Index of papers in Proc. ACL 2008 that mention
  • dependency relations
Chan, Yee Seng and Ng, Hwee Tou
Abstract
This general framework allows us to use arbitrary similarity functions between items, and to incorporate different information in our comparison, such as n-grams, dependency relations , etc.
Introduction
In this paper, we propose a new automatic MT evaluation metric, MAXSIM, that compares a pair of system-reference sentences by extracting n-grams and dependency relations .
Introduction
Recognizing that different concepts can be expressed in a variety of ways, we allow matching across synonyms and also compute a score between two matching items (such as between two n-grams or between two dependency relations ), which indicates their degree of similarity with each other.
Introduction
Also, this framework allows for defining arbitrary similarity functions between two matching items, and we could match arbitrary concepts (such as dependency relations ) gathered from a sentence pair.
Metric Design Considerations
Hence, using information such as synonyms or dependency relations could potentially address the issue better.
Metric Design Considerations
4.2 Dependency Relations
Metric Design Considerations
Hence, besides matching based on n-gram strings, we can also match other “information items”, such as dependency relations .
dependency relations is mentioned in 10 sentences in this paper.
Topics mentioned in this paper:
Kazama, Jun'ichi and Torisawa, Kentaro
Abstract
We propose using large-scale clustering of dependency relations between verbs and multi-word nouns (MN 5) to construct a gazetteer for named entity recognition (N ER).
Abstract
Since dependency relations capture the semantics of MN 5 well, the MN clusters constructed by using dependency relations should serve as a good gazetteer.
Gazetteer Induction 2.1 Induction by MN Clustering
2.2 EM-based Clustering using Dependency Relations
Introduction
g of Dependency Relations
Related Work and Discussion
By paralleliz-ing the clustering algorithm, we successfully constructed a cluster gazetteer with up to 500,000 entries from a large amount of dependency relations in Web documents.
dependency relations is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Li, Jianguo and Brew, Chris
Integration of Syntactic and Lexical Information
Dependency relation (DR): Our way to overcome data sparsity is to break lexicalized frames into lexicalized slots (a.k.a.
Integration of Syntactic and Lexical Information
dependency relations ).
Integration of Syntactic and Lexical Information
Dependency relations contain both syntactic and lexical information (4).
dependency relations is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Ding, Shilin and Cong, Gao and Lin, Chin-Yew and Zhu, Xiaoyan
Context and Answer Detection
However, they cannot capture the dependency relationship between sentences.
Context and Answer Detection
To label 810, we need consider the dependency relation between Q2 and Q3.
Context and Answer Detection
The labels of the same sentence for two contiguous questions in a thread would be conditioned on the dependency relationship between the questions.
Introduction
One is the dependency relationship between contexts and answers, which should be leveraged especially when questions alone do not provide sufficient information to find answers; the other is the dependency between answer candidates (similar to sentence dependency described above).
dependency relations is mentioned in 4 sentences in this paper.
Topics mentioned in this paper:
Mírovský, Jiří
Phenomena and Requirements
The edges eXpress dependency relations between nodes.
Phenomena and Requirements
The predicative complement is a nonobligatory free modification (adjunct) which has a dual semantic dependency relation .
Phenomena and Requirements
These two dependency relations are represented by different means (t-manual, page 376):
dependency relations is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: