Summarizers & Dialog Systems


Notes:

Open Text Summarizer outperformed Subject Search Summarizer, Copernic Summarizer and Essence.

  • SummariSer
  • Summarization engine (SummariSation engine)

Resources:

Wikipedia:

References:

See also:

Copernic SummarizerGistSumm (GIST SUMMarizer) | Open Text SummarizerSummarization SystemsTXTRACTOR


Automatic human utility evaluation of ASR systems: Does WER really predict performance?
B Favre, K Cheung, S Kazemian, A Lee, Y Liu… – …, 2013 – isca-speech.org
… w/o task, WER variants w/o task w/o task, decisions w/o summarizers w/o … The summarizer features, which capture whether a dialog act is im- portant for the meeting in general … Sanders and Le [14] studied the effects of speech recognition accuracy on dialog systems, and found a …

Generating recommendation dialogs by extracting information from user reviews
K Reschke, A Vogel, D Jurafsky – … of the 51st Annual Meeting of the …, 2013 – aclweb.org
… Our approach thus offers a new way to integrate the advantages of the curated hand-build attributes used in statisti- cal slot and filler dialog systems, and the distribu- tionally induced, highly relevant categories built by … Building a sentiment summarizer for local service reviews …

Using Summarization to Discover Argument Facets in Online Ideological Dialog
A Misra, P Anand, JEF Tree, M Walker – arXiv preprint arXiv:1709.00662, 2017 – arxiv.org
… Using Summarization to Discover Argument Facets in Online Idealogical Dialog Amita Misra, Pranav Anand, Jean Fox Tree, and Marilyn Walker UC Santa Cruz Natural Language and Dialogue Systems Lab 1156 N. High … Page 5. SCU Label Used by summarizer? Tier 1 2 3 4 5 …

ASR error segment localization for spoken recovery strategy
F Béchet, B Favre – Acoustics, Speech and Signal Processing …, 2013 – ieeexplore.ieee.org
… However, most de- ployed dialog systems rely on domain specificity to constrain the concepts which can be corrected, an hypothesis that must be removed given the wide range of domains … fusion, the merging of two or more sentences to obtain a shorter version in summarizers …

Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A Koller, G Skantze, F Jurcicek, M Araki… – Proceedings of the 16th …, 2015 – aclweb.org
… ExB Text Summarizer Stefan Thomas, Christian Beutenmüller, Xose de la Puente, Robert Remus and Ste- fan Bordag … The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi- Turn Dialogue Systems Ryan Lowe, Nissan Pow, Iulian Serban and Joelle …

Novel Methods for Natural Language Generation in Spoken Dialogue Systems
O Dušek – 2017 – dspace.cuni.cz
… Ond?ej Dušek Novel Methods for Natural Language Generation in Spoken Dialogue Systems Institute of Formal and Applied Linguistics Supervisor: Ing … iii Page 4. Page 5. Title: Novel Methods for Natural Language Generation in Spoken Dialogue Systems Author: Ond?ej Dušek …

Unnecessary utterance detection for avoiding digressions in discussion
R Yoshida, T Hiraoka, G Neubig, S Sakti… – … Annual Summit and …, 2014 – ieeexplore.ieee.org
… If, for example, a dialogue system could help us avoid digressions and keep the conversation on track, the discussion could proceed more efficiently … Considering the definition of the summarizer as “a system whose goal is to produce a condensed representation of its input for …

Sentiment and behaviour annotation in a corpus of dialogue summaries
NT Roman, P Piwek, AMBR Carvalho… – Journal of Universal …, 2015 – jucs.org
… involved. With current initia- tives ranging from a single summariser (eg [Hasler, 2007]) to as many as 202 (eg [Teufel and Moens, 1997]), this corpus, with its set of 30 summarisers, does not seem off the scale. Finally, questions …

Speech User Interface for Visually Impaired to Access the Synoptic Form of Web Data
R Sheik, A Chitra – pdfs.semanticscholar.org
… Thus, a voice-driven text-to-speech dialog system is presented … D. Summarization The efficiency of the retrieval mechanism from the web, can be improved by summarizing the contents obtained by means of an intelligent summarizer called ISummarizer in Classifier4J library …

Measuring the similarity of sentential arguments in dialog
A Misra, B Ecker, MA Walker – arXiv preprint arXiv:1709.01887, 2017 – arxiv.org
… Amita Misra, Brian Ecker, and Marilyn A. Walker University of California Santa Cruz Natural Language and Dialog Systems Lab 1156 N. High … In this case, facet identification is done by the human summarizers, and collections of similar labels represent an argument facet …

Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
H Kumar, A Agarwal, R Dasgupta, S Joshi… – arXiv preprint arXiv …, 2017 – arxiv.org
… 2014) is in building a natural language dialogue system, where knowing the DAs of the past utterances helps in the prediction of the DA … Another application of DA identification is in building a conversation summarizer where DAs can be used to generate a summary of a conver …

Summarizing opinion-related Information for mobile devices
G Di Fabbrizio, AJ Stent, R Gaizauskas – Mobile Speech and Advanced …, 2013 – Springer
… their aspects, and opinion strengths and polarities, automatic extractive summarizers produce incoherent … adapted from the general-purpose MEAD open-source text summarizer (Radev et al … mobile applications for local business search, there were dialog systems (eg, Johnston …

Capturing learner’s activity events from a mobile learning system using adaptive event framework
J Mutahi, O Bent, A Kinai… – … ), 2015 2nd ACM …, 2015 – ieeexplore.ieee.org
… Interactive context dialog systems in a learning environ- ment allow learners to share their contextual situations and sentiment, experiences and … Given a dynamic segment, with X number of event logs, the event summarizer may apply summarization to meet compaction needs …

Overview of Phoneme-based Video Indexing for Audio Transcript Reconstruction
C Leon-Barth, M Elvir, RF DeMara, A Gonzalez – cal.ucf.edu
… Centralized Memory Contextualization In this paper, we address the tasks of storage and retrieval of conversational memory for a spoken dialog system … Interestingly, for every phoneme-word extracted by the summarizer there is at least a one to one correspondence, however it …

Controlling output length in neural encoder-decoders
Y Kikuchi, G Neubig, R Sasano, H Takamura… – arXiv preprint arXiv …, 2016 – arxiv.org
… The average number of words of human summaries in the evaluation set is 10.43. a given source sentence, the summarizer generates a shortened version of the input (ie N > M), as summary sentence y = (y1,y2,y3, …, yM ) …

Resolving Coreferent and Associative Noun Phrases in Scientific Text
I Rosiger, S Teufel – 2014 – dtic.mil
… The computational linguistics (CL) papers cover various topics ranging from dialogue systems to machine translation; the genetics (GEN) papers deal mostly with the topic of short interfering RNAs, but focus on different aspects of it …

The role of animated agents in web-based distance education
E Ergül, M Koç – Procedia-Social and Behavioral Sciences, 2013 – Elsevier
… Educational interface agents generally serve as page summarizers that help make courses less boring. Sabot et al … Granström, B., & House, D. (2005). Effective interaction with talking animated agents in dialogue systems. JCJ van Kuppevelt et al …

Summarizing Dialogic Arguments from Social Media
A Misra, S Oraby, S Tandon, P Anand… – arXiv preprint arXiv …, 2017 – arxiv.org
… Misra, Shereen Oraby, Shubhangi Tandon, Sharath TS, Pranav Anand and Marilyn Walker UC Santa Cruz Natural Language and Dialogue Systems Lab 1156 N … The LexRank summarizer performs best across all topics, but overall the results show that summarizers aimed at …

1 Adaptability: Trainable end-to-end Natural Language Generation systems
I Konstas – ikonstas.net
… complex inputs, such as source code and meaning rep- resentations; we have built the first code-to-language summarizer [2], trained on a … Existing dialogue systems currently fall under two extremes: (a) they are either confined to very small domains, eg, booking hotels or giving …

Towards a Cognitive Natural Language Processing Perspective
B Sharp – Language Production, Cognition, and the Lexicon, 2015 – Springer
… approach to build a natural language understanding system in their attempt at addressing the problem that most dialogue systems suffer from … BMT (Summarize It in Bone Marrow Transplantation) system which was based on the strategies employed by six human summarisers …

Big data driven natural language processing research and applications
VN Gudivada, D Rao, VV Raghavan – Handbook of Statistics, 2015 – Elsevier
… These results are used in other tasks such as co-reference resolution, word-sense disambiguation, semantic parsing, question answering, dialog systems, textual entailment, information extraction, information retrieval, and text summarization …

Introduction
P Spyns – Essential Speech and Language Technology for Dutch, 2013 – Springer
… In addition, three specific corpus exploitation tools were implemented as well as a multi-document summariser for Dutch. 16. PACO-MT (Parse and Corpus based Machine Translation – cf … 3. “CommuneConnect!” (“GemeenteConnect”) is a phone dialogue system that allows for …

Essential Speech and Language Technology for Dutch: Results by the STEVIN-programme
L van den Bosch – 2013 – books.google.com
… III) 1. Information extraction from audio transcripts created by speech recognisers 2. Speaker accent and identity detection 3. Dialogue systems and Q&A … In addition, three specific corpus exploitation tools were implemented as well as a multi-document summariser for Dutch …

End-to-End Information Extraction without Token-Level Supervision
RB Palm, D Hovy, F Laws, O Winther – arXiv preprint arXiv:1707.04913, 2017 – arxiv.org
… The summarizer LSTM reads the entire encoded input. The last hidden state of the summarizer LSTM is then concate- nated to each input to the decoder. 3.4 Results Data set Baseline Ours p … 2013. Asgard: A portable architecture for multilingual dialogue systems …

Text summarization and speech synthesis for the automated generation of personalized audio presentations
S Lawless, P Lavin, M Bayomi, JP Cabral… – … on Applications of …, 2015 – Springer
… increased expressiveness of synthetic speech that is beyond what can be currently produced [12], eg audiobooks, spoken dialogue systems, etc … The Multilingual Summarizer component automatically generates summaries for each content slice in the source language of the text …

Biomedical text mining: state-of-the-art, open problems and future challenges
A Holzinger, J Schantl, M Schroettner, C Seifert… – … discovery and data …, 2014 – Springer
… da Cunha, I., Fernández, S., Velázquez Morales, P., Vivaldi, J., SanJuan, E., Torres-Moreno, J.-M.: A new hybrid summarizer based on vector space model … Yeh, JF, Wu, CH, Chen, MJ: Ontology-based speech act identification in a bilingual dialog system using partial pattern trees …

Summarizing Meeting Transcripts Based on Functional Segmentation
MH Bokaei, H Sameti, Y Liu – IEEE/ACM Transactions on Audio …, 2016 – ieeexplore.ieee.org
… Note that we use a common preprocessing step for both summarizers where we eliminate all the sentences by participants that are not in the main ac- tive speaker set of … The corresponding keywords for each monologue segment are used in the ILP summarizer described above …

Artificial speech and its authors
PJ Nickel – Minds and Machines, 2013 – Springer
… Machine translators and summarizers … For example, the company deploying a dialogue system that sells airplane tickets might claim, on a day when the system did not take recent price hikes into account, that the agreements it reached were not binding because they did reflect …

Overview of NTCIR-12.
K Kishida, MP Kato – NTCIR, 2016 – research.nii.ac.jp
… Our approach is based on the com-bination of tools developed in our research group: IR-n, apassage retrieval system; COMPENDIUM, a summarizationgenerator; and a new approach based on Principal Compo-nent Analysis, another type of summarizer.In our rst participation …

A reinforcement learning formulation to the complex question answering problem
Y Chali, SA Hasan, M Mojahid – Information Processing & Management, 2015 – Elsevier
… A fast query-based multi-document summarizer called FastSum used SVM regression 17 to rank the summary sentences where the goal was to estimate the score of a sentence based on a given feature set (Schilder & Kondadadi, 2008) …

AppTechMiner: Mining Applications and Techniques from Scientific Articles
S Agarwal, M Singh, S Dan, P Goyal… – arXiv preprint arXiv …, 2017 – arxiv.org
… nition, Word Alignment, Conditional Random Fields, Maximum Entropy, Coreference Resolution, Machine Learning, Dialogue Systems, Textual Entailment … tion Topic Signatures, Information Extraction, Page Rank, Klsum Summarization System, Mead Summarizer, Word Sense …

Automatic generation of multiple choice questions using dependency-based semantic relations
N Afzal, R Mitkov – Soft Computing, 2014 – Springer
… to be employed in various areas such as intelligent tutoring systems, dialogue systems (Walker et al … by Farzindar and Lapalme (2004) for the evaluation of LetSum (an automatic legal text summariser) … 1–3):43–69Google Scholar. Das R, Elikkottil A (2010) Auto-summarizer to aid …

Theory and Applications of Natural Language Processing
G Hirst, E Hovy, M Johnson – 2013 – Springer
… III) 1. Information extraction from audio transcripts created by speech recognisers 2. Speaker accent and identity detection 3. Dialogue systems and Q&A … In addition, three specific corpus exploitation tools were implemented as well as a multi-document summariser for Dutch. 16 …

Information Retrieval by Linkage Discovery
RS Segall, S Lu – … of Information Science and Technology, Third …, 2015 – igi-global.com
… of Columbia multi-document summarization that covers the different component summarizers that handle different document types, the router that decides which summarizer to use … and applications in areas such as text mining, web page retrieval and dialogue systems …

Sentiment analysis for small and big data
M Thelwall – The SAGE handbook of online research methods, 2016 – books.google.com
Page 373. 20 Sentiment Analysis for Small and Big Data inTroduCTion There are now effective methods to automati- cally detect sentiment in text and these are capable of human-like levels of performance in some contexts …

Harnessing cognitive features for sarcasm detection
A Mishra, D Kanojia, S Nagar, K Dey… – arXiv preprint arXiv …, 2017 – arxiv.org
… 1The Free Dictionary Sarcasm detection plays an indispensable role in applications like online review summarizers, di- alog systems, recommendation systems and senti- ment analyzers. This makes automatic detection of sarcasm an important problem …

Coreference applications to summarization
J Steinberger, M Kabadjov, M Poesio – Anaphora Resolution, 2016 – Springer
… The idea is illustrated in Table 1, where the summarizer’s input matrix contains two types of terms: terms in the lexical sense (ie … an enriched vector-space representation entailing not only lexical, but also anaphoric information, which can then be used as input to summarizers …

PersoNER: Persian named-entity recognition
H Poostchi, E Zare Borzeshi, M Abdous… – International …, 2016 – opus.lib.uts.edu.au
… Applications Tim Baldwin Maria Liakata Dialog Processing and Dialog Systems, Multimodal Interfaces Nina Dethlefs Simon Keizer Giuseppe Riccardi Speech Recognition, Text-To-Speech, Spoken Language Understanding Florian Metze Chung-Hsien Wu …

Abstractive Document Summarization via Neural Model with Joint Attention
L Hou, P Hu, C Bei – National CCF Conference on Natural Language …, 2017 – Springer
… encoder-decoder framework is the fundamental for many current NLP models and is widely used in machine translation, dialog systems and automatic … We study the difficulty of the existing attention RNN encoder-decoder summarizers, and address the need of producing rare or …

Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Y Matsumoto, R Prasad – Proceedings of COLING 2016, the 26th …, 2016 – aclweb.org
… Applications Tim Baldwin Maria Liakata Dialog Processing and Dialog Systems, Multimodal Interfaces Nina Dethlefs Simon Keizer Giuseppe Riccardi Speech Recognition, Text-To-Speech, Spoken Language Understanding Florian Metze Chung-Hsien Wu …

A Formal Definition of Importance for Summarization
M Peyrard – arXiv preprint arXiv:1801.08991, 2018 – arxiv.org
… A summarizer aims at extracting high-scoring summaries: S? = argmaxIK(S, T). Therefore, useful metrics should exhibit high NDCG scores … Moreover, the data might be biased because summarizers have difficulties to address redundancy during the se- lection procedure …

Which techniques does your application use?: An information extraction framework for scientific articles
S Dan, S Agarwal, M Singh, P Goyal… – arXiv preprint arXiv …, 2016 – arxiv.org
… dependency parsing, information extraction, chinese word segmentation, semantic role labeling, in- formation retrieval, entity recognition, word alignment, conditional random fields, maximum entropy, corefer- ence resolution, machine learning, dialogue systems, tex- tual …

Constructing Sentences from Text Fragments: Aggregation in Text-to-text Generation
V Chenal – 2017 – digitool.library.mcgill.ca
… Page 15. CHAPTER 2. NATURAL LANGUAGE GENERATION 9 text-to-text application, abstractive summarizers that generate sentences not present in the source text rely heavily on data-to-text generation techniques (eg Genest and Lapalme 2012) …

Towards a narrative based user-centered design of an immersive news environment
EO den Buysch, F Nack, B Brouwers – researchgate.net
Page 1. Towards a narrative based user-centered design of an immersive news environment Eefje Op den Buysch Student number 10642552 Final version: 01.07.2016 Dr. F. Nack (supervisor) Prof. drs. B. Brouwers (second reader) …

SingularityNET: A decentralized, open market and inter-network for AIs
B Goertzel, S Giacomelli, D Hanson, C Pennachin… – 2017 – icotokn.com
Page 1. SingularityNET: A decentralized, open market and inter-network for AIs Ben Goertzel, Simone Giacomelli, David Hanson, Cassio Pennachin, Marco Argentieri and the SingularityNET team November 1, 2017 Abstract …

Algorithm for Analysis and Translation of Sentence Phrases
R Lacko – is.muni.cz
… whether they are univer- sal or designed for a specific task (such as dialogue systems) … important information from the original document as possible [5]. Some automatic summarizers can be … SMMRY (pronounced SMUR-EE) is an online summarizer based on extraction of the …

Algoritmus pro analýzu a p?eklad v?tných frází
R Lacko – 2014 – is.muni.cz
… whether they are univer- sal or designed for a specific task (such as dialogue systems) … important information from the original document as possible [5]. Some automatic summarizers can be … SMMRY (pronounced SMUR-EE) is an online summarizer based on extraction of the …

Speech as Interface in Web Applications for Visually Challenged
P Verma – 2013 – content.grin.com
… 62 5.3.3.3. Keystroke Handler 62 5.3.3.4. Speech Recognizer 62 5.3.3.5. Speech Synthesizer 63 5.3.3.6. Content Summarizer 63 5.3.3.7. Interface 64 5.3.3.8. Encrpter-Decrypter 64 5.4. SPEECH BASED WEB APPLICATIONS DEVELOPMENT USING SICE FRAMEWORK 64 …

Integrating Extractive and Abstractive Models for Long Text Summarization
S Wang, X Zhao, B Li, B Ge… – Big Data (BigData …, 2017 – ieeexplore.ieee.org
… and recurrent neural network (RNN) based sequence-to-sequence learning (seq2seq) has achieved re- markable success in various natural language processing tasks, including but not limited to machine translation [2], voice recognition [3] and dialogue systems [22], etc …

Joint models for concept-to-text generation
I Konstas – 2014 – era.lib.ed.ac.uk
… thus inaccessible to non-experts or laypersons. However, most conventional search en- gines and natural language processing tools (eg, summarisers) can only handle textual input … This is more common in the NLG part of dialogue systems, which need to keep track of what …

A data-driven approach to automatic tweet generation about traffic incidents
MK Tran – 2016 – summit.sfu.ca
… The MATCH dialogue system [12, 45] is an NLG system that gives users restaurant rec- ommendations … Each tweet consists the headline of the article and the link to it. Then, they use six state-of-the-art text summarizers to generate summary sentences for each article …

RST Bibliography from the RST web site (http://www. sfu. ca/rst) Last updated: January 21, 2015
NN Mitkov, N Nikolov – health communication – pdfs.semanticscholar.org
… 2006. A two-step summarizer of Brazilian Portuguese texts. Proceedings of the 4th Workshop on Information and Human Language Technology (TIL). Ribeirão Preto-SP, Brazil. Carenini, Giuseppe, Fabio Pianesi, Marco Ponzi & Oliviero Stock. 1993 …

Exploring text-to-scene feedback as an alternativefor second language acquisition: Development of a text-to-scene program for the assimilation of spatial relations in …
J ROUX – 2013 – diva-portal.org
… Page 11. Page 12. Chapter 1 Introduction Speech technology has developed dramatically in the last decades: we have seen text-to-speech and speech-to-text programs, sophisticated dialogue systems and document summarizers. There is however little text-to-scene research …

Unsupervised Active Learning of CRF Model for Cross Lingual Information Extraction.
MFA Hady, A Karali, E Kamal, R Ibrahim – Int. J. Comput. Linguistics …, 2014 – gelbukh.com
Page 95. International Journal of Computational Linguistics and Applications, vol. 5, no. 2, 2014, pp. 95–113 Received 5/01/2014, accepted 6/02/2014, final 10/12/2014. ISSN 0976-0962, http://ijcla. bahripublications. com Unsupervised …

Text mining of web-based medical content
J Bellika, A Bravo-Salgado, M Brezovan, DD Burdescu… – 2014 – books.google.com
… visu- ally impaired. The author shows how this health dialogue system provides health information about lassa fever, malaria fever, typhoid fever and yellow fever to those who cannot access this information on line. The author …

NLTK essentials
N Hardeniya – 2015 – books.google.com
… translation 63 Statistical machine translation 65 Information retrieval 65 Boolean retrieval 66 Vector space model 66 The probabilistic model 67 Speech recognition 68 Text classification 68 Information extraction 70 Question answering systems 70 Dialog systems 71 Word …

SongRecommend: From summarization to recommendation
S Tata, B Di Eugenio – Natural Language Engineering, 2014 – cambridge.org
… A general introduction to SongRecommend is provided in Section 3. We devote Section 4 to our summarizer that extracts comments on individual tracks from album reviews and produces a summary of those comments for each individual track recommended to the user …

Generating Descriptions for Images
A Gupta – IIIT Hyderabad, India, 2013 – web2py.iiit.ac.in
… The features used by the summarizer to score sentences in the documents are … structing templates with linguistic constraints. Templates have often been used for various practi- cal applications such as summarization [Zhou04] and dialogue systems [Channarukul03] …

Complex question answering: minimizing the gaps and beyond
SSA Hasan – 2013 – uleth.ca
… period of 1970 and 1990 in order to develop different types of QA systems that could be categorized as natural language database systems, dialogue systems, and reading compre- hension systems (Greenwood, 2005). After that, researchers focused on answering simple …

and Intelligent Text Processing
A Gelbukh – Springer
Page 1. Alexander Gelbukh (Ed.) 123 LNCS 9042 16th International Conference, CICLing 2015 Cairo, Egypt, April 14–20, 2015 Proceedings, Part II Computational Linguistics and Intelligent Text Processing Page 2. Lecture Notes in Computer Science 9042 …

Tag Recommendation for Short Arabic Text by Using Latent Semantic Analysis of Wikipedia 
YKA Samra, IM Alagha – 2017 – mobt3ath.com
Page 1. Tag Recommendation for Short Arabic Text by Using Latent Semantic Analysis of Wikipedia Yousef K. Abu Samra Supervised By: Dr. Iyad M. Alagha Assistant Professor of Computer Science …

Topical Structure in Long Informal Documents
A Kazantseva – 2014 – ruor.uottawa.ca
… informative, alternative. To date, models based on topical segments have been used in information extraction, essay analysis and scoring, automatic assessment of coherence of text, automatic dialogue systems, etc. [Webber et al., 2012]. On the other side of the issue …

Fuzzy topic modeling for medical corpora
A Karami – 2015 – search.proquest.com
… This technique was used to extract clinical concepts from psychiatric narratives [47]. According to [48] LSA was used to extract semantic words and semantic concepts for developing an ontology-based speech act identication in a bilingual dialogue system …

Towards Large Scale Summarization
JM Christensen – 2015 – digital.lib.washington.edu
Page 1. c Copyright 2014 Janara Christensen Page 2. Page 3. Towards Large Scale Summarization Janara Christensen A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2014 Reading …

1st International Workshop on Multimodal Media Data Analytics (MMDA 2016)
S Vrochidis, M Melero, L Wanner, J Grivolla, Y Estève… – ecai2016.org
Page 1. ECAI 2016, MMDA 2016 workshop, August 2016 1st International Workshop on Multimodal Media Data Analytics (MMDA 2016) The rapid advancements of digital technologies, as well as the penetration of internet and …

Question Generation from Knowledge Graphs
D Seyler, K Berberich, G Weikum – 2015 – pubman.mpdl.mpg.de
Page 1. Universität des Saarlandes Max-Planck-Institut für Informatik AG5 U N IVERSIT A S S A R AVIEN S IS Question Generation from Knowledge Graphs Masterarbeit im Fach Informatik Master’s Thesis in Computer Science von / by Dominic Seyler …

(Visited 32 times, 1 visits today)