IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 5.663
NA - Nord America 4.088
AS - Asia 2.261
SA - Sud America 358
AF - Africa 36
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 8
Totale 12.435
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Nazione #
US - Stati Uniti d'America 3.876
IT - Italia 1.180
DE - Germania 1.016
IE - Irlanda 925
RU - Federazione Russa 736
SG - Singapore 633
CN - Cina 587
GB - Regno Unito 500
UA - Ucraina 323
BR - Brasile 291
FR - Francia 267
TR - Turchia 245
HK - Hong Kong 238
SE - Svezia 221
CA - Canada 177
FI - Finlandia 140
VN - Vietnam 114
IL - Israele 108
IN - India 94
ID - Indonesia 75
CZ - Repubblica Ceca 66
BG - Bulgaria 43
NL - Olanda 40
CH - Svizzera 32
AT - Austria 30
JP - Giappone 30
IR - Iran 23
DK - Danimarca 21
AR - Argentina 20
MX - Messico 19
BE - Belgio 18
ES - Italia 18
RO - Romania 17
KR - Corea 16
PL - Polonia 16
AU - Australia 14
BD - Bangladesh 14
PK - Pakistan 14
EC - Ecuador 11
PT - Portogallo 11
PH - Filippine 10
AE - Emirati Arabi Uniti 9
SC - Seychelles 9
SK - Slovacchia (Repubblica Slovacca) 9
VE - Venezuela 9
ZA - Sudafrica 9
CO - Colombia 8
EU - Europa 8
PE - Perù 8
CL - Cile 7
MY - Malesia 7
HU - Ungheria 6
JM - Giamaica 6
NZ - Nuova Zelanda 6
AZ - Azerbaigian 5
GR - Grecia 5
KG - Kirghizistan 5
MA - Marocco 5
NO - Norvegia 5
EE - Estonia 4
EG - Egitto 4
LT - Lituania 4
MT - Malta 4
PA - Panama 4
UZ - Uzbekistan 4
AM - Armenia 3
CR - Costa Rica 3
DZ - Algeria 3
IQ - Iraq 3
JO - Giordania 3
KZ - Kazakistan 3
SA - Arabia Saudita 3
TH - Thailandia 3
BO - Bolivia 2
DO - Repubblica Dominicana 2
GE - Georgia 2
KE - Kenya 2
LK - Sri Lanka 2
LU - Lussemburgo 2
OM - Oman 2
TW - Taiwan 2
UY - Uruguay 2
AO - Angola 1
BY - Bielorussia 1
HR - Croazia 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
LB - Libano 1
LY - Libia 1
NI - Nicaragua 1
PW - Palau 1
RS - Serbia 1
SI - Slovenia 1
TL - Timor Orientale 1
TN - Tunisia 1
UG - Uganda 1
Totale 12.435
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Città #
Dublin 907
Frankfurt am Main 614
Milan 466
Ann Arbor 410
Chandler 402
Houston 323
Singapore 277
Jacksonville 270
Southend 227
Hong Kong 223
Ashburn 221
Moscow 198
Beijing 164
Toronto 144
Izmir 138
Helsinki 120
Woodbridge 120
Wilmington 104
The Dalles 103
Dearborn 97
Boardman 96
Boston 83
Lawrence 74
Fairfield 71
New York 71
Dong Ket 70
Jakarta 69
Seattle 67
Munich 66
Modena 63
Redwood City 50
Ladispoli 48
Mumbai 45
Rome 45
Tel Aviv 45
Los Angeles 42
Brno 41
London 36
Buffalo 30
Cambridge 30
Chicago 30
Mountain View 29
Düsseldorf 26
Nuremberg 26
Philadelphia 23
Mainz 21
Nanjing 21
São Paulo 21
Braunschweig 20
Grafing 20
Hefei 18
Vienna 17
Redmond 16
Robbiate 16
Zurich 16
Brussels 14
Paris 14
Tokyo 14
Bucharest 13
Hanoi 13
Norwalk 13
Santa Clara 13
Washington 13
Edison 12
Lappeenranta 12
Mexico City 12
North Bergen 12
Rio de Janeiro 12
San Francisco 12
Shanghai 12
Brooklyn 11
Guangzhou 11
Ho Chi Minh City 11
Kunming 11
Palombara Sabina 11
Trento 11
Assago 10
Brasília 10
Fremont 10
Turin 10
Belo Horizonte 9
Bexley 9
Bratislava 9
Delhi 9
Lauterbourg 9
Montreal 9
Portsmouth 9
Stockholm 9
Warsaw 9
Amsterdam 8
Falkenstein 8
Porto Alegre 8
Serra 8
Xi'an 8
Bonndorf 7
Darmstadt 7
Dubai 7
Falls Church 7
Fortaleza 7
Jinan 7
Totale 7.450
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Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 330
Capturing regional variation with distributed place representations and geographic retrofitting 285
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 272
User review sites as a resource for large-scale sociolinguistic studies 255
Visualizing regional language variation across Europe on Twitter 252
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 241
Challenges of studying and processing dialects in social media 233
More or less supervised supersense tagging of Twitter 220
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 216
Geolocation with attention-based multitask learning models 209
Identifying linguistic areas for geolocation 207
Comparing Bayesian models of annotation 201
Dense node representation for geolocation 198
Increasing in-class similarity by retrofitting embeddings with demographic information 192
Models and training for unsupervised preposition sense disambiguation 188
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 183
The social and the neural network: how to make natural language processing about people again 183
Linguistically debatable or just plain wrong? 172
Text analysis in Python for social scientists: discovery and exploration 172
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 171
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 169
Text analysis in Python for social scientists : prediction and classification 164
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 160
HONEST: measuring hurtful sentence completion in language models 156
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 154
FEEL-IT: emotion and sentiment classification for the Italian language 144
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 143
The social impact of natural language processing 143
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 141
Tagging performance correlates negatively with author age 141
Experiments with crowdsourced re-annotation of a POS tagging data set 139
What’s in a p-value in NLP? 137
Crowdsourcing and annotating NER for Twitter# drift 137
The rating game: sentiment rating reproducibility from text 137
Five sources of bias in natural language processing 136
Unsupervised discovery of domain-specific knowledge from text 132
Analysis and modeling of "focus" in context 131
Disambiguation of preposition sense using linguistically motivated features 131
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 131
Learning whom to trust with MACE 127
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 127
When POS data sets don’t add up: Combatting sample bias 126
A case for soft loss functions 126
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 125
Learning a POS tagger for AAVE-like language 124
Augmenting English adjective senses with supersenses 123
Cross-lingual syntactic variation over age and gender 121
Demographic factors improve classification performance 119
Cross-lingual contextualized topic models with zero-shot learning 119
Identifying metaphorical word use with tree kernels 118
Adapting taggers to Twitter with not-so-distant supervision 117
End-to-end information extraction without token-level supervision 116
How Well can We Learn Interpretable Entity Types from Text? 114
Unsupervised mining of lexical variants from noisy text 110
Multitask learning for mental health conditions with limited social media data 108
Solving electrical networks to incorporate supervision in random walks 106
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 106
MilaNLP @ WASSA: does BERT feel sad when you cry? 104
“You sound just like your father”. Commercial machine translation systems include stylistic biases 100
BERTective: language models and contextual information for deception detection 100
When did that happen? Linking events and relations to timestamps 99
Learning part-of-speech taggers with inter-annotator agreement loss 95
Entropy-based attention regularization frees unintended bias mitigation from lists 92
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 91
Gender and age bias in commercial machine translation 86
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages 86
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 84
On the gap between adoption and understanding in NLP 84
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 81
Predictive biases in natural language processing models: a conceptual framework and overview 80
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 79
“We will reduce taxes” - Identifying election pledges with language models 79
Viewpoint: Artificial Intelligence accidents waiting to happen? 76
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 76
Wordify: a tool for discovering and differentiating consumer vocabularies 74
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 73
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 73
We need to consider disagreement in evaluation 72
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 71
Data-efficient strategies for expanding hate speech detection into under-resourced languages 69
DADIT: a dataset for demographic classification of Italian Twitter users and a comparison of prediction methods 68
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 66
SafetyKit: first aid for measuring safety in open-domain conversational systems 65
Learning from disagreement: a survey 65
Universal joy: a data set and results for classifying emotions across languages 59
Bridging fairness and environmental sustainability in natural language processing 57
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 57
Beyond the stats: realities, perception, and social media discourse on poverty 57
The importance of modeling social factors of language: theory and practice 57
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 53
Two contrasting data annotation paradigms for subjective NLP tasks 53
Language invariant properties in Natural Language Processing 51
XLM-EMO: multilingual emotion prediction in social media text 48
SocioProbe: what, when, and where language models learn about sociodemographics 48
Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender 48
Wisdom of instruction-tuned language model crowds. Exploring model label variation 46
Guiding the release of safer E2E conversational AI through value sensitive design 46
Can demographic factors improve text classification? Revisiting demographic adaptation in the age of transformers 43
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 42
Missing information, unresponsive authors, experimental flaws: the impossibility of assessing the reproducibility of previous human evaluations in NLP 42
Totale 12.233
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Categoria #
all - tutte 59.250
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 59.250
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
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
2024/20253.114 84 77 167 71 140 122 344 303 976 267 275 288
2025/2026243 243 0 0 0 0 0 0 0 0 0 0 0
Totale 12.796