Language-independent & Dialog Systems

Notes:

In the context of natural language processing (NLP) and dialog systems, “language-independent” often refers to the ability of the system to handle multiple languages without the need for language-specific processing or training. For example, a language-independent dialog system might be able to understand and respond to input in multiple languages, such as English, Spanish, and French, without requiring separate models or processing for each language.

“Language-independent” can also refer to programming language, in which case it means that a system or piece of software is not tied to a specific programming language and can be implemented in any language. For example, a language-independent software library might provide a set of functions or APIs that can be used in any programming language, rather than being specific to a particular language.

Resources:

Wikipedia:

References:

See also:

Dialog Agents

Reinforcement Learning for Improved Low Resource Dialogue Generation
AV González-Garduno – Proceedings of the AAAI Conference on Artificial …, 2019 – aaai.org
… In addition, goal oriented dialogue systems pose a different kind of chal- lenge … In this thesis, I focus on language independent methods of improving utterance un- derstanding and response generation and attempt to tackle some of the issues surrounding current systems …

Cross-Lingual Transfer Learning for Affective Spoken Dialogue Systems.
K Gjoreski, A Gjoreski, I Kraljevski… – …, 2019 – pdfs.semanticscholar.org
… Index Terms: transfer learning, cross-lingual, spoken dialog systems, affective computing … model to perform well due to its insufficient number of utterances is one of the main reasons why creation of such model should be avoided and require a language-independent model …

The eighth dialog system technology challenge
S Kim, M Galley, C Gunasekara, S Lee… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. The Eighth Dialog System Technology Challenge Seokhwan Kim, Michel Galley, Chulaka Gunasekara … Sunkara, Raghav Gupta? Abstract This paper introduces the Eighth Dialog System Technology Challenge. In line with …

Dialogue breakdown detection robust to variations in annotators and dialogue systems
J Takayama, E Nomoto, Y Arase – Computer Speech & Language, 2019 – Elsevier
… Advanced. Elsevier. Computer Speech & Language. Volume 54, March 2019, Pages 31-43. Computer Speech & Language. Dialogue breakdown detection robust to variations in annotators and dialogue systems? … However, our models are language independent …

Context-Dependent Synonym and Concept Extraction for Dialogue Systems Training
MA Khovrichev, IA Chernykh… – 2019 International …, 2019 – ieeexplore.ieee.org
… Nevertheless, modern approaches that are usually used in building neural dialogue systems can be applied with certain limitations … This can be described as a process of building language-independent representations of syntactic structures (ie words, phrases, sentences …

Review of Research on Task-Oriented Spoken Language Understanding
L Hou, Y Li, C Li, M Lin – Journal of Physics: Conference Series, 2019 – iopscience.iop.org
… References [1] Chen H, Liu X, Yin D, et al. A Survey on Dialogue Systems[J]. ACM SIGKDD Explorations Newsletter, 2017, 19(2):25-35. [2] LI Yanling, YAN Yonghong … [7] Cucerzan S, Yarowsky D. Language independent named entity recognition combining morphological and …

Human interaction with shopping assistant robot in natural language
G Sidorov, I Markov, O Kolesnikova… – Journal of Intelligent …, 2019 – content.iospress.com
… Our model, with the exception of the templates, is language-independent … [8]. Y. Wilks , N. Webb , A. Setzer , M. Hepple and R. Catizone , Machine learning approaches to human dialogue modeling, In Advances in Natural Multimodal Dialogue Systems, 2005, pp. 355–370. [9] …

Cross-lingual Training for Retrieval-based Dialogue Systems?
N Mamaev, A Nugmanova – 2019 – ceur-ws.org
… The results also confirm that Page 7. Cross-lingual Training for Retrieval-based Dialogue Systems 7 Table 2. Loss on the training data … Our main hypothesis was that adversarial component would make encoder to generate language-independent features …

Better Morphology Prediction for Better Speech Systems.
D Sharma, M Wilson, A Bruguier – INTERSPEECH, 2019 – pdfs.semanticscholar.org
… to better speech systems either directly by rescor- ing models for correcting morphology, or indirectly by more accurate dialog systems with improved … of-the-art results [8] [9]. In this work we present a detailed evaluative study of differ- ent language-independent neural paradigms …

End-to-End Neural Context Reconstruction in Chinese Dialogue
W Yang, R Qiao, H Qin, A Sun, L Tan… – Proceedings of the First …, 2019 – aclweb.org
… 1 700 000 Table 2: Statistics of the generated CQA dataset per are language- independent. We have evaluated our models on three datasets. The statistics of all datasets is shown in Table 1 and Table 2. • CONLL2012: To get …

Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding
J Kim, JH Lee – arXiv preprint arXiv:1910.12531, 2019 – arxiv.org
… Williams, and Matthew Henderson, “The fourth dialog state tracking challenge,” in Pro- ceedings of International Workshop on Spoken Dialog Systems (IWSDS), 2016 … [17] Taku Kudo and John Richardson, “SentencePiece: A simple and language independent subword tokenizer …

A survey of code-switched speech and language processing
S Sitaram, KR Chandu, SK Rallabandi… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. arXiv:1904.00784v2 [cs.CL] 2 Apr 2019 A Survey of Code-switched Speech and Language Processing Sunayana Sitaram Microsoft Research India Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W Black Carnegie Mellon University Abstract …

Making Pepper Understand and Respond in Romanian
D Tufis, VB Mititelu, E Irimia, M Mitrofan… – … on Control Systems …, 2019 – ieeexplore.ieee.org
… this point of view, our approach is based on a 21st century-updated version of GUS [5], a frame-driven dialog system that was … the original form of the possible verbal interactions between a human and the robot must be conceived of at a conceptual, language independent level …

Generalizing Natural Language Analysis through Span-relation Representations
Z Jiang, W Xu, J Araki, G Neubig – arXiv preprint arXiv:1911.03822, 2019 – arxiv.org
Page 1. GENERALIZING NATURAL LANGUAGE ANALYSIS THROUGH SPAN-RELATION REPRESENTATIONS Zhengbao Jiang Language Technologies Institute Carnegie Mellon University zhengbaj@cs.cmu.edu Wei Xu …

Responsive and Self-Expressive Dialogue Generation
K Chikai, J Takayama, Y Arase – Proceedings of the First Workshop on …, 2019 – aclweb.org
… 3 Proposed Architecture To be easily implemented on existing dialogue systems, our model design aims to be simple … Another advantage of TWEET2VEC is that it is language-independent and easily adapted to different languages …

Design and deployment of multilingual industrial voice control applications
I Kraljevski, M Pohl, A Gjoreski, U Koloska… – Studientexte zur …, 2019 – essv.de
… To implement the natural language understanding the open source solution Rasa NLU was used [9]. The intent classification is language independent and the slot value resolution was done … [6] R. JONSON, Multilingual NLP Methods for Multilingual Dialogue Systems, Dec …

Leveraging non-conversational tasks for low resource slot filling: Does it help?
S Louvan, B Magnini – Proceedings of the 20th Annual SIGdial Meeting …, 2019 – aclweb.org
… Abstract Slot filling is a core operation for utterance understanding in task-oriented dialogue sys- tems. Slots are typically domain-specific, and adding new domains to a dialogue system in- volves data and time-intensive processes … dialogue systems …

A comparative survey of recent natural language interfaces for databases
K Affolter, K Stockinger, A Bernstein – The VLDB Journal, 2019 – Springer
Over the last few years, natural language interfaces (NLI) for databases have gained significant traction both in academia and industry. These systems use very different approaches as described in…

ERNIE: Enhanced language representation with informative entities
Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. ERNIE: Enhanced Language Representation with Informative Entities Zhengyan Zhang1,2,3?, Xu Han1,2,3?, Zhiyuan Liu1,2,3†, Xin Jiang4, Maosong Sun1,2,3, Qun Liu4 1Department of Computer Science and Technology …

Robust to Noise Models in Natural Language Processing Tasks
V Malykh – Proceedings of the 57th Annual Meeting of the …, 2019 – aclweb.org
… 5 Aspect Extraction Aspect extraction task could provide information to make dialogue systems more engaging for user (Liu et al., 2010) … 2003. Introduction to the conll-2003 shared task: Language-independent named entity recognition …

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph
X Lin, X He, Q Chen, H Tou, Z Wei, T Chen – Proceedings of the 2019 …, 2019 – aclweb.org
… diagnosis. Only a few researchers focus on the dialogue be- tween doctors and patients. (Wei et al., 2018) pro- posed a reinforcement learning based framework for medical dialogue system for automatic diag- nosis. As shown …

Neural Transition Systems for Modeling Hierarchical Semantic Representations.
RA Bhat, J Chen, R Prasad, S Bangalore – INTERSPEECH, 2019 – isca-speech.org
… S. Sharma, J. Zumer, J. Harris, E. Fine, R. Mehrotra, and K. Suleman, “Frames: A corpus for adding memory to goal-oriented dialogue systems,” in Proceedings of … [23] EFTK Sang and FD Meulder, “Introduction to the conll-2003 shared task: Language-independent named entity …

ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks
X Jia, J Tai, H Zhou, Y Li, W Zhang, H Du… – arXiv preprint arXiv …, 2019 – arxiv.org
… To cope with such problems, we propose an emotion transfer system named ET-GAN, for learning language-independent emotion transfer from one emotion to another without parallel train- ing … [7] point out that even in a non-task-oriented dialogue system, emotional speech …

Multimodal dialogue processing for machine translation
A Waibel – The Handbook of Multimodal-Multisensor Interfaces …, 2019 – dl.acm.org
… Field-adaptable and extendable systems. Languages and vocabularies change, and interpreting dialogue systems must evolve alongside such changing languages and vocabularies and adapt to any given dialogue scenario …

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
S Tanaka, K Yoshino, K Sudoh, S Nakamura – arXiv preprint arXiv …, 2019 – arxiv.org
… 2018. Sentence- Piece: A Simple and Language Independent Sub- word Tokenizer and Detokenizer for Neural Text Processing … 2016. How NOT to Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation …

Toolkits for Building Multimodal Systems and Applications
M Feld, R Ne?selrath – The Handbook of Multimodal-Multisensor …, 2019 – books.google.com
… Page 172. 146 Chapter 4 Software Platforms and Toolkits for Building Multimodal Systems and Applications 4.3 A dialogue system is a software agent that allows users to converse with a ma- chine in a coherent structure … Page 175. 4.3 Architecture of Dialogue Systems 149 4.3 …

Comprehensive structured knowledge base system construction with natural language presentation
SA Khanam, F Liu, YPP Chen – Human-centric Computing and Information …, 2019 – Springer
… information. To address this issue, we propose Natural Language Independent Knowledge Representation (NLIKR), a method which regards each word as a concept which should be defined by its relations with other concepts …

Generalizing Question Answering System with Pre-trained Language Model Fine-tuning
D Su, Y Xu, GI Winata, P Xu, H Kim, Z Liu… – Proceedings of the 2nd …, 2019 – aclweb.org
… the world and understanding of natural language. This task is essential for in- telligent dialogue systems to quickly respond in a search engine or a product recommendation sys- tem. Recently, we have witnessed several break …

Software platforms and toolkits for building multimodal systems and applications
M Feld, R Ne?elrath, T Schwartz – The Handbook of Multimodal …, 2019 – dl.acm.org
… Page 2. 146 Chapter 4 Software Platforms and Toolkits for Building Multimodal Systems and Applications A dialogue system is a software agent that allows users to converse with a ma- chine in a coherent structure … Page 3. 4.3 Architecture of Dialogue Systems 147 …

The role of speech technology in biometrics, forensics and man-machine interface.
S Singh – International Journal of Electrical & Computer …, 2019 – search.ebscohost.com
… speech, but the speech generated by the machine lacks individuality, expression and the communicative intent and the dialogue systems of the … (iv) Semantic Analysis relates syntactic structures from the levels of phrases and sentences to their language-independent meanings …

4Software Platforms and Toolkits for Building Multimodal Systems
M Feld, R Neßelrath, T Schwartz – The Handbook of Multimodal-Multisensor … – dl.acm.org
… 146 Chapter 4 Software Platforms and Toolkits for Building Multimodal Systems and Applications A dialogue system is a software agent that allows users to converse with a ma- chine in a coherent structure … 4.3 Architecture of Dialogue Systems 149 express some information …

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph
Q Chen, X Lin, X He, H Tou, T Chen, Z Wei – sdspeople.fudan.edu.cn
… diagnosis. Only a few researchers focus on the dialogue be- tween doctors and patients. (Wei et al., 2018) pro- posed a reinforcement learning based framework for medical dialogue system for automatic diag- nosis. As shown …

Hybrid framework for speaker-independent emotion conversion using i-vector PLDA and neural network
S Vekkot, D Gupta, M Zakariah, YA Alotaibi – IEEE Access, 2019 – ieeexplore.ieee.org
… Hence, the proposed framework can be used for scarce-language emotion mod- elling where sufficient parallel data from the target speaker is not available. This gives rise to new prospects in text and possibly even language independent data scenarios …

Speech Technology for Swedish: Current Impact Areas for Applications and Edyson, an Innovative Tool for Accessing Speech Data
D House, P Fallgren, J Edlund – lt4all.org
… It pushes Swedish spoken dialogue system research by providing a new clear and useful dialogue type … Another reason for using Edyson is that it is completely language independent; one could even explore a recording containing two different spoken languages with the hope …

Real-World Conversational AI for Hotel Bookings
B Li, N Jiang, J Sham, H Shi… – 2019 Second International …, 2019 – ieeexplore.ieee.org
… [2] DG Bobrow, RM Kaplan, M. Kay, DA Norman, H. Thompson, and T. Winograd, “Gus, a frame-driven dialog system,” Artificial intelligence, vol … 1756–1765. [12] EFTK Sang and F. De Meulder, “Introduction to the CoNLL- 2003 shared task: Language-independent named entity …

#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
T Bauer, E Devrim, M Glazunov, WL Jaramillo… – … Conference on Machine …, 2019 – Springer
… arXiv preprint arXiv:1810.04805 (2018). 10. Burtsev, M., et al.: DeepPavlov: open-source library for dialogue systems … Tjong Kim Sang, EF, De Meulder, F.: Introduction to the CoNLL-2003 shared task: language-independent named entity recognition …

Resources for mental lexicon research: A delicate ecosystem
E Keuleers, M Marelli – Word Knowledge and Word Usage, 2019 – library.oapen.org
… Consider how spellcheck and grammar check determine our online behavior in written production or how personalized dialogue systems (such as Apple Siri, Amazon Echo, or Google Home) recognize some commands while they do not recognize others …

Discourse-Level Dialogue Management
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… discourse parsers of languages other than English are limited, the discourse structure itself is designed in a language-independent manner and … The workhorse of traditional dialog systems is slot-filling (Wang and Lemon 2013) which predefines the structure of a dialog state as …

An Intelligent Behaviour Shown by Chatbot System for Banking in Vernacular Languages
M Rajbabu, P Prabhuraj, S Jeyabalan – 2019 – academia.edu
… In semantic Web knowledge has been used in order to improve the capabilities of a language independent conversational agent oriented to solve question answering tasks … Natural Language Dialog Systems (NLDs) are an easiest way to access information about the datasets …

Entity resolution for noisy ASR transcripts
A Raghuvanshi, V Ramakrishnan, V Embar… – Proceedings of the …, 2019 – aclweb.org
… Our dialog system consists of a set of classi- fiers, information retrieval components and a di- alogue manager as described in Raghuvanshi et al. (2018) … 1997. Language-independent data-oriented grapheme-to-phoneme conversion …

Native Language Identification in Very Short Utterances Using Bidirectional Long Short-Term Memory Network
F Adeeba, S Hussain – IEEE Access, 2019 – ieeexplore.ieee.org
… NLI can also facilitate a spoken dialog system by suggesting a user’s cultural background. Majority of the research in the area of NLI is focused on identifying the native language of speakers learning English as a second language …

Effective vector representation for the Korean named-entity recognition
S Kwon, Y Ko, J Seo – Pattern Recognition Letters, 2019 – Elsevier
… NER is now widely used in natural language processing (NLP), especially in fields where the proper name information has a great effect on the performance including dialogue system [23], knowledge base population [6], to name but a few …

Proceedings of the 2019 Workshop on Widening NLP
A Axelrod, D Yang, R Cunha, S Shaikh… – Proceedings of the 2019 …, 2019 – aclweb.org
… A Deep Learning Approach to Language-independent Gender Prediction on Twitter Reyhaneh Hashempour … Evaluating Coherence in Dialogue Systems using Entailment Nouha Dziri, Ehsan Kamalloo, Kory Mathewson and Osmar Zaiane …

CMU wilderness multilingual speech dataset
AW Black – ICASSP 2019-2019 IEEE International Conference …, 2019 – ieeexplore.ieee.org
… we can build rea- sonable models that are sufficient to be used in tasks such as speech translation and dialog systems … It is basically language independent, thus it ignores orthography distribu- tions in any particular language thus misses digraph/trigraph and contextualized …

Implementation Of An Automatic Question Answering System Using Machine Learning
SA ABIR – 2019 – researchgate.net
… responses. Recently, researchers begin to develop data driven approaches [18]. Statistical goal-oriented dialogue systems have long been modeled as partially observable … words. The seq2seq architecture has also been broadly used in dialogue system. Tao …

Conversational Interfaces for Explainable AI: A Human-Centred Approach
SF Jentzsch, S Höhn, N Hochgeschwender – International Workshop on …, 2019 – Springer
… 4. Inferring implications for an implementation in a dialogue system … of examples using CA for the analysis: the author described turn formats as a set of abstract rules that can be filled with different sets of interaction devices and are, in this way, even language independent …

Natural language interfaces to relational databases
C González Gutiérrez – 2019 – idus.us.es
Page 1. UNIVERSIDAD DE SEVILLA M´ASTER UNIVERSITARIO EN L´OGICA, COMPUTACI ´ON E INTELIGENCIA ARTIFICIAL TRABAJO FIN DE M´ASTER NATURAL LANGUAGE INTERFACES TO RELATIONAL DATABASES César Gonz´alez Gutiérrez …

Neural lexicons for slot tagging in spoken language understanding
K Williams – Proceedings of the 2019 Conference of the North …, 2019 – aclweb.org
Page 1. Proceedings of NAACL-HLT 2019, pages 83–89 Minneapolis, Minnesota, June 2 – June 7, 2019. c 2019 Association for Computational Linguistics 83 Neural Lexicons for Slot Tagging in Spoken Language Understanding …

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
M Gong, L Shou, W Lin, Z Sang, Q Yan, Z Yang… – arXiv preprint arXiv …, 2019 – arxiv.org
… Sequence genera- tion is widely used in NLP fields such as ma- chine translation (Bahdanau et al., 2015), text summarization (See et al., 2017), and dialogue systems (Wen et al., 2015) … Introduction to the conll-2003 shared task: Language-independent named entity recognition …

Using question-specific vocabularies to support speech data collection with SALAAM
KN Chibuye – 2019 – 137.158.155.148
… viii Page 11. Glossary ALISP Automatic Language Independent Speech Processing ASR Automatic Speech Recognition … MSP Microsoft Speech Platform SDK Software Development Kit SDS Spoken Dialogue Systems SMS Short Message Service UCT University of Cape Town …

Improving Named Entity Recognition with Commonsense Knowledge Pre-training
G Dekhili, NT Le, F Sadat – Pacific Rim Knowledge Acquisition Workshop, 2019 – Springer
… This has been accentuated by the proliferation of Artificial Intelligence (AI) technologies like dialogue systems, recommendation systems and information … Tjong Kim Sang, E.-F., De Meulder, F.: Introduction to the CoNLL-2003 shared task: language-independent named entity …

Resources for mental lexicon research
E Keuleers, M Marelli – pure.uvt.nl
… Consider how spellcheck and grammar check determine our online behavior in written production or how personalized dialogue systems (such as Apple Siri, Amazon Echo, or Google Home) recognize some commands while they do not recognize others. As …

ReQA: An evaluation for end-to-end answer retrieval models
A Ahmad, N Constant, Y Yang, D Cer – arXiv preprint arXiv:1907.04780, 2019 – arxiv.org
… 2019. Training neural response selection for task-oriented dialogue systems. arXiv preprint arXiv:1906.01543 … Taku Kudo and John Richardson. 2018. SentencePiece: A simple and language independent sub- word tokenizer and detokenizer for neural text processing …

Arabic Text Semantic Graph Representation
WM Al Etaiwi, A Awajan – 2019 2nd International Conference …, 2019 – ieeexplore.ieee.org
… AMR is a manual semantic representation model. A language-independent semantic representation model is proposed by Uchida et al. [18] … The proposed model is used to enhance human-machine Spoken Dialogue System (SDS) …

An Analysis of Recent Advancements on the Dependency Parser
PH Ratilal – 2019 – academia.edu
… 363-370, 2015. [2] M. Savic´, G. Rakic´, Z. Budimac and M. Ivanovic, “A language-independent approach to the … [4] WZ YUAN, Z. MIAO, W. ZHU and W. LIU, “Detecting errors in Chinese spoken dialog system using ngram and dependency parsing,” ICWMMN Proceedings, 2008 …

ELG: An Event Logic Graph
X Ding, Z Li, T Liu, K Liao – arXiv preprint arXiv:1907.08015, 2019 – arxiv.org
… Page 7. Figure 7: A screenshot of the online ELG demo. state-of-the-art performance of script event predic- tion in the work of (Li et al., 2018). We can also incorporate ELG into dialog systems to ensure that the auto-reply answers are more logical …

Modeling of Filled Pauses and Prolongations to Improve Slovak Spontaneous Speech Recognition
J Staš, D Hládek, J Juhár – Cognitive Infocommunications, Theory and …, 2019 – Springer
… at the sentence boundaries can enhance the user comprehension and improve the naturalness of the responses of a spoken dialogue system … studies also indicate that filled pauses and other hesitation fillers occurring in spontaneous speech are language independent [39, 40 …

Few-shot classification in named entity recognition task
A Fritzler, V Logacheva, M Kretov – … of the 34th ACM/SIGAPP Symposium …, 2019 – dl.acm.org
… These names can be individual words or phrases in a sentence. Therefore, NER is usually interpreted as sequence labelling task. This task is actively used in various information extraction frame- works and is one of the core components of goal-oriented dialogue systems [23] …

Knowledge extraction from simplified natural language text
H Abdelaal – corpus, 2019 – aran.library.nuigalway.ie
Page 1. Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Downloaded 2020-06-11T17:41:08Z Some rights reserved. For more information, please see the item record link above …

Multiword expressions in multilingual applications within the Grammatical Framework
K Angelov – Representation and parsing of multiword expressions …, 2019 – library.oapen.org
… The typical applications are in natural language generation, dialogue systems, machine translation or in question answering sys- tems where it is feasible to assume a limited language domain … The abstract syntax is a language-independent Krasimir Angelov. 2019 …

Comparison of Named Entity Recognition Tools Applied to News Articles
S Vychegzhanin, E Kotelnikov – 2019 Ivannikov Ispras Open …, 2019 – ieeexplore.ieee.org
… 3–26. [2] EFTK Sang and FD Meulder, “Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity … M. Vikhreva, M. Zaynutdinov, “DeepPavlov: Open-Source Library for Dialogue Systems”, in Proceedings of the 56th Annual Meeting of the Association …

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
… NER plays a critical role in the processing of texts with application to many real-world Natural Language Processing (NLP) tasks such as Ques- tion Answering, Information Extraction, Machine Translation, Dialog Systems, and chatbots, where it is sometimes called Concept …

An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing
H Chen, X Luo – Advanced Engineering Informatics, 2019 – Elsevier
… Along with the rapid development of information and computation technology, NLP has played significant roles in various applications, including conversational agent or dialogue systems [29], machine translation [30], knowledge mining and reasoning [31], search engine [32 …

GlobalTrait: Personality Alignment of Multilingual Word Embeddings
FB Siddique, D Bertero, P Fung – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… Classification is of more importance to us as dialogue systems and other sim- ilar applications require us to classify each person … how people express personality across different cultures and languages, and therefore enable us to train bet- ter language-independent models for …

MaskParse@ Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
G Marzinotto, J Heinecke, G Damnati – arXiv preprint arXiv:1910.02733, 2019 – arxiv.org
… NLU tasks such as Question Answering (Shen and La- pata, 2007), text summarization (Genest and La- palme, 2011), dialog systems (Tur et … introduced an adversarial objective similar to (Kim et al., 2017; Marzinotto et al., 2019) to build a language independent rep- resentation …

Improved Gesture Precision Virtual Personal Assistant (IGP-VPA) System For Speech Impaired People
N Poornima, M Murugan – i-manager’s Journal on Pattern …, 2019 – search.proquest.com
… Many companies have used dialogue systems technology to establish various kinds of Virtual Personal Assistants (VPAs) based on their … Recognition System (Dreuw et al., 2007), that is developed can recognize sentences of continuous sign language independent of the …

Learning to few-shot learn across diverse natural language classification tasks
T Bansal, R Jha, A McCallum – arXiv preprint arXiv:1911.03863, 2019 – arxiv.org
Page 1. Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks Trapit Bansal?† and Rishikesh Jha?‡ and Andrew McCallum† †University of Massachusetts, Amherst ‡Code for Science and Society {tbansal,rishikeshjha,mccallum}@cs.umass.edu …

Text-to-speech synthesis using found data for low-resource languages
EL Cooper – 2019 – academiccommons.columbia.edu
… Text-to-speech synthesis (TTS) is a key component of interactive, speech-based technology such as spoken dialogue systems, virtual personal assistants and speech … able efforts to build language-independent tools to streamline the process of building voices for new …

Multichannel Generative Language Models
H Chan, J Kiros, W Chan – 2019 – openreview.net
Page 1. Under review as a conference paper at ICLR 2020 MULTICHANNEL GENERATIVE LANGUAGE MODELS Anonymous authors Paper under double-blind review ABSTRACT A channel corresponds to a viewpoint or transformation of an underlying mean- ing …

Cross-Lingual Transfer Learning of Non-Native Acoustic Modeling for Pronunciation Error Detection and Diagnosis
R Duan, T Kawahara, M Dantsuji… – IEEE/ACM Transactions …, 2019 – ieeexplore.ieee.org
Page 1. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 28, 2020 391 Cross-Lingual Transfer Learning of Non-Native Acoustic Modeling for Pronunciation Error Detection and Diagnosis …

Computational Sarcasm for Different Languages: A Survey
A Dubey, A Joshi, P Bhattacharyya – cfilt.iitb.ac.in
… They use language independent features: punctuation, recur- ring sequences and semantic imbalance rate … More- over, most of the feature-based approaches are language independent and do not take language specific charac- teristics into account …

Query Translation for Cross-Lingual Search in the Academic Search Engine PubPsych
J van Genabith, V Petras – … Cyprus, October 23-26, 2018, Revised …, 2019 – books.google.com
… parsing the queries and extracting the translatable terms, we mapped them to the lexicon in a language-independent way to … of Combined Workshop on Language-Enabled Educational Technology and Devel- opment and Evaluation of Robust Spoken Dialogue Systems, pp …

Incorporating prosody into neural speech processing pipelines: applications on automatic speech transcription and spoken language machine translation
A Öktem – 2019 – tdx.cat
… required human labour. For example, dialog systems help solve our queries the same way we are used to interact with a person, or machine translation has changed the way we perceive language barriers. Technology like …

An Experimental Review Of A Supervised Method For Word Sense Disambiguation Using DAMIEN 
FN TORRES – Linguistic Perspectives on the Construction of …, 2019 – books.google.com
… Some tasks address by this perspective are the development of dialogue systems, extraction and retrieval of information, machine translation (either … It is composed of a cognitive level that is language independent, and a specific linguistic level for each language (Periñán …

Artificial Companion for Second Language Conversation
S Höhn – 2019 – Springer
… I hope that this book starts a movement bringing together researchers from the two worlds, Dialogue Processing and Conversation Analysis, in order to build better dialogue systems and, finally, better understand ourselves when we are talking. Overview of the book …

Learning from Others’ Experience
S Höhn – Artificial Companion for Second Language …, 2019 – Springer
… There are many successful attempts to integrate CA into Human-Computer Inter- action (HCI) and dialogue modelling to obtain models for human-robot communica- tion and dialogue systems from naturally occurring interaction data and experiments with robots in the wild …

New approach for conversational agent definition by non-programmers: a visual domain-specific language
L Rodríguez-Gil, J García-Zubia, P Orduña… – IEEE …, 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 …

Exploring Different Approaches for Parsing Telugu
BVS Kumari, AG Prasaad, M Susmitha… – … on Advanced Machine …, 2019 – Springer
… Parsing is useful in major NLP applications like Machine Translation, Dialogue Systems, Question Answering etc … 932 (2007a)Google Scholar. Nivre, J., Hall, J., Nilsson, J., Chanev, A., Eryigit, G., Kübler, S., Marinov, S., Marsi, E.: Malt-parser: a language-independent system for …

Contextual language understanding Thoughts on Machine Learning in Natural Language Processing
B Favre – 2019 – hal-amu.archives-ouvertes.fr
… The ELIZA chatbot (Weizenbaum 1976) or contestants to the Loeb- ner Prize competition (Stephens 2004) are dialog systems which rely on conversational tricks in order to evade difficult questions (such as invoking boredom, switching topics, etc.) Machine Translation is …

Survey of Temporal Information Extraction.
CG Lim, YS Jeong, HJ Choi – JIPS, 2019 – jips-k.org
Page 1. J Inf Process Syst, Vol.15, No.4, pp.931-956, August 2019 ISSN 1976-913)( (Print) https://doi.org/103745/JIPS 040129 ISSN 2092-805X (Electronic) ? JOURNAL OF INFORMATION PROCESSING SYSTEMS J Survey …

Long short-term memory with dynamic skip connections
T Gui, Q Zhang, L Zhao, Y Lin, M Peng, J Gong… – Proceedings of the AAAI …, 2019 – aaai.org
Page 1. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Long Short-Term Memory with Dynamic Skip Connections Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang …

Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures
S Hakimov – 2019 – pub.uni-bielefeld.de
… This company provides a platform for developers to build dialog systems that offer various services such as ordering a taxi, paying for a restaurant bill, shopping, booking a flight ticket and many … Such a formalism is language independent and can be adapted to other domains …

Cross-lingual word embeddings
A Søgaard, I Vuli?, S Ruder… – Synthesis Lectures on …, 2019 – 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 …

Learning dense representations for entity retrieval
D Gillick, S Kulkarni, L Lansing, A Presta… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Learning Dense Representations for Entity Retrieval Daniel Gillick? Google Research dgillick@google.com Sayali Kulkarni? Google Research sayali@google. com Larry Lansing? Google Research llansing@google.com …

A bootstrapping approach with CRF and deep learning models for improving the biomedical named entity recognition in multi-domains
J Kim, Y Ko, J Seo – 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 …

Sémantické porozum?ní konverzaci
P Lorenc – 2019 – dspace.cvut.cz
Page 1. Ing. Karel Klouda, Ph.D. Head of Department doc. RNDr. Ing. Marcel Ji?ina, Ph.D. Dean Prague August 20, 2018 ASSIGNMENT OF MASTER’S THESIS Title: Semantic understanding of natural conversation Student: Bc. Petr Lorenc Supervisor: Ing. Jan Šedivý, CSc …

MSc in Computer Science
RB Sulaiman – researchgate.net
Page 1. 1 | Page MSc in Computer Science MSc Project Final Report AI BASED CHATBOT: AN APPROACH OF UTILIZING ON CUSTOMER SERVICE ASSISTANCE By: Rejwan Bin Sulaiman [1436184] rejwan.binsulaiman@study.beds.ac.uk Supervisor: Dr Paul Sant …

Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network
FX Han, D Niu, K Lai, W Guo, Y He, Y Xu – The World Wide Web …, 2019 – dl.acm.org
… Text Summarization Branches Out (2004). [20] Marina Litvak, Mark Last, Hen Aizenman, Inbal Gobits, and Abraham Kandel. 2011. DegExt-A language-independent graph-based keyphrase extractor. In Advances in Intelligent Web Mastering–3. Springer, 121–130 …

A pragmatic guide to geoparsing evaluation
M Gritta, MT Pilehvar, N Collier – Language Resources and Evaluation, 2019 – Springer
Page 1. ORIGINAL PAPER A pragmatic guide to geoparsing evaluation Toponyms, Named Entity Recognition and pragmatics Milan Gritta1 • Mohammad Taher Pilehvar1 • Nigel Collier1 © The Author(s) 2019 Abstract Empirical …

Constructing Uyghur Commonsense Knowledge Base by Knowledge Projection
A Anwar, X Li, Y Yang, Y Wang – Applied Sciences, 2019 – mdpi.com
… [11] built a transfer model using phonetic features instead of lexical features. These features are not strictly language-independent but work well when languages share vocabulary but have spelling variations, as in the case of Turkish, Uzbek, and Uyghur. Mayhew et al …

Effects of inserting domain vocabulary and fine-tuning BERT for German legal language
CM Yeung – 2019 – essay.utwente.nl
Page 1. Effects of Inserting Domain Vocabulary and Fine-tuning BERT for German Legal Language Master’s Thesis Faculty of Electrical Engineering, Mathematics and Computer Science Masters in Interaction Technology Specialization in Intelligent Systems …

The development of an automatic pronunciation assistant
TJ Sefara – 2019 – ulspace.ul.ac.za
… In today’s electronic digital age, the use of TTS synthesis technologies has increased exponentially in mobile smartphones, computers, internet-based services, and dialogue systems. A TTS synthesis system can be embedded in special equipment as a voice …

The Short-term User Modeling for Predictive Applications
M Kompan, O Kassak, M Bielikova – Journal on Data Semantics, 2019 – Springer
… 3.2. Proposed model (Fig. 1) represents a novel way of the user’s behavior description, mainly because it focuses on the behavioral changes more than on preferences (which are typically modeled). In addition, our user model is domain and language independent …

The Information Retrieval Thesaurus
SGD Clarke – KO KNOWLEDGE ORGANIZATION, 2019 – nomos-elibrary.de
… The use of preferred terms rather than language-independent codes or character strings is a key feature distinguishing the thesaurus from the … used too by many of the bibliographic databases that were hosted online by services such as Lockheed’s Dialog system, followed later …

Standardized representations and markup languages for multimodal interaction
R Tumuluri, D Dahl, F Paternò… – The Handbook of …, 2019 – dl.acm.org
… Concrete User Interface (CUI). User interface description in terms of elements that are modality-dependent but implementation language independent … In this case the description is modality-dependent but implementation language independent …

Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory
D Nguyen, N Tran, H Le – arXiv preprint arXiv:1911.01577, 2019 – arxiv.org
… x2 x1 . . . . Extraction Figure 2: Convolutional layers learning [35], healthcare [24, 25], dialog system [23], process analytic [20] and extensively in ques- tion answering [29] and language modeling [16]. Our work (CMAM) is one of the first attempts to utilize MANN for HTR tasks …

Adaptive and Personalized Systems Based on Semantics
P Lops, C Musto, F Narducci, G Semeraro – Semantics in Adaptive and …, 2019 – Springer
In the introduction of this book, we have thoroughly discussed the importance of adaptive and personalized systems in a broad range of applications. In particular, we have motivated the use of…

Bi-Directional Decoder Model with Efficient Fine-Tuning of Embedding for Named Entity Recognition
P Assawinjaipetch, K Shirai, V Sornlertlamvanich… – 2019 – waseda.repo.nii.ac.jp
… in a text. An NER system is often used as a core system in various types of Nat- ural Language Processing (NLP) including question answering, information retrieval, dialogue system, topic modeling, etc. In modern research …

Keyphrase extraction from disaster-related tweets
J Ray Chowdhury, C Caragea, D Caragea – The world wide web …, 2019 – dl.acm.org
Page 1. Keyphrase Extraction from Disaster-related Tweets Jishnu Ray Chowdhury Kansas State University Manhattan, KS jishnurayc@ksu.edu Cornelia Caragea University of Illinois at Chicago Chicago, IL cornelia@uic.edu …

A Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questions
LP Acharya – 2019 – repository.lib.fit.edu
… language question into logical form as probabilistic inference. This approach maps universal syntactic dependency representations to a language-independent logical form based on Dependency-based Underspecified Discourse Representation Structures …

Prosodic patterns in English conversation
NG Ward – 2019 – books.google.com
… He has published widely in human–computer interaction and speech technology as applied to spoken dialog systems, information retrieval, and second language learning. Page 3. Page 4. Prosodic Patterns in English Conversation Nigel G. Ward University of Texas, El Paso …

Automatically responding to customers
R Huijzer – pure.tue.nl
… 7 Page 19. CHAPTER 2. PRELIMINARIES 2.1.3 Natural language understanding Conversational agent or dialogue systems aim to communicate with humans using natural lan- guage. Consensus is not clear on whether a chatbot is synonymous to conversational agent …

Learning natural language interfaces with neural models
L Dong – 2019 – era.ed.ac.uk
Page 1. This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (eg PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work …

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 …

On the Relation between Position Information and Sentence Length in Neural Machine Translation
M Neishi, N Yoshinaga – Proceedings of the 23rd Conference on …, 2019 – aclweb.org
… Sequence to sequence models for neural machine translation (NMT) are now utilized for various text generation tasks including automatic summariza- tion (Chopra et al., 2016; Nallapati et al., 2016; Rush et al., 2015) and dialogue systems (Vinyals and Le, 2015; Shang et al …

Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
D Bertero, O Kampman, P Fung – arXiv preprint arXiv:1901.06486, 2019 – arxiv.org
… stress, is more gender-dependent than language- dependent [10]. It is interesting for us to investigate what features of speech, if any, are language independent. Finding commonality in the speech of different languages has …

Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning
H Peng, Y Ma, S Poria, Y Li, E Cambria – arXiv preprint arXiv:1901.07880, 2019 – arxiv.org
… While most literature addresses the problem in a language-independent approach, Chinese sentiment analysis in fact requires tackling … detection [35], manufacturing and supply chain applications [36], human communication comprehension [37] and dialogue systems [38], etc …

Automated Essay Scoring: Argument Persuasiveness
Z Ke – 2019 – utd-ir.tdl.org
… relevant to or important to mention for a particular prompt. The key advantages of n-grams are that they are language-independent. The downside, however, is that lots of training data are typically needed to learn which word n-grams are useful …

Learning Dense Representations for Entity Retrieval
D Gillick, S Kulkarni, L Lansing, A Presta, J Baldridge… – 2019 – research.google
Page 1. Proceedings of the 23rd Conference on Computational Natural Language Learning, pages 528–537 Hong Kong, China, November 3-4, 2019. c 2019 Association for Computational Linguistics 528 Learning Dense Representations for Entity Retrieval …

Other-Initiated Self-Repair with Linguistic Trouble Source
S Höhn – Artificial Companion for Second Language …, 2019 – Springer
Page 1. 4 Other-Initiated Self-Repair with Linguistic Trouble Source Abstract This chapter focuses on learner-initiated explanations of unclear linguistic material used by the native speaker in chat, that is, repair with linguistic …

Patent retrieval: a literature review
W Shalaby, W Zadrozny – Knowledge and Information Systems, 2019 – Springer
… Metadata-based methods exploit the language-independent non-textual metadata and biblio- graphic information in order to improve patent retrievability. Finally, interactive methods aim to better organize and present search results to the users …

O-ADPI: Online Adaptive Deep-Packet Inspector Using Mahalanobis Distance Map for Web Service Attacks Classification
M Kakavand, A Mustapha, Z Tan, SF Yazdani… – IEEE …, 2019 – ieeexplore.ieee.org
… 456 or [‘987′,’456’]). It may also give an empty result, or error page. B. JSON INJECTION ATTACK JavaScript Object Notation (JSON) is language independent whereby it uses text-based data interchange structure. It is a good …

Internet of Things Anomaly Detection using Multivariate Analysis
S Ezekiel, AA Alshehri, L Pearlstein, XW Wu… – The 3rd ICICPE 2019 … – icicpe.org
… We developed an English conversation system for elementary school students by combining scenario-based dialog system and English grammar correction technology … Dialogue system and speech-to text are the example of tasks focusing on generating sentence …

Learning Feature Representation for Automatic Speech Recognition
P Ghahremani – 2019 – jscholarship.library.jhu.edu
… In Section 5.1, we use conventional MFCC features to train a universal multilingual model and use BNFs that are extracted from this model as an ad- ditional language-independent feature vector to improve the ASR performance for a target in-domain language [?] …

Analyzing Prosody with Legendre Polynomial Coefficients
R Rakov – 2019 – academicworks.cuny.edu
… elements of speech to be considered when building systems that interact with speech in some way, such as in spoken dialogue systems, automatic speech recognition, text-to-speech, or … consumers have increasingly high expectations for spoken dialogue systems …

Research on Word Alignment and Context Modeling for Neural Machine Translation
X Li – 2019 – search.proquest.com
… On the other hand, as a well-defined task in structural prediction, MT prompts the research on related tasks such as parsing (Vinyals et al., 2015; Bauer et al., 2017), dialogue system (Serban et al., 2016) and image captioning (Xu et al., 2015; Fu et al., 2018) …

Non-acted multi-view audio-visual dyadic interactions. Project non-verbal emotion recognition in dyadic scenarios and speaker segmentation
P Lázaro Herrasti – 2019 – diposit.ub.edu
… emotions. Extracted features may either be low-level descriptors or statistics extracted on these descriptors. The main dis- advantage of the linguistic models is that they do not typically provide a language- independent model. Each …

Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019, Proceedings, Part I
L Azzopardi, B Stein, N Fuhr, P Mayr, C Hauff… – 2019 – books.google.com
Page 1. Leif Azzopardi· Benno Stein · Norbert Fuhr· Philipp Mayr· Claudia Hauff· Djoerd Hiemstra (Eds.) Advances in Information Retrieval 41st European Conference on IR Research, ECIR 2019 Cologne, Germany, April 14–18, 2019 Proceedings, Part I 123 Page 2 …

Salient Features for Multilingual Speech Recognition in Indian Scenario
HK Vydana – 2019 – web2py.iiit.ac.in
Page 1. Salient Features for Multilingual Speech Recognition in Indian Scenario Thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electronics and Communications Engineering by Hari Krishna Vydana 201433663 …

Semantic Role Labeling for Indian languages
A Gupta – 2019 – web2py.iiit.ac.in
… a growing amount of attention both by the additions in productivity in investigating the structure of the sentence to expel vagueness and by its potential value in various NLP applications such as semantic role labeling, machine translation, dialogue systems and discourse …

Unlocking Data to Improve Public Policy
B Certified, COS Kernels – Communications of the ACM, 2019 – dl.acm.org
Page 1. Unlocking Data to Improve Public Policy Closing in on Quantum Error Correction Building Certified Concurrent OS Kernels Consumer-Grade Fabrication to Revolutionize Accessibility COMMUNICATIONS OF THEACM CACM.ACM.ORG 10/2019 VOL.62 NO.10 …

Handsketch-based diagram editing
R Zhao – 2019 – books.google.com
Page 1. TEUBNER-TEXTE Zur Informatik Band 5 R. Zhao Handsketch-Based Diagram Editing Page 2. TEUENER-TEXTE ZUr InfOrmatik Herausgegeben von Prof. Dr. Johannes Buchmann, Saarbrücken Prof. Dr. Udo Lipeck, Hannover Prof. Dr. Franz J. Rammig, Paderborn Prof …

Representation Learning for Information Extraction
E Amjadian – 2019 – curve.carleton.ca
… Purely statistical methods are language independent, that is, they can be readily applied to any non-polysynthetic language. In polysynthetic languages, such as Turkish, words … independently. It can be regarded as a step towards a language independent ATE …

The Effective And Ethical Development Of Artificial Intelligence: An Opportunity To Improve Our Wellbeing
T Walsh, N Levy, G Bell, A Elliott, J Maclaurin… – 2019 – researchgate.net
… 90 3.4.2 The psychological impact of AI 91 3.5 Changing social interactions 93 3.5.1 Spoken and text-based dialogue systems 93 3.5.2 Digital-device-distraction syndrome 94 3.5.3 The use of algorithms in the provision of social services 94 3.6 Conclusion 95 …

A Linguistic Analysis Of A Coherence-Based Comprehension Model In Selected English Sonnets (By Shakespeare, Milton And …
RAU AL-JASHAMI, H RZAYEV – tez.sdu.edu.tr
Page 1. TR SÜLEYMAN DEM?REL UNIVERSITY INSTITUTE OF SOCIAL SCIENCES DEPARTMENT OF ENGLISH LANGUAGE AND LITERATURE A LINGUISTIC ANALYSIS OF A COHERENCE-BASED COMPREHENSION …

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
KS Rao, NP Narendra – 2019 – Springer
… from a comparative analysis of contemporary methods of speech parameterization to recent advances in commercial deployment of spoken dialog systems … language specific, and the methods and models used in both front-end and back-end are often language independent …

Memory-augmented neural networks for better discourse understanding
F Liu – 2019 – minerva-access.unimelb.edu.au
… for Computational Linguistics (EACL 2017), pages 1–10, Valencia, Spain. Fei Liu, Julien Perez and Scott Nowson. 2017. A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts. In …

Neural Name Tagging for Low-Resource Languages
B Zhang – 2019 – blender.cs.illinois.edu
… tasks, such as relation extraction and event extraction, and it also plays an important role in industrial applications, such as Question Answering and Dialogue System. State-of-the-art name tagging approaches rely on supervised machine learning mod …

A Comprehensive Study Of Shallow Parsing And Machine Translatin In Malaylam
R Sankaravelayuthan, K Krishnakumar – researchgate.net
Page 1. 1 A COMPREHENSIVE STUDY OF SHALLOW PARSING AND MACHINE TRANSLATION IN MALAYLAM Prof. Rajendran Sankaravelayuthan Amrita Vishwa Vidyapeetham, Coimbatore rajushush@gmail.com Dr. Krishnakumar …

The classification of minor gait alterations using wearable sensors and deep learning
A Turner, S Hayes – IEEE Transactions on Biomedical …, 2019 – ieeexplore.ieee.org
Page 1. 3136 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 66, NO. 11, NOVEMBER 2019 The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning Alexander Turner and Stephen Hayes …

Subsidia: Tools and Resources for Speech Sciences
JME Lahoz-Bengoechea, RE Pérez Ramón – 2019 – riuma.uma.es
Page 1. Page 2. Page 3. SUBSIDIA: Tools and resources for speech sciences José María Lahoz-Bengoechea and Rubén Pérez Ramón (Eds.) Universidad de Málaga Page 4. Page 5. Page 6. Page 7. 1 Copyright: © 2019 Universidad de Málaga …

Visualizing Large Complex Streaming Networks
TE Crnovrsanin – 2019 – search.proquest.com
Page 1. Visualizing Large Complex Streaming Networks By TARIK ESAD CRNOVRSANIN DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Computer Science in the OFFICE OF GRADUATE STUDIES of the …