activity
20182020
most citedEntity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation

19 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2020★ 3 cited

Relation Extraction with Explanation

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini +1

Recent neural models for relation extraction with distant supervision alleviate the impact of irrelevant sentences in a bag by learning importance weights for the sentences. Effort…

cs.CL2019★ 19 cited

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini +2

We present a new local entity disambiguation system. The key to our system is a novel approach for learning entity representations. In our approach we learn an entity aware extensi…

cs.CL2019★ 12 cited

Saliency Learning: Teaching the Model Where to Pay Attention

Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi +1

Deep learning has emerged as a compelling solution to many NLP tasks with remarkable performances. However, due to their opacity, such models are hard to interpret and trust. Recen…

cs.CL2018★ 3 cited

Joint Neural Entity Disambiguation with Output Space Search

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini +3

In this paper, we present a novel model for entity disambiguation that combines both local contextual information and global evidences through Limited Discrepancy Search (LDS). Giv…

cs.CL2018★ 2 cited

Dependent Gated Reading for Cloze-Style Question Answering

Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi +1

We present a novel deep learning architecture to address the cloze-style question answering task. Existing approaches employ reading mechanisms that do not fully exploit the interd…