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Alan Ritter

  • Assistant Professor, Computer Science & Engineering
  • 595 Dreese Laboratories
    2015 Neil Ave
    Columbus, OH 43210
  • 614-292-5275

Honors

  • 20180328

    Outstanding Student Organization Advisor Award.

  • 20080901-20110901

    NDSEG Fellowship.

  • 20090201

    Best Student Paper Award.

Journal Articles

2017

  • *Ji, X.; Ritter, A.; Yen, P-Y., 2017, "Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews." Journal of Biomedical Informatics 69, 33-42 - 33-42.

2016

  • Nakov, P.; Rosenthal, S.; Kiritchenko, S.; Mohammad, S.M. et al., 2016, "Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts." Language Resources and Evaluation 50, 35-65 - 35-65.

2014

  • Xu, W.; Ritter, A.; Callison-Burch, C.; Dolan, W.B. et al., 2014, "Extracting lexically divergent paraphrases from Twitter." Transactions of the Association for Computational Linguistics 2, 435-448 - 435-448.

2013

  • Ritter, A.; Zettlemoyer, L.; Mausam, ; Etzioni, O., 2013, "Modeling missing data in distant supervision for information extraction." Transactions of the Association for Computational Linguistics 1, 367-378 - 367-378.

Presentations

  • "Weakly Supervised Information Extraction for the Social Web." 2015, Presented at CLIP Seminar, University of Maryland,
  • "Weakly Supervised Information Extraction for the Social Web." 2015, Presented at School of Computer Science, Carnegie Mellon University,
  • "Weakly Supervised Information Extraction for the Social Web." 2016, Presented at Statistics Department Seminar, Ohio State University,
  • "Weakly Supervised Information Extraction for the Social Web." 2015, Presented at Machine Learning Seminar, Purdue University,
  • "Large Scale Learning for Information Extraction." 2016, Presented at University of North Carolina,
  • "Large-Scale Learning for Information Extraction." 2016, Presented at University of Edinburgh,
  • "Large-Scale Learning for Information Extraction." 2016, Presented at Tsinghua University,
  • "Large Scale Learning for Information Extraction." 2016, Presented at University of Colorado, Boulder,
  • Large-Scale Learning for Information Extraction. 2017, Presented at Midwest Machine Learning Symposium,
  • Data-Driven Conversation. 2017, Presented at Microsoft Research Faculty Summit,
  • What's so hard about Natural Language Understanding?. 2017, Presented at NIPS workshop on Learning with Limited Labeled Data,

Papers in Proceedings

2018

  • Ritter, A.L. "An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols." in NAACL. (6 2018).

2017

  • *Swamy, S.; Ritter, A.; de Marneffe, M-C. "" i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter." in EMNLP. (1 2017).
  • *Li, J.; *Monroe, W.; *Shi, T.; Ritter, A. et al. "Adversarial learning for neural dialogue generation." in EMNLP. (1 2017).
  • *Konovalov, A.; *Strauss, B.; Ritter, A.; O Connor, B. "Learning to Extract Events from Knowledge Base Revisions." in WWW. (1 2017).

2016

  • *Tabassum, J.; Ritter, A.; Xu, W. "Tweetime: A minimally supervised method for recognizing and normalizing time expressions in twitter." in Empirical Methods in Natural Language Processing. (1 2016).
  • *Li, J.; *Monroe, W.; Ritter, A.; Jurafsky, D. et al. "Deep Reinforcement Learning for Dialogue Generation." in EMNLP. (5 2016).

2015

  • *Chen, X.; Ritter, A.; Gupta, A.; Mitchell, T. "Sense discovery via co-clustering on images and text." in CVPR. (1 2015).
  • Mitchell, T.; Cohen, W.; Hruschka, E.; Pratim Talukdar, P. et al. "Never Ending Learning." in AAAI. (1 2015).
  • Ritter, A.; Wright, E.; Casey, W.; Mitchell, T. "Weakly supervised extraction of computer security events from twitter." in WWW. (1 2015).

2014

  • *Betteridge, J.; Ritter, A.; Mitchell, T.M. "Assuming Facts Are Expressed More Than Once.." in FLAIRS. (1 2014).
  • *Li, J.; Ritter, A.; Cardie, C.; Hovy, E.H. "Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts.." in EMNLP. (1 2014).
  • *Li, J.; Ritter, A.; Hovy, E.H. "Weakly Supervised User Profile Extraction from Twitter.." in ACL. (1 2014).

2013

  • Derczynski, L.; Ritter, A.; Clark, S.; Bontcheva, K. "Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data.." (1 2013).

2012

  • Xu, W.; Ritter, A.; Dolan, B.; Grishman, R. et al. "Paraphrasing for style." in Coling. (1 2012).
  • Ritter, A.; Mausam, ; Etzioni, O.; Clark, S. "Open domain event extraction from twitter." in KDD. (1 2012).

2011

  • Ritter, A.; Cherry, C.; Dolan, W.B. "Data-Driven Response Generation in Social Media." in EMNLP. (1 2011).
  • Ritter, A.; Clark, S.; Mausam, ; Etzioni, O. "Named Entity Recognition in Tweets: An Experimental Study." in EMNLP. (1 2011).

2010

  • Ritter, A.; Cherry, C.; Dolan, B. "Unsupervised modeling of Twitter conversations." in NAACL. (1 2010).
  • Ritter, A.; Mausam, ; Etzioni, O. "A latent dirichlet allocation method for selectional preferences." in ACL. (1 2010).

2009

  • Ritter, A.; Basu, S. "Learning to generalize for complex selection tasks." in IUI. (1 2009).

2008

  • Ritter, A.; Downey, D.; Soderland, S.; Etzioni, O. "It’s a contradiction—no, it’s not: a case study using functional relations." in EMNLP. (1 2008).