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Niyati Chhaya
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2020 – today
- 2024
- [j9]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Multi-task learning neural framework for categorizing sexism. Comput. Speech Lang. 83: 101535 (2024) - [c56]Saiful Haq, Ashutosh Sharma, Omar Khattab, Niyati Chhaya, Pushpak Bhattacharyya:
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages. ACL (Short Papers) 2024: 501-509 - 2023
- [c55]Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya, Sumit Shekhar:
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning. ACL (industry) 2023: 695-706 - [c54]Himanshu Maheshwari, Sumit Shekhar, Apoorv Saxena, Niyati Chhaya:
Open-World Factually Consistent Question Generation. ACL (Findings) 2023: 2390-2404 - [c53]Inderjeet Nair, Aparna Garimella, Balaji Vasan Srinivasan, Natwar Modani, Niyati Chhaya, Srikrishna Karanam, Sumit Shekhar:
A Neural CRF-based Hierarchical Approach for Linear Text Segmentation. EACL (Findings) 2023: 853-863 - [c52]Kezhen Chen, Kenneth D. Forbus, Balaji Vasan Srinivasan, Niyati Chhaya, Madeline Usher:
Sketch Recognition via Part-based Hierarchical Analogical Learning. IJCAI 2023: 2967-2974 - [c51]Md Main Uddin Rony, Fan Du, Ryan A. Rossi, Jane Hoffswell, Niyati Chhaya, Iftikhar Ahamath Burhanuddin, Eunyee Koh:
Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. WWW (Companion Volume) 2023: 77-81 - [i12]Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya, Sumit Shekhar:
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning. CoRR abs/2306.00931 (2023) - 2022
- [c50]Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya:
CaM-Gen: Causally Aware Metric-Guided Text Generation. ACL (Findings) 2022: 2047-2060 - [c49]Aparna Garimella, Abhilasha Sancheti, Vinay Aggarwal, Ananya Ganesh, Niyati Chhaya, Nandakishore Kambhatla:
Text Simplification for Legal Domain: Insights and Challenges. NLLP@EMNLP 2022: 296-304 - [c48]Praneetha Vaddamanu, Vinay Aggarwal, Bhanu Prakash Reddy Guda, Balaji Vasan Srinivasan, Niyati Chhaya:
Harmonized Banner Creation from Multimodal Design Assets. CHI Extended Abstracts 2022: 217:1-217:7 - [c47]Suryateja BV, Jeet Patel, Atharva Naik, Yash Parag Butala, Sristy Sharma, Niyati Chhaya:
Towards Enabling Synchronous Digital Creative Collaboration: Codifying Conflicts in Co-Coloring. CHI Extended Abstracts 2022: 255:1-255:7 - [c46]Vinay Aggarwal, Praneetha Vaddamanu, Bhanu Prakash Reddy Guda, Balaji Vasan Srinivasan, Niyati Chhaya, Vishwa Vinay:
NeurTEx: A Neural Framework for Template Extraction from Flat Images. CHI Extended Abstracts 2022: 408:1-408:7 - [c45]Suzanna Sia, Kokil Jaidka, Hansin Ahuja, Niyati Chhaya, Kevin Duh:
Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates. EMNLP 2022: 11939-11950 - [c44]Tripti Shukla, Aanisha Bhattacharyya, Ayudh Saxena, Jeevana Kruthi Karnuthala, Abhinav Bohra, Bhanu Prakash Reddy Guda, Abhilasha Sancheti, Niyati Chhaya:
Videos2Doc: Generating Documents from a Collection of Procedural Videos. IUI Companion 2022: 113-116 - [c43]Sravani Boinepelli, Tathagata Raha, Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Leveraging Mental Health Forums for User-level Depression Detection on Social Media. LREC 2022: 5418-5427 - [c42]Varsha Reddy, Harika Abburi, Niyati Chhaya, Tamara Mitrovska, Vasudeva Varma:
'You Are Big, S/he Is Small' Detecting Body Shaming in Online User Content. SocInfo 2022: 389-397 - 2021
- [j8]Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea:
Recognizing Emotion Cause in Conversations. Cogn. Comput. 13(5): 1317-1332 (2021) - [j7]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-Grained Multi-label Sexism Classification Using a Semi-Supervised Multi-level Neural Approach. Data Sci. Eng. 6(4): 359-379 (2021) - [j6]Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly:
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis, and Recommendation. ACM Trans. Web 15(2): 9:1-9:25 (2021) - [j5]Pulkit Parikh, Harika Abburi, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Categorizing Sexism and Misogyny through Neural Approaches. ACM Trans. Web 15(4): 17:1-17:31 (2021) - [c41]Sharmila Reddy Nangi, Niyati Chhaya, Sopan Khosla, Nikhil Kaushik, Harshit Nyati:
Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer. ACL/IJCNLP (2) 2021: 40-48 - [c40]Aparna Garimella, Akhash Amarnath, Kiran Kumar, Akash Pramod Yalla, Anandhavelu Natarajan, Niyati Chhaya, Balaji Vasan Srinivasan:
He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation. ACL/IJCNLP (Findings) 2021: 4534-4545 - [c39]Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya:
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. EACL 2021: 3072-3079 - [c38]Sharmila Reddy Nangi, Atharv Tyagi, Jay Mundra, Sagnik Mukherjee, Raj Snehal, Niyati Chhaya, Aparna Garimella:
AUTOSUMM: Automatic Model Creation for Text Summarization. EMNLP (1) 2021: 10162-10172 - [c37]Kokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle H. Ungar:
WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia. NAACL-HLT 2021: 2191-2200 - [e3]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu Sinha:
Proceedings of the 4th Workshop on Affective Content Analysis (AffCon 2021) co-located with Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), February 9, 2021. CEUR Workshop Proceedings 2897, CEUR-WS.org 2021 [contents] - [i11]Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya:
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. CoRR abs/2102.00272 (2021) - 2020
- [j4]Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [c36]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha:
Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. AffCon@AAAI 2020: 1-10 - [c35]Kokil Jaidka, Iknoor Singh, Jiahui Liu, Niyati Chhaya, Lyle H. Ungar:
A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure. AffCon@AAAI 2020: 118-129 - [c34]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification. COLING 2020: 5810-5820 - [c33]Jennifer Healey, Haoliang Wang, Niyati Chhaya:
Challenges in Recognizing Spontaneous and Intentionally Expressed Reactions to Positive and Negative Images. CVPR Workshops 2020: 1622-1630 - [c32]Kushal Chawla, Niyati Chhaya:
Session-Based Path Prediction by Combining Local and Global Content Preferences. ECIR (2) 2020: 126-132 - [c31]Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Y. Halevy, Lyle H. Ungar:
Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts. ICWSM 2020: 294-302 - [c30]Sanorita Dey, Brittany R. L. Duff, Niyati Chhaya, Wai Fu, Vishy Swaminathan, Karrie Karahalios:
Recommendation for video advertisements based on personality traits and companion content. IUI 2020: 144-154 - [c29]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-grained Multi-label Sexism Classification Using Semi-supervised Learning. WISE (2) 2020: 531-547 - [c28]Gaurav Verma, Balaji Vasan Srinivasan, Shiv Kumar Saini, Niyati Chhaya:
Modeling Causal Impact of Textual Style on a Targeted Goal. WWW (Companion Volume) 2020: 59-60 - [e2]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha:
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7, 2020. CEUR Workshop Proceedings 2614, CEUR-WS.org 2020 [contents] - [i10]Gaurav Verma, Niyati Chhaya, Vishwa Vinay:
"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers. CoRR abs/2006.03256 (2020) - [i9]Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya:
CaM-Gen: Causally-aware Metric-guided Text Generation. CoRR abs/2010.12795 (2020) - [i8]Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly:
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation. CoRR abs/2011.09754 (2020) - [i7]Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea:
Recognizing Emotion Cause in Conversations. CoRR abs/2012.11820 (2020)
2010 – 2019
- 2019
- [j3]Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [j2]Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification With Multitask Learning. IEEE Intell. Syst. 34(3): 38-43 (2019) - [c27]Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar:
Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019. AffCon@AAAI 2019: 1-11 - [c26]Kokil Jaidka, Saran Mumick, Niyati Chhaya, Lyle H. Ungar:
The CL-Aff Happiness Shared Task: Results and Key Insights. AffCon@AAAI 2019: 39-49 - [c25]Kushal Chawla, Sopan Khosla, Niyati Chhaya, Kokil Jaidka:
Pre-trained Affective Word Representations. ACII 2019: 1-7 - [c24]Kushal Chawla, Balaji Vasan Srinivasan, Niyati Chhaya:
Generating Formality-Tuned Summaries Using Input-Dependent Rewards. CoNLL 2019: 833-842 - [c23]Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh:
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. EMNLP/IJCNLP (1) 2019: 154-164 - [c22]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. EMNLP/IJCNLP (1) 2019: 1642-1652 - [c21]Kushal Chawla, Niyati Chhaya, Aman Deep Singh, Soumya Vadlamannati, Aarushi Agrawal:
Sequence learning using content and consumption patterns for user path prediction. IUI Companion 2019: 19-20 - [c20]Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya:
Metrics based content layouting. IUI Companion 2019: 121-122 - [c19]Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya:
Content-based layout optimization. IUI Workshops 2019 - [c18]Kushal Chawla, Sopan Khosla, Niyati Chhaya:
Gated Convolutional Encoder-Decoder for Semi-supervised Affect Prediction. PAKDD (1) 2019: 237-250 - [c17]Tommaso Teofili, Niyati Chhaya:
Affect Enriched Word Embeddings for News Information Retrieval. NewsIR@SIGIR 2019: 63-68 - [c16]Sopan Khosla, Niyati Chhaya, Shivam Jindal, Oindrila Saha, Milind Srivastava:
Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates. SocInfo 2019: 287-297 - [c15]Soumyadeep Roy, Niloy Ganguly, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan:
Understanding Brand Consistency from Web Content. WebSci 2019: 245-253 - [e1]Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar:
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, USA, January 27, 2019. CEUR Workshop Proceedings 2328, CEUR-WS.org 2019 [contents] - [i6]Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification with Multitask Learning. CoRR abs/1901.08014 (2019) - [i5]Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy, Niyati Chhaya, Rada Mihalcea, Alexander F. Gelbukh:
Variational Fusion for Multimodal Sentiment Analysis. CoRR abs/1908.06008 (2019) - [i4]Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh:
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. CoRR abs/1908.11540 (2019) - [i3]Tommaso Teofili, Niyati Chhaya:
Affect Enriched Word Embeddings for News Information Retrieval. CoRR abs/1909.01772 (2019) - [i2]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. CoRR abs/1910.04602 (2019) - 2018
- [j1]Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [c14]Niyati Chhaya, Kokil Jaidka, Lyle H. Ungar:
The AAAI-18 Workshop on Affective Content Analysis. AAAI Workshops 2018: 2-7 - [c13]Kokil Jaidka, Niyati Chhaya, Lyle H. Ungar:
Diachronic degradation of language models: Insights from social media. ACL (2) 2018: 195-200 - [c12]Niyati Chhaya, Kushal Chawla, Tanya Goyal, Projjal Chanda, Jaya Singh:
Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email. PEOPLES@NAACL-HTL 2018: 76-86 - [c11]Niyati Chhaya, Kokil Jaidka, Rahul Wadbude:
Predicting Email Opens with Domain-Sensitive Affect Detection. CICLing (2) 2018: 71-79 - [c10]Sopan Khosla, Niyati Chhaya, Kushal Chawla:
Aff2Vec: Affect-Enriched Distributional Word Representations. COLING 2018: 2204-2218 - [c9]Kokil Jaidka, Tanya Goyal, Niyati Chhaya:
Predicting Email and Article Clickthroughs with Domain-adaptive Language Models. WebSci 2018: 177-184 - [i1]Sopan Khosla, Niyati Chhaya, Kushal Chawla:
Aff2Vec: Affect-Enriched Distributional Word Representations. CoRR abs/1805.07966 (2018) - 2017
- [c8]Kokil Jaidka, Niyati Chhaya, Rahul Wadbude, Sanket Kedia, Manikanta Nallagatla:
BATframe: An Unsupervised Approach for Domain-Sensitive Affect Detection. CICLing (2) 2017: 20-34 - [c7]Harsh Jhamtani, Rishiraj Saha Roy, Niyati Chhaya, Eric Nyberg:
Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages. ECIR 2017: 506-512 - 2015
- [c6]Niyati Chhaya, Dhwanit Agarwal, Nikaash Puri, Paridhi Jain, Deepak Pai, Ponnurangam Kumaraguru:
EnTwine: Feature Analysis and Candidate Selection for Social User Identity Aggregation. ASONAM 2015: 1575-1576 - [c5]Harsh Jhamtani, Niyati Chhaya, Shweta Karwa, Devesh Varshney, Deepam Kedia, Vineet Gupta:
Identifying Suggestions for Improvement of Product Features from Online Product Reviews. SocInfo 2015: 112-119 - [c4]Rishiraj Saha Roy, Ritwik Sinha, Niyati Chhaya, Shiv Kumar Saini:
Probabilistic Deduplication of Anonymous Web Traffic. WWW (Companion Volume) 2015: 103-104 - 2012
- [c3]Niyati Chhaya, Tim Oates:
Joint inference of soft biometric features. ICB 2012: 466-471 - 2011
- [c2]Niyati Chhaya:
Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims. AAAI 2011 - [c1]Niyati Chhaya, Tim Oates:
Robust Face Detection in Patient Triage Images. VISAPP 2011: 326-333
Coauthor Index
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last updated on 2024-11-18 20:43 CET by the dblp team
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