The Role of Implicit Argumentation in Nominal SRL
نویسندگان
چکیده
Nominals frequently surface without overtly expressed arguments. In order to measure the potential benefit of nominal SRL for downstream processes, such nominals must be accounted for. In this paper, we show that a state-of-the-art nominal SRL system with an overall argument F1 of 0.76 suffers a performance loss of more than 9% when nominals with implicit arguments are included in the evaluation. We then develop a system that takes implicit argumentation into account, improving overall performance by nearly 5%. Our results indicate that the degree of implicit argumentation varies widely across nominals, making automated detection of implicit argumentation an important step for nominal SRL.
منابع مشابه
Improving Nominal SRL in Chinese Language with Verbal SRL Information and Automatic Predicate Recognition
This paper explores Chinese semantic role labeling (SRL) for nominal predicates. Besides those widely used features in verbal SRL, various nominal SRL-specific features are first included. Then, we improve the performance of nominal SRL by integrating useful features derived from a state-of-the-art verbal SRL system. Finally, we address the issue of automatic predicate recognition, which is ess...
متن کاملCan Selectional Preferences Help Automatic Semantic Role Labeling?
We describe a topic model based approach for selectional preference. Using the topic features generated by an LDA model on the extracted predicate-arguments over the Chinese Gigaword corpus, we show improvement to our state-of-the-art Chinese SRL system by 2.34 F1 points on arguments of nominal predicates, 0.40 F1 point on arguments of verb predicates, and 0.66 F1 point overall. More over, simi...
متن کاملChinese Semantic Role Labeling with Dependency-Driven Constituent Parse Tree Structure
This paper explores a tree kernel-based method for nominal semantic role labeling (SRL). In particular, a new dependency-driven constituent parse tree (D-CPT) structure is proposed to better represent the dependency relations in a CPT-style structure, which employs dependency relation types instead of phrase labels in CPT. In this way, D-CPT not only keeps the dependency relationship informatio...
متن کاملSEMANTIC ROLE LABELING OF IMPLICIT ARGUMENTS FOR NOMINAL PREDICATES By
SEMANTIC ROLE LABELING OF IMPLICIT ARGUMENTS FOR NOMINAL PREDICATES
متن کاملSemantic Role Labeling Using Lexicalized Tree Adjoining Grammars
The predicate-argument structure (PAS) of a natural language sentence is a useful representation that can be used for a deeper analysis of the underlying meaning of the sentence or directly used in various natural language processing (NLP) applications. The task of semantic role labeling (SRL) is to identify the predicate-argument structures and label the relations between the predicate and eac...
متن کامل