1.5k citations · 1.7k across the 6 of their papers we have counts for
7 papers
Passage Ranking with Weak Supervision
Peng Xu, Xiaofei Ma, Ramesh Nallapati +1
In this paper, we propose a \textit{weak supervision} framework for neural ranking tasks based on the data programming paradigm \citep{Ratner2016}, which enables us to leverage mul…
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…
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…
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…
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…
Attentive Pooling Networks
Cicero dos Santos, Ming Tan, Bing Xiang +1
In this work, we propose Attentive Pooling (AP), a two-way attention mechanism for discriminative model training. In the context of pair-wise ranking or classification with neural…