IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 8.728
NA - Nord America 6.895
AS - Asia 4.257
SA - Sud America 633
AF - Africa 157
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 9
Totale 20.700
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Nazione #
US - Stati Uniti d'America 6.574
RU - Federazione Russa 2.212
IT - Italia 1.345
CN - Cina 1.264
FI - Finlandia 1.199
SG - Singapore 1.067
DE - Germania 1.057
IE - Irlanda 930
GB - Regno Unito 566
VN - Vietnam 565
BR - Brasile 484
FR - Francia 397
UA - Ucraina 328
HK - Hong Kong 284
TR - Turchia 258
SE - Svezia 236
CA - Canada 229
IN - India 159
IL - Israele 107
KR - Corea 106
ID - Indonesia 98
ZA - Sudafrica 96
CZ - Repubblica Ceca 68
NL - Olanda 64
JP - Giappone 61
BD - Bangladesh 52
MX - Messico 50
ES - Italia 45
AR - Argentina 44
BG - Bulgaria 44
IQ - Iraq 41
PL - Polonia 41
CH - Svizzera 35
AT - Austria 32
PK - Pakistan 31
CO - Colombia 28
IR - Iran 24
DK - Danimarca 22
EC - Ecuador 22
PH - Filippine 20
VE - Venezuela 20
BE - Belgio 19
RO - Romania 18
AE - Emirati Arabi Uniti 17
MY - Malesia 16
AU - Australia 14
MA - Marocco 12
PT - Portogallo 12
CL - Cile 11
PE - Perù 11
JM - Giamaica 10
SC - Seychelles 9
SK - Slovacchia (Repubblica Slovacca) 9
TH - Thailandia 9
CR - Costa Rica 8
DO - Repubblica Dominicana 8
DZ - Algeria 8
EG - Egitto 8
EU - Europa 8
JO - Giordania 8
KZ - Kazakistan 8
AZ - Azerbaigian 7
KG - Kirghizistan 7
LT - Lituania 7
SA - Arabia Saudita 7
HU - Ungheria 6
NZ - Nuova Zelanda 6
PA - Panama 6
UZ - Uzbekistan 6
GE - Georgia 5
GR - Grecia 5
NO - Norvegia 5
NP - Nepal 5
PY - Paraguay 5
TN - Tunisia 5
EE - Estonia 4
HR - Croazia 4
KE - Kenya 4
MT - Malta 4
OM - Oman 4
SY - Repubblica araba siriana 4
AM - Armenia 3
BO - Bolivia 3
BY - Bielorussia 3
GT - Guatemala 3
RS - Serbia 3
UY - Uruguay 3
AO - Angola 2
LB - Libano 2
LK - Sri Lanka 2
LU - Lussemburgo 2
MM - Myanmar 2
NG - Nigeria 2
NI - Nicaragua 2
SI - Slovenia 2
SN - Senegal 2
TW - Taiwan 2
AL - Albania 1
BH - Bahrain 1
BJ - Benin 1
Totale 20.675
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Città #
Helsinki 1.164
Dublin 912
Ashburn 799
San Jose 749
Frankfurt am Main 640
Milan 529
Moscow 466
Hefei 448
Singapore 443
Dallas 429
Ann Arbor 410
Chandler 403
Houston 337
Beijing 289
Jacksonville 270
Hong Kong 259
Southend 227
Ho Chi Minh City 163
Toronto 147
New York 139
Izmir 138
Edison 136
The Dalles 128
Boardman 123
Woodbridge 120
Hanoi 111
Lauterbourg 108
Los Angeles 107
Wilmington 104
Dearborn 97
Boston 92
Seoul 89
Johannesburg 77
Jakarta 74
Lawrence 74
Fairfield 71
Seattle 71
Dong Ket 70
Munich 69
Modena 65
Rome 57
Buffalo 56
Mumbai 50
Redwood City 50
Ladispoli 48
São Paulo 46
London 45
Chicago 43
Tel Aviv 43
Tokyo 42
Brno 41
Montreal 36
Orem 34
Council Bluffs 33
Cambridge 32
Warsaw 32
Chennai 31
Nuremberg 30
Mountain View 29
Santa Clara 29
Da Nang 27
Amsterdam 26
Denver 26
Mexico City 26
Düsseldorf 25
Stockholm 24
Brooklyn 23
Haiphong 23
Philadelphia 23
Lappeenranta 21
Mainz 21
Nanjing 21
Washington 21
Braunschweig 20
Grafing 20
Paris 20
Phoenix 20
Belo Horizonte 19
Zurich 19
Vienna 18
Manchester 17
Poplar 17
Rio de Janeiro 17
Baghdad 16
Redmond 16
Robbiate 16
Brussels 14
Guangzhou 14
Newark 14
North Bergen 14
Brasília 13
Bucharest 13
Dhaka 13
Norwalk 13
San Francisco 13
Shanghai 13
Turin 13
Memphis 12
Atlanta 11
Curitiba 11
Totale 12.677
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Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 409
Capturing regional variation with distributed place representations and geographic retrofitting 364
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 343
User review sites as a resource for large-scale sociolinguistic studies 339
Challenges of studying and processing dialects in social media 338
Visualizing regional language variation across Europe on Twitter 333
Comparing Bayesian models of annotation 320
Identifying linguistic areas for geolocation 313
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 310
Geolocation with attention-based multitask learning models 302
Increasing in-class similarity by retrofitting embeddings with demographic information 295
Dense node representation for geolocation 294
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 286
More or less supervised supersense tagging of Twitter 274
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 250
Text analysis in Python for social scientists: discovery and exploration 249
HONEST: measuring hurtful sentence completion in language models 241
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 239
FEEL-IT: emotion and sentiment classification for the Italian language 239
Models and training for unsupervised preposition sense disambiguation 237
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 233
The social and the neural network: how to make natural language processing about people again 233
Linguistically debatable or just plain wrong? 222
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 221
Cross-lingual contextualized topic models with zero-shot learning 216
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 211
A case for soft loss functions 204
Analysis and modeling of "focus" in context 203
Text analysis in Python for social scientists : prediction and classification 198
MilaNLP @ WASSA: does BERT feel sad when you cry? 194
Five sources of bias in natural language processing 193
Augmenting English adjective senses with supersenses 192
The social impact of natural language processing 191
Beyond the stats: realities, perception, and social media discourse on poverty 190
Adapting taggers to Twitter with not-so-distant supervision 190
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 190
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 188
Entropy-based attention regularization frees unintended bias mitigation from lists 187
Tagging performance correlates negatively with author age 186
Experiments with crowdsourced re-annotation of a POS tagging data set 182
What’s in a p-value in NLP? 179
Crowdsourcing and annotating NER for Twitter# drift 179
“You sound just like your father”. Commercial machine translation systems include stylistic biases 178
Learning from disagreement: a survey 177
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 173
The rating game: sentiment rating reproducibility from text 172
When POS data sets don’t add up: Combatting sample bias 170
Disambiguation of preposition sense using linguistically motivated features 170
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 169
BERTective: language models and contextual information for deception detection 167
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 166
Learning whom to trust with MACE 165
Unsupervised discovery of domain-specific knowledge from text 164
On the gap between adoption and understanding in NLP 162
DADIT: a dataset for demographic classification of Italian Twitter users and a comparison of prediction methods 160
Identifying metaphorical word use with tree kernels 160
Cross-lingual syntactic variation over age and gender 160
How Well can We Learn Interpretable Entity Types from Text? 159
Learning a POS tagger for AAVE-like language 159
Viewpoint: Artificial Intelligence accidents waiting to happen? 158
Gender and age bias in commercial machine translation 158
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 157
Demographic factors improve classification performance 157
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 157
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models 156
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 155
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 155
Unsupervised mining of lexical variants from noisy text 154
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 153
Proceedings of Safety4ConvAI: The Third Workshop on Safety for Conversational AI @ LREC-COLING 2024 152
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 151
End-to-end information extraction without token-level supervision 151
“We will reduce taxes” - Identifying election pledges with language models 149
Multitask learning for mental health conditions with limited social media data 148
We need to consider disagreement in evaluation 146
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 146
Bridging fairness and environmental sustainability in natural language processing 144
When did that happen? Linking events and relations to timestamps 143
Solving electrical networks to incorporate supervision in random walks 141
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 139
Data-efficient strategies for expanding hate speech detection into under-resourced languages 139
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 138
Language invariant properties in Natural Language Processing 138
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions 137
SafetyKit: first aid for measuring safety in open-domain conversational systems 137
Two contrasting data annotation paradigms for subjective NLP tasks 136
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 135
SocioProbe: what, when, and where language models learn about sociodemographics 134
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models 133
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution 130
Learning part-of-speech taggers with inter-annotator agreement loss 129
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 129
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 128
The ecological fallacy in annotation: modeling human label variation goes beyond sociodemographics 127
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 126
Wisdom of instruction-tuned language model crowds. Exploring model label variation 125
Can demographic factors improve text classification? Revisiting demographic adaptation in the age of transformers 122
Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) 121
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages 120
Missing information, unresponsive authors, experimental flaws: the impossibility of assessing the reproducibility of previous human evaluations in NLP 120
Totale 18.962
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Categoria #
all - tutte 81.942
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 81.942
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021113 0 0 0 0 0 0 0 0 0 0 0 113
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
2024/20253.099 84 77 167 71 140 122 343 302 974 261 273 285
2025/20268.545 678 923 348 654 578 367 1.102 778 1.942 974 189 12
Totale 21.083