Edoardo Maria Ponti
Biographic Data
| ID | 6536201 |
|---|---|
| NAME | Edoardo Maria Ponti |
| GIVEN NAMES | Edoardo Maria |
| FAMILY NAME | Ponti |
| SIGNATURE | PONTI E M |
| AFFILIATIONS | LTL, University of Cambridge. |
| ORCID | 0000-0002-6308-1050 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Multi-SimLex
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word…
Modeling Language Variation and Universals
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the u…
Non-configurationality in diachrony
Non-configurationality is a linguistic property associated with free word order, discontinuous constituents, including NPs, and null anaphora of referential arguments. Quantitative metrics, based both on local networks (syntactic trees and word order within sentences) and on global networks (incorporating the relations within a whole treebank into a shared graph), can reveal correlations among these features. Using treebanks we focus on diachroni…
Modeling Language Variation and Universals
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the u…
Multi-SimLex
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word…
Non-configurationality in diachrony
Non-configurationality is a linguistic property associated with free word order, discontinuous constituents, including NPs, and null anaphora of referential arguments. Quantitative metrics, based both on local networks (syntactic trees and word order within sentences) and on global networks (incorporating the relations within a whole treebank into a shared graph), can reveal correlations among these features. Using treebanks we focus on diachroni…
Modeling Language Variation and Universals
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer from the lack of human labeled resources. We present an extensive literature survey on the use of typological information in the development of NLP techniques. Our survey demonstrates that to date, the u…
Multi-SimLex
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language data set is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word…
Artificial Intelligence (3 works) · Computer Science (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Language and cultural evolution (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Concreteness (1 work) · Feature (linguistics (1 work) · Granularity (1 work)