Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations
Authors: Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We show improved relation clustering results on two datasets extracted from human annotated knowledge base (i.e., Freebase) and open information extraction results (i.e., Re Verb data).In this section, we evaluate the proposed approach on two real world datasets. |
| Researcher Affiliation | Collaboration | Chenguang Wanga, Yangqiu Songb, Dan Rothb, Chi Wangc, Jiawei Hanb, Heng Jid, Ming Zhanga a School of EECS, Peking University b Department of Computer Science, University of Illinois at Urbana-Champaign c Microsoft Research, d Department of Computer Science, Rensselaer Polytechnic Institute |
| Pseudocode | Yes | Algorithm 1 Alternating Optimization for CTGC. |
| Open Source Code | No | The paper does not explicitly state that open-source code for the described methodology is provided or link to a repository. |
| Open Datasets | Yes | Freebase is a publicly available knowledge base containing over 2 billions relation expressions between 40 millions entities.We employ the open IE system, Reverb [Fader et al., 2011], to generate relation triplets from Wikipedia sentences containing at least one entity in Rel-KB. |
| Dataset Splits | No | The paper does not explicitly provide training/validation/test dataset splits with specific percentages, counts, or references to predefined splits. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running its experiments. |
| Software Dependencies | No | The paper mentions 'Tensor Toolbox for Matlab' but does not specify a version number or other software with specific version details. |
| Experiment Setup | Yes | In the following experiments, both the relation and entity cluster numbers are set to 6 (for both E1 and E2), the ground-truth number, respectively. Moreover, the trade-off parameters am1,m2 and am1,m2 for constraints in Eqs. (3) and (4) are empirically set to 1/ M for relations and 1/ VI (I {1, 2}) for entities following [Song et al., 2013]. |