Fetching the paper…
Reading the bibliography…
With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each document in a few words.
C. C. White III and D. J. White, “Markov Decision Processes,” European Journal of Operational Research , vol. 39, no. 1, pp. 1–16, 1989
1989
Earlier work this paper cites.
D. Graff, “North American News Text Corpus LDC95t21,” 1995, north American News Text Corpus LDC95T21. Web Download. Philadelphia: Linguistic Data Consortium, 1995
1995
Earlier work this paper cites.
G. A. Miller, “WordNet: A Lexical Database for English,” Communications of the ACM , vol. 38, no. 11, pp. 39–41, 1995
1995
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long Short-Term Memory,” Neural computation , vol. 9, no. 8, pp. 1735–1780, 1997
1997
Earlier work this paper cites.
O. Lassila, R. R. Swick et al. , “Resource Description Framework (RDF) Model and Syntax Specification,” 1998
1998
Earlier work this paper cites.
A. McCallum, K. Nigam et al. , “A Comparison of Event Models for Naive Bayes Text Classification,” in AAAI-98 workshop on learning for text categorization , vol. 752. Citeseer, 1998, pp. 41–48
1998
Earlier work this paper cites.
E. M. Voorhees and D. M. Tice, “The TREC-8 Question Answering Track Evaluation,” in TREC , vol. 1999. Citeseer, 1999, p. 82
1999
Earlier work this paper cites.
E. Agichtein and L. Gravano, “Snowball: Extracting Relations from Large Plain-Text Collections,” in Proceedings of the fifth ACM conference on Digital libraries , 2000, pp. 85–94
2000
Earlier work this paper cites.
P. D. Turney, “Learning Algorithms for Keyphrase Extraction,” Information retrieval , vol. 2, no. 4, pp. 303–336, 2000
2000
Earlier work this paper cites.
J. Lafferty, A. McCallum, and F. C. Pereira, “Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data,” 2001
2001
Earlier work this paper cites.
R. F. Mihalcea and S. I. Mihalcea, “Word Semantics for Information Retrieval: Moving One Step Closer to the Semantic Web,” in Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001 . IEEE, 2001, pp. 280–287
2001
Earlier work this paper cites.
S. Tong and D. Koller, “Support Vector Machine Active Learning with Applications to Text Classification,” Journal of machine learning research , vol. 2, no. Nov, pp. 45–66, 2001
2001
Earlier work this paper cites.
B. Pang, L. Lee, and S. Vaithyanathan, “Thumbs up? Sentiment Classification using Machine Learning Techniques,” arXiv preprint cs/0205070 , 2002
2002
Earlier work this paper cites.
G. Chechik and N. Tishby, “Extracting Relevant Structures with Side Information,” Advances in neural information processing systems , vol. 15, pp. 881–888, 2002
2002
Earlier work this paper cites.
S. Banerjee and T. Pedersen, “An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet,” in International conference on intelligent text processing and computational linguistics . Springer, 2002, pp. 136–145
2002
Earlier work this paper cites.
H. G. Silber and K. F. McCoy, “Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization,” Computational Linguistics , vol. 28, no. 4, pp. 487–496, 2002
2002
Earlier work this paper cites.
D. Zelenko, C. Aone, and A. Richardella, “Kernel Methods for Relation Extraction,” Journal of machine learning research , vol. 3, no. Feb, pp. 1083–1106, 2003
2003
Earlier work this paper cites.
I. H. Witten, G. W. Paynter, E. Frank, C. Gutwin, and C. G. Nevill-Manning, “KEA: Practical Automated Keyphrase Extraction,” in Design and Usability of Digital Libraries: Case Studies in the Asia Pacific . IGI global, 2005, pp. 129–152
2005
Earlier work this paper cites.
R. Bunescu and R. Mooney, “A Shortest Path Dependency Kernel for Relation Extraction,” in Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing , 2005, pp. 724–731
2005
Earlier work this paper cites.
A. Mitchell, S. Strassel, S. Huang, and R. Zakhary, “ACE 2004 Multilingual Training Corpus,” Linguistic Data Consortium, Philadelphia , vol. 1, pp. 1–1, 2005
2005
Earlier work this paper cites.
R. McDonald et al. , “Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE,” in Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05) , 2005, pp. 491–498
2005
Earlier work this paper cites.
D. Kelleher and S. Luz, “Automatic Hypertext Keyphrase Detection,” in IJCAI , vol. 5, 2005, pp. 1608–1609
2005
Earlier work this paper cites.
C. Walker, S. Strassel, J. Medero, and K. Maeda, “ACE 2005 Multilingual Training Corpus,” Linguistic Data Consortium, Philadelphia , vol. 57, p. 45, 2006
2006
Earlier work this paper cites.
N. Bach and S. Badaskar, “A Review of Relation Extraction,” Literature review for Language and Statistics II , vol. 2, pp. 1–15, 2007
2007
Earlier work this paper cites.
J. Jiang and C. Zhai, “A Systematic Exploration of the Feature Space for Relation Extraction,” in Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference , 2007, pp. 113–120
2007
Earlier work this paper cites.
K. Fundel, R. Küffner, and R. Zimmer, “RelEx—-Relation extraction using dependency parse trees,” Bioinformatics , vol. 23, no. 3, pp. 365–371, 2007
2007
Earlier work this paper cites.
S. M. Beitzel, E. C. Jensen, A. Chowdhury, and O. Frieder, “Varying Approaches to Topical Web Query Classification,” in Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval , 2007, pp. 783–784
2007
Earlier work this paper cites.
O. Etzioni, M. Banko, S. Soderland, and D. S. Weld, “Open information extraction from the web,” Communications of the ACM , vol. 51, no. 12, pp. 68–74, 2008
2008
Earlier work this paper cites.
2008
Earlier work this paper cites.
E. Sandhaus, “The New York Times Annotated Corpus,” Linguistic Data Consortium, Philadelphia , vol. 6, no. 12, p. e26752, 2008
2008
Earlier work this paper cites.
K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor, “Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge,” in Proceedings of the 2008 ACM SIGMOD international conference on Management of data , 2008, pp. 1247–1250
2008
Earlier work this paper cites.
L. Màrquez, X. Carreras, K. C. Litkowski, and S. Stevenson, “Semantic Role Labeling: An Introduction to the Special Issue,” 2008
2008
Earlier work this paper cites.
O. Medelyan and I. H. Witten, “Domain-Independent Automatic Keyphrase Indexing with Small Training Sets,” Journal of the American Society for Information Science and Technology , vol. 59, no. 7, pp. 1026–1040, 2008
2008
Earlier work this paper cites.
N. Tongtep and T. Theeramunkong, “A Feature-Based Approach for Relation Extraction from Thai News Documents,” in Pacific-Asia Workshop on Intelligence and Security Informatics . Springer, 2009, pp. 149–154
2009
Earlier work this paper cites.
M. Mintz, S. Bills, R. Snow, and D. Jurafsky, “Distant supervision for relation extraction without labeled data,” in Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP , 2009, pp. 1003–1011
2009
Earlier work this paper cites.
R. Hoffmann, C. Zhang, and D. S. Weld, “Learning 5000 Relational Extractors,” in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , 2010, pp. 286–295
2010
Earlier work this paper cites.
S. Riedel, L. Yao, and A. McCallum, “Modeling Relations and Their Mentions without Labeled Text,” in Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer, 2010, pp. 148–163
2010
Earlier work this paper cites.
F. Wu and D. S. Weld, “Open Information Extraction using Wikipedia,” in Proceedings of the 48th annual meeting of the association for computational linguistics , 2010, pp. 118–127
2010
Earlier work this paper cites.
A. Carlson et al. , “Toward an Architecture for Never-Ending Language Learning.” in Aaai , vol. 5, no. 3. Atlanta, 2010
2010
Earlier work this paper cites.
D. M. Cer, M.-C. De Marneffe, D. Jurafsky, and C. D. Manning, “Parsing to Stanford Dependencies: Trade-offs between speed and accuracy,” in LREC . Floriana, Malta, 2010
2010
Earlier work this paper cites.
C. J. Burges, “From ranknet to lambdarank to lambdamart: An overview,” Learning , vol. 11, no. 23-581, p. 81, 2010
2010
Earlier work this paper cites.
R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, and D. S. Weld, “Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations,” in Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies , 2011, pp. 541–550
2011
Earlier work this paper cites.
A. Fader, S. Soderland, and O. Etzioni, “Identifying Relations for Open Information Extraction,” in Proceedings of the 2011 conference on empirical methods in natural language processing , 2011, pp. 1535–1545
2011
Earlier work this paper cites.
M. Surdeanu, J. Tibshirani, R. Nallapati, and C. D. Manning, “Multi-instance Multi-label Learning for Relation Extraction,” in Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning , 2012, pp. 455–465
2012
Earlier work this paper cites.
C. B. Browne, E. Powley, D. Whitehouse, S. M. Lucas, P. I. Cowling, P. Rohlfshagen, S. Tavener, D. Perez, S. Samothrakis, and S. Colton, “A Survey of Monte Carlo Tree Search Methods,” IEEE Transactions on Computational Intelligence and AI in games , vol. 4, no. 1, pp. 1–43, 2012
2012
Earlier work this paper cites.
M. Schmitz, S. Soderland, R. Bart, O. Etzioni et al. , “Open Language Learning for Information Extraction,” in Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning , 2012, pp. 523–534
2012
Earlier work this paper cites.
V. I. Spitkovsky and A. X. Chang, “A Cross-Lingual Dictionary for English Wikipedia Concepts,” 2012
2012
Earlier work this paper cites.
N. Nakashole, G. Weikum, and F. Suchanek, “PATTY: A Taxonomy of Relational Patterns with Semantic Types,” in Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning , 2012, pp. 1135–1145
2012
Earlier work this paper cites.
A. M. N. Allam and M. H. Haggag, “The Question Answering Systems: A Survey,” International Journal of Research and Reviews in Information Sciences (IJRRIS) , vol. 2, no. 3, 2012
2012
Earlier work this paper cites.
M. Ramprasath and S. Hariharan, “A Survey on Question Answering System,” International Journal of Research and Reviews in Information Sciences , vol. 2, no. 1, pp. 171–179, 2012
2012
Earlier work this paper cites.
J. Christensen, S. Soderland, O. Etzioni et al. , “Towards Coherent Multi-Document Summarization,” in Proceedings of the 2013 conference of the North American chapter of the association for computational linguistics: Human language technologies , 2013, pp. 1163–1173
2013
Cited alongside, same era.
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, “Distributed Representations of Words and Phrases and their Compositionality,” in Advances in neural information processing systems , 2013, pp. 3111–3119
2013
Cited alongside, same era.
L. Del Corro and R. Gemulla, “ClausIE: Clause-Based Open Information Extraction,” in Proceedings of the 22nd international conference on World Wide Web , 2013, pp. 355–366
2013
Cited alongside, same era.
F. Mesquita, J. Schmidek, and D. Barbosa, “Effectiveness and Efficiency of Open Relation Extraction,” in Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , 2013, pp. 447–457
2013
Cited alongside, same era.
S. Vashishth, P. Jain, and P. Talukdar, “CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information,” in Proceedings of the 2018 World Wide Web Conference , 2018, pp. 1317–1327
2018
Later among the works it cites.
J. L. Martinez-Rodriguez, I. Lopez-Arevalo, and A. B. Rios-Alvarado, “OpenIE-based approach for Knowledge Graph construction from text,” Expert Systems with Applications , vol. 113, pp. 339–355, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
A. Smirnova and P. Cudré-Mauroux, “Relation Extraction Using Distant Supervision: A Survey,” ACM Computing Surveys (CSUR) , vol. 51, no. 5, pp. 1–35, 2018
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Xu, M.-Y. Kim, K. M. Quinn, R. Goebel, and D. Barbosa, “Open Information Extraction with Tree Kernels,” in Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2013, pp. 868–877
2013
Cited alongside, same era.
L. A. Galárraga, C. Teflioudi, K. Hose, and F. Suchanek, “AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases,” in Proceedings of the 22nd international conference on World Wide Web , 2013, pp. 413–422
2013
Cited alongside, same era.
TACKBP, “TAC KBP Dataset,” in Text Analysis Conference Knowledge Base Population , 2014
2014
Cited alongside, same era.
P. Gamallo, “An Overview of Open Information Extraction,” in 3rd Symposium on Languages, Applications and Technologies . Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2014
2014
Cited alongside, same era.
2014
Cited alongside, same era.
A. Fader, L. Zettlemoyer, and O. Etzioni, “Open Question Answering Over Curated and Extracted Knowledge Bases,” in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining , 2014, pp. 1156–1165
2014
Cited alongside, same era.
X. Dong et al. , “Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion,” in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining , 2014, pp. 601–610
2014
Cited alongside, same era.
L. Galárraga, G. Heitz, K. Murphy, and F. M. Suchanek, “Canonicalizing Open Knowledge Bases,” in Proceedings of the 23rd acm international conference on conference on information and knowledge management , 2014, pp. 1679–1688
2014
Cited alongside, same era.
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
S. Lim and J. Kang, “Chemical–gene relation extraction using recursive neural network,” Database , vol. 2018, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
S. Liu, F. Shen, R. Komandur Elayavilli, Y. Wang, M. Rastegar-Mojarad, V. Chaudhary, and H. Liu, “Extracting chemical–protein relations using attention-based neural networks,” Database , vol. 2018, 2018
2018
Later among the works it cites.
P. Corbett and J. Boyle, “Improving the learning of chemical-protein interactions from literature using transfer learning and specialized word embeddings,” Database , vol. 2018, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
F. Murdaca et al. , “Knowledge-based information extraction from datasheets of space parts,” in 8th International Systems & Concurrent Engineering for Space Applications Conference , 2018
2018
Later among the works it cites.
G. Stanovsky, J. Michael, L. Zettlemoyer, and I. Dagan, “Supervised Open Information Extraction,” in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , 2018, pp. 885–895
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
T.-H. Wu, Z. Wu, B. Kao, and P. Yin, “Towards Practical Open Knowledge Base Canonicalization,” in Proceedings of the 27th ACM International Conference on Information and Knowledge Management , 2018, pp. 883–892
2018
Later among the works it cites.
H. Li et al. , “Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph,” in 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) . IEEE, 2018, pp. 183–193
2018
Later among the works it cites.
M. Rahat and A. Talebpour, “Open information extraction as an intermediate semantic structure for Persian text summarization,” International Journal on Digital Libraries , vol. 19, no. 4, pp. 339–352, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
T. Cai et al. , “EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research,” BMC medical informatics and decision making , vol. 19, no. 1, p. 226, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
Q. Tao, X. Luo, H. Wang, and R. Xu, “Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts,” in 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) . IEEE, 2019, pp. 1574–1580
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
G. Liu and J. Guo, “Bidirectional LSTM with attention mechanism and convolutional layer for text classification,” Neurocomputing , vol. 337, pp. 325–338, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
S. Jia and Y. Xiang, “Hybrid neural tagging model for open relation extraction,” arXiv , pp. arXiv–1908, 2019
2019
Later among the works it cites.
X. Lin and L. Chen, “Canonicalization of Open Knowledge Bases with Side Information from the Source Text,” in 2019 IEEE 35th International Conference on Data Engineering (ICDE) . IEEE, 2019, pp. 950–961
2019
Later among the works it cites.
K. Adnan and R. Akbar, “An analytical study of information extraction from unstructured and multidimensional big data,” Journal of Big Data , vol. 6, no. 1, pp. 1–38, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
A. A. Salatino, F. Osborne, T. Thanapalasingam, and E. Motta, “The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles,” in International Conference on Theory and Practice of Digital Libraries . Springer, 2019, pp. 296–311
2019
Later among the works it cites.
T. Jiang et al. , “The Role of ”Condition”: A Novel Scientific Knowledge Graph Representation and Construction Model,” in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2019, pp. 1634–1642
2019
Later among the works it cites.
B. Zhong, X. Xing, P. Love, X. Wang, and H. Luo, “Convolutional neural network: Deep learning-based classification of building quality problems,” Advanced Engineering Informatics , vol. 40, pp. 46–57, 2019
2019
Later among the works it cites.
E. Wang et al. , “A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development,” JMIR Medical Informatics , vol. 8, no. 5, p. e17643, 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
Z. Li, Z. Yang, Y. Xiang, L. Luo, Y. Sun, and H. Lin, “Exploiting sequence labeling framework to extract document-level relations from biomedical texts,” BMC bioinformatics , vol. 21, pp. 1–14, 2020
2020
Later among the works it cites.
J. Zhan and H. Zhao, “Span Model for Open Information Extraction on Accurate Corpus,” in AAAI , 2020
2020
Later among the works it cites.
G. Liu, X. Li, J. Wang, M. Sun, and P. Li, “Extracting Knowledge from Web Text with Monte Carlo Tree Search,” in Proceedings of The Web Conference 2020 , 2020, pp. 2585–2591
2020
Later among the works it cites.
B. Inc., “SAOKE Dataset,” https://ai.baidu.com/broad/subordinate?dataset=saoke , last accessed 12-03-2020
2020
Later among the works it cites.
2020
Later among the works it cites.
D. Dessì et al. , “AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence,” in International Semantic Web Conference . Springer, 2020, pp. 127–143
2020
Later among the works it cites.
K. Al Khatib et al. , “End-to-End Argumentation Knowledge Graph Construction.” in AAAI , 2020, pp. 7367–7374
2020
Later among the works it cites.
M. Fayazi, Z. Colter, E. Afshari, and R. Dreslinski, “Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review,” IEEE Transactions on Circuits and Systems I: Regular Papers , 2021
2021
Later among the works it cites.
J. Zhan, “Span _ \_ OIE,” https://github.com/zhanjunlang/Span$_$OIE , last accessed 2021-05-11
2021
Later among the works it cites.
E. Gabrilovich, M. Ringgaard, and A. Subramanya, “FACC1: Freebase annotation of ClueWeb corpora, Version 1,” vol. 5, p. 140, 2013, last accessed 2021-05-11
2021
Later among the works it cites.
Z. Colter, M. Fayazi, Z. Benameur-El, S. Kamp, S. Yu, and R. Dreslinski, “Tablext: A combined neural network and heuristic based table extractor,” Array , p. 100220, 2022
2022
Later among the works it cites.
M. Fayazi, Z. Colter, Z. Benameur-El Youbi, J. Bagherzadeh, T. Ajayi, and R. Dreslinski, “FASCINET: A Fully Automated Single-Board Computer Generator Using Neural Networks,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , 2022
2022
Later among the works it cites.