IRIS
HOVY, DIRK
 Distribuzione geografica
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Continente #
EU - Europa 4.260
NA - Nord America 3.444
AS - Asia 963
SA - Sud America 25
AF - Africa 11
OC - Oceania 10
Continente sconosciuto - Info sul continente non disponibili 8
Totale 8.721
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Nazione #
US - Stati Uniti d'America 3.289
IT - Italia 922
IE - Irlanda 918
DE - Germania 838
CN - Cina 427
GB - Regno Unito 424
UA - Ucraina 317
SE - Svezia 213
FR - Francia 172
CA - Canada 142
TR - Turchia 141
RU - Federazione Russa 128
FI - Finlandia 117
VN - Vietnam 83
HK - Hong Kong 74
IL - Israele 59
SG - Singapore 50
BG - Bulgaria 42
IN - India 32
NL - Olanda 24
JP - Giappone 22
CZ - Repubblica Ceca 21
IR - Iran 20
CH - Svizzera 19
DK - Danimarca 17
RO - Romania 16
ES - Italia 14
KR - Corea 11
MX - Messico 11
AU - Australia 10
BR - Brasile 10
AT - Austria 8
BE - Belgio 8
EU - Europa 8
PT - Portogallo 8
AE - Emirati Arabi Uniti 7
PH - Filippine 7
SK - Slovacchia (Repubblica Slovacca) 7
BD - Bangladesh 5
HU - Ungheria 5
NO - Norvegia 5
PK - Pakistan 5
PL - Polonia 5
AR - Argentina 4
MT - Malta 4
MY - Malesia 4
SC - Seychelles 4
CL - Cile 3
EC - Ecuador 3
ID - Indonesia 3
KG - Kirghizistan 3
PE - Perù 3
CR - Costa Rica 2
GE - Georgia 2
GR - Grecia 2
LK - Sri Lanka 2
LU - Lussemburgo 2
MA - Marocco 2
VE - Venezuela 2
ZA - Sudafrica 2
AZ - Azerbaigian 1
BY - Bielorussia 1
DZ - Algeria 1
EE - Estonia 1
EG - Egitto 1
HR - Croazia 1
JO - Giordania 1
KZ - Kazakistan 1
SA - Arabia Saudita 1
SI - Slovenia 1
TH - Thailandia 1
TW - Taiwan 1
UG - Uganda 1
Totale 8.721
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Città #
Dublin 902
Frankfurt am Main 581
Ann Arbor 410
Chandler 402
Houston 322
Milan 305
Jacksonville 269
Southend 227
Ashburn 194
Izmir 137
Toronto 131
Beijing 126
Woodbridge 120
Helsinki 115
Wilmington 104
Dearborn 97
Boston 77
Lawrence 74
Fairfield 71
Dong Ket 70
Hong Kong 64
Modena 63
New York 63
Seattle 63
Redwood City 50
Ladispoli 48
Boardman 43
Rome 35
Cambridge 30
Mountain View 28
Singapore 27
Philadelphia 23
Mainz 21
Nanjing 21
Braunschweig 20
Grafing 20
London 20
Chicago 18
Hefei 18
Redmond 16
Robbiate 16
Los Angeles 14
Bucharest 13
Norwalk 13
Washington 13
Edison 12
Paris 12
Kunming 11
Palombara Sabina 11
Shanghai 11
Fremont 10
Delhi 9
Guangzhou 9
Tokyo 9
Turin 9
Mexico City 8
Zurich 8
Bonndorf 7
Bratislava 7
Darmstadt 7
Falls Church 7
Jinan 7
Pavia 7
Tavagnacco 7
Udine 7
Xi'an 7
Acton 6
Amsterdam 6
Casorate Primo 6
Dubai 6
Geelong 6
Heidenau 6
Nanchang 6
Serra 6
Sheffield 6
Skodstrup 6
Trento 6
Trieste 6
Vienna 6
Bologna 5
Bolzano 5
Cabanatuan City 5
Hounslow 5
Landshut 5
Naples 5
Napoli 5
Nola 5
Oxford 5
Port Talbot 5
Utrecht 5
Varedo 5
Verona 5
Brussels 4
Capriolo 4
Central 4
Cerreto Guidi 4
Chengdu 4
Fuzhou 4
Leawood 4
Lugano 4
Totale 5.851
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Nome #
Capturing regional variation with distributed place representations and geographic retrofitting 262
Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter 260
Personality traits on Twitter - or - how to get 1.500 personality tests in a week 209
Visualizing regional language variation across Europe on Twitter 186
Challenges of studying and processing dialects in social media 181
What's in a preposition? Dimensions of sense disambiguation for an interesting word class 177
More or less supervised supersense tagging of Twitter 166
Hey Siri. Ok Google. Alexa: a topic modeling of user reviews for smart speakers 162
User review sites as a resource for large-scale sociolinguistic studies 160
Geolocation with attention-based multitask learning models 151
Dense node representation for geolocation 149
Models and training for unsupervised preposition sense disambiguation 140
Putting sarcasm detection into context: the effects of class imbalance and manual labelling on supervised machine classification of Twitter conversations 139
Identifying linguistic areas for geolocation 138
Comparing Bayesian models of annotation 138
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 136
Increasing in-class similarity by retrofitting embeddings with demographic information 134
Text analysis in Python for social scientists : prediction and classification 132
Exploring language variation across Europe: a web-based tool for computational sociolinguistics 130
Women’s syntactic resilience and men’s grammatical luck: gender-bias in part-of-speech tagging and dependency parsing 130
Text analysis in Python for social scientists: discovery and exploration 128
The social and the neural network: how to make natural language processing about people again 127
Experiments with crowdsourced re-annotation of a POS tagging data set 126
The rating game: sentiment rating reproducibility from text 125
Predicting news headline popularity with syntactic and semantic knowledge using multi-task learning 125
Computerlingvistik. Metoder til visualisering af regional variation i sociale medier 125
Crowdsourcing and annotating NER for Twitter# drift 122
What’s in a p-value in NLP? 120
The social impact of natural language processing 120
Tagging performance correlates negatively with author age 120
Linguistically debatable or just plain wrong? 119
The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study 119
Disambiguation of preposition sense using linguistically motivated features 116
Unsupervised discovery of domain-specific knowledge from text 113
When POS data sets don’t add up: Combatting sample bias 113
Analysis and modeling of "focus" in context 111
Copenhagen-Malm"o: Tree approximations of semantic parsing problems 108
Learning a POS tagger for AAVE-like language 107
Demographic factors improve classification performance 107
Learning whom to trust with MACE 106
Identifying metaphorical word use with tree kernels 106
Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data 106
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations 104
Cross-lingual syntactic variation over age and gender 102
End-to-end information extraction without token-level supervision 99
Mining for unambiguous instances to adapt part-of-speech taggers to new domains 97
How Well can We Learn Interpretable Entity Types from Text? 97
Adapting taggers to Twitter with not-so-distant supervision 95
Augmenting English adjective senses with supersenses 95
Unsupervised mining of lexical variants from noisy text 93
Multitask learning for mental health conditions with limited social media data 92
A case for soft loss functions 91
FEEL-IT: emotion and sentiment classification for the Italian language 91
Solving electrical networks to incorporate supervision in random walks 90
Cross-lingual contextualized topic models with zero-shot learning 88
When did that happen? Linking events and relations to timestamps 86
HONEST: measuring hurtful sentence completion in language models 85
If all you have is a bit of the Bible: learning POS taggers for truly low-resource languages 79
Learning part-of-speech taggers with inter-annotator agreement loss 78
“You sound just like your father”. Commercial machine translation systems include stylistic biases 78
MilaNLP @ WASSA: does BERT feel sad when you cry? 76
Five sources of bias in natural language processing 75
BERTective: language models and contextual information for deception detection 73
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages 72
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Sciences (NLP+CSS) 66
Predictive biases in natural language processing models: a conceptual framework and overview 64
“We will reduce taxes” - Identifying election pledges with language models 56
On the gap between adoption and understanding in NLP 56
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 55
Wordify: a tool for discovering and differentiating consumer vocabularies 50
Viewpoint: Artificial Intelligence accidents waiting to happen? 49
Pre-training is a hot topic: contextualized document embeddings improve topic coherence 46
Gender and age bias in commercial machine translation 45
We need to consider disagreement in evaluation 45
Universal joy: a data set and results for classifying emotions across languages 42
"It's not just hate": a multi-dimensional perspective on detecting harmful speech online 41
Beyond digital "echo chambers": the role of viewpoint diversity in political discussion 38
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 37
The importance of modeling social factors of language: theory and practice 37
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 35
SafetyKit: first aid for measuring safety in open-domain conversational systems 34
Data-efficient strategies for expanding hate speech detection into under-resourced languages 32
Bridging fairness and environmental sustainability in natural language processing 31
Entropy-based attention regularization frees unintended bias mitigation from lists 30
Language invariant properties in Natural Language Processing 28
Learning from disagreement: a survey 28
Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender 27
Two contrasting data annotation paradigms for subjective NLP tasks 27
Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection 26
Measuring harmful sentence completion in language models for LGBTQIA+ individuals 26
XLM-EMO: multilingual emotion prediction in social media text 24
SocioProbe: what, when, and where language models learn about sociodemographics 24
Twitter-demographer: a flow-based tool to enrich Twitter data 22
Pipelines for social bias testing of large language models 21
Guiding the release of safer E2E conversational AI through value sensitive design 18
MilaNLP at SemEval-2023 Task 10: ensembling domain-adapted and regularized pretrained language models for robust sexism detection 10
Respectful or toxic? Using zero-shot learning with language models to detect hate speech 10
Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP) 10
The state of profanity obfuscation in Natural Language Processing scientific publications 10
The ecological fallacy in annotation: modeling human label variation goes beyond sociodemographics 9
Totale 8.994
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Categoria #
all - tutte 35.579
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 35.579
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019179 0 0 0 0 0 0 0 0 0 0 25 154
2019/20201.508 82 51 74 83 87 221 325 149 101 137 119 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
2023/20241.581 104 122 130 107 215 199 177 229 75 90 133 0
Totale 9.033