1.5k citations · 4.6k across the 46 of their papers we have counts for
8 papers · 2 filters
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin, Hinrich Schütze, Bing Xiang +1
How to model a pair of sentences is a critical issue in many NLP tasks such as answer selection (AS), paraphrase identification (PI) and textual entailment (TE). Most prior work (i…
Empirical Study on Deep Learning Models for Question Answering
Yang Yu, Wei Zhang, Chung-Wei Hang +2
In this paper we explore deep learning models with memory component or attention mechanism for question answering task. We combine and compare three models, Neural Machine Translat…
Good, Better, Best: Choosing Word Embedding Context
James Cross, Bing Xiang, Bowen Zhou
We propose two methods of learning vector representations of words and phrases that each combine sentence context with structural features extracted from dependency trees. Using se…
LSTM-based Deep Learning Models for Non-factoid Answer Selection
Ming Tan, Cicero dos Santos, Bing Xiang +1
In this paper, we apply a general deep learning (DL) framework for the answer selection task, which does not depend on manually defined features or linguistic tools. The basic fram…
Applying Deep Learning to Answer Selection: A Study and An Open Task
Minwei Feng, Bing Xiang, Michael R. Glass +2
We apply a general deep learning framework to address the non-factoid question answering task. Our approach does not rely on any linguistic tools and can be applied to different la…
Dependency-based Convolutional Neural Networks for Sentence Embedding
Mingbo Ma, Liang Huang, Bing Xiang +1
In sentence modeling and classification, convolutional neural network approaches have recently achieved state-of-the-art results, but all such efforts process word vectors sequenti…
Medical Synonym Extraction with Concept Space Models
Chang Wang, Liangliang Cao, Bowen Zhou
In this paper, we present a novel approach for medical synonym extraction. We aim to integrate the term embedding with the medical domain knowledge for healthcare applications. One…
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero Nogueira dos Santos, Bing Xiang, Bowen Zhou
Relation classification is an important semantic processing task for which state-ofthe-art systems still rely on costly handcrafted features. In this work we tackle the relation cl…