Morphological Analysis & Chatbots 2019


Notes:

  • Morphological Analyser
  • Morphological Analysers
  • Morphological Analyzer
  • Morphological Analyzers

Wikipedia:

See also:

Morphological Generation & Dialog Systems


CHEERBOT: A Step Ahead of Conventional ChatBot
CB Maniyar, CM Bhatt, TN Pandit… – Next-Generation Wireless …, 2019 – igi-global.com
… Syntactic Analysis This phase use the output of morphological analysis as an input to build a structural description of a sentence … Retrieved from https://apps.worldwrit- able.com/tutorials/chatbot/ Dasgupta, PB (2017) … Two case studies in using chatbots for security training …

Chat-bot-based natural language interface for blogs and information networks
M Poongodi, V Vijayakumar… – … Journal of Web …, 2019 – inderscienceonline.com
… is a supporting fact that the need of NL-SQL interfacing chat-bots on social … The proposed research work aims a designing and building a chat-bot which, with which … this design, the pre-processing phase includes four modules, such as morphological analysis, semantic analysis …

Russian Language Neural Net Chatbot with Natural Language Processing
N Ismoilov, ME Semenov – … Technology (IFOST-2019), October 14-17 …, 2019 – earchive.tpu.ru
… 2. The better type of building a neural network is called «End-to-End» Systems. These are chatbots that use one system that trained on one dataset … III. IMPLEMENTATION In this step our chatbot prototype is working in command line interface … morphological analysis …

Building Chatbots with Python
S Raj, S Raj, Karkal – 2019 – Springer
… Nitin Solanki has extensive experience in Natural Language Processing, Machine Learning, and Artificial Intelligence Chatbot development. He has developed AI chatbots in various domains, such as healthcare, e-commerce, education and law firms, and more …

Natural Language Processing and chat-bot implementation
P Eyno – 2019 – theseus.fi
… Customer service type of a chat bot can be used with chat applications, which are ac- cessible from a smartphone, or can be integrated directly to a website. Popular examples are ChatBot, Claire.AI, Twyla. Such chat bots save time and money for users and businesses …

Keyword Retrieval-Based Korean Text Command System Using Morphological Analyzer
DG Park, WB Lee – Journal of the Korea Convergence Society, 2019 – koreascience.or.kr
… commands. The system consists of two components. One is a morphological analyzer to analyze sentence morphemes and the other is a retrieval based model which is usually used to develop a chatbot system. Experimental …

A chatbot for the banking domain
P Schmidtová – 2019 – dspace.cuni.cz
… On the other hand, corpus-based chatbots use statistical methods in order to provide answers … In this chapter, we will describe the natural language understanding com- ponent of the chatbot … type Token3 covered each token and the results of the morphological analysis (such as …

Natural Language Processing for Chatbots
S Raj – Building Chatbots with Python, 2019 – Springer
… VB. xcomp. xxxx. True. False. chatbots. chatbot. NOUN. NNS. dobj. xxxx. True. False … X. other. sfpksdpsxmsa. SPACE. space. So why is POS tagging needed for chatbots … Lemmatization tries to do the job more elegantly with the use of a vocabulary and morphological analysis of words …

Chatbot in English Classrooms
M Vogel, I Nussbaumer – fhnw.ch
… To identify the root form, a language- specific vocabulary and morphological analysis is conducted … the development of a chatbot for an ESL setting: While the chatbot relies on correct language input, learners tend to disregard language rules when communicating with chatbots …

An Online Comment Assistant for a Better Comment Experience
JY Choi, Y Kang, K Lee – International Conference on Human-Computer …, 2019 – Springer
… Results show that chatbots designed in this study can provide more information than existing comment presentation systems, search for … The morphological analysis package provided by KoNLPy includes Hannanum, Kkma, Komoran, Mecab, and Twitter Class … Chatbot Structure …

Towards Smart LMS to Improve Learning Outcomes Students Using LenoBot with Natural Language Processing
DF Murad, AG Iskandar, E Fernando… – 2019 6th …, 2019 – ieeexplore.ieee.org
… at this stage are the basic units that are forward to all further processing stages, from analysis and tagging of components, such as morphological analyzers and parts … Developing a Chatbot for College Student Programme Advisement … The Role of Chatbots in Formal Education …

Question Understanding Based on Sentence Embedding on Dialog Systems for Banking Service
KJ Oh, HJ Choi, S Kwon, S Park – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… are trying to automate customer counseling service utilizing dialog system and chatbot in various … it deals only with a question understanding unit in the chat bot for customer … basic Natural language processing such as POS tag- ging, morphological analysis, sentence embedding …

Understanding EFL Linguistic Models through Relationship between Natural Language Processing and Artificial Intelligence Applications.
MS Keezhatta – Arab World English Journal, 2019 – academia.edu
… engages in reading, deciphering, and making sense of the human languages by machine operations like online chatbots, text summarization … ii. Morphology Many studies have recommended the use of morphological analyzers to accomplish NLP tasks in larger linguistic …

MSc in Computer Science
RB Sulaiman – researchgate.net
… 29 Page 7. 7 | Page 2.6.2.1 MORPHOLOGICAL ANALYSIS ….. 29 2.6.2.2 TOKENIZATION ….. 30 … Chatbot technology ? Types of chatbot ? Comparison of chatbots ? Functions of chatbot …

FiST–towards a free Semantic Tagger of modern standard Finnish
K Kettunen – Proceedings of the Fifth International Workshop on …, 2019 – aclweb.org
… 74 It would be desirable, that the morphological analyzer returned compounds both as wholes and split, as it would make search of … Semantic Tagger of UCREL has been successfully utilized for content analysis, analysis of online language, training chatbots, ontology learning …

Joining the blocks together–an NLP pipeline for CALL development
M Ward – CALL and complexity, 2019 – books.google.com
… NLP is a broad field and includes text to speech technology, grammar checkers, machine translation, and artificial intelligence chatbots, to name … This paper reports on how two NLP tools (a morphological analyser and a parser) were joined together to produce an NLP pipeline …

An Approach to Cluster Tamil Literatures Using Discourse Connectives
R Anita, CN Subalalitha – 2019 IEEE 1st International …, 2019 – ieeexplore.ieee.org
… The clusters stand as a strongest base on top of which various semantic representation could be built such as Question Answering systems, Chatbots, Information Retrieval systems … “Morphological analyzer for Tamil.” In International Conference on Natural language Processing …

A Research Project on The Mathematical and Statistical Procedures for Bengali Informative Intelligence Bot
M Kowsher – academia.edu
… They also said about the low cost and configuration of AIML based chatbots … This chatbot also called question related chatbot or search engines. The best morphological analyzer for Russian, My stem, is based on Zalizniak grammatical dictionary [24] …

A Book on Mathematical and Statistical Procedures for Bangla Optimized Intelligence Bot
M Kowsher – Noakhali Science and Technology University, 2019 – papers.ssrn.com
… They also said about the low cost and configuration of AIML based chatbots … This chatbot also called question related chatbot or search engines. The best morphological analyzer for Russian, My stem, is based on Zalizniak grammatical dictionary [24] …

A morpho-syntactically informed lstm-crf model for named entity recognition
L Simeonova, K Simov, P Osenova, P Nakov – arXiv preprint arXiv …, 2019 – arxiv.org
… Language Processing (NLP) tasks such as Ques- tion Answering, Information Extraction, Machine Translation, Dialog Systems, and chatbots, where it … modeling also proved to be working in Czech, as their best results used features based on morphological analysis, two-stage …

Using the Web to Model Modern and Qur?anic Arabic
E Atwell – Arabic Corpus Linguistics, 2019 – books.google.com
… Similarly, the SALMA morphological analysis toolkit (discussed below) implements a computational model based on traditional Arabic … 4.2 Arabic corpus-trained chatbots An unusual use of corpora was to train web-based machine-learning chatbot systems (Abu Shawar …

Masdar: A Novel Sequence-to-Sequence Deep Learning Model for Arabic Stemming
MM Fouad, A Mahany, I Katib – Proceedings of SAI Intelligent Systems …, 2019 – Springer
… This can be found in many tasks such as translation from one language to another, question answering and developing chatbots for automatic replies … 48, 157–217 (2017)CrossRefGoogle Scholar. 7. Darwish, K.: Building a shallow Arabic morphological analyzer in one day …

Formation of SQL from natural language query using NLP
M Uma, V Sneha, G Sneha, J Bhuvana… – … Intelligence in Data …, 2019 – ieeexplore.ieee.org
… Another important application of NLP is chatbot (Chat Robot) that can be used for … The input natural language query initially undergoes morphological analysis then semantic analysis which is followed … accessed using JOIN keyword; It could be used to create chatbots for various …

Computational Linguistics: Analysis of The Functional Use of Microsoft Text Word Processor Text Corrector
PCD Silva, RLP Teixeira, VOAV Boas – International Journal of …, 2019 – ceeol.com
… The chatbot – a chat robot that simulates a Page 10 … This is a crucial feature for a morphological analyzer since new words constantly appear in the languages, not speaking of possible incompleteness of the dictionary (Ledeneva, Y, Sidorov, G. 2010, p.6) …

Application of stemming methods to development a module of a post-processing of recognized speech in intelligent automated system for dialogue and decision …
A Tarasiev, E Talancev, K Aksyonov… – … Multi-Conference on …, 2019 – ieeexplore.ieee.org
… almost any subject area, for example, to create an automated robot – the operator of the call center or smart chat bots, assistants and … The essence of the primary processing of the second stage of text analysis is the use of simple algorithms for automated morphological analysis …

Modeling Machine Learning Agent for Interaction Conversational System Using Max Entropy Approach in Natural
AK Negi, SI Hassan – Data Communication and Networks …, 2019 – books.google.com
… There is a call center interface required where user come and interact with machine learning chatbot for registering his complaint … POS Tagging using Machine Learning.[11] introduced in 2014 the Tokenization and POS Tagging using the morphological analyzer.[12] introduced …

Keyword Extraction From Malayalam News Articles Using Conditional Random Fields
P Rohith, SS Kumar, RC Anju – 2019 Second International …, 2019 – ieeexplore.ieee.org
… there is no such existing system for Malayalam due to unavailability of annotated corpora, effective stemmers, morphological analyzers and parsers in … In the future this system can be integrated with text mining, sentiment analysis, chat bots etc, to improve their performance …

An Improved Word Representation for Deep Learning Based NER in Indian Languages
A AP, S Mary Idicula – Information, 2019 – mdpi.com
… difficult to handle. Non-availability of resources like standard datasets, POS taggers, morphological analyzers, dictionaries and so forth, are also a hindrance to the development of NER systems for Indian Languages. Since Indian …

CARES (Computerized Avatar for Rhetorical & Emotional Supervision)
A Mittal, S Gupta, GK Anusurya – 2019 – academia.edu
… Key Words: Avatar, Human-Computer interaction, Chatbot, Computerized Human, Phonetic Recognition Algorithm, Eye-blink motion algorithm, Facial Animation Parameters … face in a fairly different way from that of usual standards of Mesh model for Morphological Analysis of the …

Identifying facts for chatbot’s question answering via sequence labelling using recurrent neural networks
M Nuruzzaman, OK Hussain – Proceedings of the ACM Turing …, 2019 – dl.acm.org
… Then the second module is a morphological analysis that starts with a dictionary. This step assigns all possible POS tags to words from the dictionary … Page 3. Identifying Facts for Chatbot’s Question Answering via Sequence labelling Using Recurrent Neural Networks …

Artificial intelligence in pathology
HY Chang, CK Jung, JI Woo, S Lee, J Cho… – Journal of pathology …, 2019 – ncbi.nlm.nih.gov
… A script-based chatbot named ELIZA was proposed in 1966 [20] … In order to get a consistent and possibly more accurate diagnosis, it is natural to introduce algorithmic intelligence in the pathology domain, at least in the morphological analysis of tissues and cells …

Training Set Expansion Using Word Embeddings for Korean Medical Information Extraction
YM Kim – … Data Management, Polystores, and Analytics for …, 2019 – Springer
… at this point because many of disease names are compound words, which can be easily decomposed when applying morphological analysis … This work is partially supported by two projects, Smart Multimodal Environment of AI Chatbot Robots for Digital Healthcare (P0000536 …

Proposed Model for Arabic Grammar Error Correction Based on Convolutional Neural Network
A Solyman, Z Wang, Q Tao – 2019 International Conference on …, 2019 – ieeexplore.ieee.org
… sequence (seq2seq) or decoder-encoder model [13], has successfully applied in applications such as online chatbots, Google Translate … improves the search performance and reduce the size of resources through the pattern-matching algorithms and the morphological analysis …

Survey on publicly available sinhala natural language processing tools and research
N de Silva – arXiv preprint arXiv:1906.02358, 2019 – arxiv.org
… [111]. 3.5 Morphological Analyzers As shown in Fig 1, morphological analysis is a ground level necessary component for natural language processing. Given that Sinhala is a highly inflected language [22, 37, 38], a proper morphological analysis process is vital …

Dialogue System for Service Desk of Complex Software Systems Based on Relational Concept Analysis
A Beresnev, A Zhdankin, A Lobantsev… – Proceedings of the …, 2019 – dl.acm.org
… 4 http://forum.kpda.ru 33 Page 4. morphological analysis. However, the latter is a strongly language- dependent procedure, which could limit the application of the developed technique for other languages … “Programming challenges of chatbot: current and future prospective” …

Research of Neural Network Methods of Text Information Classification
VL Litvinov – 2019 III International Conference on Control in … – ieeexplore.ieee.org
… one label. For example, morphological analysis, when words are assigned to the corresponding part of speech. When classifying … another language). These networks are the basis of modern translation systems and chatbots. In this …

An Example of Pragmatic Analysis in Natural Language Processing: Sentimental Analysis of Movie Reviews
CS Sütçü, C Aytekin – CTC 2019, 2019 – academia.edu
… Apple’s Siri for natural language processing applications, IBM’s Watson, ChatBots developed for different sectors, search engine … of resources have been developed that can be used in Turkish natural language processing: Morphological Analysis, Morphological Unification …

Opinion Analysis in Interactions: From Data Mining to Human-Agent Interaction
C Clavel – 2019 – books.google.com
… 8 1.3.2. The WoZ H–A negotiation corpus . . . . . 9 1.3.3. The UE-HRI human–robot corpus . . . . . 10 1.4. Written H–A corpus: chatbot . . . . . 15 1.5. Comparative study of different corpora …

Natural Language Processing for Government: Problems and Potential
Y Wijeratne, N de Silva, Y Shanmugarajah – 2019 – researchgate.net
… Morphological Analysis PoS tagging … 8 2 Thesis: a case for NLP 2.2.3 Automated crime reporting and government chatbots … A similar example is OpenDataKC2, a government of Kansas City chatbot that can find in- formation from Kansas’s City’s open data archive3 on request …

Dialogue breakdown detection robust to variations in annotators and dialogue systems
J Takayama, E Nomoto, Y Arase – Computer Speech & Language, 2019 – Elsevier
… For the variationality, different chat-bots show different characteristics in their responses … Chat dialogue corpus (1146 dialogues). Consists of dialogues collected using the chat-bot API provided by NTT Docomo (DCM) … MeCab 2 is used for Japanese morphological analysis …

Political Campaigns, Social Media, and Analytics: The Case of the GDPR
N Dimisianos – Politics and Technology in the Post-Truth Era, 2019 – emerald.com
… Morphological analysis is of paramount importance since whenever texts are processed, positive and negative scores are assigned differently depending on the … Chatbots, digital avatars, and of course the Internet of Things are some of the existing technologies which are very …

KEFST: a knowledge extraction framework using finite-state transducers
A Mahmood, HU Khan, ZU Rehman, K Iqbal… – The Electronic …, 2019 – emerald.com
… as stemming, part of speech (POS) tagging and morphological analysis (Santos and Guimarães, 2015). NER is helpful in various applications, such as information management systems (Marrero et al., 2013), question answering systems (Yih et al., 2013), online chatbots (Yu et …

Measuring the effects of emojis on Turkish context in sentiment analysis
ÇÜ Yurtoz, IB Parlak – … on Digital Forensics and Security (ISDFS …, 2019 – ieeexplore.ieee.org
… in a sentiment set might have different definitions and might cause errors in automatic text generation, question & answering systems, chatbots and summarization tasks … 10] K. Oflazer, “Error-tolerant finite-state recognition with applications to morphological analysis and spelling …

Neural Approaches for Syntactic and Semantic Analysis
S Kurita – 2019 – repository.kulib.kyoto-u.ac.jp
… 3 In contrast to the fundamental analysis, studies for some applications systems such as machine translation, question-answering, chatbots and searching systems are called application studies … ????????? Input Morphological Analysis Dependency Parsing …

Discovery of knowledge of associative relations using opinion mining based on a health platform
JC Kim, K Chung – Personal and Ubiquitous Computing, 2019 – Springer
Page 1. ORIGINAL ARTICLE Discovery of knowledge of associative relations using opinion mining based on a health platform Joo-Chang Kim1 & Kyungyong Chung2 Received: 27 September 2018 /Accepted: 3 May 2019 © Springer …

Linguistic classification: dealing jointly with irrelevance and inconsistency
L Franzoi, A Sgarro, A Dinu, LP Dinu – 12th International Conference on …, 2019 – arts.units.it
… Ilvovsky . . . . . 373 On a Chatbot Providing Virtual Dialogues Boris Galitsky, Dmitry Ilvovsky and Elizaveta Goncharova . . . . . 382 Assessing …

Development of AI-based Real Time Agent Advisor System on Call Center-Focused on N Bank Call Center
KD Ryu, JP Park, Y Kim, DH Lee… – Journal of the Korea …, 2019 – koreascience.or.kr
… Conversation Process[12,19-20] goal-oriented dialogue processing, Chatbot, Question and answering technology … ?? ?, IRQA? ??? ??? ?? ???? ??? ?? ?(Morphological Analyzer)? ??? ???(NER, Named Entity Recognizer)? ??? ?????? …

Artificial intelligence systems for programme production and exchange
BT Series – 2019 – xn—-vmcebbajlc6dj7bxne2c.xn …
… This AI application uses open source programmes and application programming interfaces (APIs) for morphological analysis and speech recognition … In 2017, Nippon TV, a commercial broadcaster in Japan, provided an SNS application service using a chatbot (chat robot) …

Acquisition of Knowledge with Time Information from Twitter
K Yamamoto, K Shimada – 2019 International Conference on …, 2019 – ieeexplore.ieee.org
… [13] have proposed a neural chatbot system with knowledge about season type information … Therefore, we extract verbs and verb-object pairs from tweets (hereinafter this is called “ActEvn words”.) We use a morphological analyzer, MeCab5, for the ActEvn word extraction …

More general evaluation of a client-centered counseling agent
T Horii, Y Sakurai, E Sakurai, S Tsuruta… – 2019 IEEE World …, 2019 – ieeexplore.ieee.org
… Figure 2. System Architecture After the client inputs the text, a morphological analysis is performed using Mecab, and ML-Ask (emotion analysis) is performed at the same time … The questionnaire was completed after each time participants used one of the chatbots …

Scenarios for digital marketing: a Delphi-based analysis for 2028
M Kuusinen – 2019 – lutpub.lut.fi
Page 1. LAPPEENRANTA UNIVERSITY OF TECHNOLOGY LUT School of Business Master´s in Strategy, Innovation and Sustainability Master´s Thesis SCENARIOS FOR DIGITAL MARKETING – A DELPHI-BASED ANALYSIS FOR 2028 Mira Kuusinen, 2019 …

Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
P ?elasko, J Mizgajski, M Morzy, A Szymczak… – arXiv preprint arXiv …, 2019 – arxiv.org
… When humans are aware that the other party is a machine (as is the case in dialogue chatbot interfaces), they tend to speak in short, well-structured turns following the subject-verb- object (SVO) sentence structure with a minimal use of relative clauses (Hill et al., 2015) …

FAQ retrieval using query-question similarity and BERT-based query-answer relevance
W Sakata, T Shibata, R Tanaka… – Proceedings of the 42nd …, 2019 – dl.acm.org
… The morphological analyzer Juman++3 was applied to input texts for word segmentation, and words were broken into sub- words by applying BPE [6]. For English BERT pre … Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots …

Extracting RDF Triples from Raw Text
YA Akter, MA Rahman – 2019 1st International Conference on …, 2019 – ieeexplore.ieee.org
… triples then can be used for constructing knowledge graph and creating intelligent Question Answering (QA) systems and chatbots … Hajic and J. Straková, “UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging …

VICA, a visual counseling agent for emotional distress
Y Sakurai, Y Ikegami, M Sakai, H Fujikawa… – Journal of Ambient …, 2019 – Springer
… extraction. However, even such a state-of art social chatbot has rather just simple emotional connection with users … situation: a. the input text which was handed is taken in. b. Morphological analysis of the grammatical sentence structure. c …

A Question-Answering System for Applicant Support Using Modern Messaging Apps
DR Filonov, DJ Chalyy, DM Murin, VG Durnev… – Automatic Control and …, 2019 – Springer
… Filonov, DR and Tupikin, VI, Chat bot for Telegram to help university applicants, Zametki Mat … Korobov, M., Morphological analyzer and generator for Russian and Ukrainian languages, in Analysis of Images, Social Networks and Texts, Springer International Publishing, 2015, pp …

CHAPTER FIFTEEN FUNCTIONAL LINGUISTIC BASED MOTIVATIONS FOR A CONVERSATIONAL SOFTWARE AGENT KULVINDER PANESAR
K Panesar – Linguistic Perspectives on the Construction of …, 2019 – books.google.com
… The dialogue system (DS) component is a more refined “intelligent” version of a Chatbot, where the NL input must be … A range of NLP manipulations include tokenisation, sentence splitting, part-of-speech-tagging, morphological analysis, syntactic and semantic parsing …

A survey on question answering systems over linked data and documents
E Dimitrakis, K Sgontzos, Y Tzitzikas – Journal of Intelligent Information …, 2019 – Springer
… We can distinguish such systems to chatbots which are used mainly for fun (starting from the 1966 system ELIZA 1966) and … Morphological analysis aims at separating words into individual units called mor- phemes, which are the smallest grammatical units in a language, eg …

Dialogue Systems and Conversational Agents for Patients with Dementia: The Human–Robot Interaction
A Russo, G D’Onofrio, A Gangemi, F Giuliani… – Rejuvenation …, 2019 – liebertpub.com
… Although out of the scope of this discussion, speech synthesis is still a complex task, where speech generation is preceded by a text analysis stage that includes text seg- mentation and normalization, morphological analysis, and the modeling of continuous speech effects, with …

Intent Based Utterance Segmentation for Multi IntentNLU
A Sethupat Radhakrishna – 2019 – conservancy.umn.edu
… Both phrases are parsed by NLU separately and both pieces of information can be used by the chatbot. Page 15 … 13 NLP task applications such as morphological analyzers, parts of speech taggers, text parsers, speech to text converters and information retrieval systems. [27] …

Intent Based Utterance Segmentation for Multi IntentNLU
AS Radhakrishna – 2019 – search.proquest.com
… Both phrases are parsed by NLU separately and both pieces of information can be used by the chatbot. Page 16 … 13 NLP task applications such as morphological analyzers, parts of speech taggers, text parsers, speech to text converters and information retrieval systems. [27] …

Detection of Difficult for Understanding Medical Words using Deep Learning
H Pylieva – 2019 – er.ucu.edu.ua
Page 1 …

Deep learning model for unstructured knowledge classification using structural features
W Joo, KS Choi, YK Kim – Personal and Ubiquitous Computing, 2019 – Springer
… Text classification can be applied to solve various problems. For example, chatbots are used to analyze customer inquiries and provide optimal an- swers … Feature extraction, pre-processing Word2vec/genism, numpy, pandas, KoNLPy (morphological analysis), nltk …

Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
S Sava?, N Topalo?lu, Ö Kazc?, PN Ko?ar – academia.edu
… in many applications such as driverless vehicles, health services, film suggestions, translation services, chatbot, page suggestions … CI Christodoulou, SK Kakkos, & A. Nicolaides, Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images …

S2?Net: Machine reading comprehension with SRU?based self?matching networks
C Park, C Lee, L Hong, Y Hwang, T Yoo, J Jang… – ETRI …, 2019 – Wiley Online Library
Machine reading comprehension is the task of understanding a given context and finding the correct response in that context. A simple recurrent unit (SRU) is a model that solves the vanishing gradi…

An Evaluation Of A Linguistically Motivated Conversational Software Agent Framework
K Panesar – Journal of Computer-Assisted Linguistic Research, 2019 – riunet.upv.es
… tasks manipulated via the language model will include tokenisation, sentence splitting, part-of-speech-tagging, morphological analysis, syntactic and … as the yearly Loebner prize) to demonstrate human-like conversation with four times winner ‘Mitsuku’ Chatbot (Worswick 2018) …

An Ontology-Driven Information System based on Vladimir Propp’s Morphology of the Folktale for Southern African Folktales
F Pannach – 2019 – dbis.informatik.uni-goettingen.de
… project. However, Azuonye’s work has been included into the ontology to show some of the advantages and limitations of our system. Azuonye published a morphological analysis of the Obaraedo tale in 1990. (Azuonye, 1990 …

Survey on Out-Of-Domain Detection for Dialog Systems
YS Jeong, YM Kim – Journal of Convergence for Information …, 2019 – koreascience.or.kr
… by just saying their needs to intelligent conversational agent, which is also typically called as chatbot or dialog … 3 Natural Language Processing (NLP) framework usually takes word tokenization, sentence splitter, morphological analysis, Part-Of-Speech (POS) tagging, shallow …

A review of the analytics techniques for an efficient management of online forums: An architecture proposal
J Peral, A Ferrandez, H Mora, D Gil… – IEEE Access, 2019 – ieeexplore.ieee.org
Page 1. 2169-3536 (c) 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org …

Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies
C Barros – 2019 – rua.ua.es
… Chapter 1: Introduction ent ways, processing it automatically and taking into account several levels of language analysis, such as: (i) phonetic and phonological analysis; (ii) lexical- morphological analysis; (iii) syntactic analysis; (iv) semantic analysis; or (v) prag- matic analysis …

Knowledge-based approach to Winograd Schema Challenge
IM Boguslavsky, F TI, I LL, L AV, R IP, T SP – current volume, 2019 – dialog-21.ru
… weakness of the Turing test be- came especially obvious after it was successfully passed in 2014 by the chatbot Eugene Goostman … SemETAP is an option of the ETAP-4 linguistic processor and reuses its non- semantic modules (morphological analysis, syntactic dependency …

Deep learning for nlp and speech recognition
U Kamath, J Liu, J Whitaker – 2019 – Springer
Page 1. Uday Kamath · John Liu · James Whitaker Deep Learning for NLP and Speech Recognition Page 2. Deep Learning for NLP and Speech Recognition Page 3. Uday Kamath • John Liu • James Whitaker Deep Learning for NLP and Speech Recognition 123 Page 4 …

Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Hendaye, France, September 4–6, 2019, Proceedings
NT Nguyen, R Chbeir, E Exposito, P Aniorté… – 2019 – books.google.com
Page 1. Ngoc Thanh Nguyen · Richard Chbeir· Ernesto Exposito· Philippe Aniorté· Bogdan Trawi?ski (Eds.) Computational Collective Intelligence 11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019 Proceedings, Part II 123 Page 2 …

A Review of the Analytics Techniques for an Efficient Management of Online Forums: An Architecture Proposal
J Peral Cortés, A Ferrández, H Mora, D Gil… – 2019 – rua.ua.es
Page 1. SPECIAL SECTION ON APPLICATIONS OF BIG DATA IN SOCIAL SCIENCES Received December 5, 2018, accepted January 9, 2019, date of publication January 15, 2019, date of current version February 6, 2019 …

Conversation Initiation by Diverse News Contents Introduction
S Akasaki, N Kaji – Proceedings of the 2019 Conference of the North …, 2019 – aclweb.org
… We then divided those pairs into 260,000 and 17,813 for training data and development data for the baselines. We performed tokenization using a Japanese morphological analyzer, MeCab,7 with IPAdic dictionary,8 and then removed usernames, URLs, and hashtags …

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …
K Inui, J Jiang, V Ng, X Wan – Proceedings of the 2019 Conference on …, 2019 – aclweb.org
Page 1. EMNLP-IJCNLP 2019 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing Proceedings of the Conference November 3–7, 2019 Hong Kong, China Page 2 …

Enriching a question-answering system with user experience concepts
LV Simons – 2019 – dspace.library.uu.nl
… consideration to produce a single answer as a response. This is different from question-answering through a chatbot, in which a dialog is produced. Dialogs are not in scope. ? The use of the word ‘handling’ is intentionally because …

Of Lions and Yakshis
F Pannach, C Sporleder, W May, A Krishnan… – semantic-web-journal.net
… A prominent example is the “Morphology of the Igbo Folktale” by Chukwuma Azuonye [8]. Azuonye published a morphological analysis of the Obaraedo tale in 1990 [8]. The same tale has been analysed by Ikechukwu Okodo in 2012 [9]. In the tale, the girl Obaraedo is left alone …

TOPIC MODELLING, SENTIMENT ANALSYS AND CLASSIFICATION OF SHORT-FORM TEXT
CJOFI PURCHASES, L STOYANOVA, W WALLACE – 2019 – local.cis.strath.ac.uk
Page 1. TOPIC MODELLING, SENTIMENT ANALSYS AND CLASSIFICATION OF SHORT-FORM TEXT CUSTOMER JOURNEY OF INSURANCE PURCHASES RESEARCHER LAZARINA STOYANOVA CHIEF INVESTIGATOR WILLIAM WALLACE …

Deep learning for anomaly detection: A survey
R Chalapathy, S Chawla – arXiv preprint arXiv:1901.03407, 2019 – arxiv.org
Page 1. DEEP LEARNING FOR ANOMALY DETECTION:ASURVEY APREPRINT Raghavendra Chalapathy University of Sydney, Capital Markets Co-operative Research Centre (CMCRC) rcha9612@uni.sydney.edu.au Sanjay …

Question Generation with Adaptive Copying Neural Networks
X Lu – 2019 – curve.carleton.ca
… For example, dialog systems in chatbots are currently drawing significant attention. Siri, Apple’s voice assistant, is a good application of chatbots that can talk with people as if they were human. Medical chatbots will soon function as assistants …

A COMMUNICATIVE ROBOT TO LEARN ABOUT US AND THE WORLD
S Baez – dialog-21.ru
… 1 As a next step, the model will include temporality within the perspective, using a lexicon of tem- poral expressions and a more advanced morphological analysis of predicate … 1. Abdul-Kader, SA, Woods, J.: Survey on chatbot design techniques in speech conversation systems …

A Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questions
LP Acharya – 2019 – repository.lib.fit.edu
… 1960s by the MIT Artificial Intelligence Laboratory to demonstrate the communication between humans and machines. Similar to a chatbot, ELIZA uses pattern matching and substitution methodologies to simulate conversations. DOCTOR is an example of a script …

Contextual language understanding Thoughts on Machine Learning in Natural Language Processing
B Favre – 2019 – hal-amu.archives-ouvertes.fr
… General purpose dialog agents, also known as “chatbots”, are a good example of … The ELIZA chatbot (Weizenbaum 1976) or contestants to the Loeb- ner Prize competition … such as in Sino-Tibetan languages; – Part-of-speech tagging, morphological analysis: determining the …

Automotive multimodal human-machine interface
D Schnelle-Walka, S Radomski – The Handbook of Multimodal …, 2019 – dl.acm.org
Page 1. 12Automotive Multimodal Human-Machine Interface Dirk Schnelle-Walka, Stefan Radomski 12.1 Introduction The majority of user interfaces in the automotive domain were not developed as the result of user-centered …

Utterance Intent Classification for Spoken Dialogue System with Data-Driven Untying of Recursive Autoencoders
T Kato, A Nagai, N Noda, J Wu… – … on Information and …, 2019 – search.ieice.org
Page 1. IEICE TRANS. INF. & SYST., VOL.E102–D, NO.6 JUNE 2019 1197 PAPER Utterance Intent Classification for Spoken Dialogue System with Data-Driven Untying of Recursive Autoencoders Tsuneo KATO †a) , Member …

Ontological Traceability using Natural Language Processing
E Rosa Benitez – 2019 – dspace.library.uu.nl
Page 1. Ontological Traceability using Natural Language Processing A master thesis presented by Edder de la Rosa Benitez Submitted to the Department of Organization and Information in partial fulfillment of the requirements for the degree of Master of Science in …

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