Frame Semantic Parsing 2017


Resources:

See also:

Deep Belief Network & Dialog SystemsFrameNet & Dialog SystemsLanguage Modeling & Dialog Systems 2017LSTM (Long Short Term Memory) & Dialog Systems 2017Neural Network & Dialog Systems 2016Paraphrasing & Dialog Systems 2017RNN (Recurrent Neural Network) & Dialog Systems 2016Semantic ParsingSlot Filling & Dialog Systems 2017Text-to-Scene 2017Treebank & Dialog Systems 2017


Towards zero-shot frame semantic parsing for domain scaling
A Bapna, G Tur, D Hakkani-Tur, L Heck – arXiv preprint arXiv:1707.02363, 2017 – arxiv.org
State-of-the-art slot filling models for goal-oriented human/machine conversational language understanding systems rely on deep learning methods. While multi-task training of such models alleviates the need for large in-domain annotated datasets, bootstrapping a …

Frame-semantic parsing with softmax-margin segmental RNNs and a syntactic scaffold
S Swayamdipta, S Thomson, C Dyer… – arXiv preprint arXiv …, 2017 – arxiv.org
We present a new, efficient frame-semantic parser that labels semantic arguments to FrameNet predicates. Built using an extension to the segmental RNN that emphasizes recall, our basic system achieves competitive performance without any calls to a syntactic …

A joint sequential and relational model for frame-semantic parsing
B Yang, T Mitchell – Proceedings of the 2017 Conference on Empirical …, 2017 – aclweb.org
We introduce a new method for framesemantic parsing that significantly improves the prior state of the art. Our model leverages the advantages of a deep bidirectional LSTM network which predicts semantic role labels word by word and a relational network which predicts …

SLING: A framework for frame semantic parsing
M Ringgaard, R Gupta, FCN Pereira – arXiv preprint arXiv:1710.07032, 2017 – arxiv.org
We describe SLING, a framework for parsing natural language into semantic frames. SLING supports general transition-based, neural-network parsing with bidirectional LSTM input encoding and a Transition Based Recurrent Unit (TBRU) for output decoding. The parsing …

Semantic web machine reading with FRED
A Gangemi, V Presutti, D Reforgiato Recupero… – Semantic …, 2017 – content.iospress.com
A formal machine reader is a tool able to transform natural language text into formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics. FRED is a formal machine reader for the semantic web: its out.

Out-of-domain FrameNet semantic role labeling
S Hartmann, I Kuznetsov, T Martin… – Proceedings of the 15th …, 2017 – aclweb.org
Page 1. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 471–482, Valencia, Spain, April 3-7, 2017. cO2017 Association for Computational Linguistics …

Improving frame semantic parsing with hierarchical dialogue encoders
A Bapna, G Túr, D Hakkani-Túr, L Heck – Google Scholar, 2017 – pdfs.semanticscholar.org
Abstract Conversational Language Understanding (CLU) is a key component of goal oriented dialogue systems that would parse user utterances into semantic frame representations. Traditionally CLU does not utilize the dialogue history beyond the previous …

Multi-task learning of keyphrase boundary classification
I Augenstein, A Søgaard – arXiv preprint arXiv:1704.00514, 2017 – arxiv.org
… The Journal of Machine Learning Research 12:2493–2537. Dipanjan Das, Desai Chen, Andre Martins, Nathan Schneider, and Noah Smith. 2014. Frame-semantic parsing. Computational linguistics 40(1):9–56. Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang …

Event detection using frame-semantic parser
E Spiliopoulou, E Hovy, T Mitamura – … of the Events and Stories in the …, 2017 – aclweb.org
… Papers). Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A Smith. 2014. Frame- semantic parsing. Computational Linguistics . Reza Ghaeini, Xiaoli Z Fern, Liang Huang, and Prasad Tadepalli. 2016 …

SK-languages as a powerful and flexible semantic formalism for the systems of cross-lingual intelligent information access
VA Fomichov – Informatica, 2017 – informatica.si
… The structure of this paper is as follows. Section 2 analyses related approaches, the main attention is paid to Semantic Role Labeling, Frame-Semantic Parsing, and Abstract Meaning Representation. Section 3 contains a task statement …

Distilling task knowledge from how-to communities
CX Chu, N Tandon, G Weikum – … of the 26th International Conference on …, 2017 – dl.acm.org
… A related, but more difficult task than SRL is Frame Semantic Parsing (FSP) [11], for aligning sentences to FrameNet frames, which are much richer than PropBank. Early work on this task includes rule-based sys- tem and classifiers to predict frames and their arguments in text …

Integrating answer set programming with semantic dictionaries for robot task planning
D Lu, Y Zhou, F Wu, Z Zhang, X Chen – Proceedings of the 26th …, 2017 – ijcai.org
… In Proc. of IJCAI, 2013. [Das et al., 2012] Dipanjan Das, Desai Chen, André FT Mar- tins, Nathan Schneider, and Noah A Smith. Frame- Semantic Parsing. CL, 39(4):1–47, 2012. [Du Toit and Burdick, 2012] Noel E Du Toit and Joel W Burdick …

Ramble on: tracing movements of popular historical figures
S Menini, R Sprugnoli, G Moretti, E Bignotti… – Proceedings of the …, 2017 – aclweb.org
… Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A. Smith. 2014. Frame-semantic parsing. Computational linguistics, 40(1):9–56. Olivier Gergaud, Morgane Laouénan, Etienne Wasmer, et al. 2016 …

Learning Algorithms for Broad-Coverage Semantic Parsing
S Swayamdipta – 2017 – cs.cmu.edu
Page 1. Learning Algorithms for Broad-Coverage Semantic Parsing Swabha Swayamdipta September 2017 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee: Noah A. Smith, Chair …

Graph Methods for Multilingual FrameNets
C Baker, M Ellsworth – Proceedings of TextGraphs-11: The Workshop on …, 2017 – aclweb.org
… URL http://sites.la.utexas.edu/hcb/ files/2011/02/Boas_2009e_Trends_ in_Multl_Lexicography. pdf. Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A. Smith. Frame- Semantic parsing. Computational Linguistics, 40 (1), 2014 …

Building Task-Oriented Dialogue Systems for Online Shopping.
Z Yan, N Duan, P Chen, M Zhou, J Zhou, Z Li – AAAI, 2017 – aaai.org
Page 1. Building Task-Oriented Dialogue Systems for Online Shopping Zhao Yan §? , Nan Duan ‡ , Peng Chen , Ming Zhou ‡ , Jianshe Zhou ¶ and Zhoujun Li §† § State Key Lab of Software Development Environment, Beihang …

Semantic frames and visual scenes: Learning semantic role inventories from image and video descriptions
E Shutova, A Wundsam, H Yannakoudakis – Proceedings of the 6th Joint …, 2017 – aclweb.org
… ac.uk Abstract Frame-semantic parsing and semantic role labelling, that aim to automatically assign semantic roles to arguments of verbs in a sentence, have recently become an ac- tive strand of research in NLP. However, to …

FrameNet: Frame Semantic Annotation in Practice
CF Baker – Handbook of Linguistic Annotation, 2017 – Springer
Beginning with an overview of the theory of Frame Semantics as developed by Charles Fillmore and colleagues, this article details the annotation of English sentences by the FrameNet Project based on t.

Interpreting and extracting open knowledge for human-robot interaction
D Lu, X Chen – IEEE/CAA Journal of Automatica Sinica, 2017 – ieeexplore.ieee.org
… E. Baseline A baseline for our work is the frame-semantic parsing system presented by [13] … A(rk) = arg max s?S p(s|rk,f,v, x). For instance, frame-semantic parsing on the sentence “Take a beer from the refrigerator to the dinner table” is as illustrated in Fig …

Semantic specialisation of distributional word vector spaces using monolingual and cross-lingual constraints
N Mrkši?, I Vuli?, DÓ Séaghdha, I Leviant… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints Nikola Mrkšic1,2, Ivan Vulic1, Diarmuid Ó Séaghdha2, Ira Leviant3 Roi Reichart3, Milica Gašic1, Anna …

A multilingual FrameNet-based grammar and lexicon for controlled natural language
N Gruzitis, D Dannélls – Language Resources and Evaluation, 2017 – Springer
Berkeley FrameNet is a lexico-semantic resource for English based on the theory of frame semantics. It has been exploited in a range of natural language processing applications and has inspired the de.

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
F Ferraro, A Poliak, R Cotterell… – arXiv preprint arXiv …, 2017 – arxiv.org
… Dipanjan Das, Nathan Schneider, Desai Chen, and Noah A Smith. 2010. Probabilistic frame-semantic parsing. In Human language technologies: The 2010 annual conference of the North American chapter of the association for computational lin- guistics …

Automatically Tagging Constructions of Causation and Their Slot-Fillers
J Dunietz, L Levin, J Carbonell – Transactions of the Association of …, 2017 – aclweb.org
… 5.1 Baselines Our task differs significantly from existing tasks such as frame-semantic parsing, both in the forms of al- lowable triggers and in the semantic relationships tar- geted. Our results are therefore not directly compara- ble to a frame-semantic parsing baseline …

Embedded Semantic Lexicon Induction with Joint Global and Local Optimization
SK Jauhar, E Hovy – Proceedings of the 6th Joint Conference on Lexical …, 2017 – aclweb.org
Page 1. Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017), pages 209–219, Vancouver, Canada, August 3-4, 2017. cO2017 Association for Computational Linguistics Embedded …

MARC: A Mobile Application Review Classifier.
N Jha, A Mahmoud – REFSQ Workshops, 2017 – ceur-ws.org
… In: Requirements Engineering Conference. (2014) 153–162 12. Mitchell, T. In: Machine Learning. McGraw-Hill (1997) 13. Das, D., Schneider, N., Chen, D., Smith, N.: Probabilistic frame-semantic parsing. In: Human Language Technologies. (2010) 948–956 14 …

Grammar Scaling: Leveraging FrameNet Data to Increase Embodied Construction Grammar Coverage
E Dodge, S Trott, L Gilardi, E Stickles – 2017 – researchgate.net
… PhD. diss, Department of Computer Science, University of California, Berkeley. Das, D, Chen, D., Martins, AF T, Schneider, N. and Smith, NA. 2014. Frame-Semantic Parsing. Computational Linguistics, 40(1):9–56. Dodge, EK 2010. Constructional and Conceptual Composition …

SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling
A Marasovi?, A Frank – arXiv preprint arXiv:1711.00768, 2017 – arxiv.org
… [7] Bishan Yang and Tom Mitchell. A joint sequential and relational model for frame-semantic parsing. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1258–1267, Copenhagen, Denmark, September 2017 …

Identifying civilians killed by police with distantly supervised entity-event extraction
KA Keith, A Handler, M Pinkham, C Magliozzi… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Identifying civilians killed by police with distantly supervised entity-event extraction Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, and Brendan O’Connor College of Information …

Improvisational storytelling agents
LJ Martin, P Ammanabrolu, X Wang, S Singh… – 2017 – researchgate.net
… [10] Y.-N. Chen, WY Wang, and AI Rudnicky, “Unsupervised induction and filling of seman- tic slots for spoken dialogue systems using frame-semantic parsing,” in Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on, pp. 120–125, IEEE, 2013 …

Frame Semantic Parsing using Framester Knowledge Graphs
DR Recupero, M Alam… – International …, 2017 – iswc2017.semanticweb.org
This paper introduces TakeFive, a new algorithm that performs frame semantic parsing using frame-oriented knowledge graph generated by Framester. TakeFive performs dependency parsing, identifies the words that evoke lexical frames, locates the roles and …

Sentence Similarity Research Based on Chinese FrameNet and Semantic Dependency Parsing
C Li, Y Wu, B Wang – MATEC Web of Conferences, 2017 – matec-conferences.org
… and the overall dependency relation;Finally,it put forward the fusion sentence similarity calculation formula.Experimental results show that compared with the method based on space vector model and based on HowNet and based on Frame Semantic Parsing, this method has …

Improving Semantic Frame Accuracy for Semantic Dependency Parsing
A Saidi – 2017 – duo.uio.no
Page 1. Improving Semantic Frame Accuracy for Semantic Dependency Parsing Arash Saidi Thesis submitted for the degree of Master in Informatics: Language and Communication 60 credits Faculty of mathematics and natural sciences UNIVERSITY OF OSLO Spring 2017 …

Feature Generation for Robust Semantic Role Labeling
T Wolfe, M Dredze, B Van Durme – arXiv preprint arXiv:1702.07046, 2017 – arxiv.org
Page 1. Feature Generation for Robust Semantic Role Labeling Travis Wolfe Mark Dredze Benjamin Van Durme Human Language Technology Center of Excellence Johns Hopkins University Abstract Hand-engineered feature …

N-ary Relation Extraction for Simultaneous T-Box and A-Box Knowledge Base Augmentation
S Web – pdfs.semanticscholar.org
Page 1. Semantic Web 0 (0) 1–28 1 IOS Press N-ary Relation Extraction for Simultaneous T-Box and A-Box Knowledge Base Augmentation Editor(s): Philipp Cimiano, Universität Bielefield, Germany Solicited review(s): Matthias …

Modular Norm Models: A Lightweight Approach for Modeling and Reasoning about Legal Compliance
S Mandal, R Gandhi, H Siy – … & Computing, 3rd Intl Conf on Big …, 2017 – ieeexplore.ieee.org
… Frames, related to the main verb in a clause, involve vari- ous Frame Elements (FEs) in a frame-specific semantic role. Frame-semantic parsing analyzes the entire sentence to identify the semantic roles played by its constituent words and disambiguate multiple word senses …

Frame-Based Semantic Patterns for Relation Extraction
A Mandya, D Bollegala, F Coenen… – International Conference of …, 2017 – Springer
… LNCS, vol. 1590, pp. 172–183. Springer, Heidelberg (1999). https://doi.org/10.1007/ 10704656_11 CrossRefGoogle Scholar. 6. Das, D., Chen, D., Martins, AF, Schneider, N., Smith, NA: Frame-semantic parsing. Comput. Linguist …

Deriving Probabilistic Semantic Frames from HowNet
Y Chen, Y Wan, X Shi, S Xu – Workshop on Chinese Lexical Semantics, 2017 – Springer
… In: Proc. of COLING-ACL 1998, pp. 86-90. Association for Computational Linguistics, USA (1998). 3. Johannsen, A., Alonso, HM, Søgaard A.: Any-language frame-semantic parsing. In: Proc. of EMNLP 2015, pp. 2062-2066 …

Linguistic Theories and Resources for Natural Language Processing
MRL Petruck, EK Dodge – researchgate.net
… 2002. Putting frames in perspective. In COLING. Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A Smith. 2014. Frame-semantic parsing. Computational linguistics 40(1):9–56. Ellen Dodge, Jisup Hong, and Elise Stickles. 2015 …

From Thesaurus to Framenet
S Nimb, A Braasch, S Olsen, B Sandford… – … lexicography in the …, 2017 – curis.ku.dk
… 6 Page 8. In recent years, frame-semantic parsing has received increased interest in the NLP community, and in spite of BFN’s relatively fine-grained inventory of frames and frame elements, this approach has also proven manageable in practical tasks (cf. Section 2a) …

Project Notes on building a conversational parser on top of a text parser: Towards a causal language tagger for spoken Chinese
A Liesenfeld – Proceedings of the 13th Joint ISO-ACL Workshop on …, 2017 – aclweb.org
… 2016. p. 45-54. [2] DAS, Dipanjan, et al. Frame-semantic parsing. Computational linguistics, 2014, 40.1: 9-56. [3] DUNIETZ, Jesse; LEVIN, Lori S.; CARBONELL, Jaime G. Annotating Causal Language Using Corpus Lexicography of Constructions. In: LAW@ NAACL-HLT. 2015 …

The NLTK FrameNet API: Designing for Discoverability with a Rich Linguistic Resource
N Schneider, C Wooters – arXiv preprint arXiv:1703.07438, 2017 – arxiv.org
… O’Reilly Media, Inc., Sebastopol, CA. Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A. Smith. 2014. Frame-semantic parsing. Computational Linguis- tics, 40(1):9–56. Charles J. Fillmore. 1982. Frame Semantics …

From the past into the present: From case frames to semantic frames
HC Boas, R Dux – Linguistics Vanguard – degruyter.com
Page 1 …

Construction Detection in a Conventional NLP Pipeline
J Dunietz, L Levin, MRL Petruck – 2017 – cs.cmu.edu
… of the NLP pipeline. This paper argues for the “constructions on top” approach as a short-term methodology for incorporating CxG into NLP, focusing on how it enhances frame-semantic parsing. After briefly reviewing FrameNet’s …

Long short-term memory description and its application in text processing
L Skovajsová – Communication and Information Technologies …, 2017 – ieeexplore.ieee.org
… The models falling to the two main groups were described, namely, (i) symbolic matching models, where the Frame semantic parsing is mentioned that is used mainly in the question answering systems and word distance benchmark, that consists in measuring of the distance …

An Event Extraction System via Neural Networks.
A Kuila, S Sarkar – FIRE (Working Notes), 2017 – ceur-ws.org
… Judea and Strube,2015 formulated the event extraction problem as frame-semantic parsing [4]. McClosky et al.,2011 [12] uses de- pendency parsing to extract events … 2015. Event Extraction as Frame-Semantic Parsing.. In * SEM@ NAACL-HLT. 159–164 …

Never-Ending Learning for Deep Understanding of Natural Language
T Mitchell – 2017 – dtic.mil
… a multi-strategy approach to frame semantic parsing that combines two distinct neural network approaches, achieving a 5.7 F1 gain over the current state of the art for full frame structure extraction. In addition, we developed …

Replacing OOV Words For Dependency Parsing With Distributional Semantics
P Kolachina, M Riedl, C Biemann – … of the 21st Nordic Conference on …, 2017 – aclweb.org
Page 1. Proceedings of the 21st Nordic Conference of Computational Linguistics, pages 11–19, Gothenburg, Sweden, 23-24 May 2017. c 2017 Linköping University Electronic Press Replacing OOV Words For Dependency Parsing With Distributional Semantics …

Anjishnu Kumar Amazon. com anjikum@ amazon. com
S Tucker, B Hoffmeister, M Dreyer, S Peshterliev… – alborz-geramifard.com
… systems, 2013, pp. 3111–3119. 9 Page 10. [21] Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck, “Towards zero shot frame semantic parsing for domain scaling,” in Interspeech 2017, 2017. [22] Young-Bum Kim …

Building Generalize QA System, SLR
M Zoaib, H Raza, H Shabbir, M Suleman, HA Asghar – researchgate.net
Page 1. BUILDING GENERALIZE QA SYSTEM, SLR Mohammad Zoaib Department of Computer Science FAST – NUCES, Karachi, Pakistan Email: k132290@nu.edu. pk Humdiya Raza Department of Computer Science FAST …

The study of deep learning under big data
W Jinjia, C Hao, L Qingyu – Chinese High Technology Letters, 2017 – en.cnki.com.cn
… & Chinese Information Processing ( Shanxi University ), Ministry of Education , Taiyuan030006 ) 3 ( International Computer Science Institute , Berkeley , California94704 );Chinese Sentence Similarity Computing Based on Frame Semantic Parsing[J];????????;2013-08 …

Classifier-based Pattern Selection Approach for Relation Instance Extraction
A Mandya, D Bollegala, F Coenen… – Proc. of the International … – cgi.csc.liv.ac.uk
Page 1. Classifier-based Pattern Selection Approach for Relation Instance Extraction Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson Department of Computer Science University of Liverpool, UK {angrosh,danushka,coenen,katie}@liverpool.ac.uk Abstract …

A Visual Analytics Approach for Semantic Multi-Video Annotation
M John, K Kurzhals, S Koch, D Weiskopf – vis4dh.dbvis.de
… IEEE Transactions on Multimedia, 11(2):295–312, 2009. [5] D. Das, D. Chen, AF Martins, N. Schneider, and NA Smith. Frame- semantic parsing. Computational Linguistics, 40(1):9–56, 2014. [6] M. Del Fabro and L. Böszörmenyi …

A Sentence Similarity Measure Based on Conceptual Elements
WTW Syn, BC How… – … , Electronic and Computer …, 2017 – journal.utem.edu.my
… http://research.microsoft.com/research/downloads/default.aspx [9] Quora Question Pairs, https://www.kaggle.com/c/quora-question- pairs/data [10] D. Das, D. Chen, AF Martins, N. Schneider, and NA Smith, “Frame-semantic parsing,” Computational linguistics, vol. 40, no. 1 …

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
M Schulder, M Wiegand, J Ruppenhofer… – Proceedings of the Eighth …, 2017 – aclweb.org
Page 1. Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 624–633, Taipei, Taiwan, November 27 – December 1, 2017 cO2017 AFNLP Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features …

Multi-lingual Extraction and Integration of Entities, Relations, Events and Sentiments into ColdStart++ KBs with the SAFT System.
H Chalupsky, J Araki, EH Hovy, A Hsi, Z Liu, X Ma… – TAC, 2017 – tac.nist.gov
Page 1. Multi-lingual Extraction and Integration of Entities, Relations, Events and Sentiments into ColdStart++ KBs with the SAFT System Hans Chalupsky1, Jun Araki2, Eduard Hovy2, Andrew Hsi2, Zhengzhong Liu2, Xuezhe Ma2, Evangelia Spiliopoulou2, and Shuxin Yao2 …

Identifying Usage Expression Sentences in Consumer Product Reviews
S Lahiri, VGV Vydiswaran, R Mihalcea – Proceedings of the Eighth …, 2017 – aclweb.org
Page 1. Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 394–403, Taipei, Taiwan, November 27 – December 1, 2017 cO2017 AFNLP Identifying Usage Expression Sentences in Consumer Product Reviews …

Unsupervised Learning of Evolving Relationships Between Literary Characters.
S Chaturvedi, M Iyyer, H Daumé III – AAAI, 2017 – aaai.org
Page 1. Unsupervised Learning of Evolving Relationships Between Literary Characters Snigdha Chaturvedi Department of Computer Science University of Illinois Urbana-Champaign snigdha@illinois.edu Mohit Iyyer Department …

Recognizing insufficiently supported arguments in argumentative essays
C Stab, I Gurevych – Proceedings of the 15th Conference of the …, 2017 – aclweb.org
Page 1. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 980–990, Valencia, Spain, April 3-7, 2017. cO2017 Association for Computational Linguistics …

A knowledge graph based speech interface for question answering systems
AJ Kumar, C Schmidt, J Köhler – Speech Communication, 2017 – Elsevier
Skip to main content …

N-ary relation extraction for simultaneous T-box and A-box knowledge base augmentation
M Fossati, E Dorigatti, C Giuliano – Semantic Web, 2017 – content.iospress.com
The Web has evolved into a huge mine of knowledge carved in different forms, the predominant one still being the free-text document. This motivates the need for intelligent Web-reading agents : hypothetically, they would skim through disparate Web so.

Scalable multi-domain dialogue state tracking
A Rastogi, D Hakkani-Tür, L Heck – … Speech Recognition and …, 2017 – ieeexplore.ieee.org
… [17] A. Bapna, D. Hakkani-Tür, and L. Heck, “Towards zero- shot frame semantic parsing for domain scaling,” in In Submission., 2017. [18] Jason Williams, “Multi-domain learning and general- ization in dialog state tracking,” in Proceedings of SIG- DIAL. Citeseer, 2013, vol. 62 …

VerbNet: Capturing English verb behavior, meaning and usage
M Palmer, C Bonial, JD Hwang – The Oxford Handbook of …, 2017 – books.google.com
Page 328. 17 CHAPTER VerbNet: Capturing English Verb Behavior, Meaning, and Usage Martha Palmer, Claire Bonial, and Jena D. Hwang Abstract Computational verb lexicons are key to supporting Natural Language Processing …

The State of Knowledge Extraction from Text for Thai Language
P Netisopakul, G Wohlgenannt – Advanced Applied Informatics …, 2017 – ieeexplore.ieee.org
… Nakhon Pathom, Thailand. [6] Dipanjan Das, Desai Chen, André FT Martins, Nathan Schneider, and Noah A. Smith. Frame-semantic parsing. Computational Linguistics, 40(1):9–56, 2014. [7] Jenny Rose Finkel, Trond Grenager, and Christopher Manning …

Constructing and evaluating a novel crowdsourcing-based paraphrased opinion spam dataset
S Kim, S Lee, D Park, J Kang – … of the 26th International Conference on …, 2017 – dl.acm.org
Page 1. Constructing and Evaluating a Novel Crowdsourcing-based Paraphrased Opinion Spam Dataset Seongsoon Kim†, Seongwoon Lee†, Donghyeon Park, Jaewoo Kang? {seongkim, seongwoon, parkdh, kangj}@korea …

Structured learning for spoken language understanding in human-robot interaction
E Bastianelli, G Castellucci, D Croce… – … Journal of Robotics …, 2017 – journals.sagepub.com
Robots are slowly becoming a part of everyday life, being marketed for commercial applications such as telepresence, cleaning or entertainment. Thus, the abilit…

Winning on the merits: The joint effects of content and style on debate outcomes
L Wang, N Beauchamp, S Shugars, K Qin – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes Lu Wang1 Nick Beauchamp2,3 Sarah Shugars3 Kechen Qin1 1College of Computer and Information Science, Northeastern University …

Learning Semantic Patterns for Question Generation and Question Answering
HP Rodrigues – 2017 – pdfs.semanticscholar.org
Page 1. Learning Semantic Patterns for Question Generation and Question Answering Hugo Patinho Rodrigues Ph.D. Thesis Proposal Thesis Advisory Committee Advisors: Prof. Doctor Maria Lu´?sa Coheur Prof. Doctor Eric Nyberg Jury: Prof. Doctor Teruko Mitamura Prof …

Linguistic Reflexes of Well-Being and Happiness in Echo
J Wu, M Walker, P Anand, S Whittaker – arXiv preprint arXiv:1709.00094, 2017 – arxiv.org
Page 1. Linguistic Reflexes of Well-Being and Happiness in Echo Jiaqi Wu, Marilyn Walker, Pranav Anand and Steve Whittaker University of California Santa Cruz 1jwu64,mawalker,panand,swhittakl@ucsc.edu Abstract Different …

A Frame-Based Approach for Integrating Heterogeneous Knowledge Sources
JR Gonzalez – vbn.aau.dk
Page 1. Aalborg Universitet A Frame-Based Approach for Integrating Heterogeneous Knowledge Sources Gonzalez, Jacobo Rouces DOI (link to publication from Publisher): 10.5278/vbn.phd.engsci.00102 Publication date: 2016 …

Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
I Vuli?, N Mrkši?, R Reichart, DÓ Séaghdha… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules Ivan Vulic1, Nikola Mrkšic1, Roi Reichart2 Diarmuid Ó Séaghdha3, Steve Young1, Anna Korhonen1 1 University of Cambridge 2 Technion, Israel Institute of Technology 3 Apple Inc …

FrameBase: Enabling integration of heterogeneous knowledge
J Rouces, G de Melo, K Hose – Semantic Web, 2017 – content.iospress.com
Large-scale knowledge graphs such as those in the Linked Open Data cloud are typically stored as subject-predicate-object triples. However, many facts about the world involve more than two entities. While n-ary relations can be converted to triples i.

Build Evidence Chain Relational Model Based on Chinese Judgment Documents
S Kong, Y Zhou, J Ge, Z Li, C Li, Y Feng, X Zhou… – … of Pioneering Computer …, 2017 – Springer
… Shi, D.: Chinese attributive VN compounds. Chin. Lang. 6, 483–495 (2003)Google Scholar. 19. Li, R., Wang, Z., Li, S., et al.: Chinese sentence similarity computing based on frame semantic parsing. J. Comput. Res. Dev. 50(8), 1728–1736 (2013)Google Scholar. 20 …

Why can’t you convince me? Modeling weaknesses in unpersuasive arguments
I Persing, V Ng – … of the 26th International Joint Conference …, 2017 – pdfs.semanticscholar.org
Page 1. Why Can’t You Convince Me? Modeling Weaknesses in Unpersuasive Arguments Isaac Persing and Vincent Ng Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688 1persingq,vincel@hlt.utdallas.edu Abstract …

Modeling common sense knowledge via scripts
A Modi – 2017 – publikationen.sulb.uni-saarland.de
Page 1. Modeling Common Sense Knowledge via Scripts UNIVERSITÄT DES SAARLANDES Ashutosh Modi A dissertation submitted towards the degree Doctor of Engineering of the Faculty of Mathematics and Computer Science of Saarland University Saarbrücken, July 2017 …

A Trolling Hierarchy in Social Media and A Conditional Random Field For Trolling Detection
LG Mojica – arXiv preprint arXiv:1704.02385, 2017 – arxiv.org
Page 1. A Trolling Hierarchy in Social Media and A Conditional Random Field For Trolling Detection Luis Gerardo Mojica The University of Texas at Dallas Richardson, TX 75083-0688 luis.mojica@utdallas.edu Abstract An-ever …

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
Page 1. EMNLP 2017 The Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference September 9-11, 2017 Copenhagen, Denmark Page 2. c?2017 The Association for Computational Linguistics …

Predictive Linguistic Features of Schizophrenia
ES Kayi, M Diab, L Pauselli, M Compton… – Proceedings of the 6th …, 2017 – aclweb.org
… Dipanjan Das, Nathan Schneider, Desai Chen, and Noah A. Smith. 2010. Probabilistic Frame-semantic Parsing. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Lin- guistics. pages 948–956 …

A conventional dialogue model based on dialogue patterns
GD Duplessis, A Pauchet, N Chaignaud… – … Journal on Artificial …, 2017 – World Scientific
Page 1. International Journal on Artificial Intelligence Tools Vol. 26, No. 1 (2017) 1760009 (23 pages) c World Scientific Publishing Company DOI: 10.1142/S0218213017600090 A Conventional Dialogue Model Based on Dialogue Patterns …

A survey of cross-lingual word embedding models
S Ruder, I Vuli?, A Søgaard – arXiv preprint arXiv:1706.04902, 2017 – arxiv.org
Page 1. A Survey Of Cross-lingual Word Embedding Models A Survey of Cross-lingual Word Embedding Models Sebastian Ruder sebastian@ruder.io Insight Research Centre, National University of Ireland, Galway, Ireland Aylien Ltd., Dublin, Ireland Ivan Vuli? …

Neural Representation Learning in Linguistic Structured Prediction
L Kong – 2017 – cs.cmu.edu
Page 1. Neural Representation Learning in Linguistic Structured Prediction Lingpeng Kong CMU-LTI-17-008 Language Technologies Institute School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213 www.lti.cs.cmu.edu …

Language learning through comparison
OB Babarsad – 2017 – urresearch.rochester.edu
… (subcat), respectively. . . . . 87 Page 10. x List of Figures 2.1 The link-augmented graph of the gloss of the adjective ‘unerect’ . 12 3.1 The frame-semantic parsing of the sentence My Mazda drove faster than his Hyundai. . . . . 27 …

Using Text Mining to Evaluate the China Manufacturing 2025 Regional Action Plan
K Dejing, D Fang, L Zhaofu… – Strategic Study of …, 2017 – engineering.ckcest.cn
Page 1. 149 ?????? 2017 ? ? 19 ? ? 3 ? ???????“???? 2025” ???????? Using Text Mining to Evaluate the China Manufacturing 2025 Regional Action Plan ?????????????????? ?1. ???????????? …

A Relation-Centric View of Semantic Representation Learning
SK Jauhar – 2017 – lti.cs.cmu.edu
Page 1. A Relation-Centric View of Semantic Representation Learning Sujay Kumar Jauhar CMU-LTI-17-006 Language Technologies Institute School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA – 15213 www.lti.cs.cmu.edu …

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

A Framework for Modular Norm Extraction, Modeling and Reasoning
S Mandal – 2017 – search.proquest.com
Page 1. A FRAMEWORK FOR MODULAR NORM EXTRACTION, MODELING AND REASONING By Sayonnha Mandal A DISSERTATION Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements …

Based on sentence similarity and emotion conversation for spoken dialogue system
BH Su, SP Tseng, JF Wang… – … ICOT), 2017 International …, 2017 – ieeexplore.ieee.org
… 1Y54, 2016. [7] L. Ru, W. Zhiqiang, L. Shuanghong, L. Jiye, and C. BaNer, 9Chinese sentence similarity computing based on frame semantic parsing [J],9 Journal of Computer Research and Development, vol. 50, pp. 1728Y1736, 2013 …

Report Linking: Information Extraction for Building Topical Knowledge Bases
T Wolfe – 2017 – jscholarship.library.jhu.edu
… These events will be used in creating structured report-to-report edges/links. Our contri- butions include a transition-based model with global features for frame semantic parsing as well as a detailed analysis of methods for training greedy global models with imitation learning …

Learning Generative End-to-end Dialog Systems with Knowledge
T Zhao – 2017 – cs.cmu.edu
Page 1. November 21, 2017 DRAFT Learning Generative End-to-end Dialog Systems with Knowledge Tiancheng Zhao December 2017 Language Technologies Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 …

Sublinear-Time Optimization for High-Dimensional Learning
IEH Yen – 2017 – pdfs.semanticscholar.org
Page 1. Sublinear-Time Optimization for High-Dimensional Learning Ian En-Hsu Yen Thesis Proposal Nov 2017 Thesis Committee: Pradeep Ravikumar Inderjit S. Dhillon Geoffrey Gordon Barnabas Poczos Machine Learning Department Carnegie Mellon University Page 2 …

(Visited 8 times, 1 visits today)