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Daniel Preotiuc-Pietro
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2020 – today
- 2024
- [c57]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media. LREC/COLING 2024: 17575-17587 - [c56]Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik:
Unsupervised Contrast-Consistent Ranking with Language Models. EACL (1) 2024: 900-914 - [c55]Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks. EACL (Findings) 2024: 1126-1137 - [i16]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Who is bragging more online? A large scale analysis of bragging in social media. CoRR abs/2403.16668 (2024) - 2023
- [c54]Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro:
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. ACL (Findings) 2023: 768-777 - [c53]Mayank Kulkarni, Daniel Preotiuc-Pietro, Karthik Radhakrishnan, Genta Indra Winata, Shijie Wu, Lingjue Xie, Shaohua Yang:
Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model. EACL 2023: 2202-2211 - [c52]Dhruv Mehra, Lingjue Xie, Ella Hofmann-Coyle, Mayank Kulkarni, Daniel Preotiuc-Pietro:
EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization. EMNLP 2023: 5538-5547 - [c51]Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. ICLR 2023 - [c50]Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Yifan Gao, Daniel Preotiuc-Pietro:
Efficient Zero-Shot Cross-lingual Inference via Retrieval. IJCNLP (2) 2023: 93-104 - [c49]Maggie Liu, Jing Wang, Daniel Preotiuc-Pietro:
Analyzing and Predicting Persistence of News Tweets. IJCNLP (1) 2023: 719-732 - [i15]Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro:
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. CoRR abs/2305.16252 (2023) - [i14]Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik:
Unsupervised Contrast-Consistent Ranking with Language Models. CoRR abs/2309.06991 (2023) - [i13]Danae Sánchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary tasks. CoRR abs/2309.07794 (2023) - [i12]Rajarshi Bhowmik, Marco Ponza, Atharva Tendle, Anant Gupta, Rebecca Jiang, Xingyu Lu, Qian Zhao, Daniel Preotiuc-Pietro:
Leveraging Contextual Information for Effective Entity Salience Detection. CoRR abs/2309.07990 (2023) - 2022
- [c48]Mounica Maddela, Mayank Kulkarni, Daniel Preotiuc-Pietro:
EntSUM: A Data Set for Entity-Centric Extractive Summarization. ACL (1) 2022: 3355-3366 - [c47]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Automatic Identification and Classification of Bragging in Social Media. ACL (1) 2022: 3945-3959 - [c46]Ella Hofmann-Coyle, Mayank Kulkarni, Lingjue Xie, Mounica Maddela, Daniel Preotiuc-Pietro:
Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders. AACL/IJCNLP (2) 2022: 326-333 - [c45]Genta Indra Winata, Shijie Wu, Mayank Kulkarni, Thamar Solorio, Daniel Preotiuc-Pietro:
Cross-lingual Few-Shot Learning on Unseen Languages. AACL/IJCNLP (1) 2022: 777-791 - [c44]Xiao Ao, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Combining Humor and Sarcasm for Improving Political Parody Detection. NAACL-HLT 2022: 1800-1807 - [e4]Nikolaos Aletras, Ilias Chalkidis, Leslie Barrett, Catalina Goanta, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop, NLLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-18-0 [contents] - [i11]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Automatic Identification and Classification of Bragging in Social Media. CoRR abs/2203.05840 (2022) - [i10]Mounica Maddela, Mayank Kulkarni, Daniel Preotiuc-Pietro:
EntSUM: A Data Set for Entity-Centric Summarization. CoRR abs/2204.02213 (2022) - [i9]Xiao Ao, Danae Sánchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Combining Humor and Sarcasm for Improving Political Parody Detection. CoRR abs/2205.03313 (2022) - [i8]Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. CoRR abs/2212.09849 (2022) - 2021
- [c43]Ravneet Arora, Chen-Tse Tsai, Daniel Preotiuc-Pietro:
Identifying Named Entities as they are Typed. EACL 2021: 976-988 - [e3]Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Catalina Goanta, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop 2021, NLLP@EMNLP 2021, Punta Cana, Dominican Republic, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-98-5 [contents] - 2020
- [c42]Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Analyzing Political Parody in Social Media. ACL 2020: 4373-4384 - [c41]Shruti Rijhwani, Daniel Preotiuc-Pietro:
Temporally-Informed Analysis of Named Entity Recognition. ACL 2020: 7605-7617 - [c40]Jing Wang, Mayank Kulkarni, Daniel Preotiuc-Pietro:
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference. ACL 2020: 8476-8488 - [c39]Tariq Alhindi, Smaranda Muresan, Daniel Preotiuc-Pietro:
Fact vs. Opinion: the Role of Argumentation Features in News Classification. COLING 2020: 6139-6149 - [c38]Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Point-of-Interest Type Inference from Social Media Text. AACL/IJCNLP 2020: 804-810 - [e2]Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Adam Meyers, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), Virtual Workshop, August 24, 2020. CEUR Workshop Proceedings 2645, CEUR-WS.org 2020 [contents] - [i7]Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Analyzing Political Parody in Social Media. CoRR abs/2004.13878 (2020) - [i6]Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Point-of-Interest Type Inference from Social Media Text. CoRR abs/2009.14734 (2020)
2010 – 2019
- 2019
- [c37]Yifan Gao, Yang Zhong, Daniel Preotiuc-Pietro, Junyi Jessy Li:
Predicting and Analyzing Language Specificity in Social Media Posts. AAAI 2019: 6415-6422 - [c36]Mounica Maddela, Wei Xu
, Daniel Preotiuc-Pietro:
Multi-task Pairwise Neural Ranking for Hashtag Segmentation. ACL (1) 2019: 2538-2549 - [c35]Alakananda Vempala, Daniel Preotiuc-Pietro:
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts. ACL (1) 2019: 2830-2840 - [c34]Daniel Preotiuc-Pietro, Rita Devlin Marier:
Analyzing Linguistic Differences between Owner and Staff Attributed Tweets. ACL (1) 2019: 2848-2853 - [c33]Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras:
Automatically Identifying Complaints in Social Media. ACL (1) 2019: 5008-5019 - [c32]Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar:
What Twitter Profile and Posted Images Reveal about Depression and Anxiety. ICWSM 2019: 236-246 - [i5]Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar:
What Twitter Profile and Posted Images Reveal About Depression and Anxiety. CoRR abs/1904.02670 (2019) - [i4]Mounica Maddela, Wei Xu, Daniel Preotiuc-Pietro:
Multi-task Pairwise Neural Ranking for Hashtag Segmentation. CoRR abs/1906.00790 (2019) - [i3]Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras:
Automatically Identifying Complaints in Social Media. CoRR abs/1906.03890 (2019) - 2018
- [c31]Daniel Preotiuc-Pietro, Lyle H. Ungar:
User-Level Race and Ethnicity Predictors from Twitter Text. COLING 2018: 1534-1545 - [c30]Isabel Cachola, Eric Holgate, Daniel Preotiuc-Pietro, Junyi Jessy Li:
Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media. COLING 2018: 2927-2938 - [c29]Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. EMNLP 2018: 1167-1172 - [c28]Eric Holgate, Isabel Cachola, Daniel Preotiuc-Pietro, Junyi Jessy Li:
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions. EMNLP 2018: 4405-4414 - [i2]Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. CoRR abs/1808.09600 (2018) - 2017
- [j3]P. K. Srijith
, Mark Hepple
, Kalina Bontcheva
, Daniel Preotiuc-Pietro
:
Sub-story detection in Twitter with hierarchical Dirichlet processes. Inf. Process. Manag. 53(4): 989-1003 (2017) - [c27]Daniel Preotiuc-Pietro, Ye Liu
, Daniel Hopkins, Lyle H. Ungar:
Beyond Binary Labels: Political Ideology Prediction of Twitter Users. ACL (1) 2017: 729-740 - [c26]Daniel Preotiuc-Pietro, Jordan Carpenter, Lyle H. Ungar:
Personality Driven Differences in Paraphrase Preference. NLP+CSS@ACL 2017: 17-26 - [c25]João Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar:
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. EACL (2) 2017: 564-571 - [c24]Daniel Preotiuc-Pietro, Sharath Chandra Guntuku, Lyle H. Ungar:
Controlling Human Perception of Basic User Traits. EMNLP 2017: 2335-2341 - [c23]Sharath Chandra Guntuku, Weisi Lin, Jordan Carpenter, Wee Keong Ng
, Lyle H. Ungar, Daniel Preotiuc-Pietro:
Studying Personality through the Content of Posted and Liked Images on Twitter. WebSci 2017: 223-227 - 2016
- [j2]Nikolaos Aletras
, Dimitrios Tsarapatsanis, Daniel Preotiuc-Pietro, Vasileios Lampos
:
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. PeerJ Comput. Sci. 2: e93 (2016) - [c22]Daniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar:
Discovering User Attribute Stylistic Differences via Paraphrasing. AAAI 2016: 3030-3037 - [c21]Lucie Flekova
, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar, Daniel Preotiuc-Pietro:
Analyzing Biases in Human Perception of User Age and Gender from Text. ACL (1) 2016 - [c20]Lucie Flekova
, Daniel Preotiuc-Pietro, Lyle H. Ungar:
Exploring Stylistic Variation with Age and Income on Twitter. ACL (2) 2016 - [c19]Daniel Preotiuc-Pietro, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar:
Studying the Dark Triad of Personality through Twitter Behavior. CIKM 2016: 761-770 - [c18]Leqi Liu, Daniel Preotiuc-Pietro, Zahra Riahi Samani, Mohsen Ebrahimi Moghaddam, Lyle H. Ungar:
Analyzing Personality through Social Media Profile Picture Choice. ICWSM 2016: 211-220 - [c17]Dean Fulgoni, Jordan Carpenter, Lyle H. Ungar, Daniel Preotiuc-Pietro:
An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. LREC 2016 - [c16]Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn:
Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. LREC 2016 - [c15]Daniel Preotiuc-Pietro, H. Andrew Schwartz, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, Lyle H. Ungar, Elisabeth Shulman:
Modelling Valence and Arousal in Facebook posts. WASSA@NAACL-HLT 2016: 9-15 - [c14]Amparo Elizabeth Cano, Daniel Preotiuc-Pietro, Danica Radovanovic, Katrin Weller, Aba-Sah Dadzie:
#Microposts2016: 6th Workshop on Making Sense of Microposts: Big things come in small packages. WWW (Companion Volume) 2016: 1041-1042 - [e1]Aba-Sah Dadzie, Daniel Preotiuc-Pietro, Danica Radovanovic, Amparo Elizabeth Cano Basave, Katrin Weller:
Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016), Montréal, Canada, April 11, 2016. CEUR Workshop Proceedings 1691, CEUR-WS.org 2016 [contents] - [i1]P. K. Srijith, Mark Hepple, Kalina Bontcheva, Daniel Preotiuc-Pietro:
Sub-Story Detection in Twitter with Hierarchical Dirichlet Processes. CoRR abs/1606.03561 (2016) - 2015
- [c13]Daniel Preotiuc-Pietro, Vasileios Lampos
, Nikolaos Aletras:
An analysis of the user occupational class through Twitter content. ACL (1) 2015: 1754-1764 - [c12]Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Gregory J. Park, Maarten Sap, Laura Smith, Victoria Tobolsky, H. Andrew Schwartz, Lyle H. Ungar:
The role of personality, age, and gender in tweeting about mental illness. CLPsych@HLT-NAACL 2015: 21-30 - [c11]Daniel Preotiuc-Pietro, Maarten Sap, H. Andrew Schwartz, Lyle H. Ungar:
Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. CLPsych@HLT-NAACL 2015: 40-45 - [c10]Lucie Flekova, Daniel Preotiuc-Pietro, Eugen Ruppert:
Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words. WASSA@EMNLP 2015: 77-84 - 2014
- [b1]Daniel Preotiuc-Pietro:
Temporal models of streaming social media data. University of Sheffield, UK, 2014 - [j1]Daniel Preotiuc-Pietro, Florentina Hristea:
Unsupervised word sense disambiguation with N-gram features. Artif. Intell. Rev. 41(2): 241-260 (2014) - [c9]Trevor Cohn, Daniel Preotiuc-Pietro, Neil D. Lawrence
:
Gaussian Processes for Natural Language Processing. ACL (Tutorial Abstracts) 2014: 1-3 - [c8]Vasileios Lampos
, Daniel Preotiuc-Pietro, Sina Samangooei, Douwe Gelling, Trevor Cohn:
Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. LTCSS@ACL 2014: 13-17 - [c7]Vasileios Lampos
, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn:
Predicting and Characterising User Impact on Twitter. EACL 2014: 405-413 - 2013
- [c6]Vasileios Lampos, Daniel Preotiuc-Pietro, Trevor Cohn:
A user-centric model of voting intention from Social Media. ACL (1) 2013: 993-1003 - [c5]Daniel Preotiuc-Pietro, Trevor Cohn:
A temporal model of text periodicities using Gaussian Processes. EMNLP 2013: 977-988 - [c4]Dominic Paul Rout, Kalina Bontcheva
, Daniel Preotiuc-Pietro, Trevor Cohn
:
Where's @wally?: a classification approach to geolocating users based on their social ties. HT 2013: 11-20 - [c3]Daniel Preotiuc-Pietro, Justin Cranshaw, Tae Yano:
Exploring venue-based city-to-city similarity measures. UrbComp@KDD 2013: 16:1-16:4 - [c2]Daniel Preotiuc-Pietro, Trevor Cohn
:
Mining user behaviours: a study of check-in patterns in location based social networks. WebSci 2013: 306-315 - 2012
- [c1]Andrea Varga, Daniel Preotiuc-Pietro, Fabio Ciravegna:
Unsupervised document zone identification using probabilistic graphical models. LREC 2012: 1610-1617
Coauthor Index
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last updated on 2024-08-14 22:19 CEST by the dblp team
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