Stemmer & Dialog Systems


Notes:

  • Porter stemmer
  • Snowball stemmer

Resources:

Wikipedia:

See also:

Stemmer & Chatbots


Chat-bot for college management system using ai
K Bala, M Kumar, S Hulawale… – … Research Journal of …, 2017 – academia.edu
… techniques. They differ mainly from the knowledge sources, the broadness of Dialog Systems (NLDS) is an appropriate and easy way to access information … 4. PROPOSED METHOD Algorithm Used: 1. Porter Stemmer Algorithm Porter …

Dialogue act modeling in a complex task-oriented domain
KE Boyer, EY Ha, R Phillips, MD Wallis… – Proceedings of the 11th …, 2010 – dl.acm.org
… The TRIPS dialogue system also closely integrated task and dialogue models, for example, by utilizing the task model to facilitate indirect … Individual word tokens in the utterances were further processed with the Porter Stemmer (Porter, 1980) in the NLTK package (Loper & Bird …

An affect-enriched dialogue act classification model for task-oriented dialogue
KE Boyer, JF Grafsgaard, EY Ha, R Phillips… – Proceedings of the 49th …, 2011 – dl.acm.org
… Moreover, im- plementing adaptations to student uncertainty with- in a dialogue system can improve the effectiveness of the system (Forbes-Riley … Individual word tokens in the utterances were further processed with the Porter Stemmer (Porter, 1980) in the NLTK package (Loper …

Methods and algorithms for automatic text analysis
VA Yatsko – Automatic Documentation and Mathematical …, 2011 – Springer
… 1 The data were obtained using the online versions of the Porter stemmer (http://qaa/ath.cx/ porter_js_demo.html) and Y stem mer … 3. Nöth, E., Horndasch, A., Gallwitz, F., and Haas, J., Experiences with Commercial Telephone Based Dialogue Systems, Information technology …

Improving interpretation robustness in a tutorial dialogue system
MO Dzikovska, E Farrow, JD Moore – … on Innovative Use of NLP for …, 2013 – aclweb.org
… and (2) the Beetle subset consisting of ut- terances collected from student interactions with the BEETLE II tutorial dialogue system (Dzikovska et al … features, this time computed on the stemmed text to reduce the impact of syntactic variation, using the Porter stemmer from the …

A hybrid algorithm for stemming of Nepali text
C Sitaula – 2013 – scirp.org
… They include Lovins, Porter Stemmer etc … 270-276. H. Mohammad, B. Zuhair, C. Keely and M. David, “An Arabic Stemming Approach Using Machine Learning with Arabic Dialogue System,” ICGST AIML-11 Conference, Dubai, April 2011, pp. 9-16 …

Ingredients and recipe for a robust mobile speech-enabled cooking assistant for german
U Schäfer, F Arnold, S Ostermann, S Reifers – Annual Conference on …, 2013 – Springer
… ingredients, (2) a stemmed version of the latter one, stemmed by the ‘Lucene’ stemmer, (3) the same again, but stemmed by the ‘Snowball’ stemmer … 371–374 (2005) 5. Martins, FM, Pardal, JP, Franqueira, L., Arez, P., Mamede, NJ: Starting to cook a tutoring dialogue system …

Global Journal Of Engineering Science And Researches
K Sreeja, V Sirisha, N Navya, MR Sastry, BVR Murthy… – gjesr.com
… Keywords: Medical Chatbot Natural Language Processing, Porter Stemmer Algorithm, Word Order Similarity Between Sentences … Chatbots are typically used in dialogue systems for various practical purposes including customer service or information acquisition. Page 2 …

Understanding student language: An unsupervised dialogue act classification approach
A Ezen-Can, KE Boyer – Journal of Educational Data …, 2015 – pdfs.semanticscholar.org
… For these reasons, our work has focused for the past several years on unsupervised dialogue act modeling, which has only recently emerged as a research focus within the dialogue systems research community (Ezen-Can and Boyer … We use the Snowball stemmer in this work1 …

Neural dialog state tracker for large ontologies by attention mechanism
Y Jang, J Ham, BJ Lee, Y Chang… – 2016 IEEE spoken …, 2016 – ieeexplore.ieee.org
… We standardize the words by using porter-stemmer and word-net-lemmatizer in NLTK … and Noriaki Horii, “Convolutional neural networks for multi-topic dialog state tracking,” in Pro- ceedings of the 7th International Workshop on Spoken Dialogue Systems (IWSDS), 2016 …

Dialogue Act Modeling in a Complex Task-Oriented Domain
Y Ha, D Michael, A Mladen, C James – people.engr.ncsu.edu
… The TRIPS dialogue system also closely integrated task and dialogue models, for example, by utilizing the task model to facilitate indirect … Individual word tokens in the utterances were further processed with the Porter Stemmer (Porter, 1980) in the NLTK package (Loper & Bird …

Automatic committed belief tagging
V Prabhakaran, O Rambow, M Diab – Coling 2010: Posters, 2010 – aclweb.org
… 5 parentLemma S Parent word’s Lemma 6 parentStem S Parent word stem (Using Porter Stemmer) 7 parentSupertag S Parent word’s super tag … A dialog act repre- sents the communicative intention of the speaker, and its recognition is crucial for the building of dialog systems …

Investigating Paraphrasing Algorithms With Application To Spoken Dialogue Systems
A Chorianopoulou – 2013 – artemis.library.tuc.gr
Page 1. INVESTIGATING PARAPHRASING ALGORITHMS WITH APPLICATION TO SPOKEN DIALOGUE SYSTEMS By Arodami Chorianopoulou DIPLOMA THESIS TECHNICAL UNIVERSITY OF CRETE CHANIA, GREECE OCTOBER 2013 …

Discovering latent structure in task-oriented dialogues
K Zhai, JD Williams – Proceedings of the 52nd Annual Meeting of the …, 2014 – aclweb.org
… BusTime This corpus consists of logs of tele- phone calls between a spoken dialogue system and real bus users in Pittsburgh, USA (Black et al., 2010) … 3We used regular expression to map named entities, and Porter stemmer in NLTK to stem all tokens …

Automated Answer Extraction for Reading Comprehension System Based on Matching Approach
FA Mare, MA Matoug, KM Elsanoussi – Journal of Pure and Applied …, 2018 – sebhau.edu.ly
… and the question answering system has been used in many areas of NLP research as natural language database systems, dialogue systems, reading comprehension … The Porter stemmer is a conflation stemmer developed by Martin Porter at the University of Cambridge in 1980 …

An improved method for detection of satire from user-generated content
STOPT Nafis, S Khanna – 2015 – pdfs.semanticscholar.org
… Recognition of sarcasm may anticipate benefits in many sentiment analysis of NLP applications, such as safe search, review summary reports, engaging dialogue systems and review ranking applications and … Stemming is done using Porter stemmer, which is a part of nltk …

Simple learning and compositional application of perceptually grounded word meanings for incremental reference resolution
C Kennington, D Schlangen – Proceedings of the 53rd Annual Meeting …, 2015 – aclweb.org
… Words were stemmed using the NLTK (Loper and Bird, 2002) Snowball Stemmer, reducing the 296 … by the assumption that in general, a good rank for the correct object is desirable, even if it doesn’t reach the first position, as when integrated in a dialogue system this information …

A new perspective of negotiation-based dialog to enhance metacognitive skills in the context of open learner models
RM Suleman, R Mizoguchi, M Ikeda – International Journal of Artificial …, 2016 – Springer
… studies. The first evaluation study focuses on the dialogue management capabilities of our system and demonstrates that our dialog system works satisfactorily to realize meaningful and natural interactions for negotiation. The …

A deep reinforced model for abstractive summarization
R Paulus, C Xiong, R Socher – arXiv preprint arXiv:1705.04304, 2017 – arxiv.org
… The hyperparameters and other implementation details are described in the Appendix. ROUGE metrics and options: We report the full-length F-1 score of the ROUGE-1, ROUGE-2 and ROUGE-L metrics with the Porter stemmer option …

Learning from student responses: A domain-independent natural language tutor
J McDonald, A Knott, R Zeng, A Cohen – Proceedings of the Australasian …, 2011 – aclweb.org
… Finally the classifier is serialised, along with its associated feaureset parameters and saved for use in the dialogue system itself … Best results were achieved using a combination of the NLTK Porter stemmer on tokenised words, word length, first word, and a custom regular …

Ontbot: Ontology based chatbot
H Al-Zubaide, AA Issa – International Symposium on …, 2011 – ieeexplore.ieee.org
… a computer program that interacts with users using natural Languages [2]. Chatbot systems allow to realize simply a dialogue system based on … can employ one of the most effective and widely used stemming algorithms known as Porter stemming algorithm (or ‘Porter stemmer’) …

A Novel Approach for Smart Shopping Using Clustering-Based Collaborative Filtering
SM Pande, A Gaikwad – 2018 – academia.edu
… One of the most widely used stemming algorithms among them is Porter Stemmer … Any client application having a conversation with user input like Chatbot or any other dialog system can pass user input to a LUIS app and receives a result that provides natural language …

An Intelligent Behaviour Shown by Chatbot System for Banking in Vernacular Languages
M Rajbabu, P Prabhuraj, S Jeyabalan – 2019 – academia.edu
… Natural Language Dialog Systems (NLDs) are an easiest way to access information about the datasets … This proposed chatbot implemented a algorithm called Porter stemmer Algorithm which is used to removing suffixes from words in English …

Structural and Dialogue Act Modeling in Task-Oriented Tutorial Dialogue.
K Boyer – 2010 – repository.lib.ncsu.edu
… direction involves utilizing data-driven approaches for defining the behavior of tutorial dialogue systems based on corpora of effective human tutoring. These data-driven approaches may facilitate rapid dialogue system development, give rise to flexible dialogue …

Representing General Relational Knowledge in ConceptNet 5.
R Speer, C Havasi – LREC, 2012 – lrec-conf.org
… ex- ample, to build a system for analyzing the emotional con- tent of text (Cambria et al., 2010), to create a dialog system for improving … words and reducing the words to a dictionary form (Kudo et al., 2004), and in many European languages we use the Snowball stemmer for that …

A novel feature selection strategy for enhanced biomedical event extraction using the Turku system
J Xia, AC Fang, X Zhang – BioMed research international, 2014 – hindawi.com
… of words (BOW). This feature class is defined as “sentence feature.” The second feature class is “main feature” of the target word, including part of speech (POS) and stem information output by Porter Stemmer [29]. The third …

Cross-language information retrieval
JY Nie – Synthesis Lectures on Human Language …, 2010 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen, Michael McTear 2010 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenji Li, Ruifeng Xu, Zheng-sheng Zhang 2009 …

Identifying relevant cues for uncertainty in dialogue
T Schrank, B Schuppler – spsc.tugraz.at
… to perform this task. As humans make use of such paralinguistic information quite heavily to shape communication, computer systems such as dialogue systems are likely to benefit from its use as well. This thesis provides an …

Improving Classification of Natural Language Answers to ITS Questions with Item-Specific Supervised Learning
BD Nye, M Hajeer, Z Cai – The Twenty-Eighth International Flairs …, 2015 – aaai.org
… In this paper, we focus on evaluating the potential benefits of this approach to classifying human input to an ITS dialog system … The first method used the Treebank tokenizer and Porter stemmer from the Natural Language Toolkit (Porter 1980; Loper and Bird 2002) …

Processing Open Text Input in a Scripted Communication Scenario
FPM Heemskerk – 2019 – dspace.library.uu.nl
… 69 Wiktionary Database . . . . . 69 Snowball stemmer . . . . . 72 Stem All … 75 Wiktionary Database . . . . . 75 Snowball stemmer . . . . . 78 Synonyms …

A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques
CZ Lin, M Ptaszynski, M Fumito, G Leliwa… – ceur-ws.org
… Previous Research Tepperman (2006)’s spoken dialogue system used feature extraction approach for sarcasm detection as a subtask in their system, by … 3. Stemming of all words using Porter Stemmer (2019) 4. Stopwords removal with NLTK built-in Stopwords Filter- ing Tool 5 …

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
M Barz, D Sonntag – arXiv preprint arXiv:1908.10149, 2019 – arxiv.org
… In addition, [23] proposes metacognition models for building self-reflective and adaptive AI sys- tems, eg, dialogue systems, that improve by introspection … 6 We use default word tokenizer, Snowball stemmer and n-gram extraction of the nltk toolkit [3] 7 We use the implementation …

ConceptNet 5: A large semantic network for relational knowledge
R Speer, C Havasi – The People’s Web Meets NLP, 2013 – Springer
… 11] have been used, for example, to build a system for analyzing the emotional content of text [6], to create a dialog system for improving … In many European languages, we use the Snowball stemmer for that language [20] to remove stop words and reduce inflected words to a …

LSTM Based Self-Defending AI Chatbot Providing Anti-Phishing
SS Kovalluri, A Ashok, H Singanamala – Proceedings of the First …, 2018 – dl.acm.org
… To remove the manual annotation task of corpus entirely, recently the Neural network based dialog systems (RNNs and LSTMs) are introduced, which are independent on rules [41] … Also it will perform Stemming by Porter Stemmer [15] algorithm …

Reflection and learning robustness in a natural language conceptual physics tutoring system
A Ward – 2010 – d-scholarship.pitt.edu
Page 1. REFLECTION AND LEARNING ROBUSTNESS IN A NATURAL LANGUAGE CONCEPTUAL PHYSICS TUTORING SYSTEM by Arthur Ward MBA, Carnegie Mellon University MS, Intelligent Systems, University of Pittsburgh Submitted to the Graduate Faculty of …

Information retrieval models: trends and techniques
S Krishnamurthy, V Akila – Web Semantics for Textual and Visual …, 2017 – igi-global.com
… A document is predicted or considered to be relevant if the document terms match exactly with the query expression terms. It is mostly adopted in many systems like library OPAC’s, dialog systems and few search engines. Example … Sometimes porter stemmer is also used …

Sentiment analysis of twitter data using hybrid method of support vector machine and ant colony optimization
J Kaur, SS Sehra, SK Sehra – International Journal of Computer …, 2016 – academia.edu
… or document. Sentiment analysis finds application in systems that present summarization of reviews, dialogue systems, analysis of media applications. It … lower case. Snowball stemmer and stopword filter have also been utilised. C …

Multimodal analysis of user-generated multimedia content
R Shah, R Zimmermann – 2017 – Springer
… Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning …

Designing Service-Oriented Chatbot Systems Using a Construction Grammar-Driven Natural Language Generation System
MC Jenkins – 2011 – ueaeprints.uea.ac.uk
Page 1. Designing Service-Oriented Chatbot Systems Using a Construction Grammar-Driven Natural Language Generation System Marie-Claire Jenkins A thesis submitted for the Degree of Doctor of Philosophy University of East Anglia School of Computing Sciences …

Actor level emotion magnitude prediction in text and speech
RA Calix, GM Knapp – Multimedia tools and applications, 2013 – Springer
… [24], the authors propose a model for detecting the emotional state of a user that interacts with a dialog system … The text features are extracted using python scripts (Table 1), the Stanford parser, and NLTK [5]. All word tokens were stemmed using the Porter Stemmer to reduce …

NLTK essentials
N Hardeniya – 2015 – books.google.com
… translation 63 Statistical machine translation 65 Information retrieval 65 Boolean retrieval 66 Vector space model 66 The probabilistic model 67 Speech recognition 68 Text classification 68 Information extraction 70 Question answering systems 70 Dialog systems 71 Word …

Natural Language Processing: Python and NLTK
N Hardeniya, J Perkins, D Chopra, N Joshi, I Mathur – 2016 – books.google.com
Page 1. Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur Natural Language Processing: Python and NLTK Learning Path Learn to build expert NLP and machine learning projects using NLTK and other Python libraries || || Pockº Page 2 …

The linguistics of sentiment analysis
L Hart – 2013 – pdxscholar.library.pdx.edu
… Two popular stemmers are the Porter Stemmer by Martin Porter22 and the Lancaster Stemmer by Chris Paice and Gareth Husk, examples of which included below.23 24 … Porter stemmer24 what make Argia differ from other citi is ha earth instead of air …

Enhancing Ontology by Integrating Facts from Unstructured Data and Mapping with Linguistic Knowledge
R Devi, D Mehrotra – … Journal of Computing and Digital Systems, 2019 – journal.uob.edu.bh
… 547 http://journals.uob.edu.bh Dzikovska, MO et al. [13] presented a method that of developing spoken dialogue system in multiple … 551 http://journals.uob.edu.bh concepts using Snowball Stemmer algorithm as class and individual concepts are already in their base form [45] …

Towards two-step multi-document summarisation for evidence based medicine: A quantitative analysis
A Sarker, D Mollá-Aliod, C Paris – 2012 – researchonline.mq.edu.au
… where |an Da| represents the number of terms common to a summary and the associated source texts. We first preprocess the text by remov- ing stop words and punctuations, lowercasing all terms and stemming the terms using the Porter stemmer (Porter, 1980) …

Learning proactive behavior for interactive social robots
P Liu, DF Glas, T Kanda, H Ishiguro – Autonomous Robots, 2018 – Springer
… action using a timing threshold. This assumption has been made in HRI (Thomaz and Chao 2011; Chao and Thomaz 2011) and other spoken dialogue systems as well (Raux and Eskenazi 2008). To determine a time threshold …

Network Representation of Latent Features Extracted from Text Documents
O Háva – 2015 – pdfs.semanticscholar.org
… Other problems that have not been solved yet make promising progress. The examples include the machine translation or the sentiment recognition. Nevertheless, many challenging and tough problems like dialog systems still wait for a satisfactory solution …

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
R Arumugam, R Shanmugamani – 2018 – books.google.com
… and conversational chatbots at Evie.ai. He is also a research assistant with the dialog systems group at Laboratory of Artificial Intelligence, Swiss Federal Institute of Technology, Lausanne (EPFL). His research at EPFL was …

Learning dependency-based compositional semantics
P Liang, MI Jordan, D Klein – Computational Linguistics, 2013 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Text analytics in industry: Challenges, desiderata and trends
A Ittoo, A van den Bosch – Computers in Industry, 2016 – Elsevier
… This involves sentence splitting and tokenization with a customized version of NTLK [19], and word stemming with the Snowball stemmer [20]. Documents are represented according to the basic bag-of-words (BoW) model, yielding a term-document matrix (vectors) …

A framework for generating informative answers for question answering systems
ARP Perera – 2018 – openrepository.aut.ac.nz
… Page 9. ix extendable to any natural language generation task, such as description text generation for kiosks, dialogue systems for Intelligent Personal Assistants (IPA), patient summary generation in eHealth, and narrative generation in eLearning applications. Page 10 …

Domain-and Language-adaptable Natural Language Controlling Framework
P Barabás, I Juhász – 2013 – hjphd.iit.uni-miskolc.hu
… vi QLF Quasi-Logical Form RDF Resource Description Framework SDK Software Development Kit SDS Speech Dialog System SNLP Stanford NLP SNLPG Stanford Natutal Language Processing Group SPO Subject-Predicate-Object SRM Semantic Representation Model TAG …

Deep keyphrase generation
R Meng, S Zhao, S Han, D He, P Brusilovsky… – arXiv preprint arXiv …, 2017 – arxiv.org
… data records. Note that, when determining the match of two keyphrases, we use Porter Stemmer for pre- processing. 5 Results and Analysis We conduct an empirical study on three different tasks to evaluate our model. 5.1 Predicting …

Universal Semantic Web Assistant based on Sequence to Sequence Model and Natural Language Understanding
SV Prajwal, G Mamatha, P Ravi… – 2019 9th International …, 2019 – ieeexplore.ieee.org
… The splicing of words is obtained by Porter Stemmer algorithm and matrix is formed … This incorporates multi- dialog system models which are able to integrate the messages with video, video with text. Similarly, it can identify the different inputs given by the user …

Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP
RM Reese, AS Bhatia – 2018 – books.google.com
… a StopWords class 61 Using LingPipe to remove stopwords 64 Using stemming 65 Using the Porter Stemmer 66 Stemming … You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and other things …

Domain-And Language-Adaptive Natural Language Controlling Framework
P Barabás – 2013 – 193.6.1.94
… vi OWL Web Ontology Langauge POI Point Of Interests POS Part-Of-Speech QLF Quasi-Logical Form RDF Resource Description Framework SDK Software Development Kit SDS Speech Dialog System SNLP Stanford NLP SNLPG Stanford Natutal Language Processing Group …

Open-source resources and standards for Arabic word structure analysis: Fine grained morphological analysis of Arabic text corpora
MSS Sawalha – 2011 – etheses.whiterose.ac.uk
Page 1. Open-source Resources and Standards for Arabic Word Structure Analysis: Fine Grained Morphological Analysis of Arabic Text Corpora By Majdi Shaker Salem Sawalha Submitted in accordance with the requirements for the degree of Doctor of Philosophy …

Developing Interactive Cross Lingual Information Retrieval Tool
MS Mortaja – Developing Interactive Cross Lingual …, 2017 – iugspace.iugaza.edu.ps
Page 1. Developing Interactive Cross Lingual Information Retrieval Tool Mohammed MS Mortaja Supervisor Mohammad A. Mikki Professor of Computer Engineering A Thesis …

Structural Modeling of Technical Text Analysis and Synthesis Processes
R Bekesh, L Chyrun, P Kravets, T Batiuk, I Peleshchak… – ceur-ws.org
… One of the modern variants of realization of wordless morphology in pure form is Porter stemmer … accuracy of the analysis should prevail over its completeness, and to the transition to the use of dictionary morphologies in tasks such as machine translation and dialogue systems …

Tag Recommendation for Short Arabic Text by Using Latent Semantic Analysis of Wikipedia
YKA Samra – Tag Recommendation for Short Arabic Text by …, 2017 – iugspace.iugaza.edu.ps
Page 1. Tag Recommendation for Short Arabic Text by Using Latent Semantic Analysis of Wikipedia Yousef K. Abu Samra Supervised By: Dr. Iyad M. Alagha Assistant Professor of Computer Science …

Automatic irony-and sarcasm detection in Social media
E Forslid, N Wikén – 2015 – diva-portal.org
… As the example demonstrate, a stem does not necessarily has to be a word. The suffix stripping algorithm used for providing this example is the Porter Stemmer, from the python library NLTK, based on the algorithm developed by Martin Porter [Porter, 1980] …

Which techniques does your application use?: An information extraction framework for scientific articles
S Dan, S Agarwal, M Singh, P Goyal… – arXiv preprint arXiv …, 2016 – arxiv.org
… semantic role labeling, in- formation retrieval, entity recognition, word alignment, conditional random fields, maximum entropy, corefer- ence resolution, machine learning, dialogue systems, tex- tual … The Porter stemmer is used on the bag- of-words for each area and the query …

Capturing common knowledge about tasks: Intelligent assistance for to-do lists
Y Gil, V Ratnakar, T Chklovski, P Groth… – ACM Transactions on …, 2012 – dl.acm.org
Page 1. 15 Capturing Common Knowledge about Tasks: Intelligent Assistance for To-Do Lists YOLANDA GIL and VARUN RATNAKAR, University of Southern California TIMOTHY CHKLOVSKI, Factual Inc. PAUL GROTH, Free …

Deep Sentiment Representation Through Char-level CNN and LSTM
PKR Appalapuri – 2019 – pdfs.semanticscholar.org
… sentiment analysis are sentiment concerning products, politicians, and companies, improving customer relation models and improving automatic dialogue systems … 6http://snowball.tartarus. org/algorithms/porter/stemmer.html 7https://spacy.io/api/annotation#section-pos-tagging …

Data-driven HRI: Learning social behaviors by example from human–human interaction
P Liu, DF Glas, T Kanda… – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
… Data-driven dialogue systems have been demonstrated in robots that infer meanings from spoken utterances … To achieve this, we performed several steps that are standard in text processing: We removed stop words, applied a Porter stemmer [40] to remove conjugations …

Applications in Intelligent Speech Analysis
B Schuller – Intelligent Audio Analysis, 2013 – Springer
… Discrimination of speech and non-linguistic vocalisations such as laughter or sighs plays an important role in speech recognition systems dealing with spontaneous speech, such as dialogue systems, call centre loops or automatic transcription of meetings …

Managing misspelled queries in IR applications
J Vilares, M Vilares, J Otero – Information processing & management, 2011 – Elsevier
… methodology. 1. Introduction. Many information retrieval (IR) applications such as information extraction, question answering and dialog systems require user queries to be congruent with the documentary databases we are exploiting …

A data-driven approach to automatic tweet generation about traffic incidents
MK Tran – 2016 – summit.sfu.ca
… Some applications belonging to this category are text summarization, dialogue systems and automatic question generation. The MATCH dialogue system [12, 45] is an NLG system that gives users restaurant rec- ommendations …

Automated quality assurance of non-functional requirements for testability
A Rashwan – 2015 – spectrum.library.concordia.ca
Page 1. AUTOMATED QUALITY ASSURANCE OF NON-FUNCTIONAL REQUIREMENTS FOR TESTABILITY ABDERAHMAN RASHWAN A THESIS IN THE DEPARTMENT OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING …

Keyphrase Generation with Cross-Document Attention
S Diao, Y Song, T Zhang – arXiv preprint arXiv:2004.09800, 2020 – arxiv.org
Page 1. Keyphrase Generation with Cross-Document Attention Shizhe Diao?? , Yan Song?, Tong Zhang? ?The Hong Kong University of Science and Technology {sdiaoaa, tongzhang}@ust.hk ?Sinovation Ventures songyan@chuangxin.com Abstract …

Sabbiu Shah (070/BCT/531) Sagar Adhikari (070/BCT/533) Samip Subedi (070/BCT/536)
U Chalise – 2017 – researchgate.net
… human would behave as a conversational partner, thereby passing the Turing test. Chatterbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. The classic …

State-of-the-Art Approaches for German Language Chat-Bot Development
N Boisgard – 2018 – ec.tuwien.ac.at
… conversational systems. 2.2.1 Conversational Systems Conversational system, also known as dialog systems, are computer programs which communicate with users using natural language [Jurafsky and Martin, 2017a]. They fall …

Extracting Concepts and Constructing Ontology from Software Engineering Research Papers
GK Chabada – 2019 – search.proquest.com
… There are various stemming algorithms and the output of a stemmer will be different based on the stemmer used. One of the most popular stemming algorithms is the Porter stemmer [22]. It works by applying a set of rules in a cascaded fashion to the input word [22] …

Data-Driven HRI: Reproducing interactive social behaviors with a conversational robot
CC Liu – 2017 – ir.library.osaka-u.ac.jp
Page 1. Title Data-Driven HRI : Reproducing interactive social behaviors with a conversational robot Author(s) Liu, Chun Chia Citation Issue Date Text Version ETD URL https://doi.org/10.18910/61827 DOI 10.18910/61827 rights Note …

Mixed-initiative clustering
Y Huang – ProQuest LLC, 2010 – researchgate.net
… If we want to embed natural language communication in mixed-initiative clustering, it is necessary to design a dialogue system capable of discussing a clustering task, but that would divert the main focus of this study. On the other hand, a human user is more in …

Discovery of topic flows of authors
YS Jeong, SH Lee, G Gweon, HJ Choi – The Journal of Supercomputing, 2017 – Springer
… The articles contained only abstracts, not the full texts. We removed stop-words, punctuations and numbers. All the words were lowercase, and we performed stemming by Porter stemmer. Words and authors that appeared less than three times in a dataset were removed …

Using Figurative Language and Other Co-textual Markers for the Automatic Classification of Irony
A Cattle – 2014 – s-space.snu.ac.kr
… HWL or HSL. Finally, the Thesaurus-Expanded Hyperbole Stem List (TEHSL) consists of 1273 word stems generated by removing inflections from TEHWL words, again using the Porter Stemmer. For each tweet the frequency of each HWL and TEHWL …

Natural Language Processing, Understanding, and Generation
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… There are slight differences in the quality of output from both algorithms. For example, in the following example, the Porter stemmer converts the word “sustenance” into “sustain” while the Lancaster stemmer outputs “sust.” words …

Semi-automatic ontology construction
B Fortuna – Polaytomatska gradnja ontologij: doktorska dis …, 2011 – researchgate.net
… including automated ontology population with named entities [78], semi-automatic ontology extension based on the user-interactive dialogue system for knowledge acquisition [3], augmenting Cyc ontology using pattern matching and link analysis [4] …

Computational methods in semantics
G Recski – 2016 – pdfs.semanticscholar.org
Page 1. Computational Methods in Semantics Gábor Recski Ph.D. Dissertation Supervisor: András Kornai D.Sc. Ph.D. School of Linguistics Gábor Tolcsvai Nagy MHAS Theoretical Linguistics Ph.D Program Zoltán Bánréti C.Sc. Department of Theoretical Linguistics …

Contributions to Speech Analytics based on Speech Recognition and Topic Identification
JDE Correa – 2015 – core.ac.uk
Page 1. UNIVERSIDAD POLITÉCNICA DE MADRID ESCUELA TÉCNICA SUPERIOR DE INGENIEROS DE TELECOMUNICACIÓN CONTRIBUTIONS TO SPEECH ANALYTICS BASED ON SPEECH RECOGNITION AND TOPIC IDENTIFICATION PH.D. THESIS …

To the University Council: The Dissertation Committee for Mihai Cosmin Lintean certifies that this is the final approved version of the following electronic …
V Rus – 2011 – lintean.neocities.org
… 2002) and clustering, to natural language generation (Iordanskaja, Kittredge, and Polguere 1991) and conversational agent/dialogue system in intelligent virtual tutoring (Graesser et al. 2005; McNamara, Boonthum, and Millis 2007). For example, in Intelligent …

A Sarcasm Detection Framework in Twitter and Blog posts Based on Varied Range of Feature Sets
H Minaee – 2016 – pdfs.semanticscholar.org
… In [15], another feature called vocabulary used to detect the tone of the text. To capture the most occurred tonic phrases they used porter stemmer to stem all the words and then, they compiled a list all unigrams and bigrams in their training set …

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