Did You Know? — Mining Interesting Trivia for Entities from Wikipedia
Authors: Abhay Prakash, Manoj Kumar Chinnakotla, Dhaval Patel, Puneet Garg
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluated our system on movies domain and observed that the system performs significantly better than the defined baselines. A thorough qualitative analysis of the results revealed that our rich set of features indeed help in surfacing interesting trivia in the top ranks. |
| Researcher Affiliation | Collaboration | Abhay Prakash1, Manoj K. Chinnakotla2, Dhaval Patel1, Puneet Garg2 1Indian Institute of Technology, Roorkee, India 2Microsoft, India abhayprakash@outlook.com, {manojc,puneetga}@microsoft.com, patelfec@iitr.ac.in |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described in this paper. |
| Open Datasets | Yes | We harness publicly available user-generated trivia data from IMDB. |
| Dataset Splits | Yes | We tuned the kernel, model parameters C and e using five-fold cross validation and rest of the values were set to default. The best parameters were found to be a linear kernel with C = 17 and e = 0.21. |
| Hardware Specification | No | The paper does not provide specific hardware details (like GPU/CPU models, processors, or memory) used for running its experiments. |
| Software Dependencies | No | We used the SV M rank package [Joachims, 2006] for implementing the interestingness ranker. |
| Experiment Setup | Yes | We tuned the kernel, model parameters C and e using five-fold cross validation and rest of the values were set to default. The best parameters were found to be a linear kernel with C = 17 and e = 0.21. |