| Nome |
# |
|
Annotating Errors and Emotions in Human-Chatbot Interactions in Italian, file e27ce430-c90e-2581-e053-d805fe0acbaa
|
415
|
|
Combinatorics vs Grammar: archeology of computational poetry in Tape Mark I, file e27ce42a-53d9-2581-e053-d805fe0acbaa
|
330
|
|
Mobile Computing and Artificial Intelligence for Diet Management, file e27ce429-2664-2581-e053-d805fe0acbaa
|
310
|
|
Towards diet management with automatic reasoning and persuasive natural language generation, file e27ce428-a8a7-2581-e053-d805fe0acbaa
|
290
|
|
Annotating Italian Social Media Texts in Universal Dependencies, file e27ce42b-fda6-2581-e053-d805fe0acbaa
|
257
|
|
Prototyping and preliminary evaluation of sign language translation system in the railway domain, file e27ce428-a8b0-2581-e053-d805fe0acbaa
|
256
|
|
Semantic Annotation of Legal Texts through a FrameNet-Based Approach, file e27ce426-ebba-2581-e053-d805fe0acbaa
|
249
|
|
Adopting the Mediterranean Diet Score in a Diet Management System, file e27ce430-53e1-2581-e053-d805fe0acbaa
|
241
|
|
Looking back to the EVALITA Constituency Parsing Task: 2007-2011, file e27ce426-e8d0-2581-e053-d805fe0acbaa
|
238
|
|
SimpleNLG-IT: adapting SimpleNLG to Italian, file e27ce430-9bfc-2581-e053-d805fe0acbaa
|
229
|
|
Generare messaggi persuasivi per una dieta salutare, file e27ce428-a8a5-2581-e053-d805fe0acbaa
|
221
|
|
SpeechMatE: A Speech-driven Maths Editor for Motor-Impaired People, file e27ce430-8000-2581-e053-d805fe0acbaa
|
205
|
|
PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies, file e27ce42c-a5a6-2581-e053-d805fe0acbaa
|
202
|
|
Accessibilità di contenuti digitali per le STEM : un problema aperto. Alcune soluzioni inclusive per l’accessibilità di formule e grafici per persone con disabilità e DSA, file e27ce430-d1bf-2581-e053-d805fe0acbaa
|
190
|
|
Simple voting algorithms for Italian parsing, file e27ce42c-39dd-2581-e053-d805fe0acbaa
|
183
|
|
The EVALITA Dependency Parsing Task: from 2007 to 2011, file e27ce426-e8cf-2581-e053-d805fe0acbaa
|
181
|
|
Dealing with Italian adjectives in noun phrase: A study oriented to natural language generation, file e27ce42c-6ff7-2581-e053-d805fe0acbaa
|
175
|
|
Ontology Based Interlingua Translation, file e27ce426-d823-2581-e053-d805fe0acbaa
|
170
|
|
Natural Language Generation in Dialogue Systems for Customer Care, file e27ce430-c910-2581-e053-d805fe0acbaa
|
161
|
|
Translating Italian to LIS in the Rail Stations, file e27ce428-a8ae-2581-e053-d805fe0acbaa
|
157
|
|
Towards an Italian learner treebank in Universal Dependencies, file e27ce42e-f57c-2581-e053-d805fe0acbaa
|
155
|
|
Building a Computational Lexicon by using SQL, file e27ce42b-cf03-2581-e053-d805fe0acbaa
|
149
|
|
Anticipating User Intentions in Customer Care Dialogue Systems, file 0d7f7d1c-fb96-4978-9491-0ff0859f9fa0
|
147
|
|
The "Corpus Anchise 320" and the analysis of conversations between healthcare workers and people with dementia, file e27ce430-d003-2581-e053-d805fe0acbaa
|
146
|
|
Building a wide coverage dynamic grammar, file e27ce429-3d93-2581-e053-d805fe0acbaa
|
135
|
|
Accessibilità di contenuti digitali per le STEM: un problema aperto. Alcune soluzioni inclusive per l’accessibilità di formule e grafici, file e27ce431-5e98-2581-e053-d805fe0acbaa
|
134
|
|
Temporal Reasoning with Layered Preferences, file e27ce42d-947a-2581-e053-d805fe0acbaa
|
130
|
|
Using NLG for speech synthesis of mathematical sentences, file e27ce430-9bf7-2581-e053-d805fe0acbaa
|
127
|
|
Building a Treebank in Universal Dependencies for Italian Sign Language, file e27ce430-c912-2581-e053-d805fe0acbaa
|
127
|
|
Neural Surface Realization for Italian, file e27ce42d-d1ff-2581-e053-d805fe0acbaa
|
120
|
|
NLP-based Extraction of Modificatory Provisions Semantics, file e27ce430-d738-2581-e053-d805fe0acbaa
|
111
|
|
An artificial intelligence framework for compensating transgressions and its application to diet management, file e27ce42b-8e29-2581-e053-d805fe0acbaa
|
108
|
|
Evaluating speech synthesis on mathematical sentences, file e27ce42e-d647-2581-e053-d805fe0acbaa
|
106
|
|
Converting a dependency treebank to a categorial grammar treebank for Italian, file e27ce42c-2543-2581-e053-d805fe0acbaa
|
104
|
|
Towards Semantic Interpretation of Legal Modifications through Deep Syntactic Analysis, file e27ce426-bc71-2581-e053-d805fe0acbaa
|
101
|
|
Auxiliary Selection in Italian Intransitive Verbs: A Computational Investigation based on Annotated Corpora, file e27ce42d-6652-2581-e053-d805fe0acbaa
|
100
|
|
Simple parser combination, file e27ce426-e928-2581-e053-d805fe0acbaa
|
98
|
|
CheckYourMeal!: diet management with NLG, file e27ce42d-dac7-2581-e053-d805fe0acbaa
|
96
|
|
The DipInfo-UniTo system for SRST 2018, file e27ce42d-c989-2581-e053-d805fe0acbaa
|
95
|
|
Building a Persuasive Virtual Dietitian, file e27ce430-58bb-2581-e053-d805fe0acbaa
|
90
|
|
Riconoscimento vocale di formule, file e27ce434-a487-2581-e053-d805fe0acbaa
|
89
|
|
Comparing the Influence of Different Treebank Annotations on Dependency Parsing, file e27ce42c-43e9-2581-e053-d805fe0acbaa
|
80
|
|
An Approach for Explaining Reasoning on the Diet Domain, file e27ce42c-4da8-2581-e053-d805fe0acbaa
|
80
|
|
Overview of the EVALITA 2016 Part of speech on twitter for Italian task, file e27ce42b-d45f-2581-e053-d805fe0acbaa
|
79
|
|
The Evalita 2011 Parsing Task: the constituency track, file e27ce426-dcb3-2581-e053-d805fe0acbaa
|
78
|
|
Matematica a voce parte 1: trascrizione di lezioni di matematica, file e27ce432-e609-2581-e053-d805fe0acbaa
|
77
|
|
The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization, file e27ce430-7f0c-2581-e053-d805fe0acbaa
|
67
|
|
Turin University Treebank (TUT), file e27ce426-be00-2581-e053-d805fe0acbaa
|
66
|
|
Designing and testing the messages produced by a virtual dietitian, file e27ce430-aca3-2581-e053-d805fe0acbaa
|
66
|
|
The Evalita 2011 Parsing Task: the Dependency Track, file e27ce426-dcb2-2581-e053-d805fe0acbaa
|
65
|
|
Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018), Torino, Italy, December 10-12, 2018, file e27ce42d-daca-2581-e053-d805fe0acbaa
|
65
|
|
FrameNet Model of the Suspension of Norms, file e27ce430-8c9f-2581-e053-d805fe0acbaa
|
65
|
|
Evaluating the MuMe dialogue system with the IDIAL protocol, file e27ce42e-ee97-2581-e053-d805fe0acbaa
|
62
|
|
Comparing Italian parsers on a common treebank: the Evalita experience, file e27ce42c-8ce5-2581-e053-d805fe0acbaa
|
61
|
|
Building a generator for Italian sign language, file e27ce42b-7b13-2581-e053-d805fe0acbaa
|
57
|
|
Legal Taxonomy Syllabus version 2.0., file e27ce426-cde6-2581-e053-d805fe0acbaa
|
56
|
|
VALICO-UD: Treebanking an Italian Learner Corpus in Universal Dependencies, file 5d3b1b35-8c4f-4f11-8642-6d61274b23a4
|
54
|
|
Where should I put my hands? Planning hand location in sign languages, file e27ce42a-f644-2581-e053-d805fe0acbaa
|
53
|
|
Strong connectivity hypothesis and generative power in TAG, file e27ce426-9d85-2581-e053-d805fe0acbaa
|
52
|
|
The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus, file 7d6fbc30-a6dc-41ac-88d4-670d6a551d37
|
51
|
|
Ranking Algorithms for Word Ordering in Surface Realization, file e27ce432-731b-2581-e053-d805fe0acbaa
|
48
|
|
Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network, file 2491c344-8263-4a27-9e04-d184a178d52e
|
47
|
|
Sign Language Generation with Expert Systems and CCG., file e27ce426-e95d-2581-e053-d805fe0acbaa
|
47
|
|
Sapir–Whorf vs Boas–Jakobson. Enunciation and the Semiotics of Programming Languages, file e27ce430-e19f-2581-e053-d805fe0acbaa
|
46
|
|
Content Selection for Explanation Requests in Customer-Care Domain, file e27ce430-e99b-2581-e053-d805fe0acbaa
|
39
|
|
Query in linguaggio naturale per il dominio della dieta mediterranea(Natural Language Queries for the Mediterranean Diet Domain), file e27ce434-71fe-2581-e053-d805fe0acbaa
|
35
|
|
A Comparative Analysis of Extracted Grammars, file e27ce430-d734-2581-e053-d805fe0acbaa
|
31
|
|
Terminological and Ontological Analysis of European Directives: Multilinguism in Law, file e27ce430-a41d-2581-e053-d805fe0acbaa
|
23
|
|
Towards Data Augmentation for DRS-to-Text Generation, file 6f9f19cb-3bf7-42f3-9f30-92148bccc313
|
22
|
|
An Ontology Based Architecture for Translation, file e27ce42c-2b80-2581-e053-d805fe0acbaa
|
18
|
|
Personalizing Weekly Diet Reports, file 1cdabfd1-c12b-4306-b215-1937c7bbbda6
|
11
|
|
Exploring sentiments in summarization: SentiTextRank, an Emotional Variant of TextRank, file 2934cc3c-0c94-43c2-8e02-edac428b9956
|
11
|
|
UX Personas for defining robot's character and personality, file bb18bfc9-7192-48f5-a3ef-3afa5eb4b39a
|
11
|
|
Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain, file 67137851-69a1-4fdc-a66e-eda388721a2b
|
10
|
|
An artificial intelligence framework for compensating transgressions and its application to diet management, file e27ce42c-e40b-2581-e053-d805fe0acbaa
|
9
|
|
Building a Spoken Dialogue System for Supporting Blind People in Accessing Mathematical Expressions, file b96e6334-71d0-4c4e-9b4a-06fcd72944ed
|
7
|
|
Exploring Data Augmentation in Neural {DRS}-to-Text Generation, file ccbf95a6-d6fa-4c1c-926c-02f496ceba0e
|
6
|
|
Deep Natural Language Processing for Italian Sign Language Translation, file e27ce427-0c45-2581-e053-d805fe0acbaa
|
6
|
|
TULSI: an NLP System for Extracting Legal Modificatory Provisions, file e27ce426-ef04-2581-e053-d805fe0acbaa
|
5
|
|
Constraining the Form of Supertags with the Strong Connectivity Hypothesis, file e27ce426-ccb0-2581-e053-d805fe0acbaa
|
4
|
|
Dynamic tag and lexical dependencies, file e27ce426-9d98-2581-e053-d805fe0acbaa
|
3
|
|
Reasoning and querying bounds on differences with layered preferences, file 15122f42-5ae7-441b-b9d9-83f03692dcd7
|
2
|
|
Preliminary results of a therapeutic lab for promoting autonomies in
autistic children, file 65d4b26c-f586-43fd-b0e2-eaa97496581e
|
1
|
|
Building a wide coverage dynamic grammar, file e27ce426-9d92-2581-e053-d805fe0acbaa
|
1
|
|
Last train to "Rebaudengo Fossano": The case of some names in avatar translation., file e27ce427-0c51-2581-e053-d805fe0acbaa
|
1
|
|
Building a wide coverage dynamic grammar, file e27ce430-e357-2581-e053-d805fe0acbaa
|
1
|
| Totale |
8.807 |