An unsupervised approach for linking automatically extracted and manually crafted LTAGs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Though the lack of semantic representation of automatically extracted LTAGs is an obstacle in using these formalism, due to the advent of some powerful statistical parsers that were trained on them, these grammars have been taken into consideration more than before. Against of this grammatical class, there are some widely usage manually crafted LTAGs that are enriched with semantic representation but suffer from the lack of efficient parsers. The available representation of latter grammars beside the statistical capabilities of former encouraged us in constructing a link between them. Here, by focusing on the automatically extracted LTAG used by MICA [4] and the manually crafted English LTAG namely XTAG grammar [32], a statistical approach based on HMM is proposed that maps each sequence of former elementary trees onto a sequence of later elementary trees. To avoid of converging the HMM training algorithm in a local optimum state, an EM-based learning process for initializing the HMM parameters were proposed too. Experimental results show that the mapping method can provide a satisfactory way to cover the deficiencies arises in one grammar by the available capabilities of the other.
Original language | English |
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Title of host publication | Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings |
Number of pages | 14 |
Publication date | 2011 |
Edition | PART 1 |
Pages | 68-81 |
ISBN (Print) | 9783642193996 |
DOIs | |
Publication status | Published - 2011 |
Event | 12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011 - Tokyo, Japan Duration: 20 Feb 2011 → 26 Feb 2011 |
Conference
Conference | 12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011 |
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Land | Japan |
By | Tokyo |
Periode | 20/02/2011 → 26/02/2011 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 1 |
Volume | 6608 LNCS |
ISSN | 0302-9743 |
- Automatically Extracted Tree Adjoining Grammar, Grammar Mapping, HMM Initialization, MICA, Semantic Representation, Supertagging, XTAG Derivation Tree
Research areas
ID: 366047966