IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 5.895
NA - Nord America 5.453
AS - Asia 3.462
SA - Sud America 575
AF - Africa 65
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 9
Totale 15.480
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Nazione #
US - Stati Uniti d'America 5.172
IT - Italia 1.250
CN - Cina 1.207
DE - Germania 1.032
IE - Irlanda 926
SG - Singapore 885
RU - Federazione Russa 743
GB - Regno Unito 544
BR - Brasile 451
UA - Ucraina 324
FR - Francia 273
HK - Hong Kong 271
TR - Turchia 254
SE - Svezia 234
CA - Canada 213
VN - Vietnam 212
FI - Finlandia 149
IN - India 123
IL - Israele 109
KR - Corea 100
ID - Indonesia 91
CZ - Repubblica Ceca 66
NL - Olanda 53
JP - Giappone 50
BG - Bulgaria 44
MX - Messico 43
AR - Argentina 39
ES - Italia 38
PL - Polonia 37
CH - Svizzera 32
AT - Austria 31
ZA - Sudafrica 28
CO - Colombia 25
IR - Iran 23
BD - Bangladesh 22
DK - Danimarca 22
EC - Ecuador 20
BE - Belgio 18
RO - Romania 18
PK - Pakistan 16
AU - Australia 14
AE - Emirati Arabi Uniti 13
VE - Venezuela 13
IQ - Iraq 11
MY - Malesia 11
PH - Filippine 11
PT - Portogallo 11
PE - Perù 9
SC - Seychelles 9
SK - Slovacchia (Repubblica Slovacca) 9
CL - Cile 8
EU - Europa 8
MA - Marocco 7
HU - Ungheria 6
JM - Giamaica 6
KG - Kirghizistan 6
LT - Lituania 6
NZ - Nuova Zelanda 6
AZ - Azerbaigian 5
CR - Costa Rica 5
GR - Grecia 5
NO - Norvegia 5
PA - Panama 5
UZ - Uzbekistan 5
DO - Repubblica Dominicana 4
EE - Estonia 4
EG - Egitto 4
GE - Georgia 4
JO - Giordania 4
KE - Kenya 4
KZ - Kazakistan 4
MT - Malta 4
SA - Arabia Saudita 4
AM - Armenia 3
BO - Bolivia 3
DZ - Algeria 3
OM - Oman 3
PY - Paraguay 3
TH - Thailandia 3
UY - Uruguay 3
GT - Guatemala 2
HR - Croazia 2
LK - Sri Lanka 2
LU - Lussemburgo 2
NP - Nepal 2
RS - Serbia 2
SN - Senegal 2
TW - Taiwan 2
AO - Angola 1
BH - Bahrain 1
BJ - Benin 1
BY - Bielorussia 1
CG - Congo 1
CW - ???statistics.table.value.countryCode.CW??? 1
DM - Dominica 1
GA - Gabon 1
GF - Guiana Francese 1
HT - Haiti 1
IS - Islanda 1
KH - Cambogia 1
Totale 15.467
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Città #
Dublin 908
Ashburn 625
Frankfurt am Main 618
Milan 494
Hefei 449
Dallas 424
Ann Arbor 410
Chandler 402
Singapore 353
Houston 336
Beijing 281
Jacksonville 270
Hong Kong 251
Southend 227
Moscow 198
Toronto 146
Izmir 138
Helsinki 120
Woodbridge 120
New York 115
Boardman 111
The Dalles 111
Wilmington 104
Dearborn 97
Los Angeles 96
Boston 91
Seoul 89
Lawrence 74
Fairfield 71
Dong Ket 70
Jakarta 70
Munich 69
Seattle 69
Modena 65
Buffalo 54
Ho Chi Minh City 50
Redwood City 50
Rome 50
Ladispoli 48
Mumbai 48
Tel Aviv 45
São Paulo 43
London 42
Brno 41
Chicago 39
Hanoi 33
Cambridge 32
Tokyo 32
Montreal 31
Mountain View 29
Warsaw 28
Nuremberg 27
Düsseldorf 26
Mexico City 26
Denver 24
Philadelphia 23
Santa Clara 23
Stockholm 22
Brooklyn 21
Chennai 21
Mainz 21
Nanjing 21
Braunschweig 20
Grafing 20
Lappeenranta 19
Washington 19
Amsterdam 18
Paris 17
Phoenix 17
Rio de Janeiro 17
Vienna 17
Redmond 16
Robbiate 16
Zurich 16
Johannesburg 15
Brussels 14
Orem 14
Poplar 14
Belo Horizonte 13
Bucharest 13
Manchester 13
Norwalk 13
Brasília 12
Edison 12
Guangzhou 12
North Bergen 12
San Francisco 12
Shanghai 12
Kunming 11
Palombara Sabina 11
Trento 11
Assago 10
Baie-D'Urfé 10
Charlotte 10
Curitiba 10
Fremont 10
Turin 10
Atlanta 9
Bexley 9
Bogotá 9
Totale 9.535
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Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 353
Capturing regional variation with distributed place representations and geographic retrofitting 312
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 298
User review sites as a resource for large-scale sociolinguistic studies 297
Visualizing regional language variation across Europe on Twitter 275
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 270
Challenges of studying and processing dialects in social media 268
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 250
Identifying linguistic areas for geolocation 244
Comparing Bayesian models of annotation 240
Geolocation with attention-based multitask learning models 239
More or less supervised supersense tagging of Twitter 237
Dense node representation for geolocation 235
Increasing in-class similarity by retrofitting embeddings with demographic information 234
Text analysis in Python for social scientists: discovery and exploration 212
The social and the neural network: how to make natural language processing about people again 204
Models and training for unsupervised preposition sense disambiguation 203
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 201
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 193
Linguistically debatable or just plain wrong? 191
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 189
HONEST: measuring hurtful sentence completion in language models 187
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 186
FEEL-IT: emotion and sentiment classification for the Italian language 177
Text analysis in Python for social scientists : prediction and classification 173
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 171
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 160
The social impact of natural language processing 160
Five sources of bias in natural language processing 160
Experiments with crowdsourced re-annotation of a POS tagging data set 158
What’s in a p-value in NLP? 157
Analysis and modeling of "focus" in context 157
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 157
Cross-lingual contextualized topic models with zero-shot learning 155
Tagging performance correlates negatively with author age 153
Crowdsourcing and annotating NER for Twitter# drift 152
A case for soft loss functions 152
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 150
The rating game: sentiment rating reproducibility from text 149
Augmenting English adjective senses with supersenses 148
When POS data sets don’t add up: Combatting sample bias 146
Disambiguation of preposition sense using linguistically motivated features 145
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 145
MilaNLP @ WASSA: does BERT feel sad when you cry? 145
Learning whom to trust with MACE 143
Unsupervised discovery of domain-specific knowledge from text 142
Adapting taggers to Twitter with not-so-distant supervision 142
Learning a POS tagger for AAVE-like language 139
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 136
Cross-lingual syntactic variation over age and gender 135
Demographic factors improve classification performance 133
Identifying metaphorical word use with tree kernels 132
“You sound just like your father”. Commercial machine translation systems include stylistic biases 131
How Well can We Learn Interpretable Entity Types from Text? 130
Entropy-based attention regularization frees unintended bias mitigation from lists 128
Unsupervised mining of lexical variants from noisy text 126
End-to-end information extraction without token-level supervision 125
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 121
BERTective: language models and contextual information for deception detection 120
Multitask learning for mental health conditions with limited social media data 119
When did that happen? Linking events and relations to timestamps 117
Solving electrical networks to incorporate supervision in random walks 117
On the gap between adoption and understanding in NLP 114
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 111
Beyond the stats: realities, perception, and social media discourse on poverty 110
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 109
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 108
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 108
Gender and age bias in commercial machine translation 106
Learning part-of-speech taggers with inter-annotator agreement loss 106
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 105
“We will reduce taxes” - Identifying election pledges with language models 105
DADIT: a dataset for demographic classification of Italian Twitter users and a comparison of prediction methods 104
Learning from disagreement: a survey 104
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 103
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 102
Viewpoint: Artificial Intelligence accidents waiting to happen? 100
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 100
We need to consider disagreement in evaluation 100
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages 99
Proceedings of Safety4ConvAI: The Third Workshop on Safety for Conversational AI @ LREC-COLING 2024 98
Bridging fairness and environmental sustainability in natural language processing 93
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 93
SafetyKit: first aid for measuring safety in open-domain conversational systems 91
Data-efficient strategies for expanding hate speech detection into under-resourced languages 89
Predictive biases in natural language processing models: a conceptual framework and overview 88
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 88
Language invariant properties in Natural Language Processing 84
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 83
Wordify: a tool for discovering and differentiating consumer vocabularies 82
SocioProbe: what, when, and where language models learn about sociodemographics 80
Two contrasting data annotation paradigms for subjective NLP tasks 77
The ecological fallacy in annotation: modeling human label variation goes beyond sociodemographics 76
Can demographic factors improve text classification? Revisiting demographic adaptation in the age of transformers 75
Wisdom of instruction-tuned language model crowds. Exploring model label variation 74
Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) 74
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution 73
Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender 73
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 72
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models 71
Totale 14.652
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Categoria #
all - tutte 70.352
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 70.352
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021695 0 0 0 0 0 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
2024/20253.114 84 77 167 71 140 122 344 303 976 267 275 288
2025/20263.288 683 934 352 655 581 83 0 0 0 0 0 0
Totale 15.841