Pengxiang Cheng
Biographic Data
| ID | 6537018 |
|---|---|
| NAME | Pengxiang Cheng |
| GIVEN NAMES | Pengxiang |
| FAMILY NAME | Cheng |
| SIGNATURE | CHENG P |
| AFFILIATIONS | The University of Texas at Austin |
| ORCID | 0000-0001-5997-705X |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 0 |
Representing Meaning with a Combination of Logical and Distributional Models
NLP tasks differ in the semantic information they require, and at this time no single semantic representation fulfills all requirements. Logic-based representations characterize sentence structure, but do not capture the graded aspect of meaning. Distributional models give graded similarity ratings for words and phrases, but do not capture sentence structure in the same detail as logic-based approaches. It has therefore been argued that the two a…
No prominent works on this page.
Representing Meaning with a Combination of Logical and Distributional Models
NLP tasks differ in the semantic information they require, and at this time no single semantic representation fulfills all requirements. Logic-based representations characterize sentence structure, but do not capture the graded aspect of meaning. Distributional models give graded similarity ratings for words and phrases, but do not capture sentence structure in the same detail as logic-based approaches. It has therefore been argued that the two a…
Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Focus (optics (1 works) · Inference (1 works) · Knowledge base (1 works) · Logical consequence (1 works) · Natural language processing (1 works) · Natural Language Processing Techniques (1 works) · Probabilistic logic (1 works)