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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) - 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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