IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 5.461
NA - Nord America 3.860
AS - Asia 2.094
SA - Sud America 208
AF - Africa 25
OC - Oceania 13
Continente sconosciuto - Info sul continente non disponibili 8
Totale 11.669
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Nazione #
US - Stati Uniti d'America 3.673
IT - Italia 1.156
DE - Germania 960
IE - Irlanda 923
RU - Federazione Russa 734
SG - Singapore 598
CN - Cina 551
GB - Regno Unito 467
UA - Ucraina 322
TR - Turchia 237
FR - Francia 222
HK - Hong Kong 215
SE - Svezia 214
BR - Brasile 170
CA - Canada 158
FI - Finlandia 135
IL - Israele 108
IN - India 85
VN - Vietnam 85
ID - Indonesia 73
CZ - Repubblica Ceca 66
BG - Bulgaria 43
NL - Olanda 36
CH - Svizzera 32
AT - Austria 28
JP - Giappone 26
IR - Iran 23
DK - Danimarca 21
BE - Belgio 17
RO - Romania 17
KR - Corea 16
ES - Italia 14
MX - Messico 13
AU - Australia 12
PK - Pakistan 12
PH - Filippine 10
AR - Argentina 9
PT - Portogallo 9
SC - Seychelles 9
AE - Emirati Arabi Uniti 8
EU - Europa 8
SK - Slovacchia (Repubblica Slovacca) 8
MY - Malesia 7
BD - Bangladesh 6
HU - Ungheria 6
JM - Giamaica 6
PE - Perù 6
PL - Polonia 6
VE - Venezuela 6
CL - Cile 5
CO - Colombia 5
GR - Grecia 5
KG - Kirghizistan 5
MA - Marocco 5
NO - Norvegia 5
AZ - Azerbaigian 4
EC - Ecuador 4
EE - Estonia 4
MT - Malta 4
PA - Panama 4
AM - Armenia 3
CR - Costa Rica 3
KZ - Kazakistan 3
TH - Thailandia 3
UZ - Uzbekistan 3
ZA - Sudafrica 3
BO - Bolivia 2
DO - Repubblica Dominicana 2
DZ - Algeria 2
EG - Egitto 2
GE - Georgia 2
IQ - Iraq 2
JO - Giordania 2
LK - Sri Lanka 2
LT - Lituania 2
LU - Lussemburgo 2
TW - Taiwan 2
AO - Angola 1
BY - Bielorussia 1
HR - Croazia 1
KE - Kenya 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
NI - Nicaragua 1
NZ - Nuova Zelanda 1
SA - Arabia Saudita 1
SI - Slovenia 1
TN - Tunisia 1
UG - Uganda 1
UY - Uruguay 1
Totale 11.669
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Città #
Dublin 906
Frankfurt am Main 604
Milan 460
Ann Arbor 410
Chandler 402
Houston 322
Jacksonville 269
Singapore 244
Southend 227
Ashburn 212
Hong Kong 200
Moscow 197
Toronto 142
Izmir 137
Beijing 131
Helsinki 120
Woodbridge 120
Wilmington 104
The Dalles 103
Dearborn 97
Boardman 89
Boston 77
Lawrence 74
Fairfield 71
Dong Ket 70
Jakarta 69
New York 66
Modena 63
Seattle 63
Redwood City 50
Ladispoli 48
Rome 45
Tel Aviv 45
Mumbai 44
Brno 41
Los Angeles 35
Cambridge 30
Mountain View 29
London 28
Munich 27
Düsseldorf 26
Chicago 23
Philadelphia 23
Mainz 21
Nanjing 21
Nuremberg 21
Braunschweig 20
Grafing 20
Hefei 18
Redmond 16
Robbiate 16
Vienna 16
Zurich 16
São Paulo 15
Brussels 13
Bucharest 13
Norwalk 13
Paris 13
Washington 13
Edison 12
Lappeenranta 12
North Bergen 12
Shanghai 12
Guangzhou 11
Kunming 11
Palombara Sabina 11
Trento 11
Fremont 10
Tokyo 10
Turin 10
Delhi 9
Lauterbourg 9
Mexico City 9
Assago 8
Bratislava 8
Portsmouth 8
Santa Clara 8
Xi'an 8
Amsterdam 7
Bonndorf 7
Darmstadt 7
Dubai 7
Falkenstein 7
Falls Church 7
Jinan 7
Pavia 7
Serra 7
Tavagnacco 7
Udine 7
Acton 6
Bologna 6
Bolzano 6
Buffalo 6
Casorate Primo 6
Geelong 6
Grenoble 6
Heidenau 6
Lugano 6
Nanchang 6
Naples 6
Totale 7.140
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Nome #
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 322
Capturing regional variation with distributed place representations and geographic retrofitting 279
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 259
Visualizing regional language variation across Europe on Twitter 244
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 229
Challenges of studying and processing dialects in social media 224
User review sites as a resource for large-scale sociolinguistic studies 210
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 210
More or less supervised supersense tagging of Twitter 208
Geolocation with attention-based multitask learning models 198
Dense node representation for geolocation 187
Comparing Bayesian models of annotation 186
Identifying linguistic areas for geolocation 185
Models and training for unsupervised preposition sense disambiguation 182
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 175
The social and the neural network: how to make natural language processing about people again 175
Increasing in-class similarity by retrofitting embeddings with demographic information 174
Text analysis in Python for social scientists: discovery and exploration 167
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 165
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 162
Linguistically debatable or just plain wrong? 159
Text analysis in Python for social scientists : prediction and classification 159
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 152
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 152
HONEST: measuring hurtful sentence completion in language models 147
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 141
The social impact of natural language processing 140
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 139
Tagging performance correlates negatively with author age 137
What’s in a p-value in NLP? 136
Crowdsourcing and annotating NER for Twitter# drift 135
The rating game: sentiment rating reproducibility from text 134
Experiments with crowdsourced re-annotation of a POS tagging data set 133
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 129
FEEL-IT: emotion and sentiment classification for the Italian language 129
Analysis and modeling of "focus" in context 128
Disambiguation of preposition sense using linguistically motivated features 128
Unsupervised discovery of domain-specific knowledge from text 127
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 124
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 123
A case for soft loss functions 123
Five sources of bias in natural language processing 123
Learning a POS tagger for AAVE-like language 122
Learning whom to trust with MACE 121
When POS data sets don’t add up: Combatting sample bias 121
Cross-lingual syntactic variation over age and gender 117
Demographic factors improve classification performance 117
Identifying metaphorical word use with tree kernels 116
Augmenting English adjective senses with supersenses 114
End-to-end information extraction without token-level supervision 114
Cross-lingual contextualized topic models with zero-shot learning 114
How Well can We Learn Interpretable Entity Types from Text? 113
Adapting taggers to Twitter with not-so-distant supervision 112
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 105
Multitask learning for mental health conditions with limited social media data 105
Unsupervised mining of lexical variants from noisy text 104
Solving electrical networks to incorporate supervision in random walks 104
MilaNLP @ WASSA: does BERT feel sad when you cry? 97
When did that happen? Linking events and relations to timestamps 96
“You sound just like your father”. Commercial machine translation systems include stylistic biases 96
Learning part-of-speech taggers with inter-annotator agreement loss 93
BERTective: language models and contextual information for deception detection 93
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 87
Entropy-based attention regularization frees unintended bias mitigation from lists 83
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages 82
Gender and age bias in commercial machine translation 80
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 78
Predictive biases in natural language processing models: a conceptual framework and overview 77
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 77
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 76
On the gap between adoption and understanding in NLP 75
“We will reduce taxes” - Identifying election pledges with language models 74
Viewpoint: Artificial Intelligence accidents waiting to happen? 73
Wordify: a tool for discovering and differentiating consumer vocabularies 69
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 69
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 68
We need to consider disagreement in evaluation 68
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 67
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 65
Data-efficient strategies for expanding hate speech detection into under-resourced languages 62
DADIT: a dataset for demographic classification of Italian Twitter users and a comparison of prediction methods 61
What about em? How commercial Machine Translation fails to handle (neo-)pronouns 58
SafetyKit: first aid for measuring safety in open-domain conversational systems 58
Learning from disagreement: a survey 58
Universal joy: a data set and results for classifying emotions across languages 55
The importance of modeling social factors of language: theory and practice 54
Bridging fairness and environmental sustainability in natural language processing 51
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 50
Two contrasting data annotation paradigms for subjective NLP tasks 50
Beyond the stats: realities, perception, and social media discourse on poverty 48
Language invariant properties in Natural Language Processing 47
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 46
XLM-EMO: multilingual emotion prediction in social media text 45
Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender 45
SocioProbe: what, when, and where language models learn about sociodemographics 44
Wisdom of instruction-tuned language model crowds. Exploring model label variation 41
Guiding the release of safer E2E conversational AI through value sensitive design 40
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 36
Pipelines for social bias testing of large language models 35
Twitter-demographer: a flow-based tool to enrich Twitter data 34
Totale 11.599
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Categoria #
all - tutte 55.719
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 55.719
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020198 0 0 0 0 0 0 0 0 0 0 119 79
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
2024/20252.591 84 77 167 71 140 122 344 303 976 267 40 0
Totale 12.030