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Memory-Based Shallow Parsing [article]

Walter Daelemans, Sabine Buchholz, Jorn Veenstra
1999 arXiv   pre-print
We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as memory-based modules.  ...  Memory-Based Shallow Syntactic Analysis Memory-Based Learning (MBL) is a classificationbased, supervised learning approach: a memory-based learning algorithm constructs a classifier for a task by storing  ...  ] , maximum entropy parsing [Ratnaparkhi, 1997] , and memory-based learning [Cardie, 1994 , Daelemans et al., 1996 .  ... 
arXiv:cs/9906005v1 fatcat:43ogtcriujhhde5ld2scvgtrce

Memory-Based Shallow Parsing [article]

Erik F. Tjong Kim Sang
2002 arXiv   pre-print
We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and  ...  We use feature selection techniques and system combination methods for improving the performance of the memory-based learner.  ...  The goal of this paper is to test the theoretic ideas about memory-based learning applied to natural language tasks, in particular its application to shallow parsing.  ... 
arXiv:cs/0204049v1 fatcat:xxiue6ilxjbuxl2tevt5dbyare

A Memory-Based Shallow Parser for Spoken Dutch

Sander Canisius, Antal van den Bosch
2003 Computational Linguistics in the Netherlands  
We describe the development of a Dutch memory-based shallow parser.  ...  The availability of large treebanks for Dutch, such as the one provided by the Spoken Dutch Corpus, allows memory-based learners to be trained on examples of shallow parsing taken from the treebank, and  ...  The authors wish to thank Jaap van den Herik and Eric Postma for discussion and support and Sabine Buchholz, Walter Daelemans en Jorn Veenstra for their earlier work on memory-based shallow parsing.  ... 
dblp:conf/clin/CanisiusB03 fatcat:p4am4zzujferbc5p3dhijfncre

Parsing and Working Memory in Bilingual Sentence Processing

2016 Bilingualism: Language and Cognition  
Some explain L1/L2 differences in terms of different parsing mechanisms, and the hypothesis that L2 learners adopt 'shallow' parsing has received considerable attention.  ...  Based on research investigating L2 sentence processing, I claim that a primary source of L1/L2 differences lies in the ability to retrieve information constructed during sentence processing from memory  ...  characterisation of L1/L2 differences in terms of shallow parsing or capacity-based limitations.  ... 
doi:10.1017/s1366728916000675 fatcat:umncwjfwdvhyloqxkam7tlvvyi

Prepositional Phrase Attachment in Shallow Parsing

Vincent Van Asch, Walter Daelemans
2009 Recent Advances in Natural Language Processing  
First, we show how to extract anchor-pp pairs from parse trees in the GENIA and WSJ treebanks. Next, we discuss the extension of the shallow parser with a PP-attacher.  ...  In this paper we extend a shallow parser [6] with prepositional phrase attachment.  ...  The machine learning method chosen is memory-based learning.  ... 
dblp:conf/ranlp/AschD09 fatcat:dsisktgpgzbxjjdyklnflcaor4

Shallow Semantic Parsing of Persian Sentences

Azadeh Kamel Ghalibaf, Saeed Rahati Quchani, Azam Estaji
2009 Pacific Asia Conference on Language, Information and Computation  
In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features.  ...  In order to extract features, we developed a shallow syntactic parser which divides the sentence into segments with certain syntactic units.  ...  The learning component of MBL is memory-based as it involves adding training instances to memory.  ... 
dblp:conf/paclic/GhalibafRE09 fatcat:vzxtmz7x3nh3vjxa2ifneavfhy

A Memory-Based Approach to Learning Shallow Natural Language Patterns [article]

Shlomo Argamon, Ido Dagan, Yuval Krymolowski
1999 arXiv   pre-print
This paper presents a novel memory-based learning method that recognizes shallow patterns in new text based on a bracketed training corpus.  ...  Recognizing shallow linguistic patterns, such as basic syntactic relationships between words, is a common task in applied natural language and text processing.  ...  In addition, since shallow parsing can be viewed as a sub-task of full parsing, we also discuss relevant methods for learning full parsing.  ... 
arXiv:cmp-lg/9806011v3 fatcat:wsgyx3f4lbegln5e2paqy7snvq

Modeling discourse cohesion for discourse parsing via memory network

Yanyan Jia, Yuan Ye, Yansong Feng, Yuxuan Lai, Rui Yan, Dongyan Zhao
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
Experiments on the RST discourse treebank show that our method outperforms traditional featured based methods, and the memory based discourse cohesion can improve the overall parsing performance significantly  ...  In this paper, we propose a new transition-based discourse parser that makes use of memory networks to take discourse cohesion into account.  ...  Memory Refined Representation: Besides the shallow structure features, we design a memory network component to cluster EDUs with similar topics to the same memory slot to alleviate the long span issues  ... 
doi:10.18653/v1/p18-2070 dblp:conf/acl/JiaYFLYZ18 fatcat:iymresbbuvg25geytluly4qoq4

Reassessing second language reading comprehension: Insights from the psycholinguistics notion of sentence processing

Hardian Zudianto, Ashadi Ashadi
2021 Edulite: Journal of English Education, Literature, and Culture  
The concepts of syntactic parsing, reanalysis, and sentence processing models are described to give the idea of how sentence processing works.  ...  This article argues that understanding the architecture of sentence processing, with syntactic parsing at the core of the underlying mechanism, can offer insights into the second language reading pedagogy  ...  As SSH makes a case for shallow syntactic parsing in L2 sentence processing, it was not long until studies relate the shallowness with the quantitative nature of proficiency.  ... 
doi:10.30659/e.6.1.10-27 fatcat:ak7jp2rj3bd3ncckisyriy42ve


2000 Applied Physics Letters  
Finally, future directions for machine learning of shallow parsing are suggested.  ...  On the other hand, because of the same task complexity, shallow parsing makes an excellent benchmark problem for evaluating machine learning algorithms.  ...  Tjong Kim Sang for maintaining the excellent shallow parsing website and finally the editorial staff of the JMLR for supporting this special issue.  ... 
doi:10.1162/153244302320884533 fatcat:l4d7uwhegrfmtifmw63xi24sxm

Interference in Native and Non-Native Sentence Processing

2017 Bilingualism: Language and Cognition  
of L2 speakers being more prone to interference during memory retrieval operations.  ...  My central claims were that highly proficient L2 speakers construct similarly specified syntactic parses as L1 speakers, and that differences between L1 and L2 processing can be characterised in terms  ...  Finding that L2ers have difficulty constructing globally correct parses would be compatible with shallow parsing.  ... 
doi:10.1017/s1366728916001243 fatcat:aj7dj5hyhvhvrnw56tj7si7vvm

Shallow parsing on the basis of words only

Antal van den Bosch, Sabine Buchholz
2001 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02  
We describe a case study in which a memory-based learning algorithm is trained to simultaneously chunk sentences and assign grammatical function tags to these chunks.  ...  The wordbased shallow parser displays an apparently log-linear increase in performance, and surpasses the flatter POS-based curve at about 50,000 sentences of training data.  ...  The task to be learned is a shallow parsing task (described below).  ... 
doi:10.3115/1073083.1073156 dblp:conf/acl/BoschB02 fatcat:qkhzeg7rubezrlyvgzb52xa4c4

Use of a Full Parser for Information Extraction in Molecular Biology Domain

Akane Yakushiji, Yuka Tateisi, Yusuke Miyao, Jun'ichi Tsujii
2000 Genome Informatics Series  
A general-purpose HPSG-based parsing system XHPSG [5] is used as a full parser, without tuning the grammar or the lexicon. As a shallow parser, we adopt ENGCG [7] .  ...  We propose an alternative information extraction method based on full parsing with a large-scale, general-purpose grammar.  ... 
doi:10.11234/gi1990.11.446 fatcat:qaixa2g76bcybpzcd6tgbw6zs4

A General and Multi-lingual Phrase Chunking Model Based on Masking Method [chapter]

Yu-Chieh Wu, Chia-Hui Chang, Yue-Shi Lee
2006 Lecture Notes in Computer Science  
For the base-chunking task, our system reaches 92.95 in F rate. When porting to Chinese, the performance of the base-chunking task is 92.36 in F rate. Also, our chunker is quite efficient.  ...  HMM) [11] [14] , Memory-based [17] [19] , etc.  ...  The phrase structure of the shallow parsing is quite different from the base-chunking.  ... 
doi:10.1007/11671299_17 fatcat:kbg352emune3bigqj6ewl4ssd4

Page 2065 of Computational Linguistics Vol. 30, Issue 2 [page]

2004 Computational Linguistics  
Finally, Ido Dagan and Yuval Krymolowski present a memory-based shallow parser with a more tenuous connection to DOP.  ...  Moving to memory-based learning, Guy de Pauw gives a memory-based approx- imation to DOP.  ... 
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