IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 9.071
NA - Nord America 8.754
AS - Asia 4.370
SA - Sud America 655
Continente sconosciuto - Info sul continente non disponibili 399
AF - Africa 160
OC - Oceania 21
Totale 23.430
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Nazione #
US - Stati Uniti d'America 8.357
RU - Federazione Russa 2.235
IT - Italia 1.603
CN - Cina 1.279
FI - Finlandia 1.219
SG - Singapore 1.088
DE - Germania 1.062
IE - Irlanda 931
GB - Regno Unito 577
VN - Vietnam 574
BR - Brasile 496
FR - Francia 401
UA - Ucraina 331
HK - Hong Kong 297
CA - Canada 265
TR - Turchia 258
SE - Svezia 237
IN - India 161
IL - Israele 109
KR - Corea 106
ID - Indonesia 105
ZA - Sudafrica 97
BD - Bangladesh 84
CZ - Repubblica Ceca 68
NL - Olanda 65
JP - Giappone 64
MX - Messico 56
ES - Italia 47
AR - Argentina 44
BG - Bulgaria 44
IQ - Iraq 41
PL - Polonia 41
CH - Svizzera 35
AT - Austria 33
CO - Colombia 33
PK - Pakistan 31
EC - Ecuador 26
IR - Iran 24
DK - Danimarca 22
PH - Filippine 22
RO - Romania 20
VE - Venezuela 20
BE - Belgio 19
JM - Giamaica 19
AE - Emirati Arabi Uniti 18
MY - Malesia 17
AU - Australia 14
CR - Costa Rica 14
PT - Portogallo 13
CL - Cile 12
MA - Marocco 12
PE - Perù 11
SC - Seychelles 10
SK - Slovacchia (Repubblica Slovacca) 10
DZ - Algeria 9
TH - Thailandia 9
DO - Repubblica Dominicana 8
EE - Estonia 8
EG - Egitto 8
EU - Europa 8
HN - Honduras 8
JO - Giordania 8
KG - Kirghizistan 8
KZ - Kazakistan 8
SA - Arabia Saudita 8
AZ - Azerbaigian 7
HU - Ungheria 7
LT - Lituania 7
UZ - Uzbekistan 7
GR - Grecia 6
NP - Nepal 6
NZ - Nuova Zelanda 6
PA - Panama 6
GE - Georgia 5
NO - Norvegia 5
PY - Paraguay 5
RS - Serbia 5
TN - Tunisia 5
AM - Armenia 4
GT - Guatemala 4
HR - Croazia 4
KE - Kenya 4
MT - Malta 4
OM - Oman 4
SY - Repubblica araba siriana 4
TT - Trinidad e Tobago 4
BO - Bolivia 3
BY - Bielorussia 3
NI - Nicaragua 3
SV - El Salvador 3
UY - Uruguay 3
AL - Albania 2
AO - Angola 2
GP - Guadalupe 2
LB - Libano 2
LK - Sri Lanka 2
LU - Lussemburgo 2
MM - Myanmar 2
NG - Nigeria 2
SI - Slovenia 2
Totale 23.009
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Città #
Helsinki 1.183
Ashburn 1.071
Dublin 912
San Jose 875
Frankfurt am Main 641
Milan 626
Moscow 472
Singapore 459
Dallas 452
Hefei 449
Ann Arbor 410
Chandler 403
Council Bluffs 376
Houston 345
Beijing 297
Hong Kong 272
Jacksonville 271
Southend 227
Ho Chi Minh City 165
New York 159
Toronto 154
Edison 138
Izmir 138
Los Angeles 129
The Dalles 129
Boardman 125
Woodbridge 120
Columbus 118
Hanoi 115
Lauterbourg 108
Wilmington 104
Chicago 100
Dearborn 97
Boston 95
Seoul 89
Phoenix 83
Seattle 79
Johannesburg 78
Jakarta 75
Lawrence 75
Fairfield 71
Dong Ket 70
Munich 69
Rome 68
Modena 67
Buffalo 60
Mumbai 50
Redwood City 50
Ladispoli 48
London 47
São Paulo 46
Tel Aviv 45
Tokyo 45
Santa Clara 44
Montreal 42
Brno 41
Orem 36
Cambridge 33
Brooklyn 32
Warsaw 32
Chennai 31
Denver 31
Mexico City 31
Secaucus 31
Nuremberg 30
Mountain View 29
Philadelphia 29
Amsterdam 27
Da Nang 27
Atlanta 26
Düsseldorf 26
Stockholm 25
Haiphong 23
Washington 22
Lappeenranta 21
Mainz 21
Miano 21
Nanjing 21
Paris 21
Braunschweig 20
Grafing 20
Belo Horizonte 19
Rio de Janeiro 19
Vienna 19
Zurich 19
North Bergen 18
San Francisco 18
Manchester 17
Poplar 17
Turin 17
Baghdad 16
Newark 16
Redmond 16
Robbiate 16
Naples 15
Brasília 14
Brussels 14
Guangzhou 14
Pittsburgh 14
Bologna 13
Totale 14.054
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Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 432
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 409
Capturing regional variation with distributed place representations and geographic retrofitting 379
Challenges of studying and processing dialects in social media 360
User review sites as a resource for large-scale sociolinguistic studies 355
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 355
Visualizing regional language variation across Europe on Twitter 348
Comparing Bayesian models of annotation 335
Identifying linguistic areas for geolocation 328
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 328
Geolocation with attention-based multitask learning models 320
Dense node representation for geolocation 314
Increasing in-class similarity by retrofitting embeddings with demographic information 308
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 304
More or less supervised supersense tagging of Twitter 288
Text analysis in Python for social scientists: discovery and exploration 268
HONEST: measuring hurtful sentence completion in language models 267
Cross-lingual contextualized topic models with zero-shot learning 263
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 261
FEEL-IT: emotion and sentiment classification for the Italian language 261
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 256
The social and the neural network: how to make natural language processing about people again 252
Models and training for unsupervised preposition sense disambiguation 250
Linguistically debatable or just plain wrong? 238
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 231
Temporal and Second Language Influence on Intra-Annotator Agreement and Stability in Hate Speech Labelling 220
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 219
A case for soft loss functions 217
Beyond the stats: realities, perception, and social media discourse on poverty 214
Entropy-based attention regularization frees unintended bias mitigation from lists 213
Analysis and modeling of "focus" in context 213
Text analysis in Python for social scientists : prediction and classification 211
Cross-lingual syntactic variation over age and gender 209
MilaNLP @ WASSA: does BERT feel sad when you cry? 209
Five sources of bias in natural language processing 205
Learning from disagreement: a survey 204
Augmenting English adjective senses with supersenses 203
The social impact of natural language processing 203
Adapting taggers to Twitter with not-so-distant supervision 202
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 201
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 197
Gender and age bias in commercial machine translation 196
Tagging performance correlates negatively with author age 196
“You sound just like your father”. Commercial machine translation systems include stylistic biases 196
Experiments with crowdsourced re-annotation of a POS tagging data set 189
What’s in a p-value in NLP? 187
Crowdsourcing and annotating NER for Twitter# drift 187
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 186
The rating game: sentiment rating reproducibility from text 185
Disambiguation of preposition sense using linguistically motivated features 183
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 180
BERTective: language models and contextual information for deception detection 180
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 179
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 179
When POS data sets don’t add up: Combatting sample bias 179
DADIT: a dataset for demographic classification of Italian Twitter users and a comparison of prediction methods 178
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models 177
Learning whom to trust with MACE 177
Unsupervised discovery of domain-specific knowledge from text 177
Viewpoint: Artificial Intelligence accidents waiting to happen? 176
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 174
On the gap between adoption and understanding in NLP 174
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 171
Identifying metaphorical word use with tree kernels 171
Demographic factors improve classification performance 171
Learning a POS tagger for AAVE-like language 169
How Well can We Learn Interpretable Entity Types from Text? 168
SafetyKit: first aid for measuring safety in open-domain conversational systems 166
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 166
Proceedings of Safety4ConvAI: The Third Workshop on Safety for Conversational AI @ LREC-COLING 2024 165
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 165
Unsupervised mining of lexical variants from noisy text 165
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 165
End-to-end information extraction without token-level supervision 164
“We will reduce taxes” - Identifying election pledges with language models 163
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 163
Multitask learning for mental health conditions with limited social media data 162
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models 160
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 159
We need to consider disagreement in evaluation 158
Two contrasting data annotation paradigms for subjective NLP tasks 158
Bridging fairness and environmental sustainability in natural language processing 157
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 157
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions 155
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution 153
Solving electrical networks to incorporate supervision in random walks 153
Wisdom of instruction-tuned language model crowds. Exploring model label variation 151
When did that happen? Linking events and relations to timestamps 151
Data-efficient strategies for expanding hate speech detection into under-resourced languages 150
Language invariant properties in Natural Language Processing 148
SocioProbe: what, when, and where language models learn about sociodemographics 147
The ecological fallacy in annotation: modeling human label variation goes beyond sociodemographics 146
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 146
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features 143
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 141
Learning part-of-speech taggers with inter-annotator agreement loss 138
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 136
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 135
Can demographic factors improve text classification? Revisiting demographic adaptation in the age of transformers 134
Respectful or toxic? Using zero-shot learning with language models to detect hate speech 134
Totale 20.789
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Categoria #
all - tutte 93.606
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 93.606
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022706 0 0 0 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
2026/20272.160 409 480 589 682 0 0 0 0 0 0 0 0
Totale 23.430