Publications

Peer Reviewed Conference and Journal Publications

  1. Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks.
    Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, and Soroush Vosoughi
    ACL 2021

    Ma, W., Zhang, K., Lou, R., Wang, L., & Vosoughi, S. (2021). Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 1956–1966. https://doi.org/10.18653/v1/2021.acl-long.152

  2. Language Model Augmented Relevance Score.
    Ruibo Liu, Jason Wei, and Soroush Vosoughi
    ACL 2021

    Liu, R., Wei, J., & Vosoughi, S. (2021). Language Model Augmented Relevance Score. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 6677–6690. https://doi.org/10.18653/v1/2021.acl-long.521

  3. Modulating Language Models with Emotions.
    Ruibo Liu, Jason Wei, Chenyan Jia, and Soroush Vosoughi
    Findings of ACL 2021

    Liu, R., Wei, J., Jia, C., & Vosoughi, S. (2021). Modulating Language Models with Emotions. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 4332–4339. https://doi.org/10.18653/v1/2021.findings-acl.379

  4. Survey of Data Augmentation Approaches for NLP.
    Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy
    Findings of ACL 2021

    Feng, S., Gangal, V., Wei, J., Chandar, S., Vosoughi, S., Mitamura, T., & Hovy, E. (2021). A Survey of Data Augmentation Approaches for NLP. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 968–988. https://doi.org/10.18653/v1/2021.findings-acl.84

  5. Hyperbolic node embedding for temporal networks.
    Lili Wang, Chenghan Huang, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi
    Data Mining and Knowledge Discovery

    Wang, L., Huang, C., Ma, W., Liu, R., & Vosoughi, S. (2021). Hyperbolic node embedding for temporal networks. Data Mining and Knowledge Discovery. https://doi.org/10.1007/s10618-021-00774-4

  6. Improvements and Extensions on Metaphor Detection.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    UnImplicit @ ACL-IJCNLP 2021

    Ma, W., Liu, R., Wang, L., & Vosoughi, S. (2021). Improvements and Extensions on Metaphor Detection. Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language, 33–42. https://doi.org/10.18653/v1/2021.unimplicit-1.5

  7. BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models.
    Aadil Islam, Weicheng Ma, and Soroush Vosoughi
    SemEval @ ACL-IJCNLP 2021

    Islam, A., Ma, W., & Vosoughi, S. (2021). BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 667–677. https://doi.org/10.18653/v1/2021.semeval-1.86

  8. Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic.
    Yakoob Khan, Weicheng Ma, and Soroush Vosoughi
    SemEval @ ACL-IJCNLP 2021

    Khan, Y., Ma, W., & Vosoughi, S. (2021). Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 967–973. https://doi.org/10.18653/v1/2021.semeval-1.132

  9. Linguistic Complexity Loss in Text-Based Therapy.
    Jason Wei, Kelly Finn, Emma Templeton, Thalia Wheatley, and Soroush Vosoughi
    NAACL 2021

    Wei, J., Finn, K., Templeton, E., Wheatley, T., & Vosoughi, S. (2021). Linguistic Complexity Loss in Text-Based Therapy. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4450–4459. https://doi.org/10.18653/v1/2021.naacl-main.352

  10. Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning.
    Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, and Shiqi Xu
    NAACL 2021

    Wei, J., Huang, C., Vosoughi, S., Cheng, Y., & Xu, S. (2021). Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 5493–5500. https://doi.org/10.18653/v1/2021.naacl-main.434

  11. Text Augmentation in a Multi-Task View.
    Jason Wei, Chengyu Huang, Shiqi Xu, and Soroush Vosoughi
    EACL 2021

    Jason Wei, Chengyu Huang, Shiqi Xu and Soroush Vosoughi.(2021). Text Augmentation in a Multi-task View. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021). Online.

  12. Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles.
    Ruibo Liu, Chenyan Jia, and Soroush Vosoughi
    CSCW 2021

    Ruibo Liu, Chenyan Jia, and Soroush Vosoughi. (2021). A Transformer-Based Framework for Neutralizing and Reversing the Political Polarity of News Articles. Proceedings of the ACM on Human-Computer Interaction. 5, CSCW1, Article 65 (April 2021), 26 pages.

  13. Mitigating Political Bias in Language Models Through Reinforced Calibration. (Best paper award!)
    Ruibo Liu, Chenyan Jia, Jason Wei, Lili Wang, and Soroush Vosoughi
    AAAI 2021

    Ruibo Liu, Chenyan Jia, Jason Wei, Lili Wang, and Soroush Vosoughi. (2021). Mitigating Political Bias in Language Models Through Reinforced Calibration. Proceedings of the 35th AAAI Conference on Artificial Intelligence. Online.

  14. Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path.
    Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, and Soroush Vosoughi
    AAAI 2021

    Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, and Soroush Vosoughi. (2021). Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. Proceedings of the 35th AAAI Conference on Artificial Intelligence. Online.

  15. Political Depolarization of News Articles Using Attribute-aware Word Embeddings.
    Ruibo Liu, Lili Wang, Chenyan Jia, and Soroush Vosoughi
    ICWSM 2021

    Ruibo Liu, Lili Wang, Chenyan Jia, and Soroush Vosoughi. (2021). Political Depolarization of News Articles Using Attribute-Aware Word Embeddings. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 385-396. Online.

  16. Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation.
    Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, and Soroush Vosoughi
    EMNLP 2020

    Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, and Soroush Vosoughi. (2020). Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Online.

  17. Multi-resolution Annotations for Emoji Prediction.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    EMNLP 2020

    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi. (2020). Multi-resolution Annotations for Emoji Prediction. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Online.

  18. Multi-modal Identification of State-Sponsored Propaganda on Social Media.
    Xiaobo Guo, and Soroush Vosoughi
    ICPR 2020

    Xiaobo Guo, and Soroush Vosoughi. (2020). Multi-modal Identification of State-Sponsored Propaganda on Social Media. Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020). Online.

  19. Embedding Node Structural Role Identity into Hyperbolic Space.
    Lili Wang, Ying Lu, Chenghan Huang, and Soroush Vosoughi
    CIKM 2020

    Lili Wang, Ying Lu, Chenghan Huang, and Soroush Vosoughi. (2020). Embedding Node Structural Role Identity into Hyperbolic Space. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). Online.

  20. Social media data reveals signal for public consumer perceptions.
    Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, and Soroush Vosoughi
    ICAIF 2020

    Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, and Soroush Vosoughi. (2020). Social media data reveals signal for public consumer perceptions. Proceedings of the ACM International Conference on AI in Finance (ICAIF ’20). To appear.

  21. Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks.
    Lili Wang, Ruibo Liu, and Soroush Vosoughi
    ICMR 2020

    Lili Wang, Ruibo Liu, and Soroush Vosoughi. (2020). Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks. Proceedings of the 2020 ACM International Conference on Multimedia Retrieval (ICMR 2020). Online.

  22. An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data.
    Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi
    W-NUT @ EMNLP 2020

    Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi. (2020). An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020). Online.

  23. What Are People Asking About COVID-19? A Question Classification Dataset.
    Jerry Wei, Chengyu Huang, Soroush Vosoughi, and Jason Wei
    Workshop on NLP for COVID-19 @ ACL 2020

    Jerry Wei, Chengyu Huang, Soroush Vosoughi, and Jason Wei. (2020). What Are People Asking About COVID-19? A Question Classification Dataset. Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020. Online.

  24. Enhanced Offensive Language Detection Through Data Augmentation.
    Ruibo Liu, Guangxuan Xu, and Soroush Vosoughi
    Data Challenge @ ICWSM 2020

    Ruibo Liu, Guangxuan Xu, and Soroush Vosoughi. (2020). Enhanced Offensive Language Detection Through Data Augmentation. In ICWSM 2020 Data Challenge. Online.

  25. Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research.
    Jiachen Jiang, and Soroush Vosoughi
    FATE @ ACM Multimedia 2020

    Jiachen Jiang, and Soroush Vosoughi. (2020). Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research. Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in MultiMedia. Online.

  26. Emoji Prediction: Extensions and Benchmarking.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    WISDOM @ KDD 2020

    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi. (2020). Emoji Prediction: Extensions and Benchmarking. Proceedings of the 9th Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM ’20) at KDD 2020. Online.

  27. Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification.
    Chris Miller, and Soroush Vosoughi
    W-NUT @ EMNLP 2020

    Chris Miller, and Soroush Vosoughi. (2020). Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020). Online.

  28. Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT.
    Dylan Whang, and Soroush Vosoughi
    W-NUT @ EMNLP 2020

    Dylan Whang, and Soroush Vosoughi. (2020). Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020). Online.

  29. Style Change Detection Using BERT.
    Aarish Iyer, and Soroush Vosoughi
    PAN @ CLEF 2020

    Aarish Iyer, and Soroush Vosoughi. (2020). Style Change Detection Using BERT. In CLEF 2020 Labs and Workshops, Notebook Papers. CEUR-WS.org.. Online.

  30. Me, My Echo Chamber, and I: Introspection on Social Media Polarization. (Honorable Mentions!)
    Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, and Deb Roy
    TheWebConf (WWW) 2018

    Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, and Deb Roy. (2018). Me, My Echo Chamber, and I: Introspection on Social Media Polarization. Proceedings of the 27th International Conference on World Wide Web (The Web Conference 2018).

  31. The Spread of True and False News Online. (Cover Page)
    Soroush Vosoughi, Deb Roy, and Sinan Aral
    Science

    Soroush Vosoughi, Deb Roy, and Sinan Aral. (2018). The Spread of True and False News Online. Science 359.6380 (2018): 1146-1151.

  32. Dense home-based recordings reveal typical and atypical development of tense/aspect in a child with delayed language development.
    Iris Chin, Matthew S. Goodwin, Soroush Vosoughi, Deb Roy, and Letita R. Naigles
    Journal of Child Language

    Iris Chin, Matthew S. Goodwin, Soroush Vosoughi, Deb Roy, and Letita R. Naigles. (2018). Dense home-based recordings reveal typical and atypical development of tense/aspect in a child with delayed language development. Journal of Child Language (2018): 1-34.

  33. Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning.
    Prashanth Vijayaraghavan*, Soroush Vosoughi*, and Deb Roy. (*Equal Contribution)
    ACL 2017

    Prashanth Vijayaraghavan, Soroush Vosoughi, and Deb Roy. (2017). Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017). Vancouver, Canada.

  34. Rumor Gauge: Predicting the Veracity of Rumors on Twitter.
    Soroush Vosoughi, Mostafa ‘Neo’ Mohsenvand, and Deb Roy
    Transactions of KDD (TKDD)

    Soroush Vosoughi, Mostafa ‘Neo’ Mohsenvand, and Deb Roy. (2017). Rumor Gauge: Predicting the Veracity of Rumors on Twitter. ACM Transactions on Knowledge Discovery from Data (TKDD) 11.4 (2017): 1-36.

  35. Mapping Twitter Conversation Landscapes.
    Soroush Vosoughi*, Prashanth Vijayaraghavan*, Ann Yuan, and Deb Roy. (*Equal Contribution)
    ICWSM 2017

    Soroush Vosoughi, Prashanth Vijayaraghavan, Ann Yuan, and Deb Roy. (2017). Mapping Twitter Conversation Landscapes. Proceedings of the 11th International AAAI Conference on Weblogs and Social Media (ICWSM 2017). Montreal, Canada.

  36. TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter.
    Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, and Deb Roy
    IUI 2017 Companion

    Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, and Deb Roy. (2017). TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI) Companion, pp. 145-148. ACM, 2017.

  37. Tweet2Vec: Learning Tweet Embeddings using Character-level CNN-LSTM Encoder-Decoder.
    Soroush Vosoughi*, Prashanth Vijayaraghavan*, and Deb Roy. (*Equal Contribution)
    SIGIR 2016

    Soroush Vosoughi, Prashanth Vijayaraghavan and Deb Roy. (2016). Tweet2Vec: Learning Tweet Embeddings using Character-level CNN-LSTM Encoder-Decoder. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016). Pisa, Italy.

  38. A Semi-automatic Method for Efficient Detection of Stories on Social Media.
    Soroush Vosoughi, and Deb Roy
    ICWSM 2016

    Soroush Vosoughi, and Deb Roy. (2016). A Semi-automatic Method for Efficient Detection of Stories on Social Media. Proceedings of the 10th International AAAI Conference on Weblogs and Social Media (ICWSM 2016). Cologne, Germany.

  39. Tweet Acts: A Speech Act Classifier for Twitter.
    Soroush Vosoughi, and Deb Roy
    ICWSM 2016

    Soroush Vosoughi, and Deb Roy. (2016). Tweet Acts: A Speech Act Classifier for Twitter. Proceedings of the 10th International AAAI Conference on Weblogs and Social Media (ICWSM 2016). Cologne, Germany.

  40. Automatic Detection and Categorization of Election-Related Tweets.
    Prashanth Vijayaraghavan*, Soroush Vosoughi*, and Deb Roy. (*Equal Contribution)
    ICWSM 2016

    Prashanth Vijayaraghavan, Soroush Vosoughi, and Deb Roy. (2016). Automatic Detection and Categorization of Election-Related Tweets. Proceedings of the 10th International AAAI Conference on Weblogs and Social Media (ICWSM 2016). Cologne, Germany.

  41. DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs.
    Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, and Deb Roy
    SemEval @ NAACL-HLT 2016

    Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, and Deb Roy. (2016). DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016). San Diego, California.

  42. Human Atlas: A Tool for Mapping Social Networks.
    Martin Saveski, Eric Chu, Soroush Vosoughi, and Deb Roy
    WWW 2016 Companion

    Martin Saveski, Eric Chu, Soroush Vosoughi, and Deb Roy. (2016). Human Atlas: A Tool for Mapping Social Networks. Proceedings of the 25th International Conference on World Wide Web Companion. Montreal, Canada.

  43. Digital Stylometry: Linking Profiles Across Social Networks.
    Soroush Vosoughi, Helen Zhou, and Deb Roy
    SocInfo 2015

    Soroush Vosoughi, Helen Zhou, and Deb Roy. (2015). Digital Stylometry: Linking Profiles Across Social Networks. Proceedings of the 7th International Conference on Social Informatics (SocInfo 2015). Beijing, China.

  44. A Human-Machine Collaborative System for Identifying Rumors on Twitter.
    Soroush Vosoughi, and Deb Roy
    EASM @ ICDM 2015

    Soroush Vosoughi, and Deb Roy. (2015). A Human-Machine Collaborative System for Identifying Rumors on Twitter. Proceedings of the workshop on Event Analytics using Social Media Data (EASM) at IEEE ICDM 2015. Atlantic City, New Jersey.

  45. Enhanced Twitter Sentiment Classification Using Contextual Information.
    Soroush Vosoughi, Helen Zhou, and Deb Roy
    WASSA @ EMNLP 2015

    Soroush Vosoughi, Helen Zhou, and Deb Roy. (2015). Enhanced Twitter Sentiment Classification Using Contextual Information. Proceedings of the 6th workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) at EMNLP 2015. Lisboa, Portugal.

  46. Grounding language models in spatiotemporal context.
    Brandon C. Roy, Soroush Vosoughi, and Deb Roy
    Interspeech 2014

    Brandon C. Roy, Soroush Vosoughi, and Deb Roy. (2014). Grounding language models in spatiotemporal context. Proceedings of Interspeech 2014. Singapore.

  47. Improving automatic speech recognition through head pose driven visual grounding.
    Soroush Vosoughi
    CHI 2014

    Soroush Vosoughi. (2014). Improving automatic speech recognition through head pose driven visual grounding. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’14). ACM, New York, NY, USA, 3235-3238.

  48. A portable audio/video recorder for longitudinal study of child.
    Soroush Vosoughi, Matthew S. Goodwin, Bill Washabaugh, and Deb Roy
    ICMI 2012

    Soroush Vosoughi, Matthew S. Goodwin, Bill Washabaugh, and Deb Roy. (2012). A portable audio/video recorder for longitudinal study of child development. Proceedings of the 14th ACM International Conference on Multimodal Interaction (ICMI ’12). ACM, New York, NY, USA, 193-200.

  49. An Automatic Child-Directed Speech Detector for the Study of Child Language Development.
    Soroush Vosoughi, and Deb Roy
    Interspeech 2012

    Soroush Vosoughi, and Deb Roy. (2012). An Automatic Child-Directed Speech Detector for the Study of Child Language Development. Proceedings of Interspeech 2012. Portland, Oregon.

  50. A longitudinal study of prosodic exaggeration in child-directed speech.
    Soroush Vosoughi, and Deb Roy
    Speech Prosody 2012

    Soroush Vosoughi, and Deb Roy. (2012). A longitudinal study of prosodic exaggeration in child-directed speech. Proceedings of the 6th International Conference on Speech Prosody. Shanghai, China.

  51. Automatic Estimation of Transcription Accuracy and Difficulty.
    Brandon C. Roy*, Soroush Vosoughi*, and Deb Roy. (*Equal Contribution)
    Interspeech 2010

    Brandon C. Roy, Soroush Vosoughi, and Deb Roy. (2010). Automatic Estimation of Transcription Accuracy and Difficulty. Proceedings of Interspeech 2010. Makuhari, Japan.

  52. Contributions of Prosodic and Distributional Features of Caregivers’ Speech in Early Word Learning.
    Soroush Vosoughi, Brandon C. Roy, Michael C. Frank, and Deb Roy
    CogSci 2010

    Soroush Vosoughi, Brandon C. Roy, Michael C. Frank, and Deb Roy. (2010). Contributions of Prosodic and Distributional Features of Caregivers’ Speech in Early Word Learning. Proceedings of the 32nd Annual Cognitive Science Conference. Portland, Oregon.

  53. Effects of Caregiver Prosody on Child Language Acquisition.
    Soroush Vosoughi, Brandon C. Roy, Michael C. Frank, and Deb Roy
    Speech Prosody 2010

    Soroush Vosoughi, Brandon C. Roy, Michael C. Frank, and Deb Roy. (2010). Effects of Caregiver Prosody on Child Language Acquisition. Proceedings of the 5th International Conference on Speech Prosody. Chicago, IL.

  54. Object Schemas for Grounding Language in a Responsive Robot.
    Kai-yuh Hsiao, Stefanie Tellex, Soroush Vosoughi, Rony Kubat, and Deb Roy
    Connection Science

    Kai-yuh Hsiao, Stefanie Tellex, Soroush Vosoughi, Rony Kubat, and Deb Roy. (2008). Object Schemas for Grounding Language in a Responsive Robot. Connection Science 20.4 (2008): 253-276.

  55. Object Schemas for Responsive Robotic Language Use.
    Kai-yuh Hsiao, Soroush Vosoughi, Stefanie Tellex, Rony Kubat, and Deb Roy
    HRI 2008

    Kai-yuh Hsiao, Soroush Vosoughi, Stefanie Tellex, Rony Kubat, and Deb Roy. (2008). Object Schemas for Responsive Robotic Language Use. Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction.

  56. Peer Reviewed Abstracts

  57. Data Science Approach to Evaluate County Trends in Obesity Diplomate Accessibility Over Time.
    Catherine C. Pollack, Tracy Onega, Jennifer A. Emond, Soroush Vosoughi, James A. O'Malley, and Diane Gilbert-Diamond
    Annual Meeting of The Obesity Society 2020

    Catherine C. Pollack, Tracy Onega, Jennifer A. Emond, Soroush Vosoughi, James A. O'Malley, and Diane Gilbert-Diamond. (2020). Data Science Approach to Evaluate County Trends in Obesity Diplomate Accessibility Over Time. Abstract at ObesityWeek2020 (the 38th annual meeting of The Obesity Society). Online, November 2020. https://doi.org/10.1002/oby.23063

  58. Assessing countrywide socio-economic deprivations using auxiliary data sets.
    Neeti Pokhriyal, Soroush Vosoughi
    AI in Africa for Sustainable Economic Development 2020

    Neeti Pokhriyal, Soroush Vosoughi. (2020). Assessing countrywide socio-economic deprivations using auxiliary data sets. Workshop on AI in Africa for Sustainable Economic Development at ICAIF 2020. Online.

  59. Addressing the Demographic Bias on Twitter.
    Soroush Vosoughi, Russell Stevens, and Deb Roy
    AAPOR 2016

    Soroush Vosoughi, Russell Stevens, and Deb Roy. (2016). Addressing the Demographic Bias on Twitter. The 71st Annual Conference of the American Association for Public Opinion Research (AAPOR). Austin, Texas.

  60. Analyzing & Understanding Food Networks.
    Helen Zhou, Deb Roy, Soroush Vosoughi
    EECScon 2016

    Helen Zhou, Deb Roy, and Soroush Vosoughi. (2016). Analyzing & Understanding Food Networks. EECScon conference. Cambridge, MA.

  61. Dense Data Collection Through the Speechome Recorder Better Reveals Developmental Trajectories.
    Iris Chin, Soroush Vosoughi, Mathew Goodwin, Deb Roy and Letitia Naigles
    IMFAR 2013

    Iris Chin, Soroush Vosoughi, Mathew Goodwin, Deb Roy and Letitia Naigles. (2013). Dense Data Collection Through the Speechome Recorder Better Reveals Developmental Trajectories. In the Extended Abstract of the International Meeting for Autism Research (IMFAR) 2013. San Sebastian, Spain.

  62. Verb use in a child previously diagnosed with ASD: Dense recordings reveal typical and atypical development.
    Iris Chin, Soroush Vosoughi, Emily Potrzeba, Mathew Goodwin, Deb Roy, and Letitia Naigles
    SRCD 2013

    Iris Chin, Soroush Vosoughi, Emily Potrzeba, Mathew Goodwin, Deb Roy and Letitia Naigles. (2013). Verb use in a child previously diagnosed with ASD: Dense recordings reveal typical and atypical development. In the Extended Abstract of the Biennial Meeting of the Society for Research in Child Development (SRCD) 2013. Seattle, Washington.

  63. Dense Recordings of Naturalistic Interactions Reveal both Typical and Atypical Speech in One Child with ASD.
    Iris Chin, Devin Rubin, Andrea Tovar, Soroush Vosoughi, Michelle Cheng, Emily Potrzeba, Mathew Goodwin, Deb Roy, and Letitia Naigles
    IMFAR 2012

    Iris Chin, Devin Rubin, Andrea Tovar, Soroush Vosoughi, Michelle Cheng, Emily Potrzeba, Mathew Goodwin, Deb Roy and Letitia Naigles. (2012). Dense Recordings of Naturalistic Interactions Reveal both Typical and Atypical Speech in One Child with ASD. In the Extended Abstract of the International Meeting for Autism Research (IMFAR) 2012 . Toronto, Canada.

  64. Commentaries

  65. Tackling misinformation: What researchers could do with social media data.
    Irene V. Pasquetto, Briony Swire-Thompson, Michelle A. Amazeen, Fabrício Benevenuto, Nadia M. Brashier, Robert M. Bond, Lia C. Bozarth, Ceren Budak, Ullrich K. H. Ecker, Lisa K. Fazio, Emilio Ferrara, Andrew J. Flanagin, Alessandro Flammini, Deen Freelon, Nir Grinberg, Ralph Hertwig, Kathleen Hall Jamieson, Kenneth Joseph, Jason J. Jones, R. Kelly Garrett, Daniel Kreiss, Shannon McGregor, Jasmine McNealy, Drew Margolin, Alice Marwick, FiIippo Menczer, Miriam J. Metzger, Seungahn Nah, Stephan Lewandowsky, Philipp Lorenz-Spreen, Pablo Ortellado, Gordon Pennycook, Ethan Porter, David G. Rand, Ronald Robertson, Francesca Tripodi, Soroush Vosoughi, Chris Vargo, Onur Varol, Brian E. Weeks, John Wihbey, Thomas J. Wood, & Kai-Cheng Yang
    The Harvard Kennedy School (HKS) Misinformation Review

    Pasquetto, I., Swire-Thompson, B., Amazeen, M.A., Benevenuto, F., Brashier, N.M., Bond, R.M., Bozarth, L.C., Budak, C., Ecker, U.K.H. , Fazio, L.K., Ferrara, E., Flanagin, A.J., Flammini, A., Freelon, D., Grinberg, N., Hertwig, R., Jamieson, K.H., Joseph, K., Jones, J.J. ... Yang, K.C. (2020). Tackling misinformation: What researchers could do with social media data. Harvard Kennedy School (HKS) Misinformation Review, 1(8). https://doi.org/10.37016/mr-2020-49

  66. Non-peer-reviewed Publications

  67. Feature Selection for Multivariate Time Series via Network Pruning
    Kang Gu, Soroush Vosoughi, and Temiloluwa Prioleau
    arXiv

    Kang Gu, Soroush Vosoughi, and Temiloluwa Prioleau (2021). Feature Selection for Multivariate Time Series via Network Pruning. arXiv preprint arXiv:2102.06024 (2021).

  68. Query-Free Adversarial Transfer via Undertrained Surrogates
    Chris Miller and Soroush Vosoughi
    arXiv

    Chris Miller and Soroush Vosoughi (2020). Query-Free Adversarial Transfer via Undertrained Surrogates. arXiv preprint arXiv:2007.00806 (2020).

  69. Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    arXiv

    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi (2020). Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding. arXiv preprint arXiv:2009.14445 (2020).

  70. The Object Schema Model and Situational Context.
    Kai-yuh Hsiao and Soroush Vosoughi

    Kai-yuh Hsiao and Soroush Vosoughi. (2009). The Object Schema Model and Situational Context.