IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 8.853
NA - Nord America 7.268
AS - Asia 4.331
SA - Sud America 644
Continente sconosciuto - Info sul continente non disponibili 395
AF - Africa 159
OC - Oceania 21
Totale 21.671
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Nazione #
US - Stati Uniti d'America 6.929
RU - Federazione Russa 2.235
IT - Italia 1.414
CN - Cina 1.277
FI - Finlandia 1.219
SG - Singapore 1.079
DE - Germania 1.059
IE - Irlanda 930
VN - Vietnam 571
GB - Regno Unito 567
BR - Brasile 492
FR - Francia 399
UA - Ucraina 330
HK - Hong Kong 294
TR - Turchia 258
SE - Svezia 236
CA - Canada 234
IN - India 161
IL - Israele 109
KR - Corea 106
ID - Indonesia 100
ZA - Sudafrica 97
BD - Bangladesh 78
CZ - Repubblica Ceca 68
NL - Olanda 64
JP - Giappone 61
MX - Messico 53
ES - Italia 46
AR - Argentina 44
BG - Bulgaria 44
IQ - Iraq 41
PL - Polonia 41
CH - Svizzera 35
AT - Austria 32
PK - Pakistan 31
CO - Colombia 29
IR - Iran 24
EC - Ecuador 23
DK - Danimarca 22
PH - Filippine 20
VE - Venezuela 20
BE - Belgio 19
RO - Romania 18
AE - Emirati Arabi Uniti 17
MY - Malesia 16
AU - Australia 14
JM - Giamaica 14
PT - Portogallo 13
CL - Cile 12
MA - Marocco 12
PE - Perù 11
SK - Slovacchia (Repubblica Slovacca) 10
CR - Costa Rica 9
DZ - Algeria 9
SC - Seychelles 9
TH - Thailandia 9
DO - Repubblica Dominicana 8
EG - Egitto 8
EU - Europa 8
JO - Giordania 8
KZ - Kazakistan 8
AZ - Azerbaigian 7
HU - Ungheria 7
KG - Kirghizistan 7
LT - Lituania 7
SA - Arabia Saudita 7
UZ - Uzbekistan 7
GR - Grecia 6
NZ - Nuova Zelanda 6
PA - Panama 6
GE - Georgia 5
NO - Norvegia 5
NP - Nepal 5
PY - Paraguay 5
TN - Tunisia 5
EE - Estonia 4
GT - Guatemala 4
HR - Croazia 4
KE - Kenya 4
MT - Malta 4
OM - Oman 4
RS - Serbia 4
SY - Repubblica araba siriana 4
AM - Armenia 3
BO - Bolivia 3
BY - Bielorussia 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
SV - El Salvador 2
TT - Trinidad e Tobago 2
TW - Taiwan 2
AL - Albania 1
Totale 21.258
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Città #
Helsinki 1.183
Dublin 912
Ashburn 816
San Jose 758
Frankfurt am Main 641
Milan 551
Moscow 472
Singapore 451
Hefei 449
Dallas 432
Ann Arbor 410
Chandler 403
Houston 339
Beijing 296
Jacksonville 270
Hong Kong 269
Southend 227
Council Bluffs 199
Ho Chi Minh City 164
Toronto 148
New York 140
Izmir 138
Edison 137
The Dalles 129
Boardman 124
Woodbridge 120
Hanoi 113
Los Angeles 113
Lauterbourg 108
Wilmington 104
Dearborn 97
Boston 92
Seoul 89
Johannesburg 78
Jakarta 74
Lawrence 74
Seattle 72
Fairfield 71
Dong Ket 70
Munich 69
Modena 65
Rome 65
Buffalo 58
Mumbai 50
Redwood City 50
Ladispoli 48
São Paulo 46
Chicago 45
London 45
Tel Aviv 45
Tokyo 42
Brno 41
Montreal 37
Orem 34
Santa Clara 34
Cambridge 32
Warsaw 32
Chennai 31
Nuremberg 30
Mexico City 29
Mountain View 29
Brooklyn 27
Da Nang 27
Amsterdam 26
Denver 26
Düsseldorf 26
Philadelphia 26
Stockholm 24
Haiphong 23
Phoenix 22
Washington 22
Lappeenranta 21
Mainz 21
Nanjing 21
Braunschweig 20
Grafing 20
Paris 20
Belo Horizonte 19
Rio de Janeiro 19
Zurich 19
Vienna 18
Manchester 17
Poplar 17
Baghdad 16
Redmond 16
Robbiate 16
Atlanta 14
Brussels 14
Guangzhou 14
Newark 14
North Bergen 14
San Francisco 14
Brasília 13
Bucharest 13
Dhaka 13
Figino 13
Norwalk 13
Shanghai 13
Turin 13
Memphis 12
Totale 13.006
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Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 418
Capturing regional variation with distributed place representations and geographic retrofitting 368
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 345
User review sites as a resource for large-scale sociolinguistic studies 342
Challenges of studying and processing dialects in social media 338
Visualizing regional language variation across Europe on Twitter 336
Comparing Bayesian models of annotation 323
Identifying linguistic areas for geolocation 316
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 314
Geolocation with attention-based multitask learning models 305
Increasing in-class similarity by retrofitting embeddings with demographic information 297
Dense node representation for geolocation 295
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 287
More or less supervised supersense tagging of Twitter 276
HONEST: measuring hurtful sentence completion in language models 253
Text analysis in Python for social scientists: discovery and exploration 252
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 251
FEEL-IT: emotion and sentiment classification for the Italian language 248
Cross-lingual contextualized topic models with zero-shot learning 247
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 243
Models and training for unsupervised preposition sense disambiguation 241
The social and the neural network: how to make natural language processing about people again 238
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 236
Linguistically debatable or just plain wrong? 225
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 223
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 211
A case for soft loss functions 208
Analysis and modeling of "focus" in context 204
Text analysis in Python for social scientists : prediction and classification 202
MilaNLP @ WASSA: does BERT feel sad when you cry? 200
Beyond the stats: realities, perception, and social media discourse on poverty 198
Cross-lingual syntactic variation over age and gender 198
Entropy-based attention regularization frees unintended bias mitigation from lists 197
The social impact of natural language processing 197
Five sources of bias in natural language processing 196
Augmenting English adjective senses with supersenses 193
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 191
Adapting taggers to Twitter with not-so-distant supervision 190
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 189
Tagging performance correlates negatively with author age 186
Learning from disagreement: a survey 183
Experiments with crowdsourced re-annotation of a POS tagging data set 182
What’s in a p-value in NLP? 180
Crowdsourcing and annotating NER for Twitter# drift 180
“You sound just like your father”. Commercial machine translation systems include stylistic biases 180
The rating game: sentiment rating reproducibility from text 175
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 175
Disambiguation of preposition sense using linguistically motivated features 172
When POS data sets don’t add up: Combatting sample bias 171
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 171
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 170
BERTective: language models and contextual information for deception detection 170
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 167
Learning whom to trust with MACE 167
DADIT: a dataset for demographic classification of Italian Twitter users and a comparison of prediction methods 165
On the gap between adoption and understanding in NLP 165
Unsupervised discovery of domain-specific knowledge from text 164
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models 163
Gender and age bias in commercial machine translation 162
Identifying metaphorical word use with tree kernels 162
How Well can We Learn Interpretable Entity Types from Text? 162
Viewpoint: Artificial Intelligence accidents waiting to happen? 160
Learning a POS tagger for AAVE-like language 160
Demographic factors improve classification performance 160
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 159
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 158
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 157
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 157
Unsupervised mining of lexical variants from noisy text 156
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 155
End-to-end information extraction without token-level supervision 154
“We will reduce taxes” - Identifying election pledges with language models 154
Proceedings of Safety4ConvAI: The Third Workshop on Safety for Conversational AI @ LREC-COLING 2024 153
Multitask learning for mental health conditions with limited social media data 152
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 152
We need to consider disagreement in evaluation 149
Bridging fairness and environmental sustainability in natural language processing 145
When did that happen? Linking events and relations to timestamps 144
Solving electrical networks to incorporate supervision in random walks 144
Data-efficient strategies for expanding hate speech detection into under-resourced languages 142
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution 141
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions 141
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 141
SafetyKit: first aid for measuring safety in open-domain conversational systems 141
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models 140
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 139
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 139
Language invariant properties in Natural Language Processing 138
Two contrasting data annotation paradigms for subjective NLP tasks 138
Wisdom of instruction-tuned language model crowds. Exploring model label variation 135
SocioProbe: what, when, and where language models learn about sociodemographics 135
The ecological fallacy in annotation: modeling human label variation goes beyond sociodemographics 131
Learning part-of-speech taggers with inter-annotator agreement loss 130
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 130
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 128
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 127
Can demographic factors improve text classification? Revisiting demographic adaptation in the age of transformers 125
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features 125
Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) 124
Respectful or toxic? Using zero-shot learning with language models to detect hate speech 122
Totale 19.344
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Categoria #
all - tutte 86.000
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 86.000
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
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
2024/20253.114 84 77 167 71 140 122 344 303 976 267 275 288
2025/20268.717 683 934 352 655 581 369 1.107 788 1.974 986 191 97
2026/2027401 401 0 0 0 0 0 0 0 0 0 0 0
Totale 21.671