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Ameeta Agrawal
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2020 – today
- 2024
- [j1]Nastaran Babanejad
, Heidar Davoudi
, Ameeta Agrawal, Aijun An
, Manos Papagelis
:
The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Trans. Affect. Comput. 15(1): 254-272 (2024) - [c21]Yufei Tao, Ameeta Agrawal, Judit Dombi, Tetyana Sydorenko, Jung In Lee:
ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness. LREC/COLING 2024: 3133-3145 - [c20]Philippe J. Giabbanelli, Atharva Phatak, Vijay Mago, Ameeta Agrawal:
Narrating Causal Graphs with Large Language Models. HICSS 2024: 7530-7539 - [i11]Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis
:
Predicting Evoked Emotions in Conversations. CoRR abs/2401.00383 (2024) - [i10]Yufei Tao, Tiernan Mines, Ameeta Agrawal:
Making a Long Story Short in Conversation Modeling. CoRR abs/2402.00143 (2024) - [i9]Atharva Phatak, Vijay K. Mago, Ameeta Agrawal, Aravind Inbasekaran, Philippe J. Giabbanelli:
Narrating Causal Graphs with Large Language Models. CoRR abs/2403.07118 (2024) - [i8]Yufei Tao, Ameeta Agrawal, Judit Dombi, Tetyana Sydorenko, Jung In Lee:
ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness. CoRR abs/2403.18121 (2024) - [i7]Sina Bagheri Nezhad, Ameeta Agrawal:
What Drives Performance in Multilingual Language Models? CoRR abs/2404.19159 (2024) - [i6]Olubusayo Olabisi, Ameeta Agrawal:
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization. CoRR abs/2405.01790 (2024) - 2023
- [c19]Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, Varun Uppala:
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration. DSAA 2023: 1-10 - [c18]Amila Ferron, Amber Shore, Ekata Mitra, Ameeta Agrawal:
MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings. EMNLP (Findings) 2023: 2078-2100 - [c17]Mahmoud Alsaeed, Ameeta Agrawal, Manos Papagelis
:
Trajectory-User Linking using Higher-order Mobility Flow Representations. MDM 2023: 158-167 - [c16]Rhitabrat Pokharel, Ameeta Agrawal:
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples. *SEM@ACL 2023: 409-416 - [c15]Ameeta Agrawal, Suresh Singh
:
Corpus Complexity Matters in Pretraining Language Models. SustaiNLP 2023: 257-263 - [c14]Justin J. Xie, Ameeta Agrawal:
Emotion and Sentiment Guided Paraphrasing. WASSA@ACL 2023: 58-70 - [e1]Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, Ameeta Agrawal:
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023, Toronto, Canada (Hybrid), July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-79-1 [contents] - [i5]Rhitabrat Pokharel, Ameeta Agrawal:
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples. CoRR abs/2306.01206 (2023) - [i4]Justin J. Xie, Ameeta Agrawal:
Emotion and Sentiment Guided Paraphrasing. CoRR abs/2306.05556 (2023) - [i3]Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis:
Conversation Derailment Forecasting with Graph Convolutional Networks. CoRR abs/2306.12982 (2023) - [i2]Sina Bagheri Nezhad, Ameeta Agrawal:
mBBC: Exploring the Multilingual Maze. CoRR abs/2310.05404 (2023) - [i1]Rhitabrat Pokharel, Ameeta Agrawal:
Generating Continuations in Multilingual Idiomatic Contexts. CoRR abs/2310.20195 (2023) - 2022
- [c13]Olubusayo Olabisi, Aaron Hudson, Antonie J. Jetter, Ameeta Agrawal:
Analyzing the Dialect Diversity in Multi-document Summaries. COLING 2022: 6208-6221 - 2021
- [c12]Ameeta Agrawal, Suresh Singh
, Lauren Schneider, Michael Samuels:
On the Role of Corpus Ordering in Language Modeling. SustaiNLP@EMNLP 2021: 142-154 - [c11]Vikram Nagapudi, Ameeta Agrawal, Nirupama Bulusu:
Extracting Physical Events from Digital Chatter for Covid-19. SMARTCOMP 2021: 398-400 - 2020
- [c10]Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis:
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. ACL 2020: 5799-5810 - [c9]Ameeta Agrawal, Aijun An, Manos Papagelis
:
Leveraging Transitions of Emotions for Sarcasm Detection. SIGIR 2020: 1505-1508
2010 – 2019
- 2019
- [c8]Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis:
Leveraging Emotion Features in News Recommendations. INRA@RecSys 2019: 70-78 - 2018
- [c7]Ameeta Agrawal, Aijun An, Manos Papagelis:
Learning Emotion-enriched Word Representations. COLING 2018: 950-961 - [c6]Ameeta Agrawal, Aijun An:
Affective Representations for Sarcasm Detection. SIGIR 2018: 1029-1032 - 2016
- [c5]Ameeta Agrawal, Aijun An:
Selective Co-occurrences for Word-Emotion Association. COLING 2016: 1579-1590 - [c4]Ameeta Agrawal, Raghavender Sahdev, Heidar Davoudi, Forouq Khonsari, Aijun An, Susan McGrath:
Detecting the Magnitude of Events from News Articles. WI 2016: 177-184 - 2014
- [c3]Ameeta Agrawal, Aijun An:
Kea: Sentiment Analysis of Phrases Within Short Texts. SemEval@COLING 2014: 380-384 - 2013
- [c2]Ameeta Agrawal, Aijun An:
Kea: Expression-level Sentiment Analysis from Twitter Data. SemEval@NAACL-HLT 2013: 530-534 - [p1]Nikolay Yakovets, Ameeta Agrawal:
SimpLe: Lexical Simplification using Word Sense Disambiguation. Computational Approaches to Assistive Technologies for People with Disabilities 2013: 131-138 - 2012
- [c1]Ameeta Agrawal, Aijun An:
Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations. Web Intelligence 2012: 346-353
Coauthor Index
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last updated on 2024-06-10 21:27 CEST by the dblp team
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