Unsupervised document zone identification using probabilistic graphical models. - Andrea Varga; Daniel Preotiuc-Pietro; Fabio Ciravegna (LREC, 2012)

A user-centric model of voting intention from Social Media. - Vasileios Lampos; Daniel Preotiuc-Pietro; Trevor Cohn (ACL (1), 2013)

A temporal model of text periodicities using Gaussian Processes. - Daniel Preotiuc-Pietro; Trevor Cohn (EMNLP, 2013)

Where's @wally?: a classification approach to geolocating users based on their social ties. - Dominic Paul Rout; Kalina Bontcheva; Daniel Preotiuc-Pietro; Trevor Cohn (HT, 2013)

Exploring venue-based city-to-city similarity measures. - Daniel Preotiuc-Pietro; Justin Cranshaw; Tae Yano (UrbComp@KDD, 2013)

Mining user behaviours: a study of check-in patterns in location based social networks. - Daniel Preotiuc-Pietro; Trevor Cohn (WebSci, 2013)

Gaussian Processes for Natural Language Processing. - Trevor Cohn; Daniel Preotiuc-Pietro; Neil D. Lawrence (ACL (Tutorial Abstracts), 2014)

Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. - Vasileios Lampos; Daniel Preotiuc-Pietro; Sina Samangooei; Douwe Gelling; Trevor Cohn (LTCSS@ACL, 2014)

Predicting and Characterising User Impact on Twitter. - Vasileios Lampos; Nikolaos Aletras; Daniel Preotiuc-Pietro; Trevor Cohn (EACL, 2014)

Unsupervised word sense disambiguation with N-gram features. - Daniel Preotiuc-Pietro; Florentina Hristea (Artif. Intell. Rev., 2014)

Temporal models of streaming social media data. - Daniel Preotiuc-Pietro (2014)

An analysis of the user occupational class through Twitter content. - Daniel Preotiuc-Pietro; Vasileios Lampos; Nikolaos Aletras (ACL (1), 2015)

The role of personality, age, and gender in tweeting about mental illness. - Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Gregory J. Park; Maarten Sap; Laura Smith; Victoria Tobolsky; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. - Daniel Preotiuc-Pietro; Maarten Sap; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words. - Lucie Flekova; Daniel Preotiuc-Pietro; Eugen Ruppert (WASSA@EMNLP, 2015)

Discovering User Attribute Stylistic Differences via Paraphrasing. - Daniel Preotiuc-Pietro; Wei Xu 004; Lyle H. Ungar (AAAI, 2016)

Analyzing Biases in Human Perception of User Age and Gender from Text. - Lucie Flekova; Jordan Carpenter; Salvatore Giorgi; Lyle H. Ungar; Daniel Preotiuc-Pietro (ACL (1), 2016)

Exploring Stylistic Variation with Age and Income on Twitter. - Lucie Flekova; Daniel Preotiuc-Pietro; Lyle H. Ungar (ACL (2), 2016)

Studying the Dark Triad of Personality through Twitter Behavior. - Daniel Preotiuc-Pietro; Jordan Carpenter; Salvatore Giorgi; Lyle H. Ungar (CIKM, 2016)

Analyzing Personality through Social Media Profile Picture Choice. - Leqi Liu; Daniel Preotiuc-Pietro; Zahra Riahi Samani; Mohsen Ebrahimi Moghaddam; Lyle H. Ungar (ICWSM, 2016)

An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. - Dean Fulgoni; Jordan Carpenter; Lyle H. Ungar; Daniel Preotiuc-Pietro (LREC, 2016)

Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. - Daniel Preotiuc-Pietro; P. K. Srijith; Mark Hepple; Trevor Cohn (LREC, 2016)

Modelling Valence and Arousal in Facebook posts. - Daniel Preotiuc-Pietro; H. Andrew Schwartz; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; Lyle H. Ungar; Elisabeth Shulman (WASSA@NAACL-HLT, 2016)

#Microposts2016: 6th Workshop on Making Sense of Microposts: Big things come in small packages. - Amparo Elizabeth Cano; Daniel Preotiuc-Pietro; Danica Radovanovic; Katrin Weller; Aba-Sah Dadzie (WWW (Companion Volume), 2016)

Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. - Nikolaos Aletras; Dimitrios Tsarapatsanis; Daniel Preotiuc-Pietro; Vasileios Lampos (PeerJ Comput. Sci., 2016)

Personality Driven Differences in Paraphrase Preference. - Daniel Preotiuc-Pietro; Jordan Carpenter; Lyle H. Ungar (NLP+CSS@ACL, 2017)

Beyond Binary Labels: Political Ideology Prediction of Twitter Users. - Daniel Preotiuc-Pietro; Ye Liu 002; Daniel Hopkins; Lyle H. Ungar (ACL (1), 2017)

Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. - João Sedoc; Daniel Preotiuc-Pietro; Lyle H. Ungar (EACL (2), 2017)

Controlling Human Perception of Basic User Traits. - Daniel Preotiuc-Pietro; Sharath Chandra Guntuku; Lyle H. Ungar (EMNLP, 2017)

Studying Personality through the Content of Posted and Liked Images on Twitter. - Sharath Chandra Guntuku; Weisi Lin; Jordan Carpenter; Wee Keong Ng; Lyle H. Ungar; Daniel Preotiuc-Pietro (WebSci, 2017)

Sub-story detection in Twitter with hierarchical Dirichlet processes. - P. K. Srijith; Mark Hepple; Kalina Bontcheva; Daniel Preotiuc-Pietro (Inf. Process. Manag., 2017)

Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media. - Isabel Cachola; Eric Holgate; Daniel Preotiuc-Pietro; Junyi Jessy Li (COLING, 2018)

User-Level Race and Ethnicity Predictors from Twitter Text. - Daniel Preotiuc-Pietro; Lyle H. Ungar (COLING, 2018)

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. - Salvatore Giorgi; Daniel Preotiuc-Pietro; Anneke Buffone; Daniel Rieman; Lyle H. Ungar; H. Andrew Schwartz (EMNLP, 2018)

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions. - Eric Holgate; Isabel Cachola; Daniel Preotiuc-Pietro; Junyi Jessy Li (EMNLP, 2018)

Predicting and Analyzing Language Specificity in Social Media Posts. - Yifan Gao; Yang Zhong; Daniel Preotiuc-Pietro; Junyi Jessy Li (AAAI, 2019)

Multi-task Pairwise Neural Ranking for Hashtag Segmentation. - Mounica Maddela; Wei Xu 004; Daniel Preotiuc-Pietro (ACL (1), 2019)

Analyzing Linguistic Differences between Owner and Staff Attributed Tweets. - Daniel Preotiuc-Pietro; Rita Devlin Marier (ACL (1), 2019)

Automatically Identifying Complaints in Social Media. - Daniel Preotiuc-Pietro; Mihaela Gaman; Nikolaos Aletras (ACL (1), 2019)

Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts. - Alakananda Vempala; Daniel Preotiuc-Pietro (ACL (1), 2019)

What Twitter Profile and Posted Images Reveal about Depression and Anxiety. - Sharath Chandra Guntuku; Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2019)

Analyzing Political Parody in Social Media. - Antonis Maronikolakis; Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (ACL, 2020)

Temporally-Informed Analysis of Named Entity Recognition. - Shruti Rijhwani; Daniel Preotiuc-Pietro (ACL, 2020)

Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference. - Jing Wang 069; Mayank Kulkarni; Daniel Preotiuc-Pietro (ACL, 2020)

Fact vs. Opinion: the Role of Argumentation Features in News Classification. - Tariq Alhindi; Smaranda Muresan; Daniel Preotiuc-Pietro (COLING, 2020)

Point-of-Interest Type Inference from Social Media Text. - Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (AACL/IJCNLP, 2020)

Identifying Named Entities as they are Typed. - Ravneet Arora; Chen-Tse Tsai; Daniel Preotiuc-Pietro (EACL, 2021)

Automatic Identification and Classification of Bragging in Social Media. - Mali Jin; Daniel Preotiuc-Pietro; A. Seza Dogruöz; Nikolaos Aletras (ACL (1), 2022)

EntSUM: A Data Set for Entity-Centric Extractive Summarization. - Mounica Maddela; Mayank Kulkarni; Daniel Preotiuc-Pietro (ACL (1), 2022)

Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders. - Ella Hofmann-Coyle; Mayank Kulkarni; Lingjue Xie; Mounica Maddela; Daniel Preotiuc-Pietro (AACL/IJCNLP (2), 2022)

Cross-lingual Few-Shot Learning on Unseen Languages. - Genta Indra Winata; Shijie Wu; Mayank Kulkarni; Thamar Solorio; Daniel Preotiuc-Pietro (AACL/IJCNLP (1), 2022)

Combining Humor and Sarcasm for Improving Political Parody Detection. - Xiao Ao; Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (NAACL-HLT, 2022)

EntSUM: A Data Set for Entity-Centric Summarization. - Mounica Maddela; Mayank Kulkarni; Daniel Preotiuc-Pietro (CoRR, 2022)

Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. - Genta Indra Winata; Lingjue Xie; Karthik Radhakrishnan; Shijie Wu; Xisen Jin; Pengxiang Cheng 001; Mayank Kulkarni; Daniel Preotiuc-Pietro (ACL (Findings), 2023)

Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model. - Mayank Kulkarni; Daniel Preotiuc-Pietro; Karthik Radhakrishnan; Genta Indra Winata; Shijie Wu; Lingjue Xie; Shaohua Yang (EACL, 2023)

EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization. - Dhruv Mehra; Lingjue Xie; Ella Hofmann-Coyle; Mayank Kulkarni; Daniel Preotiuc-Pietro (EMNLP, 2023)

Dataless Knowledge Fusion by Merging Weights of Language Models. - Xisen Jin; Xiang Ren 001; Daniel Preotiuc-Pietro; Pengxiang Cheng 001 (ICLR, 2023)

Analyzing and Predicting Persistence of News Tweets. - Maggie Liu; Jing Wang 069; Daniel Preotiuc-Pietro (IJCNLP (1), 2023)

Efficient Zero-Shot Cross-lingual Inference via Retrieval. - Genta Indra Winata; Lingjue Xie; Karthik Radhakrishnan; Yifan Gao; Daniel Preotiuc-Pietro (IJCNLP (2), 2023)

Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media. - Mali Jin; Daniel Preotiuc-Pietro; A. Seza Dogruöz; Nikolaos Aletras (LREC/COLING, 2024)

Unsupervised Contrast-Consistent Ranking with Language Models. - Niklas Stoehr; Pengxiang Cheng 001; Jing Wang 069; Daniel Preotiuc-Pietro; Rajarshi Bhowmik (EACL (1), 2024)

Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks. - Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (EACL (Findings), 2024)

Leveraging Contextual Information for Effective Entity Salience Detection. - Rajarshi Bhowmik; Marco Ponza; Atharva Tendle; Anant Gupta; Rebecca Jiang; Xingyu Lu; Qian Zhao; Daniel Preotiuc-Pietro (NAACL-HLT (Findings), 2024)

Modeling and Detecting Company Risks from News. - Jiaxin Pei; Soumya Vadlamannati; Liang-Kang Huang; Daniel Preotiuc-Pietro; Xinyu Hua (NAACL (Industry Track), 2024)

An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc. - Aldo Porco; Dhruv Mehra; Igor Malioutov; Karthik Radhakrishnan; Moniba Keymanesh; Daniel Preotiuc-Pietro; Sean MacAvaney; Pengxiang Cheng 001 (SIGIR, 2025)

Improving Instruct Models for Free: A Study on Partial Adaptation. - Ozan Irsoy; Pengxiang Cheng 001; Jennifer L. Chen; Daniel Preotiuc-Pietro; Shiyue Zhang 001; Duccio Pappadopulo (CoRR, 2025)

Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies. - Terrance Liu; Shuyi Wang; Daniel Preotiuc-Pietro; Yash Chandarana; Chirag Gupta (CoRR, 2025)