Emily Allaway

I am a PhD candidate in my 4th year at Columbia University, working with Prof. Kathy McKeown. I am interested in Natural Language Processing and have been working on projects broadly related to relation extraction, stance detection, and semantics (e.g., connotations). Over the past summer, I was an intern at AI2 on the MOSAIC team, working with Jena Hwang and Chandra Bhagavatula. I have also been an intern at Amazon Science, working with Miguel Ballesteros.
My CV is here.

I did my candidacy exam on "Domain Adaptation and Stance Detection", my slides are here.

Before coming to Columbia, I was an undergraduate researcher at the University of Washington with Prof. Yejin Choi, working on commonsense knowledge. I majored in computer science and mathematics, with a minor in Ancient Greek.


I co-orgnaize the NLP seminar at Columbia with Fei-Tzin Lee.



Contact: eallaway@cs.columbia.edu

Publications

  • Does Putting a Linguist in the Loop Improve NLU Data Collection?
    Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, and Samuel R. Bowman.
    Findings EMNLP 2021.
    [pdf]
  • Human Rationales as Attribution Priors for Explainable Stance Detection
    Sahil Jayaram and Emily Allaway.
    EMNLP 2021.
    [pdf]
  • Sequential Cross-Document Coreference Resolution
    Emily Allaway, Shuai Wang, and Miguel Ballesteros.
    EMNLP 2021.
    [pdf]
  • Adversarial Learning for Zero-Shot Stance Detection on Social Media
    Emily Allaway*, Malavika Srikanth*, and Kathleen McKeown.
    NAACL 2021.
    [pdf] [code and data]
  • A Unified Feature Representation for Lexical Connotations
    Emily Allaway and Kathleen McKeown.
    EACL 2021.
    [pdf] [code and data] [poster]
  • Event-Guided Denoising for Multilingual Relation Learning
    Amith Ananthram, Emily Allaway, Kathleen McKeown.
    COLING 2020.
    [pdf] [code]
  • Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
    Emily Allaway and Kathleen McKeown.
    EMNLP 2020.
    [pdf] [code and data] [poster]
  • GAIA at SM-KBP2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System
    Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro Szekely, T.K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel Rodriguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang.
    TAC 2019.
    [pdf]
  • ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
    Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A Smith, and Yejin Choi.
    AAAI 2019.
    [pdf] [Project Page]
  • GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System
    Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro Szekely, T.K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel Rodriguez, Daisy Zhe Wang.
    In TAC 2018.
    [pdf]
  • Event2Mind: Commonsense Inference on Events, Intents, and Reactions
    Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith and Yejin Choi
    ACL 2018.
    [pdf] [Project Page]

* denotes equal contribution

Teaching

  • Head Teaching Assistant: COMS 4705 - Introduction to Natural Language Processing
    Columbia University (Spring 2021)
  • Teaching Assistant: COMS 4705 - Introduction to Natural Language Processing
    Columbia University (Fall 2019)
  • Teaching Assistant Student Coordinator: CSE 14X - Computer Programming I and II
    University of Washington (Winter 2017, Spring 2017, Fall 2017)
  • Teaching Assistant: CSE 142 - Computer Programming I
    University of Washington (Spring 2015, Fall 2015, Winter 2016, Spring 2016, Fall 2016)

Advising

As an undergraduate student, I had wonderful graduate students as mentors and collaborators (Hannah Rashkin, Maarten Sap) and I am happy to work with dedicated undergraduate and masters students. Currently, I work with the following students:

Past students:

  • Sahil Jayaram (Sept. 2020 - May 2021)
  • William Chiu (Jan. 2021 - May 2021) (co-advised with Elsbeth Turcan and Amith Ananthram)
  • Amith Ananthram (Jan. 2020 - Dec. 2020) --> PhD @ Columbia
  • Malavika Srikanth (Jan. 2020 - Dec. 2020) --> Amazon
  • Yuncong Yang (Jan. 2020 - May 2020)

Misc

In my spare time I like to travel, play music, and have recently started ballroom dancing.