![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
William L. Hamilton
Person information
- affiliation: Mila - Quebec AI Institute, Montréal, QC, Canada
- affiliation: McGill University, Montréal, QC, Canada
- affiliation (former): Stanford University, Stanford, CA, USA
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i51]Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio:
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR abs/2405.01616 (2024) - 2023
- [j7]Pierre Dodin, Jingyi Xiao, Yossiri Adulyasak
, Neda Etebari Alamdari, Lea Gauthier, Philippe Grangier, Paul Lemaître, William L. Hamilton:
Bombardier Aftermarket Demand Forecast with Machine Learning. INFORMS J. Appl. Anal. 53(6): 425-445 (2023) - 2022
- [j6]Stephen Bonner
, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, Charles Tapley Hoyt, William L. Hamilton:
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. Briefings Bioinform. 23(6) (2022) - [j5]Carlos G. Oliver
, Vincent Mallet
, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl
:
Vernal: a tool for mining fuzzy network motifs in RNA. Bioinform. 38(4): 970-976 (2022) - [j4]Vincent Mallet
, Carlos G. Oliver
, Jonathan Broadbent, William L. Hamilton, Jérôme Waldispühl
:
RNAglib: a python package for RNA 2.5 D graphs. Bioinform. 38(5): 1458-1459 (2022) - [c42]Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton:
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. ICLR 2022 - [c41]Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel:
Online Adversarial Attacks. ICLR 2022 - 2021
- [c40]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 6648-6662 - [c39]Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal:
Structural Inductive Biases in Emergent Communication. CogSci 2021 - [c38]Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? EACL 2021: 2647-2661 - [c37]Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton:
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. EACL 2021: 2816-2822 - [c36]Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton:
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. ICASSP 2021: 8523-8527 - [c35]Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle:
A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR 2021 - [c34]Zichao Yan, William L. Hamilton, Mathieu Blanchette:
Neural representation and generation for RNA secondary structures. ICLR 2021 - [c33]Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió:
Directional Graph Networks. ICML 2021: 748-758 - [c32]Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou:
Rethinking Graph Transformers with Spectral Attention. NeurIPS 2021: 21618-21629 - [c31]Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama:
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS 2021: 25968-25981 - [i50]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR abs/2101.00408 (2021) - [i49]Greta Laage, Emma Frejinger, William L. Hamilton, Andrea Lodi, Guillaume Rabusseau:
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application. CoRR abs/2101.10249 (2021) - [i48]Zichao Yan, William L. Hamilton, Mathieu Blanchette:
Neural representation and generation for RNA secondary structures. CoRR abs/2102.00925 (2021) - [i47]Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton:
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. CoRR abs/2102.03419 (2021) - [i46]Stephen Bonner
, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, William L. Hamilton:
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. CoRR abs/2102.10062 (2021) - [i45]Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel:
Online Adversarial Attacks. CoRR abs/2103.02014 (2021) - [i44]Stephen Bonner
, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, William L. Hamilton:
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. CoRR abs/2105.10488 (2021) - [i43]Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou:
Rethinking Graph Transformers with Spectral Attention. CoRR abs/2106.03893 (2021) - [i42]Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama:
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR abs/2106.05346 (2021) - [i41]Mikhail Galkin, Jiapeng Wu, Etienne G. Denis, William L. Hamilton:
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. CoRR abs/2106.12144 (2021) - [i40]Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton:
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. CoRR abs/2107.10957 (2021) - [i39]Vincent Mallet, Carlos G. Oliver
, William L. Hamilton:
Edge-similarity-aware Graph Neural Networks. CoRR abs/2109.09432 (2021) - 2020
- [b2]William L. Hamilton:
Graph Representation Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00460-5 - [j3]Zichao Yan, William L. Hamilton, Mathieu Blanchette
:
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions. Bioinform. 36(Supplement-1): i276-i284 (2020) - [c30]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL 2020: 2430-2441 - [c29]Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton:
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. EMNLP (1) 2020: 5730-5746 - [c28]Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) 2020: 6093-6101 - [c27]Jin Dong, Marc-Antoine Rondeau, William L. Hamilton:
Distilling Structured Knowledge for Text-Based Relational Reasoning. EMNLP (1) 2020: 6782-6791 - [c26]Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton:
Latent Variable Modelling with Hyperbolic Normalizing Flows. ICML 2020: 1045-1055 - [c25]Komal K. Teru, Etienne G. Denis, William L. Hamilton:
Inductive Relation Prediction by Subgraph Reasoning. ICML 2020: 9448-9457 - [c24]Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS 2020 - [c23]Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton:
Adversarial Example Games. NeurIPS 2020 - [c22]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin:
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. RepL4NLP@ACL 2020: 72-77 - [i38]Agnieszka Slowik
, Abhinav Gupta
, William L. Hamilton, Mateja Jamnik, Sean B. Holden:
Towards Graph Representation Learning in Emergent Communication. CoRR abs/2001.09063 (2020) - [i37]Agnieszka Slowik
, Abhinav Gupta
, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal:
Exploring Structural Inductive Biases in Emergent Communication. CoRR abs/2002.01335 (2020) - [i36]Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton:
Latent Variable Modelling with Hyperbolic Normalizing Flows. CoRR abs/2002.06336 (2020) - [i35]Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR abs/2002.09127 (2020) - [i34]Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton:
Evaluating Logical Generalization in Graph Neural Networks. CoRR abs/2003.06560 (2020) - [i33]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR abs/2005.00583 (2020) - [i32]Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle:
A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR abs/2006.11702 (2020) - [i31]Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton:
Adversarial Example Games. CoRR abs/2007.00720 (2020) - [i30]Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? CoRR abs/2008.09084 (2020) - [i29]Carlos G. Oliver
, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl:
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA. CoRR abs/2009.00664 (2020) - [i28]Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. CoRR abs/2009.11355 (2020) - [i27]Dominique Beaini
, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò:
Directional Graph Networks. CoRR abs/2010.02863 (2020) - [i26]Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton:
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. CoRR abs/2010.03526 (2020) - [i25]Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton:
Stronger Transformers for Neural Multi-Hop Question Generation. CoRR abs/2010.11374 (2020)
2010 – 2019
- 2019
- [c21]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan
, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI 2019: 4602-4609 - [c20]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) 2019: 4505-4514 - [c19]Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm:
Deep Graph Infomax. ICLR (Poster) 2019 - [c18]Avishek Joey Bose, William L. Hamilton:
Compositional Fairness Constraints for Graph Embeddings. ICML 2019: 715-724 - [c17]Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup:
Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia. INTERSPEECH 2019: 3053-3057 - [c16]Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel:
Efficient Graph Generation with Graph Recurrent Attention Networks. NeurIPS 2019: 4257-4267 - [i24]Avishek Joey Bose, William L. Hamilton:
Compositional Fairness Constraints for Graph Embeddings. CoRR abs/1905.10674 (2019) - [i23]Avishek Joey Bose, Andre Cianflone, William L. Hamilton:
Generalizable Adversarial Attacks Using Generative Models. CoRR abs/1905.10864 (2019) - [i22]Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup:
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia. CoRR abs/1906.10199 (2019) - [i21]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR abs/1908.06177 (2019) - [i20]Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel:
Efficient Graph Generation with Graph Recurrent Attention Networks. CoRR abs/1910.00760 (2019) - [i19]Jonathan Lebensold, William L. Hamilton, Borja Balle, Doina Precup:
Actor Critic with Differentially Private Critic. CoRR abs/1910.05876 (2019) - [i18]Komal K. Teru, William L. Hamilton:
Inductive Relation Prediction on Knowledge Graphs. CoRR abs/1911.06962 (2019) - [i17]Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton:
Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR abs/1912.09867 (2019) - 2018
- [b1]William L. Hamilton:
Representation learning methods for computational social science. Stanford University, USA, 2018 - [c15]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML 2018: 5694-5703 - [c14]Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. KDD 2018: 974-983 - [c13]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Embedding Logical Queries on Knowledge Graphs. NeurIPS 2018: 2030-2041 - [c12]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - [c11]Srijan Kumar
, William L. Hamilton, Jure Leskovec
, Dan Jurafsky:
Community Interaction and Conflict on the Web. WWW 2018: 933-943 - [i16]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. CoRR abs/1802.08773 (2018) - [i15]Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Community Interaction and Conflict on the Web. CoRR abs/1803.03697 (2018) - [i14]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Querying Complex Networks in Vector Space. CoRR abs/1806.01445 (2018) - [i13]Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. CoRR abs/1806.01973 (2018) - [i12]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - [i11]Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm:
Deep Graph Infomax. CoRR abs/1809.10341 (2018) - [i10]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR abs/1810.02244 (2018) - [i9]Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau:
Compositional Language Understanding with Text-based Relational Reasoning. CoRR abs/1811.02959 (2018) - 2017
- [j2]William L. Hamilton, Rex Ying, Jure Leskovec:
Representation Learning on Graphs: Methods and Applications. IEEE Data Eng. Bull. 40(3): 52-74 (2017) - [c10]Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Community Identity and User Engagement in a Multi-Community Landscape. ICWSM 2017: 377-386 - [c9]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. ICWSM 2017: 540-543 - [c8]William L. Hamilton, Zhitao Ying, Jure Leskovec:
Inductive Representation Learning on Large Graphs. NIPS 2017: 1024-1034 - [i8]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. CoRR abs/1703.03386 (2017) - [i7]Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Community Identity and User Engagement in a Multi-Community Landscape. CoRR abs/1705.09665 (2017) - [i6]William L. Hamilton, Rex Ying, Jure Leskovec:
Inductive Representation Learning on Large Graphs. CoRR abs/1706.02216 (2017) - [i5]William L. Hamilton, Rex Ying, Jure Leskovec:
Representation Learning on Graphs: Methods and Applications. CoRR abs/1709.05584 (2017) - 2016
- [c7]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. ACL (1) 2016 - [c6]Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky:
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) 2016 - [c5]Alex Wang, William L. Hamilton, Jure Leskovec:
Learning Linguistic Descriptors of User Roles in Online Communities. NLP+CSS@EMNLP 2016: 76-85 - [c4]William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. EMNLP 2016: 595-605 - [c3]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. EMNLP 2016: 2116-2121 - [i4]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. CoRR abs/1605.09096 (2016) - [i3]William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. CoRR abs/1606.02820 (2016) - [i2]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. CoRR abs/1606.02821 (2016) - 2014
- [j1]William L. Hamilton, Mahdi Milani Fard, Joelle Pineau:
Efficient learning and planning with compressed predictive states. J. Mach. Learn. Res. 15(1): 3395-3439 (2014) - [c2]Borja Balle, William L. Hamilton, Joelle Pineau:
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. ICML 2014: 1386-1394 - 2013
- [c1]William L. Hamilton, Mahdi Milani Fard, Joelle Pineau:
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations. ICML (1) 2013: 178-186 - [i1]William L. Hamilton, Mahdi Milani Fard, Joelle Pineau:
Efficient Learning and Planning with Compressed Predictive States. CoRR abs/1312.0286 (2013)
Coauthor Index
aka: Dan Jurafsky
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-23 21:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint