Lara J. Martin

Human-Centered Computing PhD candidate at Georgia Tech

How to say Lara: /'lɑɹ.ə/

I teach computers how to tell stories (also known as automated story generation).
More generally, I do Human-Centered Artificial Intelligence with a focus on natural language. I look at how humans communicate and design/create artificially intelligent agents to leverage that.
Professionally interested in cognition and computational creativity; personally interested in AI equity.
My pronouns are she/her.

I am excited to announce that I am a Computing Innovation Fellow! Starting January 2021, I will join Dr. Chris Callison-Burch as a postdoc at the University of Pennsylvania!

CVCV (updated 3/9/20)

  • Online

    Email:
  • In Person

    CODA Tech Square, S1125F
    Georgia Intitute of Technology
    Atlanta, GA

News

Publications

[2014] [2015] [2016] [2017] [2018] [2019] [2020]

2020

  • P Ammanabrolu, E Tien, W Cheung, Z Luo, W Ma, LJ Martin, and MO Riedl. Story Realization: Expanding Plot Events into Sentences, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY. (official proceedings, arXiv, poster, code, slides)

2019

  • P Tambwekar*, M Dhuliawala*, LJ Martin, A Mehta, B Harrison, and MO Riedl. Controllable Neural Story Plot Generation via Reinforcement Learning, Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China. (official proceedings, arXiv, slides, poster)
  • P Ammanabrolu, E Tien, W Cheung, Z Luo, W Ma, LJ Martin, and MO Riedl. Guided Neural Language Generation for Automated Storytelling, The Second Workshop of Storytelling (StoryNLP) at ACL 2019, Florence, Italy. (official proceedings, slides)

2018

  • LJ Martin, S Sood, and MO Riedl. Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games, AAAI Workshop on Intelligent Narrative Technologies (INT), Edmonton, AB, Canada. (pdf, slides)
  • LJ Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, and MO Riedl. Event Representations for Automated Story Generation with Deep Neural Nets, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA. (official proceedings, arXiv, poster, code)

2017

  • LJ Martin, P Ammanabrolu, X Wang, S Singh, B Harrison, M Dhuliawala, P Tambwekar, A Mehta, R Arora, N Dass, C Purdy, and MO Riedl. Improvisational Storytelling Agents, NeurIPS 2017 Workshop on Machine Learning for Creativity and Design, Long Beach, CA. (official proceedings, poster)
  • LJ Martin, P Ammanabrolu, W Hancock, S Singh, B Harrison, and MO Riedl. Event Representations for Automated Story Generation with Deep Neural Nets, KDD 2017 Workshop on Machine Learning for Creativity, Halifax, NS, Canada. (arXiv, slides)

2016

  • LJ Martin, B Harrison, MO Riedl. Improvisational Computational Storytelling in Open Worlds, Ninth International Conference on Interactive Digital Storytelling (ICIDS 2016) / INT 9, Los Angeles, CA. (pdf)

2015

  • LJ Martin, A Wilkinson, SS Miryala, V Robison, AW Black. Utterance Classification in Speech-to-Speech Translation for Zero-Resource Languages in the Hospital Administration Domain, 2015 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2015), Scottsdale, AZ. (pdf)

2014

  • L Martin, M Stone, F Metze, J Mostow. A Methodology for Using Crowdsourced Data to Measure Uncertainty in Natural Speech. 2014 IEEE Spoken Language Technology Workshop (SLT 2014), South Lake Tahoe, NV. (pdf)
  • S Moon, S Potdar, L Martin. Identifying Student Leaders from MOOC Discussion Forums through Language Influence. EMNLP 2014 Workshop on Analysis of Large Scale Social Interaction in MOOCs, Doha, Qatar. (official proceedings)
  • S Cosentino, S Burger, L Martin, F Metze, T Kishi, K Hashimoto, S Sessa, M Zecca, A Takanishi. A multisensory non-invasive system for laughter analysis. 36th Annual International IEEE EMBS Conference, Chicago, IL. (pdf)
  • N Wolfe, VV Vemuri, LJ Martin, F Metze, AW Black. Applause: A Learning Tool for Low-Resource Languages. Designing Speech and Language Interactions Workshop (CHI 2014), Toronto, Canada. (pdf)
  • S Yu, L Jiang, Z Mao, X Chang, X Du, C Gan, Z Lan, Z Xu, X Li, Y Cai, A Kumar, Y Miao, L Martin, N Wolfe, S Xu, H Li, M Lin, Z Ma, Y Yang, D Meng, S Shan, PD Sahin, S Burger, F Metze, R Singh, B Raj, T Mitamura, R Stern, A Hauptmann. Informedia@ TRECVID 2014 MED and MER. TrecVID 2014, University of Central Florida, Orlando, FL. (pdf)

Brief Bio

My research interests include:
  • computational creativity,
  • interactive narrative & narrative generation,
  • prosody & emotion (affective computing),
  • dialog & conversational agents,
  • and cognitive systems.

I am currently pursuing a PhD in Human-Centered Computing in the School of Interactive Computing at the Georgia Institute of Technology. I work with Dr. Mark Riedl in the Entertainment Intelligence Lab doing automated story generation.

In 2018, I received the Tech to Teaching certificate, and that summer I was instructor of record for Intro to Cognitive Science.

I have an MS in Language Technologies from LTI at Carnegie Mellon University in their School of Computer Science. I received my BS in Computer Science and Linguistics from Rutgers University — New Brunswick.

I have had summer research opportunities at Amazon in their Alexa Smart Home Machine Learning team and the University of Southern California's Institute for Creative Technologies (USC ICT) with the Virtual Patient Project.

One of my non-research passions is in educating children about computer science and technology — especially getting young girls interested, and I try to find as many local outreach opportunities as I can.

I enjoy playing computer games and board games, petting dogs, hiking, SCUBA diving, playing piano and accordion, collecting accents, and doing random craft projects.

Random Side Projects