A rhetorical parser is a computer program that is designed to analyze the structure and meaning of natural language text. Rhetorical parsers are used to identify the rhetorical structure of a text, which includes the relationships between the different parts of the text and the way they are organized to convey meaning.
Rhetorical parsers are used in a variety of applications, including natural language processing, text analysis, and language teaching. They can be used to identify the main ideas, supporting points, and structure of a text, and to analyze the way language is used to convey meaning and persuade the reader. Rhetorical parsers can also be used to identify the tone and style of a text, and to analyze the way language is used to convey emotions and affect.
Rhetorical parsers are often used in educational settings to help students analyze and understand the structure and language of texts, and to develop their own rhetorical skills. They are also used in research and development of natural language processing systems, and in applications such as automated essay grading and text summarization.
Rhetorical parsers work by analyzing the structure and language of a text and identifying the rhetorical elements and relationships within the text. They do this by using a combination of natural language processing techniques and algorithms that are designed to identify and analyze the different parts of a text and the way they are organized.
There are a variety of approaches to building rhetorical parsers, and the specific techniques and algorithms used can vary depending on the specific application and the goals of the parser. Some common techniques and algorithms used in rhetorical parsing include part-of-speech tagging, dependency parsing, and rhetorical structure theory (RST).
Part-of-speech tagging involves identifying the part of speech of each word in a text, such as noun, verb, adjective, and so on. This can help the parser understand the meaning and function of each word in the text.
Dependency parsing involves identifying the grammatical relationships between words in a text, such as subject-verb relationships and modifier-head relationships. This can help the parser understand the structure and meaning of the text.
Rhetorical structure theory (RST) is a framework for analyzing the rhetorical structure of a text. It identifies the main ideas and supporting points in a text and the relationships between them, and can be used to analyze the way a text is organized and the way it is intended to persuade the reader.
Rhetorical parsers can be used to analyze the structure and language of user input in a dialog system and identify the rhetorical elements and relationships within the input. This can be useful for dialog systems that need to understand the meaning and intent of user input, and to generate appropriate responses.
For example, a rhetorical parser could be used to identify the main ideas and supporting points in a user’s input, and to analyze the way language is used to convey meaning and persuade the reader. This information could be used by the dialog system to generate a response that addresses the user’s input and addresses the main points and arguments made by the user.
Rhetorical parsers can also be used to identify the tone and style of a user’s input, and to analyze the way language is used to convey emotions and affect. This can be useful for dialog systems that need to respond to user emotions and provide appropriate emotional support.
Not all words are created equal: Extracting semantic orientation as a function of adjective relevance K Voll, M Taboada – AI 2007: Advances in Artificial Intelligence, 2007 – Springer … larger spans with more data). We did not consider the effect of nested relations, but this choice should be more thoroughly examined. In general, the rhetorical parser stands to improve greatly. There is some ongoing research … Cited by 35 Related articles All 9 versions
On the development of the RST Spanish Treebank I da Cunha, JM Torres-Moreno, G Sierra – Proceedings of the 5th …, 2011 – dl.acm.org … This corpus should be useful for the development of a rhetorical parser for this language and several other applications related to computational linguistics, like those developed for other languages 1 http://www.sfu.ca/rst/index.html 1 Page 2. … Cited by 23 Related articles All 11 versions
Sentiment classification techniques for tracking literary reputation M Taboada, MA Gillies, P McFetridge – LREC workshop: towards …, 2006 – sfu.ca … development. We are in the process of error-checking and improving each of the components, from the tagger to the adjective list (including other words than adjectives). The rhetorical parser is a very important part of that effort. We … Cited by 23 Related articles All 10 versions
Towards a rhetorical parsing of Arabic text W Al-Sanie, A Touir, H Mathkour – … Intelligence for Modelling, …, 2005 – ieeexplore.ieee.org … 2.1. Relations signaling A relation is signaled by a set of cue phrases [7, 8]. We studied the Arabic rhetorical relations shown in (Table 1) and observed the cue phrases that signal each one. The set of cues that we generated are used in the rhetorical parser of the Arabic text. … Cited by 9 Related articles All 4 versions
Comparing rhetorical structures in different languages: The influence of translation strategies I da Cunha, M Iruskieta – Discourse Studies, 2010 – dis.sagepub.com … In addition, some rhetorical parsers in different languages are also based on this theory: Sumita et al. … A rhetorical parser is a system that automatically analyzes a text, giving as output the rhetorical tree of this text in terms of RST. … Cited by 19 Related articles All 3 versions
Parsing Arabic texts using rhetorical structure theory HI Mathkour, AA Touir, WA Al-Sanea – Journal of Computer Science, 2008 – thescipub.com … relations shown in Table 6 and observed the cue phrases that signal each one. The set of cues that we generated are used in the rhetorical parser of the Arabic text. Each cue phrase signals a rhetorical relation between two units based on some features. … Cited by 10 Related articles All 7 versions
Rhetoric in the age of cognitive science J Fahnestock – The viability of the rhetorical tradition, 2005 – books.google.com … features irrespective of their content. A rhetorical parser would include higher level structures like the enthymeme and the toPoi, and it would connect the features identi?ed to their potential uses. LANGUAGE THEORY IN THE … Cited by 18 Related articles All 2 versions
Prosodic correlates of rhetorical relations G Murray, M Taboada, S Renals – Proceedings of the HLT-NAACL 2006 …, 2006 – dl.acm.org … Marcu, 1997) and natural language generation (Knott and Dale, 1996). However, implementing automatic rhetorical parsers has been a problematic area of research. Techniques that rely heavily on explicit signals, such as … Cited by 14 Related articles All 16 versions
Towards a Suitable Rhetorical Representation for Arabic Text Summarization. W Al-Sanie, A Touir, H Mathkour – iiWAS, 2005 – pdf.aminer.org … Abstract Text summarization based on rhetorical structure theory has shown extremely interesting result. The process of extracting the text summary from the result of the rhetorical parser is not a singleton. Different rhetorical structure trees are generated from one text. … Cited by 3 Related articles
Linguistic patterns detected through a prosodic segmentation in spontaneous Taiwan Mandarin speech YF Liu, SC Tseng – Linguistic patterns in spontaneous …, 2009 – corpus.ling.sinica.edu.tw … Two rhetorical parsers utilizing punctuation marks and lexical cue phrases (‘because’, ‘for example’ … etc.) at sentence boundary in texts obtain a high precision rate on rhetorical relation assignment; one for English (Marcu 2000); one for Chinese (Cheng et al. 2006). … Cited by 4 Related articles All 7 versions
A rhetorical syntax-driven model for speech summarization J Zhang, P Fung – Proceedings of the 23rd International Conference on …, 2010 – dl.acm.org … Our learning method is based on classiwers, while (Marcu, 1997) uses rule-based method for parsing rhetorical structure. We train our rhetorical parser by using those ref- erence rhetorical units of the transcriptions cre- ated by aligning Power Point slides. … Cited by 2 Related articles All 4 versions
Gesture with meaning M Lhommet, SC Marsella – Intelligent Virtual Agents, 2013 – Springer … The CFs deriva- tion phase is currently driven by handcrafted rules and associated internal and external (specifically WordNet) databases, but more automatic approaches are being explored, such as using a learning-based rhetorical parser (SPADE ). … Cited by 1 Related articles All 6 versions
Towards an Automated Semiotic Analysis of the Romanian Political Discourse D G?fu, D Cristea – Computer Science, 2013 – mail.math.md … author and the dynamics of the discourse. A rhetorical parser is usually trained to recognise complex rhetorical trees out of a corpus manually annotated with these structures . The discourse parser developed in the NLP … Cited by 1 Related articles All 5 versions
Controversy Detection In Conversations Using Rhetorical Parsing K Allen, G Carenini, R Ng – nwnlp2014.cs.sfu.ca … By applying a previously developed rhetorical parser (Joty et. al, 2013) to the domain of asynchronous conversations, we can build a relation graph Figure 1: User relation graph for a sample asyn- chronous conversation. In this example, there are three users. … Related articles
Document Structure Identification E Giguet, N Lucas, G Cousin – pics.cicling.org … linguistic analysis tools to supplement the range of our partners’ statistical indexers, namely a language identification tool, a syntactic parser for French and English (Giguet & Vergne, 1997; Giguet, 1998; Vergne & Giguet, 1998; Vergne, 1999), a rhetorical parser for English … Related articles All 3 versions
An approach to bridge the gulf from free-text annotations to ontology-supported interpretative claims. B Sereno, SB Shum, E Motta – … in the age of the digital …, 2004 – archivesic.ccsd.cnrs.fr … We have imple- mented an initial rhetorical parser which allows us to identify sentences describing the authors’ own work, sentences related to work attributed to external authors, and sentences describing background information. 2 Page 3. … Related articles All 10 versions
NLG Lecture 6: Discourse coherence J Moore – inf.ed.ac.uk … Evaluation of rhetorical parser: – Id edu’s: • Recall 75%, Precision 97% – Id hierarchical structure (2 edu’s related): • Recall 71%, Precision 84% – Id nucleus/satellite labels: • Recall 58%, Precision 69% – Id RR: • Recall 38%, Precision 45% ? Later errors due mostly to edu mis … Related articles
Advanced Natural Language Processing Lecture 21 Discourse 1: Coherence J Moore – 2013 – inf.ed.ac.uk … Evaluation of rhetorical parser: – Identify elementary discourse units: • Recall 75%, Precision 97% – Identify hierarchical structure (2 edu’s related): • Recall 71%, Precision 84% – Identify nucleus/satellite labels: • Recall 58%, Precision 69% – Identify rhetorical relation: • Recall … Related articles All 2 versions
Document summarisation using combination and reduction of extracted sentences GK Parai, T Tenneti, PK Borah, S Shah – International Journal of …, 2009 – Inderscience … Examples of linguistic approaches by Marcu (1997a) developed a discourse-based summariser which uses a rhetorical parser for building rhetorical structure trees for unrestricted texts. Some use a linear combination of these. … Related articles
Automatic Discourse Parsing of Sociology Dissertation S Ou, CSG Khoo, DH Goh – ntu.edu.sg … Nomoto & Matsumoto (1998) used C4.5 Page 3. decision tree induction program to develop a model for parsing the discourse structure of news articles. Marcu (1999) used C4.5 to develop a rhetorical parser to identify the discourse units of unrestricted texts. … Related articles All 2 versions
Processing text-technological resources in discourse parsing H Lobin, H Lüngen, M Hilbert… – Modeling, Learning, and …, 2012 – Springer Page 1. Chapter 3 Processing Text-Technological Resources in Discourse Parsing Henning Lobin, Harald Lüngen, Mirco Hilbert, and Maja Bärenfänger Abstract. Discourse parsing of complex text types such as scientific research … Cited by 1 Related articles All 5 versions
Automated diagnostic writing tests: Why? How E Cotos, N Pendar – Towards adaptive CALL: Natural language …, 2007 – public.iastate.edu … More recently, rhetorical parsers have also been developed to analyze the discourse structure of texts based on rules. Combining NLP with statistical techniques can result in systems that produce deep-level parsing and semantic analysis, therefore gathering more accurate … Cited by 3 Related articles All 4 versions
Thomson reuters at tac 2008: Aggressive filtering with fastsum for update and opinion summarization F Schilder, R Kondadadi, JL Leidner… – Proceedings of the first …, 2008 – nist.gov … This is motivated as follows. Instead of solv- ing these problems by developing robust anaphoric resolution approaches or a rhetorical parser, we fo- cussed on extracting sentences that are less likely to introduce these problems in the first place. … Cited by 6 Related articles All 5 versions
Catching the drift: Probabilistic content models, with applications to generation and summarization R Barzilay, L Lee – arXiv preprint cs/0405039, 2004 – arxiv.org … By au- tomatically annotating a large corpus of texts with dis- course relations via a rhetorical parser (Marcu,1997; Soricut and Marcu, 2003), we may be able to incorpo- rate domain- independent relationships into the transition structure of our content models. … Cited by 237 Related articles All 19 versions
Local Coherence Analysis in a Multi-Level Approach to Automatic Text Analysis. M Stede – JLCL, 2008 – researchgate.net … reported source of that information. This level can in turn be used by a generic rhetorical parser—see for instance Marcu (2000), who had pointed out the problems that attributed content poses for rhetorical parsing. To give a third … Cited by 1 Related articles All 7 versions
A survey on automatic text summarization D Das, AFT Martins – … and Statistics II course at CMU, 2007 – stuyresearch.googlecode.com … Marcu (1998b) describes the details of a rhetorical parser producing a discourse tree. Figure 2 shows an example discourse tree for a text example detailed in the paper. Once such a dis- Antithesis 2 Elaboration Elaboration 2 2 Elaboration 3 Justification 8 Exemplification … Cited by 112 Related articles All 13 versions
Sequence modelling for sentence classification in a legal summarisation system B Hachey, C Grover – Proceedings of the 2005 ACM symposium on …, 2005 – dl.acm.org … Finally, on the system level, we are currently developing the sen- tence extraction component. As with the rhetorical parser, the core of this component will be a classifier that predicts, in this case, whether or not a sentence is a good summary sentence. … Cited by 24 Related articles All 10 versions
Computer-assisted assessment of free-text answers D Pérez-Marín, I Pascual-Nieto… – The Knowledge …, 2009 – Cambridge Univ Press … Some more complex NLP tools that have been applied to free-text CAA are syntactic analyzers (Manning & Schutze, 2001), to identify constituents and syntactic dependencies between them, rhetorical parsers (Marcu, 2000), to find the discourse structure of a text (Burstein et al … Cited by 20 Related articles All 3 versions
“Rhetoric in the Age of Cognitive Science”. The Viability of Rhetoric. Graff, Richard. ed. New York: State University of New York Press, 2005 … J Fahnestock – cogsci.uwaterloo.ca … content. A rhetorical parser would include higher level structures like the enthymeme and the topoi, and it would connect the features identified to their potential uses. [JANGUAGE THEORY IN THE RHETORICAL TRADrrION … Related articles
Mocking Ads Through Mobile Web Services L Gatti, M Guerini, O Stock… – Computational …, 2014 – Wiley Online Library … et al. 2013) to be added to the sentence constituents. The rhetorical structure of the sentence is obtained with the Hilda rhetorical parser (Hernault et al. 2010). An example of each analysis is shown in Figure 3. image Figure …
Global and Local Models for Multi-Document Summarization P Das, R Srihari – TAC 2011 Proceedings, 2011 – nist.gov … 3) Finally, we use sub-sentential spans automatically obtained from rhetorical parsers that implement Rhetorical Structure Theory(Mann, 1988) to create bulleted summaries for better readability and including more information in less space. … Cited by 1 Related articles All 3 versions
ClaimSpotter: an environment to support sensemaking with knowledge triples B Sereno, SB Shum, E Motta – … of the 10th international conference on …, 2005 – dl.acm.org … interface. The modularity of the architecture means that it should be easy to replace them with more robust iterations. It is indeed planned to replace our own basic rhetorical parser with a state-of-the-art version as found in . By … Cited by 30 Related articles All 12 versions
Semantic annotation support in the absence of consensus B Sereno, V Uren, SB Shum, E Motta – The Semantic Web: Research and …, 2004 – Springer … own 0.61 Table 2. Output from the rhetorical parser with the abstract section of our test document . Each sentence is associated with its most likely category. The column on the far right displays the classifier’s confidence in the prediction (from 0 (uncertainty) to 1 (certainty)). … Cited by 5 Related articles All 15 versions
A multimedia information system to support the discourse analysis of video recordings of television programs MHR Pereira, FLC Pádua, GD Silva… – … (CISTI), 2012 7th …, 2012 – ieeexplore.ieee.org … A. Automatic Discoursive Analysis Among the efforts towards text discoursive analysis automation, one can highlight the development of the first rhetorical parser for journalistic English texts . The developed methodology and the propound formalization consist in the basis of … Related articles
Automatic broadcast news speech summarization SR Maskey – 2008 – cs.columbia.edu … Instead, he built a Rhetorical Structure Theory (RST) trees using a rhetorical parser for unrestricted text that exploits cue phrases. Rhetorical parsers are prone to word errors in the transcript, which has led us to explore corpus-based methods. … Cited by 4 Related articles All 8 versions
An approach for automatic generation of adaptive hypermedia in education with multilingual knowledge discovery techniques E Alfonseca, P Rodríguez, D Pérez – Computers & Education, 2007 – Elsevier … In order to acquire these master documents, the system uses extensively NLP tools such as a semi-automatic parser, a coreference solver and a rhetorical parser, but ultimately the documents are written by “a professional technical writer or Web-document designer”. … Cited by 12 Related articles All 9 versions
[BOOK] Text understanding via semantic structure analysis N Kwon – 2007 – books.google.com Page 1. TEXT UNDERSTANDING VIA SEMANTIC STRUCTURE ANALYSIS by Namhee Kwon Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful?llment … All 4 versions
Discourse analysis of asynchronous conversations SR Joty – 2013 – elk.library.ubc.ca … conversational features. On the other hand, the rhetorical parser captures the coherence structure, a finer discourse structure, by identifying coherence relations between the discourse units within each comment of the conversation. Our … Related articles All 3 versions
Entity Type Modeling for Multi-Document Summarization: Generating Descriptive Summaries of Geo-Located Entities A Aker – 2013 – staffwww.dcs.shef.ac.uk Page 1. Entity Type Modeling for Multi-Document Summarization: Generating Descriptive Summaries of Geo-Located Entities Ahmet Aker A thesis submitted in fulfilment of requirements for the degree of Doctor of Philosophy … Related articles All 4 versions
Coherence-targeted text summarization R Zhang – 2013 – repository.lib.polyu.edu.hk Page 1. Copyright Undertaking This thesis is protected by copyright, with all rights reserved. By reading and using the thesis, the reader understands and agrees to the following terms: 1. The reader will abide by the rules and … Related articles All 2 versions
Automatic evaluation of users’ short essays by using statistical and shallow natural language processing techniques DRP Mar?n – 2004 – eps.uam.es Page 1. Automatic evaluation of users’ short essays by using statistical and shallow natural language processing techniques Advanced Studies Diploma Work Diana Pérez Mar´?n under the supervision of Enrique Alfonseca and Pilar Rodr?guez May, 2004 Page 2. Contents … Cited by 3 Related articles All 7 versions
Epistemology, assessment, pedagogy: where learning meets analytics in the middle space S Knight, S Buckingham Shum… – Journal of Learning …, 2014 – oro.open.ac.uk Page 1. Open Research Online The Open University’s repository of research publications and other research outputs Epistemology, assessment, pedagogy: where learning meets analytics in the middle space Journal Article How to cite: … Related articles All 3 versions
SCHOOL OF GRADUATE STUDIES SCHOOL OF INFORMATION SCIENCES GD DINEGDE – 2012 – apaz-ati.persiangig.com Page 1. ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES SCHOOL OF INFORMATION SCIENCES Afan Oromo news text summarizer BY GIRMA DEBELE DINEGDE A THESIS SUBMITED TO THE SCHOOL OF GRADUTE STUDIES OF … Related articles All 2 versions
Design and evaluation of instructor-based and peer-oriented attention guidance functionalities in an open source anchored discussion system E Eryilmaz, MM Chiu, B Thoms, J Mary, R Kim – Computers & Education, 2014 – Elsevier … evidence on students’ perception of a complex instructional material’s challenging concepts and the quality of collaboratively constructed knowledge focusing on those concepts (see Sereno, Shum, & Motta, 2005 for the design and evaluation of a rhetorical parser that assesses … Cited by 2 Related articles All 3 versions