activity
20172024
most citedCORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding

35 citations · 88 across the 14 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2022

C3KG: A Chinese Commonsense Conversation Knowledge Graph

Dawei Li, Yanran Li, Jiayi Zhang +4

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps. To fill the gap,…

cs.CL2022

Just Rank: Rethinking Evaluation with Word and Sentence Similarities

Bin Wang, C. -C. Jay Kuo, Haizhou Li

Word and sentence embeddings are useful feature representations in natural language processing. However, intrinsic evaluation for embeddings lags far behind, and there has been no…

cs.CL2020

Focus-Constrained Attention Mechanism for CVAE-based Response Generation

Zhi Cui, Yanran Li, Jiayi Zhang +3

To model diverse responses for a given post, one promising way is to introduce a latent variable into Seq2Seq models. The latent variable is supposed to capture the discourse-level…

cs.CL20201 cited

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

Xin Cong, Bowen Yu, Tingwen Liu +3

Few-shot classification tends to struggle when it needs to adapt to diverse domains. Due to the non-overlapping label space between domains, the performance of conventional domain…

cs.CL202013 cited

Unified Multi-Criteria Chinese Word Segmentation with BERT

Zhen Ke, Liang Shi, Erli Meng +3

Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word boundaries in a Chinese sentence composed of continuous characters while multiple segmentation criteria exist.…

cs.CL2017

Learning neural trans-dimensional random field language models with noise-contrastive estimation

Bin Wang, Zhijian Ou

Trans-dimensional random field language models (TRF LMs) where sentences are modeled as a collection of random fields, have shown close performance with LSTM LMs in speech recognit…