HOVY, DIRK
 Distribuzione geografica
Continente #
EU - Europa 4.624
NA - Nord America 3.596
AS - Asia 1.415
SA - Sud America 29
AF - Africa 17
OC - Oceania 13
Continente sconosciuto - Info sul continente non disponibili 8
Totale 9.702
Nazione #
US - Stati Uniti d'America 3.423
IT - Italia 1.044
IE - Irlanda 922
DE - Germania 902
CN - Cina 548
GB - Regno Unito 458
UA - Ucraina 319
TR - Turchia 234
SE - Svezia 213
SG - Singapore 202
FR - Francia 181
RU - Federazione Russa 164
CA - Canada 158
FI - Finlandia 130
VN - Vietnam 85
IN - India 80
HK - Hong Kong 79
IL - Israele 65
CZ - Repubblica Ceca 64
BG - Bulgaria 42
NL - Olanda 30
CH - Svizzera 29
JP - Giappone 26
IR - Iran 23
DK - Danimarca 19
BE - Belgio 17
RO - Romania 17
ES - Italia 14
AT - Austria 13
KR - Corea 13
AU - Australia 12
MX - Messico 12
BR - Brasile 10
SC - Seychelles 9
AE - Emirati Arabi Uniti 8
EU - Europa 8
ID - Indonesia 8
PH - Filippine 8
PT - Portogallo 8
SK - Slovacchia (Repubblica Slovacca) 8
MY - Malesia 6
PL - Polonia 6
BD - Bangladesh 5
HU - Ungheria 5
NO - Norvegia 5
PK - Pakistan 5
AR - Argentina 4
CL - Cile 4
KG - Kirghizistan 4
MT - Malta 4
PE - Perù 4
EC - Ecuador 3
AZ - Azerbaigian 2
BO - Bolivia 2
CR - Costa Rica 2
EG - Egitto 2
GE - Georgia 2
GR - Grecia 2
LK - Sri Lanka 2
LT - Lituania 2
LU - Lussemburgo 2
MA - Marocco 2
TH - Thailandia 2
TW - Taiwan 2
VE - Venezuela 2
ZA - Sudafrica 2
AM - Armenia 1
BY - Bielorussia 1
DZ - Algeria 1
EE - Estonia 1
HR - Croazia 1
JM - Giamaica 1
JO - Giordania 1
KH - Cambogia 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 1
NZ - Nuova Zelanda 1
SA - Arabia Saudita 1
SI - Slovenia 1
UG - Uganda 1
Totale 9.702
Città #
Dublin 905
Frankfurt am Main 593
Ann Arbor 410
Chandler 402
Milan 385
Houston 322
Jacksonville 269
Southend 227
Ashburn 204
Toronto 142
Izmir 137
Beijing 131
Helsinki 120
Singapore 120
Woodbridge 120
Wilmington 104
Dearborn 97
Boardman 89
Boston 77
Lawrence 74
Fairfield 71
Dong Ket 70
Hong Kong 64
New York 64
Modena 63
Seattle 63
Redwood City 50
Ladispoli 48
Mumbai 44
Rome 43
Brno 41
Cambridge 30
Mountain View 29
London 28
Munich 27
Los Angeles 26
Philadelphia 23
Mainz 21
Nanjing 21
Braunschweig 20
Grafing 20
Chicago 18
Hefei 18
Redmond 16
Robbiate 16
Zurich 16
Brussels 13
Bucharest 13
Norwalk 13
Washington 13
Edison 12
Paris 12
Guangzhou 11
Kunming 11
Palombara Sabina 11
Shanghai 11
Vienna 11
Fremont 10
Tokyo 10
Delhi 9
Turin 9
Bratislava 8
Lappeenranta 8
Mexico City 8
Xi'an 8
Amsterdam 7
Bonndorf 7
Darmstadt 7
Dubai 7
Falls Church 7
Jinan 7
Nuremberg 7
Pavia 7
Tavagnacco 7
Udine 7
Acton 6
Bolzano 6
Buffalo 6
Casorate Primo 6
Falkenstein 6
Geelong 6
Heidenau 6
Nanchang 6
Ottawa 6
Oxford 6
Serra 6
Sheffield 6
Skodstrup 6
Street 6
Trento 6
Trieste 6
Utrecht 6
Bologna 5
Cabanatuan City 5
Hounslow 5
Landshut 5
Moscow 5
Naples 5
Napoli 5
Nola 5
Totale 6.291
Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 285
Capturing regional variation with distributed place representations and geographic retrofitting 268
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 224
Visualizing regional language variation across Europe on Twitter 207
Challenges of studying and processing dialects in social media 195
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 195
User review sites as a resource for large-scale sociolinguistic studies 182
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 177
More or less supervised supersense tagging of Twitter 174
Geolocation with attention-based multitask learning models 164
Dense node representation for geolocation 161
Identifying linguistic areas for geolocation 155
Comparing Bayesian models of annotation 153
Text analysis in Python for social scientists: discovery and exploration 152
Models and training for unsupervised preposition sense disambiguation 150
Increasing in-class similarity by retrofitting embeddings with demographic information 149
Text analysis in Python for social scientists : prediction and classification 147
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 145
The social and the neural network: how to make natural language processing about people again 144
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 143
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 142
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 135
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 133
Linguistically debatable or just plain wrong? 130
Experiments with crowdsourced re-annotation of a POS tagging data set 128
The rating game: sentiment rating reproducibility from text 128
Crowdsourcing and annotating NER for Twitter# drift 127
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 127
The social impact of natural language processing 126
What’s in a p-value in NLP? 125
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 123
Tagging performance correlates negatively with author age 122
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 122
Disambiguation of preposition sense using linguistically motivated features 119
Analysis and modeling of "focus" in context 117
HONEST: measuring hurtful sentence completion in language models 117
Unsupervised discovery of domain-specific knowledge from text 115
When POS data sets don’t add up: Combatting sample bias 115
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 114
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 112
Demographic factors improve classification performance 111
Learning whom to trust with MACE 110
Learning a POS tagger for AAVE-like language 110
FEEL-IT: emotion and sentiment classification for the Italian language 110
Identifying metaphorical word use with tree kernels 108
Cross-lingual syntactic variation over age and gender 108
End-to-end information extraction without token-level supervision 104
Augmenting English adjective senses with supersenses 102
Adapting taggers to Twitter with not-so-distant supervision 101
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 100
How Well can We Learn Interpretable Entity Types from Text? 100
A case for soft loss functions 100
Cross-lingual contextualized topic models with zero-shot learning 98
Unsupervised mining of lexical variants from noisy text 96
Multitask learning for mental health conditions with limited social media data 96
Solving electrical networks to incorporate supervision in random walks 92
When did that happen? Linking events and relations to timestamps 88
Five sources of bias in natural language processing 88
“You sound just like your father”. Commercial machine translation systems include stylistic biases 85
MilaNLP @ WASSA: does BERT feel sad when you cry? 84
Learning part-of-speech taggers with inter-annotator agreement loss 82
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 82
BERTective: language models and contextual information for deception detection 79
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages 74
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 69
Predictive biases in natural language processing models: a conceptual framework and overview 67
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 65
On the gap between adoption and understanding in NLP 64
Gender and age bias in commercial machine translation 63
“We will reduce taxes” - Identifying election pledges with language models 63
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 62
Viewpoint: Artificial Intelligence accidents waiting to happen? 58
Wordify: a tool for discovering and differentiating consumer vocabularies 58
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 54
We need to consider disagreement in evaluation 53
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 52
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 49
Entropy-based attention regularization frees unintended bias mitigation from lists 47
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 46
Universal joy: a data set and results for classifying emotions across languages 44
Learning from disagreement: a survey 43
Data-efficient strategies for expanding hate speech detection into under-resourced languages 42
Bridging fairness and environmental sustainability in natural language processing 41
The importance of modeling social factors of language: theory and practice 41
SafetyKit: first aid for measuring safety in open-domain conversational systems 39
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 36
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 35
Language invariant properties in Natural Language Processing 34
Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender 34
Two contrasting data annotation paradigms for subjective NLP tasks 33
XLM-EMO: multilingual emotion prediction in social media text 32
SocioProbe: what, when, and where language models learn about sociodemographics 32
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 31
Twitter-demographer: a flow-based tool to enrich Twitter data 27
Pipelines for social bias testing of large language models 26
Guiding the release of safer E2E conversational AI through value sensitive design 22
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 20
Beyond the stats: realities, perception, and social media discourse on poverty 20
Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation 18
Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP) 18
Totale 9.893
Categoria #
all - tutte 47.609
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 47.609


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.131 0 0 0 0 0 221 325 149 101 137 119 79
2020/20211.285 72 113 162 80 163 62 145 78 106 106 85 113
2021/2022981 59 199 17 58 96 98 44 105 72 38 102 93
2022/20232.974 209 195 169 312 227 190 91 148 1.170 102 84 77
2023/20241.987 104 122 130 107 215 199 177 229 75 90 196 343
2024/2025586 84 77 167 71 140 47 0 0 0 0 0 0
Totale 10.025