Stanford CoreNLP & Chatbots 2019


Notes:

Stanford CoreNLP toolkit is an extensible pipeline that provides core natural language analysis.

The framework integrates many Stanford NLP tools, including:

  • the part-of-speech (POS) tagger,
  • the named entity recognizer (NER),
  • the parser,
  • the coreference resolution system,
  • the sentiment analysis,
  • and the bootstrapped pattern learning tools.

Resources:

  • askplatyp.us .. query engine resulting from master’s degree project of seven students
  • huric .. human robot interaction corpus
  • projetpp.github.io .. modular and open source question answering framework
  • reassistant.googlecode.com .. support tool for analyzing software requirements specifications

See also:

100 Best Stanford NLP VideosStanford ClassifierStanford NLP & Dialog SystemsStanford Parser & Dialog SystemsStanford Tregex


#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
T Bauer, E Devrim, M Glazunov, WL Jaramillo… – … Conference on Machine …, 2019 – Springer
… able to extract, the annotation type BIO or BILUO) and identified the one that best fits our needs based on this research study [19], namely, Stanford CoreNLP … 3.4 Chatbot. Chatbots (or more formally conversational agents) have been blooming lately both in research and industry …

A Chatbot for Goal-Oriented Requirements Modeling
D Arruda, M Marinho, E Souza, F Wanderley – International Conference on …, 2019 – Springer
… high-quality information from text, and there are some available tools in the literature to facilitate its processing (eg, Stanford CoreNLP [16]) … 2.3 Chatbot … Chatbots are systems that interact with humans to answer questions on a specific domain [26] and they are used in several …

Chatbots Assisting German Business Management Applications
F Steinbauer, R Kern, M Kröll – International Conference on Industrial …, 2019 – Springer
… Kowalke, P.: How chatbots will change Customer Relationship Management (2017)Google Scholar. 11 … Manning, CD, Surdeanu, M., Bauer, J., Finkel, J., Bethard, SJ, McClosky, D.: The Stanford CoreNLP natural language … Thomas, NT: An e-business chatbot using AIML and LSA …

Intent Detection and Slots Prompt in a Closed-Domain Chatbot
A Nigam, P Sahare, K Pandya – 2019 IEEE 13th International …, 2019 – ieeexplore.ieee.org
… This would help the greater community who are, say, non-native English speakers to use NLU-based applications like chatbots … 1 for the chatbot flow) … We use Stanford CoreNLP [4] to train the taggers using different vocabularies …

A Compression-based BiLSTM for Treating Teenagers’ Depression Chatbot
J YIN – DEStech Transactions on Computer Science and …, 2019 – dpi-proceedings.com
… The Stanford CoreNLP toolkit [18] is a flexible pipeline that lays out core natural language analysis … [2] Abdul-Kader SA, Woods J C. Survey on chatbot design techniques in speech conversation systems[J … [3] Skjuve M, Brandtzæg P B. Chatbots as a new user interface for …

Building an enterprise chatbot: Work with protected enterprise data using open source frameworks
A Singh, K Ramasubramanian, S Shivam – 2019 – books.google.com
… for Private Chatbots…..63 … Generation…..71 Chatbot Architecture … spaCy…..77 CoreNLP…..79 gensim …

Is the Simplest Chatbot Effective in English Writing Learning Assistance?
R Nagata, T Hashiguchi, D Sadoun – International Conference of the …, 2019 – Springer
… We merged the same or similar sentences into one if they were responses to the same question from the chatbot; note that we implemented the chatbot in such a way that it may ask the exact same question … We used the Stanford-CoreNLP tool 2 to tokenize the obtained data …

DIUbot-A Chatbot for DIU Admission Section
M Reza, RB Kalim, M Muid, A Al – 2019 – dspace.daffodilvarsity.edu.bd
… accelerating the invention with the more user-friendly applications and specific purpose chatbots [6] … within a chatbot. KAOSbot services through a graphical interface which identifying the … 6 Stanford CoreNLP library and the parsed tree for the identification of syntactic patterns …

Building an Enterprise Chatbot
A Singh, K Ramasubramanian, S Shivam – Springer
… CoreNLP …..106 … xxii • Learn how to deploy a complete in-house-built chatbot using an open source technology stack like RASA and Botpress (such chatbots avoid sharing any PIIs with any third-party tools) …

Ensemble-based deep reinforcement learning for chatbots
H Cuayáhuitl, D Lee, S Ryu, Y Cho, S Choi, S Indurthi… – Neurocomputing, 2019 – Elsevier
… 3. We propose a novel ensemble-based methodology for chatbot training, where each chatbot in our ensemble is trained with a set of clustered dialogues. To test our agents, we train 100 DRL chatbots with the aim of generating more context-relevant responses …

Potential of Bots for Encyclopedia
M Saracevic, M Ebner, M Ebner – intelligence (AI) – ipsitransactions.org
… The return of the chatbots. Natural Language Engineering, 22(5), 811-817. doi:10.1017/ S1351324916000243 … (2017). Chatbot for university related FAQs. 1525-1530. 10.1109/ICACCI. 2017.8126057 … (2014). The Stanford CoreNLP Natural Language Processing Toolkit …

Developing Enterprise Chatbots
B Galitsky – 2019 – Springer
… dialogue systems. In particular, this book educates chatbot developers on building search engines for chatbots with linguistically-enabled relevance, automatically formed thesauri, and solid content management. With the focus …

Chatbot Components and Architectures
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… They include methodologies from the finite-state machines, used in early chatbots, to machine learning techniques adopted in … When a sentence from a user appears, the chatbot obtains the most recent utterances of that user from the … The Stanford CoreNLP toolkit (Manning et al …

The potential of chatbots: analysis of chatbot conversations
M Akhtar, J Neidhardt… – 2019 IEEE 21st …, 2019 – ieeexplore.ieee.org
… [Online]. Available: https://www.heise.de/downloads/18/2/5/4/1/3/4/2/Studie chatbots.pdf [2] Nathaniel Boisgard. State-of-the-art approaches for german language chatbot development. Diploma Thesis, TU Wien, 2018 … The stanford corenlp natural language processing toolkit …

Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots
M Hardalov, I Koychev, P Nakov – Information, 2019 – mdpi.com
… on word overlap and measure the similarity between the chatbot’s response and the gold answer to the user question (here, the answer by the customer support). However, it has been argued [43,44] that such word-overlap measures are not very suitable for evaluating chatbots …

Deep reinforcement learning for chatbots using clustered actions and human-likeness rewards
H Cuayáhuitl, D Lee, S Ryu, S Choi… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… This is not surprising given the fact that task-oriented dialogue systems use finite action sets, while chatbot systems use infinite action sets. So far there is a preference for policy search methods for chatbots, but it is not clear whether they should be preferred because they face …

Chatbot de Suporte para Plataforma de Marketing Multicanal
LASM Ferreira – 2019 – recipp.ipp.pt
… Para este efeito, foram desenvolvidos protótipos de várias frameworks para gestão de chatbots e de … This chatbot should be scalable to be multiplatform (able to communicate with the user … The chat-bot’s internal structure must guarantee the processing and analysis of the user’s …

A Knowledge Graph Based Approach for Automatic Speech and Essay Summarization
K Khadilkar, S Kulkarni… – 2019 IEEE 5th …, 2019 – ieeexplore.ieee.org
… These relations are extracted using the Stanford CoreNLP API [7]. TABLE II. RELATIONS EXTRACTED – EXAMPLE 1 Relations Extracted … Using Knowledge Graphs, it will be possible to develop user specific chatbots based on the user’s language preferences …

Hybrid Question Answering System based on Natural Language Processing and SPARQL Query
M Rajosoa, R Hantach, SB Abbes, P Calvez – pdfs.semanticscholar.org
… An approach to enhance chatbot semantic power and maintainability: Experiences within the frasi project … [Cor19] Stanford CoreNLP Natural Language software, https://stanfordnlp. github.io/CoreNLP/index.html, 2019. [Fer16] Sbastien Ferr …

Question Answering on Structured Data using NLIDB Approach
V Wudaru, N Koditala, A Reddy… – 2019 5th International …, 2019 – ieeexplore.ieee.org
… This approach is demonstrated using Movie domain chatbot and can also be extended to different domains … The input Natural Language query is tokenized using Stanford CoreNLP [8]. • The tokenized output is then POS tagged to get parts of speech of each tokenized word …

A Flexible and Scalable Architecture for Human-Robot Interaction
DR Recupero, D Dessì, E Concas – European Conference on Ambient …, 2019 – Springer
… Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The stanford corenlp natural language processing toolkit … Piccolo, L., Mensio, M., Alani, H.: Chasing the chatbots: Directions for interaction and design research (2019)CrossRefGoogle Scholar …

Improving neural question generation using answer separation
Y Kim, H Lee, J Shin, K Jung – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… al. 2017; Tang et al. 2017; 2018) or to engage chatbots to start and continue a conversation (Mostafazadeh et al. 2016) … respectively. We tokenize both data splits with Stanford CoreNLP (Manning et al. 2014) and then lower-case them …

Learning to explain: Answering why-questions via rephrasing
A Nie, ED Bennett, ND Goodman – arXiv preprint arXiv:1906.01243, 2019 – arxiv.org
… that can rephrase Why- questions into a statement so our model can also function as a single-round chitchat chatbot that can … It then uses prede- fined, pattern-based rules on the dependency parse obtained from the Stanford CoreNLP dependency parser (Manning et al …

Chat with Bots Intelligently: A Critical Review & Analysis
R Dsouza, S Sahu, R Patil… – … on Advances in …, 2019 – ieeexplore.ieee.org
… 3 Collaborative Modeling and Group Decision Making Using Chatbots in Social Networks … 5 Intent Detection and Slots Prompt in a Closed-Domain Chatbot 2019 Stanford CoreNLP Input: Preprocessed query with Entities as tags from crowdsourced data Output: Intent label …

Hermes: A Natural Language Interface Model for Software Transformation
MW Chagas, K Farias, L Gonçales… – Proceedings of the XV …, 2019 – dl.acm.org
… Primeiramente carrega os modelos do Stanford CoreNLP que tratam a sintática das frases e em seguida … usuário na página HTML, enviam estas frases para o parser de Stanford ea partir … como idade, sexo, profissão, nível de escolaridade e se já utilizou sistemas de ChatBot …

Extracting Dialog Structure and Latent Beliefs from Dialog Corpus.
A Chhabra, P Saini, C Anantaram – LaCATODA/BtG@ IJCAI, 2019 – ceur-ws.org
… It is observed that most of the time chatbots behave mechanically and do not take cus- tomer beliefs into … not focused on extracting the latent beliefs in the conversations that is required to tailor the chatbot inter- action … The Stanford CoreNLP natural lan- guage processing toolkit …

Detecting summary-worthy sentences: the effect of discourse features
M Droog-Hayes, GA Wiggins… – 2019 IEEE 13th …, 2019 – ieeexplore.ieee.org
… 20] CD Manning, M. Surdeanu, J. Bauer, JR Finkel, S. Bethard, and D. McClosky, “The Stanford CoreNLP Natural Language Processing Toolkit.” in ACL (System Demonstrations), 2014, pp. 55–60. [21] T. Wolf, “State-of-the-art neural coreference resolution for chatbots,” Jul 2017 …

An Intelligent Question and Answering System for Dental Healthcare
Y Jiang, Y Xu, J Guo, Y Liu, R Li – International Conference on Broadband …, 2019 – Springer
… the Chatbots API will provide the answer. The Q&A system consists of two modules, semantic analysis and retrieval. 4.1 Semantic Analysis. The semantic analysis module mainly performs two tasks, part-of-speech and dependency parsing. This paper uses the Stanford Corenlp …

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)” … Another well-known Java- based toolkit is the Stanford CoreNLP [7], which does not support Portuguese out-of-the-box, but has …

Resolving Gendered Ambiguous Pronouns with BERT
M Ionita, Y Kashnitsky, K Krige, V Larin… – arXiv preprint arXiv …, 2019 – arxiv.org
… This is an important task for natural language understanding and a nec- essary component of machine translation sys- tems, chat bots and assistants … Neuralcoref,14 Stanford CoreNLP (Manning et al., 2014) and e2e-coref (Lee et al., 2017) model predictions …

CHARS: a Cultural Heritage Adaptive Recommender System
F Colace, M De Santo, M Lombardi… – Proceedings of the 1st …, 2019 – dl.acm.org
… Touristic chatbots are becoming real travel agents able to provide information and offer real-time … J. Bauer, J. Finkel, S. Bethard, and D. McClosky, “The Stanford CoreNLP Natural Language … J. Kubelka, R. Robbes, and A. Bergel, “Building an expert recommender chatbot,” Proc …

AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue
G Kumar, R Joshi, J Singh, P Yenigalla – arXiv preprint arXiv:1912.10160, 2019 – arxiv.org
… Conver- sational agents can be broadly classified into two categories: a task oriented chat bot and a chit-chat based system respectively … Since we are obtaining the dependency graph from Stanford CoreNLP (Manning et al., 2014), some edges can be erroneous …

ScratchThat: Supporting Command-Agnostic Speech Repair in Voice-Driven Assistants
J Wu, K Ahuja, R Li, V Chen, J Bigham – Proceedings of the ACM on …, 2019 – dl.acm.org
… groups words by their POS tags using regular expressions. The POS tags are computed using the Stanford CoreNLP POS tagger [39], which outputs the Penn Treebank tag set. The CoreNLP POS tagger is trained mostly on …

Evaluating the MuMe dialogue system with the IDIAL protocol
A Porporato, A Mazzei, DP Radicioni… – the Sixth Italian Conference …, 2019 – iris.unito.it
… 2018. Touch your heart: A tone-aware chatbot for customer care on social me- dia. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, page 415. ACM. [Lison2015] Pierre Lison … 2014. The stanford corenlp natural language processing toolkit …

Conversational AI: Open Domain Question Answering and Commonsense Reasoning
K Basu – arXiv preprint arXiv:1909.08258, 2019 – arxiv.org
… After this the evaluation of chat-bot accelerates and also we notice changes in the approaches … bigger and better, and all other four software giants – Apple, Google, Microsoft and Amazon brought up their chat-bots – Siri, Google … (2014): The Stanford CoreNLP natural language …

BACHELORS THESIS
ME Adam – 2019 – researchgate.net
… 21 2.6 Linguistic structure analysis of the tool Stanford CoreNLP [Mar10a … Therefore, chatbots need to both, understand emotions and be empathic [FBX+18 … The author tried to address empathy and emotional intelligence when implementing the later chatbot, as they seem to be …

An Annotated Corpus of Stories and Gestures for a Robotic Storyteller
A Augello, G Pilato – 2019 Third IEEE International Conference …, 2019 – ieeexplore.ieee.org
… To annotate the gestures, we rely on the Stanford CoreNLP tool. The text is firstly segmented in sentences, and the words are reduced to their lemmas … It has been designed to extend the knowledge of a chatbot. The chatbot can query the ontology to answer a question about …

Delivering Cognitive Behavioral Therapy Using A Conversational SocialRobot
F Dino, R Zandie, H Abdollahi, S Schoeder… – arXiv preprint arXiv …, 2019 – arxiv.org
… and natural language processing techniques has allowed for chatbots and dialogue … Another experiment created a chatbot with emotional capabilities, however for sentence … Stanford CoreNLP has two more categories for sentiments: “verypositive” and “verynegative.” For the …

Semantic Analysis
D Sarkar – Text Analytics with Python, 2019 – Springer
… of self-driving cars, computers beating experienced players in their own games like Chess and Go, and more recently chatbots … E:\stanford\stanford-corenlp-full-2018-02-27>java -mx4g -cp “*” edu.stanford.nlp.pipeline.StanfordCoreNLPServer -preload tokenize,ssplit,pos,lemma …

A Method for Representing Knowledge and Improving Answer Prediction in Question and Answer Domain
F Fadeni – 2019 – eprints.hud.ac.uk
… Existing systems such as natural language personal assistants, Chatbot’s, and query analysers are … Figure 3.1: Showing the output of the Stanford sentence breakdown …………… 35 … Figure 3.3: Showing a major error noticed with CoreNLP …………… 37 …

Slugbot: Developing a computational model andframework of a novel dialogue genre
KK Bowden, J Wu, W Cui, J Juraska, V Harrison… – arXiv preprint arXiv …, 2019 – arxiv.org
… Other existing retrieval based chatbots also operate on large existing corpora such as Twitter [35, 20], the Open Subtitles corpus [13], or movie scripts [4, 2], but none of them use either discourse relations or … Our first layer of NLU relies on the Stanford CoreNLP Toolkit [32] …

Mimic and Rephrase: Reflective listening in open-ended dialogue
J Dieter, T Wang, AT Chaganty, G Angeli… – Proceedings of the 23rd …, 2019 – aclweb.org
… These include a rule based baseline constructed with deterministic syntactic transformations as well as trained neural models. 4.1 Rule based baseline As a naïve baseline, we use a set of hand- written syntactic rephrasing rules using Stanford CoreNLP (Manning et al., 2014) …

Modeling intent, dialog policies and response adaptation for goal-oriented interactions
S Sahay, SH Kumar, E Okur, H Syed… – arXiv preprint arXiv …, 2019 – arxiv.org
… Most dialog systems are categorized as either chatbots or task-oriented where chatbots are open- ended to allow generic … For feature generation, we extracted lemmas, Parts of Speech, Syntactic Structures and Sentiment Polarities using Stanford CoreNLP suite (Manning et al …

Determining Emotional Profile Based on Microblogging Analysis
R Martins, P Henriques, P Novais – EPIA Conference on Artificial …, 2019 – Springer
… Generative Adversarial Networks (GANs) and emotional profiles, a new generation of chatbots can create its … it is planned to create a running example of an emotional chatbot that “learns … M., Bauer, J., Finkel, J., Bethard, SJ, McClosky, D.: The Stanford CoreNLP natural language …

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 dialogue agents which are goal/task ori- ented … Such relations are extracted using NLP tools, such as Stanford CoreNLP Toolkit (Manning et al …

My Buddy App: Communications between Smart Devices through Voice Assist
MG Patel, MK Patil – 2019 – academia.edu
… D. McClosky has suggested the design and the proper use of the Stanford Toolkit which … proposed an algorithm which is work for doing communication between two chatbot devices … voice assist and also it provides the extra functionality of communication between two chatbots …

Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit
F Liu, H Huang, Z Yang, Z Hao… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… several ap- plications such as automated recommending web [3], video dy- namics detection [4], social emotion classification [5] and travel chat robot [6]. The Stanford CoreNLP toolkit [7] provides a framework for analyzing natural language and has a wide scope of applications …

Comparison of Named Entity Recognition Tools Applied to News Articles
S Vychegzhanin, E Kotelnikov – 2019 Ivannikov Ispras Open …, 2019 – ieeexplore.ieee.org
… to work with no specific kind of texts: NLTK, Apache OpenNLP, Stanford CoreNLP, Pattern … NER [14] – ? tool for Named Entity Recognition developed by the Stanford Natural Language … 7. DeepPavlov [10] – a framework for chatbots and virtual assistants development, written in …

ParaQG: A System for Generating Questions and Answers from Paragraphs
V Kumar, S Muneeswaran, G Ramakrishnan… – arXiv preprint arXiv …, 2019 – arxiv.org
… applications in a wide variety of areas such as FAQ generation, intelligent tutoring systems, automating reading comprehension, and virtual assistants/chatbots … pre- sented with a list of all the named entities and noun phrases as extracted using the Stanford CoreNLP tagger to …

Natural Language Processing, Understanding, and Generation
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… Some chatbots are heavy on generative responses, and others are built for retrieving information and … Since this book is about building an enterprise chatbot, we will focus more on the … Stanford CoreNLP is one of the oldest and most robust tools for all natural language tasks …

Dependency Parsing for Spoken Dialog Systems
S Davidson, D Yu, Z Yu – arXiv preprint arXiv:1909.03317, 2019 – arxiv.org
… 4 Dataset and Annotation Process We collected a corpus of humans conversing with an open-domain dialog chatbot based on the Alexa platform (Chen et al., 2018) … 2014. The Stanford CoreNLP natural lan- guage processing toolkit …

Bidirectional Attention for SQL Generation
G Huilin, G Tong, W Fan, M Chao – 2019 IEEE 4th International …, 2019 – ieeexplore.ieee.org
Page 1. Bidirectional Attention for SQL Generation Gao Huilin Information Science Academy China Electronics Technology Group Corporation Beijing, China e-mail: ghl622@126.com Guo Tong Beijing Haishi Technology Co. Ltd …

Irony man: augmenting a social robot with the ability to use irony in multimodal communication with humans
H Ritschel, I Aslan, D Sedlbauer… – … of the 18th …, 2019 – opus.bibliothek.uni-augsburg.de
… CoreNLP [21] is used to identify adjectives, nouns and verbs with polarity based on sen- timent analysis … The robot’s answers were generated by the open-source ALICE chat bot3, which used freely available corpora … In average, the chatbot generated 19.25 answers per session …

A big data approach to examining social bots on Twitter
X Liu – Journal of Services Marketing, 2019 – emerald.com
… Tagging and tokenization are performed with a software tool called Stanford CoreNLP (Manning et al., 2014 … Second, in this digital age, the rising trends of providing superior customer experiences include using artificial intelligence systems, chat bots or big data analytics to gain …

Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
CH Park, W Yang, JC Park – Proceedings of the Second Workshop on …, 2019 – aclweb.org
… Le et al. (2018) proposed a chatbot to interact and debate with people with both retrieval-based and generation- based methods … The vocabulary size is the same for all models and set as 50K. Stanford CoreNLP (Manning et al., 2014) is used to tokenize our dataset …

Complexity-weighted loss and diverse reranking for sentence simplification
R Kriz, J Sedoc, M Apidianaki, C Zheng… – arXiv preprint arXiv …, 2019 – arxiv.org
… After this filtering, we are left with 94,208 training, 1,129 validation, and 1,077 test sentence pairs; these splits are the same as Zhang and Lapata (2017). We preprocess our data by tokenizing and replacing named entities using CoreNLP (Manning et al., 2014) …

Low-Resource Response Generation with Template Prior
Z Yang, W Wu, J Yang, C Xu, Z Li – arXiv preprint arXiv:1909.11968, 2019 – arxiv.org
… where qt is the hidden state of the t-th word in Y , and the base cases ?S(i) = 1, ?i ? {1,…,K}. Specifically, to learn more reasonable segmenta- tions, we parsed every sentence by stanford parser (Manning et al., 2014) and forced NHSMM not to break syntactic elements such as …

Commonsense properties from query logs and question answering forums
J Romero, S Razniewski, K Pal, J Z. Pan… – Proceedings of the 28th …, 2019 – dl.acm.org
… 03/17/facebook-and-youtube-should-learn-from-microsoft-tay-racist-chatbot … After transforming questions into statements, we employ the Stanford OpenIE tool [7] and OpenIE5 … Answers 1.17% Quora, Bing Auto-complete <1% CoreNLP Extraction 63.21% OpenIE5 Extraction 51.24 …

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
… Additionally, we attempted an additional step for further recognition using KNIME’s nodes for Stanford Named Entity Learner [42], for which we trained a CoreNLP CRF model, but had issues recognizing multi-term diseases …

MOLI: Smart Conversation Agent for Mobile Customer Service
G Zhao, J Zhao, Y Li, C Alt, R Schwarzenberg… – Information, 2019 – mdpi.com
… into a structured representation. It first performed sentence segmentation and tokenization of the input using the Stanford CoreNLP toolkit [23], and then determined the question type, namely, how-to or others. In addition, the …

TUM Data Innovation Lab
H Agarwala, R Becker, M Fatima, L Riediger, A Belitski… – 2019 – di-lab.tum.de
… The potential is quite big as developers could improve their chatbots over time … It also provides the flexibility to modify the pipeline and deploy the entire chatbot from personal … In the section of ”Stanford CoreNLP”, we deal with language input that contains multiple intents which …

Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning.
M Lansley, N Polatidis, S Kapetanakis, K Amin… – ICCBR …, 2019 – ceur-ws.org
… Our approach can be applied in offline texts or real time environments and can identify whether a human, chatbot or offline … 6. Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D. (2014) “The Stanford CoreNLP natural language processing toolkit.” In …

Neural Question Generation using Interrogative Phrases
Y Sasazawa, S Takase, N Okazaki – Proceedings of the 12th …, 2019 – aclweb.org
… (2) QG can aid development of conversational chat- bots, which ask … For instance, Yes/No questions (eg, “Did you go to the school?”) or questions whose interrogative phrase is located in the middle of the question, which Stanford CoreNLP cannot de- tect accurately (eg, “Bob …

Informatics in Medicine Unlocked
FL Bello, H Naya, V Raggio, A Rosá – researchgate.net
… Additionally, we attempted an additional step for further recognition using KNIME’s nodes for Stanford Named Entity Learner [42], for which we trained a CoreNLP CRF model, but had is- sues recognizing multi-term diseases …

Multi-task learning with language modeling for question generation
W Zhou, M Zhang, Y Wu – arXiv preprint arXiv:1908.11813, 2019 – arxiv.org
… (2017) and Sun et al. (2018), where the lexical features are ex- tracted with Stanford CoreNLP … Heung-Yeung Shum, Xiaodong He, and Di Li. 2018. From eliza to xiaoice: challenges and opportuni- ties with social chatbots. Frontiers of IT & EE, 19(1):10–26 …

Deep reinforcement learning for modeling chit-chat dialog with discrete attributes
C Sankar, S Ravi – arXiv preprint arXiv:1907.02848, 2019 – arxiv.org
… We annotate the utterances with sentiment tags – positive, negative, neutral using the Stanford Core- NLP tool (Manning et al., 2014) … We tag the Open- Subtitles dataset with the sentiment tags using the Stanford Core-NLP tool (Manning et al., 2014) and Page 7 …

Question-type Driven Question Generation
W Zhou, M Zhang, Y Wu – arXiv preprint arXiv:1909.00140, 2019 – arxiv.org
… Lexi- cal features are extracted using Stanford CoreNLP. Implementation Details Our vocabulary is set to contain the most frequent 20,000 words in each training set … 2018. From eliza to xiaoice: challenges and opportuni- ties with social chatbots …

Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
M Bansal, A Villavicencio – Proceedings of the 23rd Conference on …, 2019 – aclweb.org
… Invited speakers: Christopher Manning, Stanford University, USA Gabriella Vigliocco, University College London, UK … 708 Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao …

Read, attend and comment: a deep architecture for automatic news comment generation
Z Yang, C Xu, W Wu, Z Li – arXiv preprint arXiv:1909.11974, 2019 – arxiv.org
… Such systems can enable commenting service for a news website from cold start, enhance the read- ing experience for less commented news articles, and enrich skill lists of other artificial intelligence applications, such as chatbots (Shum et al., 2018) …

Natural Language Processing
C Room – algorithms, 2019 – devopedia.org
… Text summarization and chatbot are applications that involve NLU and NLG … Where NLU is lacking, it affects the success of NLG . In the area of chatbots, there’s a need to model common sense … In Java, we have OpenNLP, Stanford CoreNLP and CogCompNLP …

CyberDect. A novel approach for cyberbullying detection on Twitter
A López-Martínez, JA García-Díaz… – … on Technologies and …, 2019 – Springer
… Despite these difficulties, NLP has demonstrated to be useful in several scenarios, such as chat-bots, or speech recognition … In order to select which NLP framework use for the processing module, we performed a benchmark between Stanford CoreNLP Natural Language …

Question Answering System to Support University Students’ Orientation, Recruitment and Retention
WA Elnozahy, GA El Khayat, L Cheniti-Belcadhi… – Procedia Computer …, 2019 – Elsevier
… Chatbots are now taking a huge part in their daily lives … Chatbot for E-Learning: A Case of Study … “The Stanford CoreNLP natural language processing toolkit.” In Proceedings of 52nd annual meeting of the association for computational linguistics: system demonstrations (pp …

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 …

Question-answering dialogue system for emergency operations
HY Chan, MH Tsai – International Journal of Disaster Risk Reduction, 2019 – Elsevier
… accurately and efficiently. In our preliminary work, we attempted to develop a chatbot for decision makers and staff at an EOC to assist them in the utilization, selection, and processing of information efficiently and accurately. A user …

Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation
K Zi, X Sun, Y Cao, S Wang, X Feng, Z Ma… – … on Knowledge Science …, 2019 – Springer
… materials for education, QG systems have been widely used as components to improve QA systems, such as in a clinical tool for evaluating or assisting mental health [2, 3], or in a chatbot or intelligent customer … [20] for SQuAD data 2 while utilizing the Stanford CoreNLP 3 to …

Security vulnerability information service with natural language query support
C Rodriguez, S Zamanirad, R Nouri, K Darabal… – International Conference …, 2019 – Springer
… good candidate for integration into productivity tools used in software development and devops environments (eg, through chatbots), which can … Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit …

Pumice: A multi-modal agent that learns concepts and conditionals from natural language and demonstrations
TJJ Li, M Radensky, J Jia, K Singarajah… – Proceedings of the …, 2019 – dl.acm.org
… For the next phase, PUMICE has already determined that “order a cup of Iced Cappuccino” should be an action triggered when the condition “it’s hot” is true, but does not know how to perform this action (also known as intent fulfillment in chatbots [23]) …

Augmenting Abstract Meaning Representation for human-robot dialogue
C Bonial, L Donatelli, S Lukin, S Tratz… – Proceedings of the First …, 2019 – aclweb.org
… that the tar- get human-robot dialogue is physically situated and therefore distinct from other dialogue systems, such as chat bots, which do … in con- trast, starts by obtaining the dependency tree— in this case, using the Charniak parser6 and Stan- ford CoreNLP toolkit (Manning …

Assessing the factual accuracy of generated text
B Goodrich, V Rao, PJ Liu, M Saleh – Proceedings of the 25th ACM …, 2019 – dl.acm.org
… [7], Lample et al. [9] that take in X and produce the set {ei }. NER is followed by co-reference resolution4 [6, 11, 24, 25]. Publicly available NER and co-reference systems include Stanford’s CoreNLP5 and NLTK6. 4.1.2 Relation Classifier. For every pair (ei ,ej ), ei ej we con …

The application of sentiment analysis and text analytics to customer experience reviews to understand what customers are really saying
C Gallagher, E Furey, K Curran – International Journal of Data …, 2019 – igi-global.com
… ofutilizingthisdatatopredictwhatwillhappenshowsaforward-thinking mindset(Steger,2013).The opportunityforexploringpredictivecustomeranalyticstodayisbetter thaneverbefore.Datasources suchascustomersatisfactionsurveys,socialmediachannels,chatbots, voicecallsusing …

Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems
L Zhu, X Dai, Q Huang, H Xiang… – … Conference on Data …, 2019 – ieeexplore.ieee.org
… chatbots) [4]. A task-oriented system is specific to a domain ie, it solves problems in a specific area … the user input has low relevance with healthcare or our knowledge base, our system will call Turing chatbot API or … 7https://github.com/nltk/nltk/wiki/Stanford-CoreNLP-API-in-NLTK …

Natural language processing recipes
A Kulkarni, A Shivananda – 2019 – Springer
… CoreNLP: It is a Python wrapper for Stanford CoreNLP. The toolkit provides very robust, accurate, and optimized techniques for tagging, parsing, and analyzing text in various languages. !pip install CoreNLP … Chatbot, Q & A, and Voice-to-Text applications like Siri and Alexa …

A context-aware conversational agent in the rehabilitation domain
T Mavropoulos, G Meditskos, S Symeonidis… – Future Internet, 2019 – mdpi.com
… assistants has been reported in Reference [10], where emphasis is placed on the role of chatbots beyond patient monitoring; it focuses on patient–doctor interaction over a chatbot-driven telemedicine platform after the former has been discharged from a clinical environment …

Understanding human decision-making during production ramp-up using natural language processing
M Zimmer, A Al-Yacoub, P Ferreira… – 2019 IEEE 17th …, 2019 – ieeexplore.ieee.org
… AMong The coMMonLy used TooLNiTs are NaTuraL Language TooLNiT (NLTK), Apache OpenNLP and STanford CoreNLP [23 … as a LongYTerM goaL, The deveLopMenT of a chaTboT is foreseen ThaT wiLL heLp The operaTor Through The decisionYMaNing of The raMpYup …

Artificial Intelligence Within the Bounds of Ontological Reason.
A Oltramari – Ontology Makes Sense, 2019 – books.google.com
… representations is language: if humans normally interact in written or spoken language, intelligent software agents like chatbots or embodied … 45 (2)(2002), 61–5. Manning C., Surdeanu M., Bauer J., Finkel J., Bethard S., McClosky D., The Stanford CoreNLP natural language …

A Neural Entity Coreference Resolution Review
N Stylianou, I Vlahavas – arXiv preprint arXiv:1910.09329, 2019 – arxiv.org
… the CIC (Chen and Choi, 2016) dataset hed annotated multi-party conversations and was aimed to improve Coreference Resolution on Chatbots … were ex- tracted using either the Berkeley Coreference System (BCS) (Durrett and Klein, 2013) or the Stanford Deterministic Coref …

Applying Formal Logic Validation to Enhance Natural Language Understanding
W Marurngsith, P Weawsawangwong – Proceedings of the 2019 8th …, 2019 – dl.acm.org
… in many applications in modern living, for example: human-robot interaction, virtual assistants, document summarization, chatbots, conversational documenta … C. Manning, M. Surdeanu, J. Bauer, J. Finkel, S. Bethard, and D. McClosky, “The Stanford CoreNLP natural language …

An Urdu semantic tagger-lexicons, corpora, methods and tools
J Shafi – 2019 – eprints.lancs.ac.uk
… [65], software engineering [227], empirical language analysis [171], requirements engineering [182], historical semantic analysis via HTST 1.1 [166], to train a Chatbot [218], and several others [23, 214]. Moreover, USAS [180] has been ported previously …

Knowledge-Powered Inference of Crowd Behaviors in Semantically Rich Environments
X Zhang, D Schaumann, P Faloutsos… – Proceedings of the AAAI …, 2019 – aaai.org
Page 1. Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-19) Knowledge-Powered Inference of Crowd Behaviors in Semantically Rich Environments Xun Zhang …

Automatic Comprehension of Customer Queries for Feedback Generation
NE Okwunma – 2019 – academia.edu
… Service (CNS) was used as test case. A prototype chat-bot application was developed that takes customer queries in a chat, automatically maps them to a FAQ, and presents … prototype chat-bot application was developed. This chat-bot takes customer queries in …

Teaching Modelling Literacy: An Artificial Intelligence Approach
R Saini, G Mussbacher, JLC Guo… – 2019 ACM/IEEE 22nd …, 2019 – ieeexplore.ieee.org
… Figure 2. Dependency graph (output from Stanford CoreNLP [8]) … There are a few chatbots in education which have already started making the learning experience of students more … created a chatbot called “Jill Watson” based on IBM’s Watson platform to manage forum posts by …

Natural Language Processing for Government: Problems and Potential
Y Wijeratne, N de Silva, Y Shanmugarajah – 2019 – researchgate.net
… Here, using a single, publicly available library; Stanford CoreNLP [109], we have attempted to examine the poem on … 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 …

The computational case against computational literary studies
NZ Da – Critical inquiry, 2019 – journals.uchicago.edu
… Consider this plot by the Stanford Literary Lab (and originally produced by Michael Witmore and Jonathan Hope) that argues that perhaps “narrative genres can be reduced to two basic variables” and that perhaps something besides genre drives the differences among William …

Abstract Meaning Representation for Human-Robot Dialogue
CN Bonial, L Donatelli, J Ervin… – Proceedings of the …, 2019 – scholarworks.umass.edu
… This stands in con- trast to many other dialogue systems, such as task- oriented chat bots, which do not require establish- ing and … CAMR, in con- trast, starts by obtaining the dependency tree (in this case, using the Charniak parser4 and Stanford CoreNLP toolkit (Manning et al …

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 …

Named Entity Resolution for Historical Texts
A Holmes – 2019 – digital.lib.washington.edu
… In this thesis, we compare performance of common Named Entity Recognition (NER) libraries including Stanford CoreNLP, spaCy … Think of the auto-correct on your smartphone; voice assistants such as Siri, Alexa, and Cortana; and chat bots among many other applications …

Natural Human Robot Interaction Using Artificial Intelligence: A Survey
R Bamdale, S Sahay… – 2019 9th Annual …, 2019 – ieeexplore.ieee.org
… the natural language which constituents different techniques liNe semantic parsing, sentiment analysis, summarization, worNing mechanism of chatbots, dialogues agents … [42] manning c, surdeanu m, Bauer J, FinNel J, Bethard s, et al, IThe Stanford CoreNLP Natural Language …

Lithium-Ion Batteries
B Writer – A Machine-Generated Summary of Current Research …, 2019 – Springer
… fiction (with quite diverse and fascinating results), automated journalism such as in sports, stock market reports or auto-produced weather forecast (data-to-text), automated medical reviews and not to forget the remarkable progress in dialog systems (chat bots, smart speakers) …

Assessing the robustness of conversational agents using paraphrases
J Guichard, E Ruane, R Smith, D Bean… – 2019 IEEE …, 2019 – ieeexplore.ieee.org
… In recent years, these agents, also known as chatbots, have become increasingly popular … Dependency parsing using the Stanford Core NLP tools [12] is also performed in order to identify … survey in which users were asked to type queries as if they were addressing a chatbot …

A Dataset of Real Dialogues for Conversational Recommender Systems.
A Iovine, F Narducci, M de Gemmis – CLiC-it, 2019 – ceur-ws.org
… It was deployed as a Telegram chatbot, but it can be easily ported to any other messaging platform, such as Facebook Messen- ger … This component is developed using Stanford CoreNLP4 … 2https://dialogflow.com/ 3https://www.wikidata.org 4https://stanfordnlp.github.io/CoreNLP …

Towards Literate Artificial Intelligence
M Sachan – 2019 – ml.cmu.edu
Page 1. Towards Literate Artificial Intelligence Mrinmaya Sachan June 2019 CMU-ML-19-110 Machine Learning Department School of Computer Science Carnegie Mellon University Pittsburgh, PA Thesis Committee Eric P. Xing, Chair Jaime Carbonell Tom Mitchell Dan Roth …

Cognitive Computing Recipes
A Masood, A Hashmi – Springer
… Printed on acid-free paper Adnan Masood Stanford, CA, USA Adnan Hashmi Nashville, TN, USA Page 4. To my family. —Adnan Masood To my motherland. —Adnan Hashmi Page 5. v … 190 CoreNLP ….. 191 …

Path to solve Conflicts in Chats with the help of NLP
EO Hämmerle – 2019 – elib.uni-stuttgart.de
… and profanity-analysis. Since both partly analyze every token in the message, the Stanford CoreNLP server is tasked with the tokenization of the message … of CoreNLP to the schema of the message and to cache the parts that were 20 Page 22 … bot” was investigated …

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 …

Decompositional Semantics for Events, Participants, and Scripts in Text
R Rudinger – 2019 – jscholarship.library.jhu.edu
… AI: How did it taste? Figure 1.1: An example of an award-winning chatbot, “Mitsuku,” failing to respond appropriately to a human user … UDS’s tethering to UD syntax enables integration of semantic features from other UD-based tools, like Stanford CoreNLP (as will be …

Processing Open Text Input in a Scripted Communication Scenario
FPM Heemskerk – 2019 – dspace.library.uu.nl
… ReaderBench uses the Stanford NLP [26] toolkit for calculating the semantic values of a document … Chatbots converse unconfined, a chatbot conversation can go on until a user determines the conversation is over, whereas a scenario has a beginning and an end. 7 …

Can Sentiment Analysis Reveal Structure in a Plotless Novel?
K Elkins, J Chun – arXiv preprint arXiv:1910.01441, 2019 – arxiv.org
… conversations, and create emotionally intelligent chatbots like Xiaoice that humans find more engaging … Susan Stanford Friedman, in “Lyric Subversions of Narrative,” opts for reading Woolf’s novel not as the simple binary opposition of feminine lyric and masculine plot, but as a …

Survey on publicly available sinhala natural language processing tools and research
N de Silva – arXiv preprint arXiv:1906.02358, 2019 – arxiv.org
… We provide a comparative analysis of parsing the very simple English sentence “I eat a red apple” and its Sinhala, Hindi, and French translations in Fig 2. English and French parsing was done using the Stanford Parser6. Hindi parsing was done using the …

Editors: Eunika Mercier-Laurent Mieczys?aw L. Owoc Waltraut Ritter
W Ritter, AEF Segrouchni, D Sarne, A Jiang – academia.edu
Page 1. Proceedings 7 th International Workshop on Artificial Intelligence for Knowledge Management (AI4KM 2019) AI for Humans August 11th, 2019, Macao, China Editors: Eunika Mercier-Laurent Mieczys?aw L. Owoc Waltraut Ritter Organizing Committee …

Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies
C Barros – 2019 – rua.ua.es
Page 1. Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies Cristina Barros Catalán Page 2. Departamento de Lenguajes y Sistemas Informáticos Escuela Politécnica Superior Proposal of a Hybrid Approach for …

Automatic Detection of Emotions and Distress in Textual Data
E Mohammadi – 2019 – caiac.ca
Page 1. Automatic Detection of Emotions and Distress in Textual Data Elham Mohammadi A Thesis in The Department of Computer Science and Software Engineering Presented in Partial Fulfillment of the Requirements for the Degree of Master of Computer Science at …

Fluent Editor and Controlled Natural Language in Ontology Development
P Weichbroth – International Journal on Artificial Intelligence Tools, 2019 – World Scientific
Page 1. International Journal on Artificial Intelligence Tools Vol. 28, No. 4 (2019) 1940007 (36 pages) c World Scientific Publishing Company DOI: 10.1142/S0218213019400074 Fluent Editor and Controlled Natural Language in Ontology Development …

On the integration of conceptual hierarchies with deep learning for explainable open-domain question answering
H Tayyar Madabushi – 2019 – etheses.bham.ac.uk
… majority of interactions between users and chatbots are in the form of questions from users that are to be answered by the chatbot. However, chatbots additionally require techniques of extending conversations with users, motivating further interaction and other elements of …

Follow-up Question Generation
Y Mandasari – 2019 – essay.utwente.nl
… Generally, chatbots carry an en- tertainment aspect. Examples include Simsimi1, which has the capability to chat with people on text-based platforms and Microsoft XiaoIce, a Chinese socialbot capable of making real spoken word phone calls. Chatbot architectures are …

Socially-Aware Dialogue System
R Zhao – 2019 – lti.cs.cmu.edu
… systems/bots: (1) task completion bots that help users complete discrete tasks such as booking movie tickets, making restaurant reservations, and so on; (2) information retrieval bots that support an interactive Q&A system over a knowledge base; and (3) social chatbots that aim …

Incorporating Structural Bias into Neural Networks for Natural Language Processing
Z Yang – 2019 – ra.adm.cs.cmu.edu
… We can also build chat bots that are able to carry on conversations with humans—albeit only for a short duration before losing credibility … Suppose we would like to build models for chat bots, it is very difficult to get high quality dialogues to train a model …

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
… computational linguistic theories. NLU tools, such as Stanford CoreNLP35 and FRED, that are able to identify syntactic and semantic information, taking also into account the discourse context, have been developed. They rely …

Computational Framework for Facilitating Intimate Dyadic Communication
D Utami – 2019 – repository.library.northeastern.edu
Page 1. Computational Framework for Facilitating Intimate Dyadic Communication A dissertation presented By Dina Utami to the Faculty of the Graduate School of the Khoury College of Computer Sciences in partial fulfillment of the requirements for the degree of …

Learning to predict text quality using Generative Adversarial Networks
W Sheriff – 2019 – diva-portal.org
… ix Page 16. Page 17. Chapter 1 Introduction The ability for computers to generate text that is close to the quality of human written text has a lot of real world applications such as translation from one language to another, chat- bots, question answering, summarization etc …

App-Aware Response Synthesis for User Reviews
U Farooq, AB Siddique, F Jamour, Z Zhao, V Hristidis – 2019 – cs.ucr.edu
Page 1. App-Aware Response Synthesis for User Reviews Umar Farooq*, AB Siddique*, Fuad Jamour, Zhijia Zhao, Vagelis Hristidis University of California, Riverside Email: ufaro001@ucr. edu, msidd005@ucr.edu, fuadj@ucr.edu, zhijia@cs.ucr.edu, vagelis@cs.ucr.edu …

A Multi-Modal Intelligent Agent that Learns from Demonstrations and Natural Language Instructions
TJJ Li – 2019 – pdfs.semanticscholar.org
Page 1. A Multi-Modal Intelligent Agent that Learns from Demonstrations and Natural Language Instructions Ph.D. Thesis Proposal Toby Jia-Jun Li Human-Computer Interaction Institute Carnegie Mellon University tobyli@cs.cmu.edu http://toby.li/ November 26, 2019 …

Understanding the Users and Videos by Mining a Novel Danmu Dataset
G Lv, K Zhang, L Wu, E Chen, T Xu… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… Moreover, danmus contain plenty of domain-specific words, which cannot be easily translated with online tools. Thus, we first utilize Name Entity Recognition tool, ie Stanford CoreNLP13, to label all the name entity in danmus … https://stanfordnlp.github.io/CoreNLP/ Page 4 …

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