Abstract
In this paper, we show an approach to ex-
tracting different types of constraint rules
from a dependency treebank. Also, we
show an approach to integrating these con-
straint rules into a dependency data-driven
parser, where these constraint rules in-
form parsing decisions in specific situa-
tions where a set of parsing rule (which is
induced from a classifier) may recommend
several recommendations to the parser.
Our experiments have shown that parsing
accuracy could be improved by using dif-
ferent sets of constraint rules in combina-
tion with a set of parsing rules. Our parser
is based on the arc-standard algorithm of
MaltParser but with a number of exten-
sions, which we will discuss in some de-
tail.
tracting different types of constraint rules
from a dependency treebank. Also, we
show an approach to integrating these con-
straint rules into a dependency data-driven
parser, where these constraint rules in-
form parsing decisions in specific situa-
tions where a set of parsing rule (which is
induced from a classifier) may recommend
several recommendations to the parser.
Our experiments have shown that parsing
accuracy could be improved by using dif-
ferent sets of constraint rules in combina-
tion with a set of parsing rules. Our parser
is based on the arc-standard algorithm of
MaltParser but with a number of exten-
sions, which we will discuss in some de-
tail.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Recent Advances in Natural Language Processing |
| Subtitle of host publication | Hissar, Bulgaria, Sep 7–9 2015 |
| Editors | Galia Angelova, Kalina Bontcheva, Ruslan Mitkov |
| Pages | 232-238 |
| Number of pages | 7 |
| Publication status | Published - 7 Sept 2015 |
| Event | Recent Advances in Natural Language Processing - Hissar, Bulgaria Duration: 7 Sept 2015 → 9 Sept 2015 |
Conference
| Conference | Recent Advances in Natural Language Processing |
|---|---|
| City | Hissar, Bulgaria |
| Period | 7/09/15 → 9/09/15 |
Keywords
- data-driven parsing
- hybrid parsing
- constraint rules extraction
- NLP parsing
- Arabic parsing