statistiche ricercatore

Continente	#
NA - Nord America	2.390
EU - Europa	1.622
AS - Asia	377
SA - Sud America	12
OC - Oceania	10
AF - Africa	5
Continente sconosciuto - Info sul continente non disponibili	4
Totale	4.420

Nome	#
Deep Learning for Feature Representation in Natural Language Processing	480
CAGE: Constrained deep Attributed Graph Embedding	405
Overview of the EVALITa 2018 task on automatic misogyny identification (AMI)	326
Adapting named entity types to new ontologies in a microblogging environment	280
A multi-view sentiment corpus	228
TWINE: A real-time system for TWeet analysis via INformation extraction	224
Towards Encoding Time in Text-Based Entity Embeddings	223
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter	223
Deep learning and ensemble methods for domain adaptation	222
LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems	221
Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings	220
Towards adaptation of Named Entity classification	217
Word Embeddings for Unsupervised Named Entity Linking	213
A latent representation model for sentiment analysis in heterogeneous social networks	208
Unintended bias in misogyny detection	205
UNIMIB@NEEL-IT : Named entity recognition and linking of Italian tweets	173
AMI @ EVALITA2020: Automatic misogyny identification	163
Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models	155
Profiling Italian Misogynist: An Empirical Study	118
Mapping natural language labels to structured web resources	113
Cross-lingual contextualized topic models with zero-shot learning	71
Totale	4.688

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2018/2019	143	0	0	0	0	0	0	0	0	0	25	50	68
2019/2020	917	61	38	48	63	55	83	148	123	122	82	59	35
2020/2021	1.198	43	40	106	103	87	154	127	106	111	100	79	142
2021/2022	654	73	54	51	74	58	80	45	29	48	37	44	61
2022/2023	722	70	201	76	48	45	115	16	42	41	29	22	17
2023/2024	542	36	22	34	47	52	105	107	36	80	23	0	0
Totale													4.688

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