Knowledge-based Word Sense Disambiguation using Topic Models
Authors: Devendra Singh Chaplot, Ruslan Salakhutdinov
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate the proposed method on Senseval-2, Senseval-3, Sem Eval-2007, Sem Eval-2013 and Sem Eval-2015 English All-Word WSD datasets and show that it outperforms the state-of-the-art unsupervised knowledge-based WSD system by a significant margin. |
| Researcher Affiliation | Academia | Devendra Singh Chaplot, Ruslan Salakhutdinov {chaplot,rsalakhu}@cs.cmu.edu Machine Learning Department School of Computer Science Carnegie Mellon University |
| Pseudocode | No | The paper includes a graphical model (Figure 4) and describes a generative process with formulas, but it does not contain pseudocode or a clearly labeled algorithm block. |
| Open Source Code | No | The paper does not contain any statement or link indicating that the source code for the methodology is openly available. |
| Open Datasets | Yes | For evaluating our system, we use the English all-word WSD task benchmarks of the Sens Eval-2 (Palmer et al. 2001), Sens Eval-3 (Snyder and Palmer 2004), Sem Eval2007 (Pradhan et al. 2007), Sem Eval-2013 (Navigli, Jurgens, and Vannella 2013) and Sem Eval-2015 (Moro and Navigli 2015). |
| Dataset Splits | Yes | We use the standardized version of all the datasets and use the same experimental setting as (Raganato, Camacho-Collados, and Navigli 2017) for fair comparison with prior methods. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used to run the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies or version numbers needed to replicate the experiment. |
| Experiment Setup | No | The paper describes the proposed model and the inference method (Gibbs Sampling) but does not provide specific details on hyperparameters, training configurations, or system-level settings. |