Word-sense Disambiguation & Dialog Systems 2017


Notes:

  • Sentic computing

Wikipedia:

References:

See also:

Best Word-sense Disambiguation VideosDialog Systems | Sentence Boundary Disambiguation & Dialog SystemsTasks Of Natural Language Processing


Convolutional neural networks for multi-topic dialog state tracking
H Shi, T Ushio, M Endo, K Yamagami… – Dialogues with Social …, 2017 – Springer
… In: Proceedings of the 7th International Workshop on Spoken Dialogue Systems (IWSDS) (2016)Google Scholar. 3. Kim, Y.: Convolutional neural networks for sentence classification … Yarowsky, D.: Unsupervised word sense disambiguation rivaling supervised methods …

Natural Language Understanding (NLU, not NLP) in Cognitive Systems.
M McShane – AI Magazine, 2017 – search.ebscohost.com
… For example, agents in dialogue systems receive one and only one formula- tion of each utterance. Moreover, they must also deal with performance errors such as unfinished thoughts, fragmentary utterances, self-interruptions, repetitions, and non sequiturs …

A roadmap for natural language processing research in information systems
D Liu, Y Li, MA Thomas – … of the 50th …, 2017 – hl-128-171-57-22.library.manoa …
… and application of NLP techniques to solve real-world problems [3], such as creating spoken dialogue systems [4], speech-to … analysis, text generation, sentimental analysis or opinion mining, NL inference (NLI), grammatical text analysis, word sense disambiguation (WSD), and …

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

Natural language processing
K Sirts – 2017 – courses.cs.ut.ee
… Text summarization • Dialog systems 23 Page 24. The general plan … (synonyms, antonyms, hyponyms, meronyms etc) • Word sense disambiguation • serve: help with food or drink; hold an office; put ball into play • dish: plate; a course of a meal; communications device …

MUSE: Modularizing Unsupervised Sense Embeddings
GH Lee, YN Chen – arXiv preprint arXiv:1704.04601, 2017 – arxiv.org
… learning methodologies have dom- inated several research areas in natural language processing (NLP), such as machine translation, language understanding, and dialogue systems … (2014) re- placed the clustering procedure with a word sense disambiguation model using …

Punny Captions: Witty Wordplay in Image Descriptions
A Chandrasekaran, D Parikh, M Bansal – arXiv preprint arXiv:1704.08224, 2017 – arxiv.org
… Tristan Miller. 2016. Adjusting Sense Representations for Word Sense Disambiguation and Automatic Pun Interpretation. Ph.D. thesis, tuprints. Tristan Miller and Iryna Gurevych … 2016. A wizard-of-oz study on a non-task-oriented dialog systems that reacts to user engagement …

CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface
T Boro?, SD Dumitrescu, S Pipa – … of the Software Demonstrations of the …, 2017 – aclweb.org
… A scenario is the equivalent of a frame in frame- based dialogue systems. At any time, the end-user is able to alter Cassandra’s configuration by creat- ing scenarios or editing existing ones … Radu Ion. 2007. Word sense disambiguation methods applied to english and romanian …

Word affect intensities
SM Mohammad – arXiv preprint arXiv:1704.08798, 2017 – arxiv.org
… for issues and policies, tracking pub- lic health and well-being, literary analysis, devel- oping more natural dialogue systems, and disas- ter … BWS has thus far been used for creating datasets for relational similarity (Jurgens et al., 2012), word-sense disambiguation (Jurgens, 2013 …

COMPUTATIONAL LINGUISTICS AND RESEARCHES ABOUT UYGHUR LANGUAGE
M ORHUN – COMPUTATIONAL LINGUISTICS, 2017 – pdfs.semanticscholar.org
… For example, content management of a text, information retrieval, dialog systems, document clustering, text mining, spell checking, speech to text conversion, text to speech … In this system a word- sense disambiguation system is implemented in order to improve translation quality …

Towards an Arabic-English Machine-Translation Based on Semantic Web
NA Dahan, FM Ba-Alwi, IA Al-Baltah… – arXiv preprint arXiv …, 2017 – arxiv.org
… integrated a state-of-the-art Word Sense Disambiguation system into a state-of-the-art hierarchical phrase-based MT, “Hiero” [10] … of the Portuguese-English MT was to provide an efficient way to process the homographs [6]. And where the last dialog systems were depending …

Similar words in Turkic languages
M Orhun – Computer Science and Engineering (UBMK), 2017 …, 2017 – ieeexplore.ieee.org
… Abstract²Detecting and analyzing similar words are an important component of natural language processing tasks such as information retrieval, document clustering, making dialog systems, word sense disambiguation, text summarization and machine translation systems etc …

AppTechMiner: Mining Applications and Techniques from Scientific Articles
M Singh, S Dan, S Agarwal, P Goyal… – Proceedings of the 6th …, 2017 – dl.acm.org
… as accurate by domain experts: Machine Translation, Natural Language Processing, Word Sense Disambiguation, Speech Recognition … Alignment, Conditional Random Fields, Maximum Entropy, Coreference Resolution, Machine Learning, Dialogue Systems, Textual Entailment …

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
M Lapata, P Blunsom, A Koller – Proceedings of the 15th Conference of …, 2017 – aclweb.org
… Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison Alessandro Raganato, Jose Camacho-Collados and Roberto Navigli … A Network-based End-to-End Trainable Task-oriented Dialogue System Tsung-Hsien Wen, David Vandyke, Nikola …

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
G Kondrak, T Watanabe – Proceedings of the Eighth International Joint …, 2017 – aclweb.org
… A Bambara Tonalization System for Word Sense Disambiguation Using Differential Coding, Segmenta- tion and Edit Operation Filtering Luigi (Yu-Cheng) Liu … End-to-End Task-Completion Neural Dialogue Systems Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao and Asli …

Towards an Arabic-English Machine-Translation Based on Semantic Web
FM Ba-Alwi, IA Al-Baltah, GH Al-gapheri – researchgate.net
… there were no implementations for their vision [9]. Chan, et al [10], integrated a state-of-the-art Word Sense Disambiguation system into … the Portuguese-English MT was to provide an efficient way to process the homographs [6]. And where the last dialog systems were depending …

Fast Forward through Opportunistic Incremental Meaning Representation Construction
P Babkin, S Nirenburg – Proceedings of ACL 2017, Student Research …, 2017 – aclweb.org
… McShane and Nirenburg (2016) for an in-depth overview), their application is deferred until the scoring stage as word sense disambiguation is pursued jointly … In- cremental Construction of Robust but Deep Seman- tic Representations for Use in Responsive Dialogue Systems …

Natural Language Processing, Moving from Rules to Data
AH Dediu, JM Matos, C Martín-Vide – International Conference on Theory …, 2017 – Springer
… 4 Word Senses. Word sense disambiguation (WSD) is the capability to assign each occurrence of a word to one or more classes of meaning (sense(s)) based on the evidence from the context and from external knowledge sources, as Navigli [63] specifies in his survey …

Hindi language text search: a literature review
P Singh, A Tripathi – Annals of Library and Information Studies …, 2017 – op.niscair.res.in
… The other major issue with the Hindi language search engine is word sense disambiguation … C-DAC Kolkata developed a project named speech-to-speech MAT (Machine Aided Translation) based dialogue system from Hindi to Indian languages [Hindi-Bangla, Hindi-Punjabi …

UB at the NTCIR-13 STC-2 Task: Exploring Syntactic Similarities and Sentiments
J Wang – research.nii.ac.jp
… achieved with task-oriented dialogue systems in constrained domains, there remain ma- jor problems with open domain dialogue systems, largely because … an adjective in the sense of “energetic.” Since our techniques did not apply any sort of word sense disambiguation or part …

19 Speech Synthesis: State of the Art and Challenges for the Future
K Georgila – Social Signal Processing, 2017 – books.google.com
… as an aid to people with disabilities (see Challenges for the Future), for generating the output of spoken dialogue systems (Lemon et al … the pre-processing module first has to perform part-of-speech tagging (Toutanova et al., 2003) and word sense disambiguation (Navigli, 2009) …

Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis
SS Mukku, SR Oota, R Mamidi – … Conference on Big Data Analytics and …, 2017 – Springer
… There are many popular approaches like named entity recognition (NER), word sense disambiguation, part-of-speech tagging developed for resource poor languages … [13] developed a dialogue system for Telugu, a resource-poor language …

Distinguishing between facts and opinions for sentiment analysis: Survey and challenges
I Chaturvedi, E Cambria, RE Welsch, F Herrera – Information Fusion, 2017 – Elsevier
… existing n-gram methods that rely on syntactical representation of text such as part-of-speech (POS) tagging or word-sense disambiguation … and political [30] forecasting, e-health [31] and e-tourism [32], human communication comprehension [33] and dialogue systems [34], etc …

Multi-level mining and visualization of scientific text collections: Exploring a bi-lingual scientific repository
P Accuosto, F Ronzano, D Ferrés… – Proceedings of the 6th …, 2017 – dl.acm.org
… available word sense disambiguation word sense wordnet semantic senses wsd disambiguation knowledge method words dialogue systems user dialogue system information models model items speech goals interaction web …

Natural Language Processing: State of The Art, Current Trends and Challenges
D Khurana, A Koli, K Khatter, S Singh – arXiv preprint arXiv:1708.05148, 2017 – arxiv.org
… Compound or Statistical Phrases (Compounds and statistical phrases index multi token units instead of single tokens.) Word Sense Disambiguation (Word sense disambiguation is the task of understanding the correct sense of a word in context … 2015 [72]) 6.6 Dialogue System …

Talking Open Data
S Neumaier, V Savenkov, S Vakulenko – European Semantic Web …, 2017 – Springer
… We envision our prototype to be the first step towards an intelligent dialogue system supporting contextual multilingual semantic search [1 … 88–91 (2015)Google Scholar. 3. Moro, A., Raganato, A., Navigli, R.: Entity linking meets word sense disambiguation: a unified approach …

Multi-sense based neural machine translation
Z Yang, W Chen, F Wang, B Xu – Neural Networks (IJCNN) …, 2017 – ieeexplore.ieee.org
Page 1. Multi-Sense Based Neural Machine Translation Zhen Yang, Wei Chen[1] , Feng Wang, Bo Xu Institute of Automation, Chinese Academy of Sciences No.95 Zhongguancun East Road {yangzhen2014, wei.chen.media, feng.wang, xubo}@ia.ac.cn …

Multi-level mining and visualization of scientific text collections
P Accuosto, F Ronzano, D Ferrés, H Saggion – 2017 – repositori.upf.edu
… available word sense disambiguation word sense wordnet semantic senses wsd disambiguation knowledge method words dialogue systems user dialogue system information models model items speech goals interaction web …

What no robot has seen before—Probabilistic interpretation of natural-language object descriptions
D Nyga, M Picklum, M Beetz – Robotics and Automation (ICRA) …, 2017 – ieeexplore.ieee.org
… in online sources like Wikipedia or ask a human instructor for a definition by means of a dialog system similarly to … NL sentences and ontological knowledge from WordNet serve as evidence E1 in our reasoning system, which performs word sense disambiguation and extraction …

Shallow PARsing and Knowledge extraction for Language Engineering
I Annex – cogsci.ed.ac.uk
… keyword indexing, robust phrasal parsing is an essential prerequisite to more focussed and lin- guistically motivated word sense disambiguation techniques, and … Speech dialogue systems will soon be in the position of providing services such as data base access via telephone …

Emotion Recognition by Combining Prosody and Sentiment Analysis for Expressing Reactive Emotion by Humanoid Robot
Y Li, CT Ishi, N Ward, K Inoue… – … of APSIPA Annual …, 2017 – sap.ist.i.kyoto-u.ac.jp
… Backchannel generation has been applied in some dialog systems, producing effective attentive listening behavior [8, 9]. However, it is not … This function does sentiment analysis on Japanese text using word sense disambiguation based on a Japanese WordNet and an English …

Cross-lingual induction and transfer of verb classes based on word vector space specialisation
I Vuli?, N Mrkši?, A Korhonen – arXiv preprint arXiv:1707.06945, 2017 – arxiv.org
… Nikola Mrkšic2 and Anna Korhonen1 1 Language Technology Lab, University of Cambridge, UK 2 Dialogue Systems Group, University of … and Stevenson, 2004; Giuglea and Moschitti, 2006), se- mantic parsing (Shi and Mihalcea, 2005), word sense disambiguation (Brown et al …

Analysis of the Effect of Dependency Information on Predicate-Argument Structure Analysis and Zero Anaphora Resolution
K Yoshino, S Mori, S Nakamura – arXiv preprint arXiv:1705.10962, 2017 – arxiv.org
… This information is similar to the results of the word sense disambigua- tion. An example is shown in Figure 4. If the word sense disambiguation worked perfectly, the system knows that the ga and the wo la- bel is essential for the predicate “fulfill”, and …

Spatio?temporal pseudo relevance feedback for scientific data retrieval
S Takeuchi, K Sugiura, Y Akahoshi… – IEEJ Transactions on …, 2017 – Wiley Online Library
… There are several well-known techniques for improving the accuracy of the search results, such as interactive query refinement [16], information filtering [17], word sense disambiguation [18], and search results clustering [19] …

A Study on Natural Language Processing for Human Computer Interaction
N MPSTME – ijarcet.org
… of the basic hurdle for many Natural Language Processing (NLP) applications, such as sentence retrieval, word sense disambiguation, question answering … systems 2) Frame based systems 3) Agent based systems [31] 4) Answering systems 5) Semi-dialogue systems 6) Full …

Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
AS White, P Rastogi, K Duh, B Van Durme – Proceedings of the Eighth …, 2017 – aclweb.org
Page 1. Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 996–1005, Taipei, Taiwan, November 27 – December 1, 2017 cO2017 AFNLP Inference is Everything: Recasting Semantic …

Cassandra smart-home system description
SD Dumitrescu – Speech Technology and Human-Computer …, 2017 – ieeexplore.ieee.org
… A scenario is the equivalent of a frame in frame-based dialogue system … Association for Computational Linguistics, 2009, pp. 308–316. [12] R. Ion, “Word sense disambiguation methods applied to english and romanian,” PhD thesis. Romanian Academy, Bucharest, 2007 …

Natural Logic Inference for Emotion Detection
H Ren, Y Ren, X Li, W Feng, M Liu – Chinese Computational Linguistics …, 2017 – Springer
… research topics in natural language processing, emotion detection is widely used in opinion mining, product recommendation, dialog system, and so on … and adjectives appeared in T are handled with NLTK 4 , a natural language toolkit, for word sense disambiguation; then, find …

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
M Palmer, R Hwa, S Riedel – Proceedings of the 2017 Conference on …, 2017 – aclweb.org
… 68 Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data Tommaso Pasini and Roberto Navigli . . . . . 78 …

Automatic chinese factual question generation
M Liu, V Rus, L Liu – IEEE Transactions on Learning …, 2017 – ieeexplore.ieee.org
… Question authoring tools are important in educational technologies, eg, intelligent tutoring systems, as well as in dialogue systems … recently, LTP [28], developed by Harbin Institute of Technology, added a semantic parsing module (word sense disambiguation, semantic role …

Getting reliable annotations for sarcasm in online dialogues
R Swanson, S Lukin, L Eisenberg, TC Corcoran… – arXiv preprint arXiv …, 2017 – arxiv.org
… Chase Corcoran and Marilyn A. Walker University of California Santa Cruz Natural Language and Dialogue Systems Lab Computer … NLP tasks: affect recognition, word similarity, recognizing textual entailment, event temporal ordering, and word sense disambiguation (Snow et …

A Complete Bibliography of ACM Transactions on Asian Language Information Processing
NHF Beebe – 2017 – tug.ctan.org
… Kim:2003:RRE [37] Harksoo Kim and Jungyun Seo. Resolution of referring expressions in a Korean multimodal dialogue system. ACM Transactions on Asian Lan- guage Information Processing, 2(4):324–337, December 2003. CODEN …

Chatbots for troubleshooting: A survey
C Thorne – Language and Linguistics Compass, 2017 – Wiley Online Library
… Last, but not least, to support NLU and NLG, text-based dialog systems and chatbots alike tend to leverage NLP … Semantic processing (word sense disambiguation, named entity recognition, anaphora resolution, relation extraction, etc.) to further analyze user input and build and …

Expanding Common Sense Knowledge Database using Data Mining on Reference Corpus
M Krawczyk – 2017 – eprints.lib.hokudai.ac.jp
… It is already utilized for many applications such as topic-gisting [3], affect- sensing [4], dialog systems [5], daily activities recognition [6], social media analysis [7] and handwrit … alternative question answering system [27], word sense disambiguation [28], semantic web [29] [30] …

Cross-language transfer of semantic annotation via targeted crowdsourcing: task design and evaluation
EA Stepanov, SA Chowdhury, AO Bayer… – Language Resources …, 2017 – Springer
… Researchers and designers of spoken dialog systems have proposed semantic grammars to address the spoken language understanding (SLU) problem … 2002), temporal annotation (Spreyer and Frank 2008), word sense disambiguation (Bentivogli et al …

Emotion Recognition: A Literature Survey
S Goyal, N Tiwari – International Journal For Technological Research In … – ijtre.com
… Applications: automatic answering systems, dialogue systems, and human like robots. Multi- Language Text … trained CRF classifier on sequential sentiments. 2006 [ Wiebe and Mihalcea ] find relations between word sense disambiguation and subjectivity. 2006 [ Wu et al …

Machine Translation Using Semantic Web Technologies: A Survey
D Moussallem, M Wauer, ACN Ngomo – arXiv preprint arXiv:1711.09476, 2017 – arxiv.org
… In particular, this study is based on the guidelines proposed in [18–20]. As de- tailed below, we also took into account other surveys from rel- evant journals as well as surveys about related topics such as Word Sense Disambiguation (WSD) and Semantic Web (SW). 2.1 …

Annotating and modeling empathy in spoken conversations
F Alam, M Danieli, G Riccardi – Computer Speech & Language, 2017 – Elsevier
Empathy, as defined in behavioral sciences, expresses the ability of human beings to recognize, understand and react to emotions, attitudes and beliefs of other.

Towards Natural Language Understanding using Multimodal Deep Learning
S Bos – pdfs.semanticscholar.org
Page 1. Towards Natural Language Understanding using Multimodal Deep Learning Steven Bos Delft Un iversity of T echnolog y Page 2. Page 3. Towards Natural Language Understanding using Multimodal Deep Learning THESIS …

Deep Memory Networks for Natural Conversations
??? – 2017 – s-space.snu.ac.kr

Refining Word Embeddings Using Intensity Scores for Sentiment Analysis
LC Yu, J Wang, KR Lai, X Zhang – researchgate.net
… embeddings have been successfully used for various tasks such as named entity recognition [18], word sense disambiguation [19], dependency … both antonymy and synonymy relations into vector representations to improve the capability of dialog systems for distinguishing …

College of Natural Sciences
DT Habte – 2017 – etd.aau.edu.et
Page 1. Dialogue System for Advising Ethiopian Public Universities Students Addis Ababa University College of Natural Sciences … The main objective of this research is to design a model of academic advising dialogue system for Ethiopian public universities …

Sabbiu Shah (070/BCT/531) Sagar Adhikari (070/BCT/533) Samip Subedi (070/BCT/536)
U Chalise – 2017 – researchgate.net
… Chatterbots are typically used in dialog systems for various practical purposes including customer service or information acquisition … Word sense disambiguation Many words have more than one meaning; we have to select the meaning which makes the most sense in context …

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

Automatic Text Simplification
H Saggion – Synthesis Lectures on Human Language …, 2017 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …

SingularityNET: A decentralized, open market and inter-network for AIs
B Goertzel, S Giacomelli, D Hanson, C Pennachin… – 2017 – icotokn.com
… An Agent Y might then pay an Agent W to do some specialized natural language processing tasks on Alice’s text (such as entity extraction or word sense disambiguation), essentially enlisting Agent W as a subcontractor to fulfill part of Alice’s request …

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

Helping users learn about social processes while learning from users: developing a positive feedback in social computing
VSS Pillutla – 2017 – search.proquest.com
… Goals may include word-sense disambiguation. [109], or text summarization [106] … infection in which the mucous membrane of the nose and throat become inflamed. Semantics, and particularly word-sense disambiguation, are an important problem in the natural …

Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing
B Cabaleiro Barciela – 2017 – e-spacio.uned.es
Page 1. Thesis for the Degree of Doctor of Philosophy 2017 Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing Bernardo Cabaleiro Barciela University Master’s Degree in Languages and Computer Systems (National Distance Education …

Computational models for semantic textual similarity
A González Aguirre – 2017 – addi.ehu.es
… NLP). It has many practical applications in other NLP tasks such as Word Sense Disambiguation, Textual Entailment, Paraphrase detection, Machine Translation, Summarization, Information Retrieval or Question Answering …

Theory and Applications of Models of Computation
TV Gopal, G Jäger, S Steila – 2017 – Springer
Page 1. TV Gopal Gerhard Jäger Silvia Steila (Eds.) 123 LNCS 10185 14th Annual Conference, TAMC 2017 Bern, Switzerland, April 20–22, 2017 Proceedings Theory and Applications of Models of Computation Page 2. Lecture Notes in Computer Science 10185 …

Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari – 2017 – era.library.ualberta.ca
Page 1. Towards the Implementation of an Intelligent Software Agent for the Elderly by Amir Hossein Faghih Dinevari A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Department of Computing Science University of Alberta …

Towards efficient Neural Machine Translation for Indian Languages
R Agrawal – 2017 – pdfs.semanticscholar.org
… The end-to-end nature of the training phase is also very conducive when dealing with sequences of unknown lengths beforehand, thereby making neural models an appropriate choice for other tasks like chatbots, speech recognition, dialogue systems, time series, question …

Painting Pictures with Words-From Theory to System
R Coyne – 2017 – search.proquest.com
… PAR allows instructions such as if you agree to go for a walk with someone, then follow them to be given and then triggered in the future. Ulysse [Godreaux et al., 1999] is an interactive spoken dialog system used to navigate in virtual worlds …

College of Natural Science
A Gebremariam – 2017 – etd.aau.edu.et
… human about arbitrary topics and the goal of research in NLP and in natural language understanding, and in dialogue system in particular is to break down the barrier [4]. Many researches been conducted on topics related to the application of natural language processing …

Linguistic Knowledge Transfer for Enriching Vector Representations
JK Kim – 2017 – rave.ohiolink.edu
Page 1. Linguistic Knowledge Transfer for Enriching Vector Representations DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Joo-Kyung Kim, BE, MS …

A New Classification Framework to Evaluate the Entity Profiling on the Web: Past, Present and Future
AA Barforoush, H Shirazi, H Emami – ACM Computing Surveys (CSUR), 2017 – dl.acm.org
Page 1. 39 A New Classification Framework to Evaluate the Entity Profiling on the Web: Past, Present and Future AHMAD ABDOLLAHZADEH BARFOROUSH, HOSSEIN SHIRAZI, and HOJJAT EMAMI, Malek Ashtar University of Technology …

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