Apache OpenNLP & Dialog Systems 2018


Notes:

OpenNLP library is a machine learning based toolkit for the processing of natural language text. OpenNLP includes maximum entropy and perceptron based machine learning.

Resources:

  • corenlp .. a set of human language technology tools
  • deepnl .. a deep learning nlp pipeline
  • ixa-pipes .. ready to use NLP tools (coreference resolution tool available soon)
  • lappsgrid .. provides facilities to select from hundreds of NLP tools to create workflows
  • meaningcloud .. affordable way to extract the meaning of unstructured content
  • opener .. set of ready to use tools to perform some natural language processing tasks
  • opennlp .. machine learning based toolkit for the processing of natural language
  • pkde4j .. entity and relation extraction for public knowledge discovery
  • textserver .. platform of language analysis services that can be used to process texts

Wikipedia:

References:

See also:

OpenCCG (OpenNLP CCG Library)


Assuring Chatbot Relevance at Syntactic Level
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… Developing Enterprise Chatbots pp 121-162 | Cite as … We describe a toolkit which is a part of Apache Software Foundation project OpenNLP.chatbot, designed to aid search engineers and chatbot designers in tasks requiring text relevance assessment. Download chapter PDF …

Chatbot with a discourse structure-driven dialogue management
B Galitsky, D Ilvovsky – Proceedings of the Software Demonstrations of …, 2017 – aclweb.org
… Chatbot with a Discourse Structure-Driven Dialogue Management … We conclude that using a chat bot with extended discourse tree-driven navigation is an efficient and fruitful way of information access … Source code is a sub-project of Apache OpenNLP (https://opennlp.apache.org …

A Content Management System for Chatbots
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… Content pipeline support is implemented as an open source contribution OpenNLP.Similarity … to consume, emojis for meaningful, visual attention, and a high ratio of images and gifs in chatbot utterances. For manual content creation for chatbots, one would need a wsyiwig editor …

Building Chatbot Thesaurus
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… to build a thesaurus of entities which is intended to improve the relevance of a chatbot … that a proposed algorithm for automated thesaurus learning is suitable for integration into chatbots. The proposed algorithm is implemented as a component of Apache OpenNLP project …

Evaluation of modern tools for an omscs advisor chatbot
E Gregori – 2017 – smartech.gatech.edu
… The importance that tech giants like Google, Facebook, Microsoft, IBM and Amazon are giving to chatbots is a strong indicator that … The last few years have seen an explosion of chatbot tools and platforms … OpenNLP https://opennlp.apache.org/ Java library tokenize, tag, entities …

Developing Enterprise Chatbots
B Galitsky – 2019 – Springer
… 47 3 Explainable Machine Learning for Chatbots ….. 53 3.1 What Kind of Machine Learning a Chatbot Needs … 119 5 Assuring Chatbot Relevance at Syntactic Level … 149 5.6 Implementation of OpenNLP.Similarity Component …

Applying Coreference Resolution for Usage in Dialog Systems
G Rolih – 2018 – diva-portal.org
… computer dialog and try to integrate a system into Teneo, a platform for dialog system creation. Additionally, an evaluation and error analysis of the system will provide an insight into what is needed for an efficient coreference resolution system to be used in dialog systems …

State-of-the-Art Approaches for German Language Chat-Bot Development
N Boisgard – 2018 – ec.tuwien.ac.at
… Figure 1.2: The number of publications containing the terms “chatbot”, “chatterbot”, “chat-bot” or “chat bot … 2.1: A list of the terms proposed as synonymous to the term “chat-bot” in the … as in lieu with the classification used in [Jurafsky and Martin, 2017a], chat-bots being merely chit …

The Design and Implementation of a Chatbot’s Character for Elderly Care
WD Liu, KY Chuang, KY Chen – 2018 International Conference …, 2018 – ieeexplore.ieee.org
… Apache OpenNLP … F. Related Work The Chatbot is a computer program or an artificial intelligence, which carries a conversation by auditory or … Chatbots are commonly used in dialog systems for various practical purposes including information acquisition or customer service …

Smart Entertainment-A Critiquing Based Dialog System for Eliciting User Preferences and Making Recommendations
SG Patil – Natural Language Processing and Information Systems …, 2018 – books.google.com
… Keywords: NLP· Dialog Systems· CRF· Recommendation 1 Introduction and Motivation Our approach consists of two key components ie (a) a prototype … Smart Entertainment-A Critiquing Based Dialog System 459 Fig … First, the OpenNLP POS tagger is run on each statement …

Smart Entertainment-A Critiquing Based Dialog System for Eliciting User Preferences and Making Recommendations
RR Ramnani, S Sengupta, TR Ravilla… – … on Applications of Natural …, 2018 – Springer
… Keywords. NLP Dialog Systems CRF Recommendation. Download conference paper PDF … First, the OpenNLP POS tagger is run on each statement … A similar approach of deploying a research dialog system to tweak the natural language layer has also been done in [13] …

Discourse-Level Dialogue Management
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… 11.3.8 Evaluation: Information Access Efficiency in Chatbots Versus Search Engines … Twelve users (author’s colleagues) asked the chatbot 15–20 questions reflecting their financial situations … The structure of comparison of search efficiency for the chat bot vs the search engine is …

A Domain-independent Framework for building Conversational Recommender Systems.
F Narducci, P Basile, A Iovine, M de Gemmis, P Lops… – KaRS@ RecSys, 2018 – ceur-ws.org
… Chatbots are becoming more and more popular for several applications like customer care, health care … A Goal-Oriented Dialog Sys- tem, also known as Chatbot, is designed for helping users to … operation in order to identify nominal chunks by using the Apache OpenNLP library …

The Implementation of Conversation Bot for Smart Home Environment
CY Lu – Frontier Computing (FC)., 2019 – books.google.com
… Based on the processing result by openNLP, we parse the processing results with the command ontology that is the home command ontology to generate the home commands … Until now, we use LINE as the chat bot platform to implement our proposed system …

Challenges and opportunities of applying natural language processing in business process management
H Van der Aa, J Carmona Vargas… – COLING 2018: The …, 2018 – upcommons.upc.edu
… 1https://opennlp.apache.org … An example of this is chatbot-aided troubleshooting (Acomb et al., 2007), where artificial agents are used to … So far, knowl- edge representation in such chatbots comprises several components like natural language understanding and/or generation …

The Implementation of Conversation Bot for Smart Home Environment
CF Chih, SJ Hsu, PT Chen, YJ Chen, CY Lu – International Conference on …, 2018 – Springer
… Based on the processing result by openNLP, we parse the processing results with the command ontology that is the home command ontology to generate the home commands … Until now, we use LINE as the chat bot platform to implement our proposed system …

Towards a cognitive assistant system for emergency response
SM Preum, S Shu, J Ting, V Lin… – 2018 ACM/IEEE 9th …, 2018 – ieeexplore.ieee.org
… works compare different off-the-shelf speech-to-text conversion tools for dialogue systems [4], we … precision and recall for all four different types of entities than both OpenNLP and Illinois … Leuski, and D. Traum, “Which asr should i choose for my dialogue system?” in Proceedings …

Interpretable Semantic Textual Similarity Using Lexical and Cosine Similarity
G Majumder, P Pakray, DEP Avendaño – … of the Computer Society of India, 2018 – Springer
… OpenNLP Chunker … 252–263 (2015)Google Scholar. Aleven, V., Popescu, O., Koedinger, KR.: Pedagogical content knowledge in a tutorial dialogue system to support self-explanation. In: Papers of the AIED-2001 Workshop on Tutorial Dialogue Systems, pp …

Remembering a conversation–a conversational memory architecture for embodied conversational agents
M Elvir, AJ Gonzalez, C Walls, B Wilder – Journal of Intelligent …, 2017 – degruyter.com
… Chatbots are intelligent computer systems that can engage in conversation with humans. If a chatbot is embodied as an animated entity in the form of a virtual character, it is then called an Embodied Conversational Agent (ECA) …

Improving NLTK for processing Portuguese
J Ferreira, H Gonçalo Oliveira… – 8th Symposium on …, 2019 – drops.dagstuhl.de
… work was funded by FCT’s INCoDe 2030 initiative, in the scope of the demonstration project AIA, “Apoio Inteligente a Empreendedores (Chatbots)” … reference for the process was the NLPPort toolkit [14], also focused on improving the processing of Portuguese in OpenNLP [9], a …

Emoji recommendation in private instant messages
G Guibon, M Ochs, P Bellot – Proceedings of the 33rd Annual ACM …, 2018 – dl.acm.org
… REFERENCES [1] Jason Baldridge. 2005. The opennlp project. (2005) … [24] Ruobing Xie, Zhiyuan Liu, Rui Yan, and Maosong Sun. 2016. Neural Emoji Recommendation in Dialogue Systems. arXiv preprint arXiv:1612.04609 (2016). [25] Min-Ling Zhang and Zhi-Hua Zhou …

Learning Discourse-Level Structures for Question Answering
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… Developing Enterprise Chatbots pp 177-219 | Cite as. Learning Discourse-Level Structures for Question Answering … Passage re-ranking improvement via parse thickets is evaluated in a variety of chatbot question-answering domains with long questions …

Fact or Fiction
A Lu, CJ Lovering, N Dinh, C Tri, T Nguyen, H Bui – 2018 – digitalcommons.wpi.edu
… provided semantic class tags, Named Entities, patterns that correspond to subjective language; OpenNLP for tokenizing … to get sentiment scores on entities, provide a framework to build chatbots upon, and … that converses with users, such as a dialog system or a chatbot, can pass …

A comprehensive information extraction module for reducing call handling time in a contact centre
KIH Gunathunga, Y Priyadarshana, KKANN Perera… – 2019 – researchgate.net
… Abstract- Information extraction plays an important role in text related research and application areas such as text mining and dialogue systems … In the first step, the text file is tokenized. Authors have used Apache OpenNLP API for the tokenizing process …

Technology Model to Support the Initiation of Innovation Artefacts
MI Dascalu, E Lazarou, VF Constantin – Conference on Creativity in …, 2019 – Springer
… current trend to which the model can contribute is that of chatbots (conversational agents … The last functionality is continuous assistance via a trained chatbot and via a virtual … built from extracted data, using several technologies: GATE, WordNet, Text2Onto, OpenNLP, Jena API …

Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between …
LF Donnelly, R Grzeszczuk, CV Guimaraes… – Current problems in …, 2018 – Elsevier
… triage of emergency cases based on a clinical report content, to customer support conversational agents (or chatbots) that can … Open source toolkits were used throughout the process, including Apache OpenNLP, Apache Lucene, Stanford NLP, Keras, and Google’s TensorFlow …

Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform
I Steiner, SL Maguer – arXiv preprint arXiv:1712.04787, 2017 – arxiv.org
… as a component into more complex applications, such as TTS web services, accessibility software, or spoken dialog systems (SDSs) … in MaryTTS include third-party libraries for text tokenization (JTok), number expansion (ICU4J), and part-of-speech (POS) tagging (OpenNLP) …

Transforming Legacy Banking Applications to Banking Experience Platforms
SK Shivakumar, S Sethii – Building Digital Experience Platforms, 2019 – Springer
… Forums, wiki, messenger, chatbot, knowledge base, calendar, survey, polls, e-mail, review, and rating … Self-learning, continuous improvement, text analytics, predictive analytics, chatbots, virtual assistants, intelligent recommendation engines, robo advisors … NLP: OpenNLP …

Inflection-tolerant ontology-based named entity recognition for real-time applications
C Jilek, M Schröder, R Novik, S Schwarz… – arXiv preprint arXiv …, 2018 – arxiv.org
… The number of application areas, in which users are supported by systems that operate in (near) real-time, grows: chatbots, digital companions … We tested OpenNLP17 and CoreNLP using a basic pipeline consisting only of a tokenizer, sentence splitter and part- of-speech tagger …

Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances
D Griol, JM Molina, Z Callejas – Neurocomputing, 2017 – Elsevier
… Although emotion is receiving increasing attention from the dialog systems community, most research described in the literature is devoted … The Apache OpenNLP 2 tools have been selected to carry out natural language processing tasks including tokenization, stemming, part-of …

Measuring interpretable semantic similarity of sentences using a multi chunk aligner
G Majumder, P Pakray, D Pinto – Journal of Intelligent & Fuzzy …, 2019 – content.iospress.com
… c) Tokenization and Case Correction: tokenization is performed using OpenNlp tokenizer 5 and … and Koedinger KR , Pedagogical content knowledge in a tutorial dialogue system to support … explanation, Working Notes of the AIED 2001 Workhop Tutorial Dialogue Systems (2001 …

From medical records to research papers: A literature analysis pipeline for supporting medical genomic diagnosis processes
FL Bello, H Naya, V Raggio, A Rosá – Informatics in Medicine Unlocked, 2019 – Elsevier
… Our document retrieval process is implemented in KNIME (Fig. 4, Document Grabber Process), and produces Comma Separated Value (CSV) files containing the abstracts, tokenized with OpenNLP Word Tokenizer [39]. This …

Road Navigation System Using Automatic Speech Recognition (ASR) And Natural Language Processing (NLP)
P Withanage, T Liyanage… – 2018 IEEE Region …, 2018 – ieeexplore.ieee.org
… Information Extraction I. INTRODUCTION Navigation Dialog Systems have become very popular among Human Machine Interfaces in recent years. This voice … named entities. Apache OpenNLP: This is Apache-licensed suite of tools. It is …

Using IBM watson cloud services to build natural language processing solutions to leverage chat tools
S Packowski, A Lakhana – Proceedings of the 27th Annual International …, 2017 – dl.acm.org
… (eg Stanford CoreNLP[6], Natural Language Toolkit (NLTK)[5], Apache OpenNLP[2], and … enhanced bots help Support team members by tagging or routing chat conversations, or responding to eas- ier chat questions with suggested links Fully interactive chat bots trained using …

Rhetorical Agreement: Maintaining Cohesive Conversations
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… In recent years, development of chatbots answering questions, facilitation discussion, managing dialogues … of how a question answering, dialog management, recommendation or chatbot system can … the last two decade, research in the field of dialogue systems has experienced …

AI in informal science education: Bringing Turing back to life to perform the Turing test
AJ Gonzalez, JR Hollister, RF DeMara, J Leigh… – International Journal of …, 2017 – Springer
… in the older systems, with no regard for pursuit of a goal by the chatbot … Further research into chatbots saw a shift towards enhanced immersive reality for dialog systems, emphasizing … WordNet-enabled C# library named SharpNLP, which is based on the OpenNLP open source …

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications
CR Rao, VN Gudivada – 2018 – books.google.com
… and Frameworks for NLP 6.1 Natural Language Toolkit 6.2 Stanford CoreNLP Toolset 6.3 Apache OpenNLP 6.4 General … entail- ment, language generation, semantic analysis, grammar correction, question- answering systems, spoken dialog systems, chatbots, passage retrieval …

Computational Intelligence Framework for Automatic Quiz Question Generation
A Killawala, I Khokhlov, L Reznik – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… and which type (“Who”, “What”, “Why”, etc.) two techniques are employed: Named-entity recognition (NER) parser (which is a part of the OpenNLP tool) and … AQG questions have been employed in two major domains: automatic dialogue systems and for educational assessment …

Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP
RM Reese, AS Bhatia – 2018 – books.google.com
… Artificial Linguistic Internet Computer Entity Understanding AIML Developing a chatbot using ALICE … and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, Mallet … You’ll learn about statistical machine translation, summarization, dialog systems, complex searches …

Design and implementation of a toolkit for the aspect-based sentiment analysis of tweets
M Hagge, M von Hoffen, JH Betzing… – 2017 IEEE 19th …, 2017 – ieeexplore.ieee.org
… NLP techniques are used in our daily business, for example, to extract meeting information from e-mails, to enable chat bots in social networks, or to automatically analyze large text corpora, which could not be … This function was facilitated using the Apache OpenNLP library [36] …

The First Financial Narrative Processing Workshop (FNP 2018)
M El-Haj, P Rayson, A Moore – 2018 – lrec-conf.org
… Keeping the dialogue state in dialogue systems is a notoriously difficult task … framework is used in our in-house German language banking and finance chatbots. General challenges of German language processing and finance-banking domain chatbot language models and …

Aligning textual and graphical descriptions of processes through ILP techniques
J Sànchez-Ferreres, J Carmona, L Padró – International Conference on …, 2017 – Springer
… language. NLP goals range from simple basic processing such as determining in which language a text is written, to high-level complex applications such as Machine Translation, Dialogue Systems, or Intelligent Assistants …

CognitiveEMS: a cognitive assistant system for emergency medical services
S Preum, S Shu, M Hotaki, R Williams, J Stankovic… – ACM SIGBED …, 2019 – dl.acm.org
… Datasets from 6 domains of dialogue systems differing in genre, type of users, and number of users are tested. They find that speech recognizers perform differently in different domains … The tools are Stanford coreNLP, Apache openNLP, and Illinois tagger …

Detecting logical argumentation in text via communicative discourse tree
B Galitsky, D Ilvovsky, SO Kuznetsov – Journal of Experimental & …, 2018 – Taylor & Francis
Page 1. https://doi.org/10.1080/0952813x.2018.1467492 Detecting logical argumentation in text via communicative discourse tree Boris Galitskya, Dmitry Ilvovskyb and Sergey O. Kuznetsovb aoracle corp., redwood Shores, ca …

Reverse-Engineering Satire, or” Paper on Computational Humor Accepted Despite Making Serious Advances”
R West, E Horvitz – arXiv preprint arXiv:1901.03253, 2019 – arxiv.org
… As computers increasingly take on conversational tasks (eg, in chat bots and personal assistants), the ability to interact with users naturally is … We use OpenNLP’s maximum entropy chunker (Berger, Pietra, and Pietra 1996), after retraining it to better handle pithy, headline-style …

Deep Learning For Nlp And Speech Recognition
ULIU KAMATH, 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 …

Towards the implementation of an intelligent software agent for the elderly
F Dinevari, A Hossein – 2017 – era.library.ualberta.ca
… foundation of Artificial Intelligence. Chatterbots are also known as chatbots and artificial conversational entities … terbots. Ontologies are sometimes referred to as Semantic Networks by some chatbot systems. • AIML is a method of defining patterns in chatterbots. It is written in …

Narrative Information Extraction with Non-Linear Natural Language Processing Pipelines
JV Vargas – 2017 – search.proquest.com
Page 1. Narrative Information Extraction with Non-Linear Natural Language Processing Pipelines A Thesis Submitted to the Faculty of Drexel University by Josep Valls Vargas in partial fulfillment of the requirements for the degree of Doctor of Philosophy December 2017 Page 2 …

Understanding Questions and Extracting Answers: Interactive Quiz Game Application Design
D Klakow – … Technology. Challenges for Computer Science and …, 2018 – books.google.com
… Understanding Questions and Extracting Answers 247 We aim at building an end-to-end Question Answering Dialogue System (QADS) that provides an interactive guessing game where players have to ask questions about attributes of an unknown person in … 16 http://opennlp …

Unifying Agile Requirements Specification Quality Control and Implementation Conformance Assurance
TD Pinto – 2018 – maxwell.vrac.puc-rio.br
Page 1. 1 Thiago Delgado Pinto Unifying Agile Requirements Specification Quality Control and Implementation Conformance Assurance TESE DE DOUTORADO Thesis presented to the Programa de Pós-gradu- ação em Informática …

Python Natural Language Processing
J Thanaki – 2017 – books.google.com
… Page 18. Exercise 265 Grammar correction 265 Template-based chatbot application 269 Flow of code 270 Advantages of template-based chatbot 273 Disadvantages of template-based chatbot 273 Exercise 273 Comparing the rule-based approach with other approaches 273 …

Linguistic and Gestural Adaptation
Z Hu – 2018 – escholarship.org
… “Entrainment in Pedestrian Direction Giving: How many kinds of entrainment?” Workshop on Spoken Dialog Systems (IWSDS 2014), Napa, CA, USA, Jan. 2014 … Automatic chatbots in cus … dialog system’s, in terms of distribution of words [141]. Individuals also adapt to each …

Interpretable semantic textual similarity: Finding and explaining differences between sentences
I Lopez-Gazpio, M Maritxalar, A Gonzalez-Agirre… – Knowledge-Based …, 2017 – Elsevier
Skip to main content …

Natural language processing for social media
A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2017 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python
A Kulkarni, A Shivananda – 2019 – Springer
… Advanced feature engineering techniques (word2vec and fastText) to capture context. • Information/Document Retrieval Systems, for example, search engine. • Chatbot, Q & A, and Voice-to-Text applications like Siri and Alexa. INTRODUCTION Page 23. xxv …

Approaches to natural language processing in app development
C Djoweini, H Hellberg – 2018 – diva-portal.org
Page 1. IN DEGREE PROJECT COMPUTER ENGINEERING, FIRST CYCLE, 15 CREDITS , STOCKHOLM SWEDEN 2018 Approaches to natural language processing in app- development CAMRAN DJOWEINI HENRIETTA HELLBERG …

Knowledge Extraction in Web Media: At The Frontier of NLP, Machine Learning and Semantics
PA CHAMPIN – 2018 – jplu.github.io
… Later in 1966, we see appearing the first chatbot, ELIZA [188], being also the first natural language processing application developed … knowledge base a crucial resource for several high level Natural Language Processing tasks such as question answering, chatbots or personal …

Design and development of a cognitive assistant for the architecting of earth observing satellites
A Virós Martin – 2017 – upcommons.upc.edu
Page 1. DDC AAE OS by Antoni Virós Martin September 2017 Submitted to the faculty of the Barcelona School of Informatics (FIB) of Universitat Politècnica de Catalunya (UPC) – BarcelonaTech in Partial Fulfillment of the Requirements for the …

Learning Semantic Patterns for Question Generation and Question Answering
HP Rodrigues – 2017 – l2f.inesc-id.pt
… This approach of learning by analogy, or example-based systems [Aamodt and Plaza, 1994], has also been applied in other domains, such as in creation of dialog systems [Nio et al., 2014] or translation of unknown words [Langlais and Patry, 2007] …

Improving scalability of inductive logic programming via pruning and best-effort optimisation
M Kazmi, P Schüller, Y Sayg?n – Expert Systems with Applications, 2017 – Elsevier
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Automated Approaches to Community Question Answering
A Uva – 2019 – eprints-phd.biblio.unitn.it
… The latter can be used to quickly bootstrap Natural Language Understanding pipelines for dialog systems. To conclude, we study advantages and disadvantages of neural networks and tree kernel models when applied to cQA tasks …

CCG Realization with LSTM Hypertagging
RJ Fu – 2018 – etd.ohiolink.edu
… dependency graphs. It’s used to improve surface realization in OpenCCG, an open-source library within OpenNLP that’s dedicated to natural language parsing and generation using CCG. Recent work used neural networks to improve supertagging for parsing. Lewis …

From Event to Story Understanding
N Mostafazadeh – 2017 – urresearch.rochester.edu
Page 1. From Event to Story Understanding by Nasrin Mostafazadeh Submitted in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Supervised by Professor James F. Allen Department of Computer Science Arts, Sciences and Engineering …

Community Standards for Linguistically-Annotated Resources
N Ide, N Calzolari, J Eckle-Kohler, D Gibbon… – Handbook of Linguistic …, 2017 – Springer
This chapter provides a broad overview of the state-of-the-art in standards development for language resources, beginning with a brief historical overview to serve as context. It describes in some…

Extracción de información en informes radiológicos escritos en español
VE Cotik – 2018 – digital.bl.fcen.uba.ar
Page 1. Dirección: Dirección: Biblioteca Central Dr. Luis F. Leloir, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires. Intendente Güiraldes 2160 – C1428EGA – Tel. (++54 +11) 4789-9293 Contacto: Contacto: digital@bl.fcen.uba.ar Tesis Doctoral …

Health analytics
A Makhlysheva, A Budrionis… – … Center for E-health …, 2018 – ehealthresearch.no
Page 1. Makhlysheva A., Budrionis A., Chomutare T., Nordsletta AT, Bakkevoll PA, Henriksen T., Hurley JS, Bellika JG, Blixgård H., Godtliebsen F., Skrøvseth SO, Solvoll T., Linstad L. Health Analytics REPORT 04/2018 Page 2. Health Analytics Report number 04-2018 …

Learning logic rules from text using statistical methods for natural language processing
M Kazmi – 2017 – peterschueller.com
Page 1. LEARNING LOGIC RULES FROM TEXT USING STATISTICAL METHODS FOR NATURAL LANGUAGE PROCESSING by MISHAL KAZMI Submitted to the Graduate School of Engineering and Natural Sciences in Partial Fulfillment of the Requirements for the Degree of …

Big data processing with apache spark
S Penchikala – 2018 – books.google.com
Page 1. BIG-DATAPROCESSING WITH APACHE SPARK Srini Penchikala InfoC) ENTERPRISE SOFTWARE DEVELOPMENT SERIES Page 2. Big-Data Processing with ApacheSpark Srini Penchikala Page 3. Big-Data Processing with Apache Spark © 2018 Srini Penchikala …

From Natural
I Pogrebezky – 2017 – idc.ac.il
Page 1. The Interdisciplinary Center, Herzliya Efi Arazi School of Computer Science M.Sc. program – Research Track From Natural Language descriptions to executable scenarios by Ilia Pogrebezky M.Sc. dissertation, submitted in partial fulfillment of the requirements …

Representation Learning for Information Extraction
E Amjadian – 2019 – curve.carleton.ca
Page 1. Representation Learning for Information Extraction by Ehsan Amjadian A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Cognitive Science Carleton University …