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20162022
most citedImproving Distantly Supervised Relation Extraction using Word and Entity Based Attention

103 citations · 114 across the 5 of their papers we have counts for

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cs.CL2022★ 4 cited

Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research

Ekaterina Garmash, Edgar Tanaka, Ann Clifton +5

In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes. We give an overview of how the data was sampled, descriptive stat…

cs.CL2019★ 1 cited

Relating Simple Sentence Representations in Deep Neural Networks and the Brain

Sharmistha Jat, Hao Tang, Partha Talukdar +1

What is the relationship between sentence representations learned by deep recurrent models against those encoded by the brain? Is there any correspondence between hidden layers of…

cs.CL2018★ 103 cited

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

Sharmistha Jat, Siddhesh Khandelwal, Partha Talukdar

Relation extraction is the problem of classifying the relationship between two entities in a given sentence. Distant Supervision (DS) is a popular technique for developing relation…

cs.CL2017★ 4 cited

CANDiS: Coupled & Attention-Driven Neural Distant Supervision

Tushar Nagarajan, Sharmistha, Partha Talukdar

Distant Supervision for Relation Extraction uses heuristically aligned text data with an existing knowledge base as training data. The unsupervised nature of this technique allows…

cs.CL2016★ 2 cited

IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner

Lavanya Sita Tekumalla, Sharmistha

Interpretable semantic textual similarity (iSTS) task adds a crucial explanatory layer to pairwise sentence similarity. We address various components of this task: chunk level sema…