This paper presents a general learning ap- proach for identifying syntactic patterns, based on the SNoW learning architecture Roth, 1998; Roth, 1999.. The SNoW learning architecture is a[r] ... See full document
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Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
... or shallow parsing — the task of recovering only a limited amount of syntac- tic information from natural language sentences — has proved to be a useful technology for written and spoken language ... See full document
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Prepositional Phrase Attachment in Shallow Parsing
... machine learning techniques, integrated as a module within a shallow parser, and reach state of the art accuracy when com- paring to one of the best statistical parsers available ...to shallow ... See full document
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Analysis of Movie Reviews with Prediction of Movie Characters
... supervised learning approach for classification of aspect polarity, Sentence parsing for finding the requirement of actors in the future projects &KNN (K nearest neighbor) algorithm for ... See full document
5
Knowledge-Poor Approach to Shallow Parsing: Contribution of Unsupervised Part-of-Speech Induction
... In this paper, we study the contribution of part- of-speech induction to shallow parsing. The gen- eral context of our work is the automatic treat- ment of minority languages for which few lin- guistic ... See full document
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Shallow Parsing with Conditional Random Fields
... here, shallow parsing. Shallow parsing iden- tifies the non-recursive cores of various phrase types in text, possibly as a precursor to full parsing or informa- tion extraction (Abney, ... See full document
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HPSG Parsing with Shallow Dependency Constraints
... Parser combination has been shown to be a power- ful way to obtain very high accuracy in dependency parsing (Sagae and Lavie, 2006). Using dependency constraints allows us to improve HPSG parsing ac- curacy ... See full document
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Global Features for Shallow Discourse Parsing
... rest Approach: in the prefer- ence kernel approach (Shen and Joshi, 2003) the reranking problem is reduced to a binary classi- fication task on ...Kernel Approach: we also inves- tigated the ... See full document
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Exploiting Scope for Shallow Discourse Parsing
... classifies connectives in terms of their expected collocation with their arguments in sentences and paragraphs. In addi- tion to being practically useful, our approach is also theo- retically and empirically ... See full document
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Learning the Scope of Negation via Shallow Semantic Parsing
... Finding negative assertions is essential in information extraction (IE), where in general, the aim is to derive factual knowledge from free text. For example, Vincze et al. (2008) pointed out that the extracted ... See full document
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Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing
... supervised learning applications, large amount of unlabeled data is readily available, while labeled data are costly to ...jointly learning multiple classification problems on unlabeled ... See full document
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A Memory Based Approach to Learning Shallow Natural Language Patterns
... The memory-based nature of the presented algorithm stems from its deduction strategy: a new instance of the target pattern is recognized by examining the raw training corpus, searching f[r] ... See full document
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Shallow Parsing using Specialized HMMs
... Finally, we also tested the different specialization criteria obtaining slight improvements. The best results were achieved by incorporating some of the most frequent words into the model ( SP+Lex-WHF criterion). These ... See full document
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A Memory Based Approach to Learning Shallow Natural Language Patterns
... A Memory Based Approach to Learning Shallow Natural Language Patterns A M e m o r y B a s e d A p p r o a c h to Learning Shallow N a t u r a l Language P a t t e r n s S h l o m o A r g a m o n a n d[.] ... See full document
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A Study on Convolution Kernels for Shallow Statistic Parsing
... Several linguistic theories, e.g. (Jackendoff, 1990) claim that semantic information in nat- ural language texts is connected to syntactic structures. Hence, to deal with natural lan- guage semantics, the learning ... See full document
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Combining Deep and Shallow Approaches in Parsing German
... In addition to the learning approach, we used a cas- caded finite-state parser (Schiehlen, 2003), to extract dependency structures from the text. The layout of this parser is similar to Abney’s parser ... See full document
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Shallow Discourse Parsing Using Constituent Parsing Tree
... supported in part by the National Natural Science Foun- dation of China under Grants 60903119, 61170114, and 61272248, the National Basic Research Program of China under Grant 2013CB329401, the Science and Technol- ogy ... See full document
5
Shallow Semantic Parsing of Persian Sentences
... machine learning method to distinguish different roles such as Agent, Goal, etc and also a repository of various Persian verbs and their ...Memory-Based Learning (MBL) for both ... See full document
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An Imitation Learning Approach to Unsupervised Parsing
... the parsing F -scores against the Stanford ...imitation learning, given a PRPN trajectory, we perform SbS training once and then policy re- finement for five ...baselines. Parsing results with ... See full document
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Exploring evidence for shallow parsing
... The shallow parser used is the SNoW-based CSCL parser (Punyakanok and Roth, 2001; Munoz et ...for learning in domains in which the potential number of information sources (features) taking part in decisions ... See full document
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