default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel Preotiuc-Pietro
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c59]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- [c58]Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik:
Unsupervised Contrast-Consistent Ranking with Language Models. EACL (1) 2024: 900-914 - [c57]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 - [c56]Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua:
Modeling and Detecting Company Risks from News. NAACL (Industry Track) 2024: 63-72 - [c55]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. NAACL-HLT (Findings) 2024: 395-408 - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:44 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
