| dc.identifier.uri | http://hdl.handle.net/11401/77308 | |
| dc.description.sponsorship | This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. | en_US |
| dc.format | Monograph | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Thesis | |
| dcterms.abstract | In this work, we generate activity diagrams of the recipe text automatically, with the help of narrative event chains. Cooking recipes, that have predominantly imperative sentences, present unique challenges in the form of frequent argument drops and co-reference resolution over evolving (or merging) entities. Here, we introduce an unsupervised approach to automatically recover the recipe flow graphs. Then we illustrate the usefulness of our learned models via narrative cloze task; for the automatic evaluation of our learned models, we make use of one of the oft-used task in Discourse analysis, namely the sentence re-ordering and illustrate their utility. To report the effectiveness of our diagramming algorithm, we report the Precision-Recall metric based on the small set of gold-standard annotations that we made. To evaluate a diagramming algorithm on a large scale we need a lot of human annotations. To this end we propose a design for a Game with a purpose (GWAP) that could help us in crowd-sourcing the human annotations. We describe the game design with regards to ease of game play and the considerations that could be taken to keep the player motivated. This game could be used to build a richly annotated recipes corpus. We leave the task of building the game as a future work. | |
| dcterms.available | 2017-09-20T16:52:28Z | |
| dcterms.contributor | Choi, Yejin | en_US |
| dcterms.contributor | Skiena, Steven | en_US |
| dcterms.contributor | Fodor, Paul. | en_US |
| dcterms.creator | Ponnuraj, Ganesa Thandavam | |
| dcterms.dateAccepted | 2017-09-20T16:52:28Z | |
| dcterms.dateSubmitted | 2017-09-20T16:52:28Z | |
| dcterms.description | Department of Computer Science. | en_US |
| dcterms.extent | 45 pg. | en_US |
| dcterms.format | Application/PDF | en_US |
| dcterms.format | Monograph | |
| dcterms.identifier | http://hdl.handle.net/11401/77308 | |
| dcterms.issued | 2014-12-01 | |
| dcterms.language | en_US | |
| dcterms.provenance | Made available in DSpace on 2017-09-20T16:52:28Z (GMT). No. of bitstreams: 1
Ponnuraj_grad.sunysb_0771M_12132.pdf: 1214807 bytes, checksum: d6e1fd4dbd2fdf0e06b98a6b80e2a424 (MD5)
Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | Arborescence, Evolving Entities, Implicit arguments, Language Understanding, Semantic Parsing | |
| dcterms.subject | Computer science | |
| dcterms.title | Learning to Read Recipes : Activity Diagramming with Narrative Event Chains | |
| dcterms.type | Thesis | |
