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20152023
most citedA Structured Self-attentive Sentence Embedding

1.5k citations · 3.5k across the 68 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CL2017★ 1 cited

Group Sparse CNNs for Question Classification with Answer Sets

Mingbo Ma, Liang Huang, Bing Xiang +1

Question classification is an important task with wide applications. However, traditional techniques treat questions as general sentences, ignoring the corresponding answer data. I…

cs.CL2017★ 5 cited

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Mingbo Ma, Kai Zhao, Liang Huang +2

Sentence-level classification and sequential labeling are two fundamental tasks in language understanding. While these two tasks are usually modeled separately, in reality, they ar…

cs.CL2017★ 53 cited

Improved Neural Relation Detection for Knowledge Base Question Answering

Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3

Relation detection is a core component for many NLP applications including Knowledge Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural netwo…

cs.CL2017★ 1.5k cited

A Structured Self-attentive Sentence Embedding

Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4

This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention. Instead of using a vector, we use a 2-D matrix to represent the em…

cs.CL2017★ 41 cited

Neural Models for Sequence Chunking

Feifei Zhai, Saloni Potdar, Bing Xiang +1

Many natural language understanding (NLU) tasks, such as shallow parsing (i.e., text chunking) and semantic slot filling, require the assignment of representative labels to the mea…