Outputs (14)

Deterministic Choices in a Data-driven Parser (2015)
Presentation / Conference Contribution
Jaf, S., Ramsay, A., Sharp, B., Lubaszewski, W., & Delmonte, R. (2015). Deterministic Choices in a Data-driven Parser. In Natural language processing and cognitive science : proceedings 2015 (95-103)

Data-driven parsers rely on recommendations from parse models, which are generated from a set of training data using a machine learning classifier, to perform parse operations. However, in some cases a parse model cannot recommend a parse action to a... Read More about Deterministic Choices in a Data-driven Parser.

The Application of Constraint Rules to Data-driven Parsing (2015)
Presentation / Conference Contribution
Jaf, S., Ramsay, A., Angelova, G., Bontcheva, K., & Mitkov, R. (2015). The Application of Constraint Rules to Data-driven Parsing. In Recent advances in natural language processing : 10th International conference, RANLP 2015, 7-9 September 2015, Hissar, Bulgaria ; proceedings (232-238)

In this paper, we show an approach to extracting different types of constraint rules from a dependency treebank. Also, we show an approach to integrating these constraint rules into a dependency data-driven parser, where these constraint rules inform... Read More about The Application of Constraint Rules to Data-driven Parsing.

Parser Hybridisation for Natural Languages (2013)
Presentation / Conference Contribution
Jaf, S., & Allan, R. (2013). Parser Hybridisation for Natural Languages.

Identifying and establishing structural relations between words in natural language sentences is called Parsing. Ambiguities in natural languages make parsing a difficult task. Parsing is more difficult when dealing with a structurally complex natura... Read More about Parser Hybridisation for Natural Languages.

Towards the Development of a Hybrid Parser for Natural Languages (2013)
Presentation / Conference Contribution
Jaf, S., Allan, R., Jones, A. V., & Ng, N. (2013). Towards the Development of a Hybrid Parser for Natural Languages. In 2013 Imperial College Computing Student Workshop (ICCSW’13) (49-56). https://doi.org/10.4230/oasics.iccsw.2013.49

In order to understand natural languages, we have to be able to determine the relations between words, in other words we have to be able to 'parse' the input text. This is a difficult task, especially for Arabic, which has a number of properties that... Read More about Towards the Development of a Hybrid Parser for Natural Languages.