| Nome |
# |
|
Language Evolution in Social Media: a Preliminary Study, file e291c0d4-ba43-cddb-e053-3a05fe0aa144
|
1.856
|
|
Terminology extraction: an analysis of linguistic and statistical approaches, file e291c0d3-e727-cddb-e053-3a05fe0aa144
|
1.396
|
|
A Machine learning approach to textual
entailment recognition, file e291c0d3-eede-cddb-e053-3a05fe0aa144
|
411
|
|
Exploiting Transitivity in Probabilistic Models for Ontology Learning, file e291c0d4-a7a6-cddb-e053-3a05fe0aa144
|
318
|
|
Fast and effective kernels for relational learning from texts, file e291c0d3-c151-cddb-e053-3a05fe0aa144
|
313
|
|
Parsing engineering and empirical robustness, file e291c0d5-da95-cddb-e053-3a05fe0aa144
|
282
|
|
Efficient kernels for sentence pair classification, file e291c0d3-c332-cddb-e053-3a05fe0aa144
|
271
|
|
Reading what machines “think”: a challenge for nanotechnology, file e291c0d3-c17c-cddb-e053-3a05fe0aa144
|
268
|
|
Automatic learning of textual entailments with cross-pair similarities, file e291c0d3-c335-cddb-e053-3a05fe0aa144
|
262
|
|
Estimating linear models for compositional distributional semantics, file e291c0d3-c330-cddb-e053-3a05fe0aa144
|
252
|
|
The Italian Syntactic-Semantic Treebank: Architecture, Annotation, Tools and Evaluation, file e291c0d3-c185-cddb-e053-3a05fe0aa144
|
250
|
|
Viewpoint: Human-in-the-loop artificial intelligence, file e291c0d7-5210-cddb-e053-3a05fe0aa144
|
222
|
|
Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels, file e291c0d4-991a-cddb-e053-3a05fe0aa144
|
212
|
|
Senso Comune, an Open Knowledge Base for Italian, file e291c0d4-a966-cddb-e053-3a05fe0aa144
|
209
|
|
Discovering asymmetric entailment relations between verbs using selectional preferences, file e291c0d3-c338-cddb-e053-3a05fe0aa144
|
202
|
|
Modelling the syntactic contextual information for term extraction, file e291c0d3-c2db-cddb-e053-3a05fe0aa144
|
188
|
|
haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE, file e291c0d4-9608-cddb-e053-3a05fe0aa144
|
184
|
|
Towards Syntax-aware Compositional Distributional Semantic Models, file e291c0d5-7624-cddb-e053-3a05fe0aa144
|
171
|
|
Più l’ascolto e più Mi piace!
Social media e Radio: uno studio preliminare del successo dei post, file e291c0d5-e8c7-cddb-e053-3a05fe0aa144
|
168
|
|
Linguistic redundancy in Twitter, file e291c0d4-f341-cddb-e053-3a05fe0aa144
|
162
|
|
Learning textual entailment from examples, file e291c0d3-c14f-cddb-e053-3a05fe0aa144
|
154
|
|
Distributed Smoothed Tree Kernel, file e291c0d5-ea59-cddb-e053-3a05fe0aa144
|
152
|
|
null, file e291c0d5-e1e5-cddb-e053-3a05fe0aa144
|
139
|
|
Chatting to Personalize and Plan Cultural Itineraries, file e291c0d4-b99e-cddb-e053-3a05fe0aa144
|
123
|
|
Predicting VTE in cancer patients: Candidate biomarkers and risk assessment models, file e291c0d7-6027-cddb-e053-3a05fe0aa144
|
116
|
|
Generic ontology learners on application domains, file e291c0d3-c146-cddb-e053-3a05fe0aa144
|
113
|
|
Predicting Embedded Syntactic Structures from Natural Language Sentences with Neural Network Approaches, file e291c0d5-6d27-cddb-e053-3a05fe0aa144
|
107
|
|
Distributed Smoothed Tree Kernel, file e291c0d5-e736-cddb-e053-3a05fe0aa144
|
106
|
|
Learning shallow semantic rules for textual entailment, file e291c0d6-07ce-cddb-e053-3a05fe0aa144
|
98
|
|
Syntactic/semantic structures for textual entailment recognition, file e291c0d3-c143-cddb-e053-3a05fe0aa144
|
94
|
|
Enriching ‘Senso Comune’with Semantic Role Sets, file e291c0d5-e883-cddb-e053-3a05fe0aa144
|
91
|
|
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey, file e291c0d8-f0bc-cddb-e053-3a05fe0aa144
|
86
|
|
Risk assessment for venous thromboembolism in chemotherapy treated ambulatory cancer patients: a machine learning approach, file e291c0d5-e13e-cddb-e053-3a05fe0aa144
|
79
|
|
L’Intelligenza Artificiale: dal “grande furto” a una più giusta distribuzione dei profitti, file e291c0d7-470d-cddb-e053-3a05fe0aa144
|
78
|
|
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to "Parse"?, file e291c0d4-ba40-cddb-e053-3a05fe0aa144
|
70
|
|
Linear Compositional Distributional Semantics and Structural Kernels, file e291c0d4-c2db-cddb-e053-3a05fe0aa144
|
69
|
|
Distributed Tree Kernels, file e291c0d4-aa3d-cddb-e053-3a05fe0aa144
|
63
|
|
Senso Comune as a Knowledge Base of Italian language: the Resource and its Development, file e291c0d5-eaff-cddb-e053-3a05fe0aa144
|
62
|
|
Data augmentation using background replacement for automated sorting of littered waste, file e291c0d9-a6d5-cddb-e053-3a05fe0aa144
|
62
|
|
Breast Cancer Prognosis Using a Machine Learning Approach, file e291c0d7-6c6b-cddb-e053-3a05fe0aa144
|
25
|
|
Informatività e Scritture Brevi, file e291c0d5-eb3e-cddb-e053-3a05fe0aa144
|
16
|
|
Parallels between Machine and Brain Decoding, file e291c0d4-abe9-cddb-e053-3a05fe0aa144
|
10
|
|
Recognizing Textual Entailment: Models and Applications, file e291c0d4-f381-cddb-e053-3a05fe0aa144
|
2
|
|
Efficient graph Kernels for textual entailment recognition, file e291c0d3-c142-cddb-e053-3a05fe0aa144
|
1
|
|
Recognizing Textual Entailment: Models and Applications, file e291c0d4-f380-cddb-e053-3a05fe0aa144
|
1
|
|
Singular value decomposition for Feature Selection in Taxonomy Learning, file e291c0d5-e3e0-cddb-e053-3a05fe0aa144
|
1
|
|
Hiding Your Face Is Not Enough: user identity linkage with image recognition, file e291c0d8-9050-cddb-e053-3a05fe0aa144
|
1
|
|
Tuning lexicons to new operational scenarios, file e291c0d8-95dc-cddb-e053-3a05fe0aa144
|
1
|
|
null, file e291c0d8-a013-cddb-e053-3a05fe0aa144
|
1
|
|
Adaptive parsing for time-constrained tasks, file e291c0d9-006b-cddb-e053-3a05fe0aa144
|
1
|
| Totale |
9.519 |