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2020 – today
- 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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