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<!DOCTYPE html>
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<title>Stanford University CS224d: Deep Learning for Natural Language Processing</title>
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<h1>CS224d: Deep Learning for Natural Language Processing</h1>
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<h2>Reports for 2016</h2>
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<div class="container sec">
<table class="table">
<tr class="active">
<th>Project Name</th><th>Authors</th>
</tr>
<tr>
<td> <a href="reports/aja2015.pdf"> Abstractive Sentence Summarization with Attentive Deep Recurrent Neural Networks</a> </td> <td> Alex Alifimoff</td>
</tr>
<tr>
<td> <a href="reports/allenh.pdf"> Deep Learning for Music</a> </td> <td> Allen Huang/ Raymond Wu</td>
</tr>
<tr>
<td> <a href="reports/christianfong.pdf"> Identifying Delegation in Congressional Bills</a> </td> <td> Christian Fong</td>
</tr>
<tr>
<td> <a href="reports/itingfan.pdf"> Deep Learning for Query Semantic Domains Classification</a> </td> <td> I-Ting Fang</td>
</tr>
<tr>
<td> <a href="reports/jessesz.pdf"> Learning the Language of the Genome using RNNs</a> </td> <td> Jesse M. Zhang / Govinda M. Kamarth </td>
</tr>
<tr>
<td> <a href="reports/lefrankl.pdf"> Predicting Closed Stack Overflow Questions</a> </td> <td> Levi Franklin</td>
</tr>
<tr>
<td> <a href="reports/lucilley.pdf"> Abstractive Summarization for Amazon Reviews</a> </td> <td> Lu Yang </td>
</tr>
<tr>
<td> <a href="reports/lukelefebure.pdf"> ICD-9 Coding of Discharge Summaries</a> </td> <td> Luke Lefebure</td>
</tr>
<tr>
<td> <a href="reports/mcelamri.pdf">Automated Neural Image Caption Generator for Visually Impaired People</a> </td> <td> Christopher Elamri, Teun de Planque</td>
</tr>
<tr>
<td> <a href="reports/mdickens.pdf">"I Have the Best Classifiers": Identifying Speech Imitating the Style of Donal Trump</a> </td> <td> Michael Dickens</td>
</tr>
<tr>
<td> <a href="reports/msoh.pdf">Learning CNN-LSTM Architectures for Image Caption Generation</a> </td> <td> Moses Soh</td>
</tr>
<tr>
<td> <a href="reports/mwlow.pdf">Character-level Recurrent Text Prediction</a> </td> <td> Melvin Low</td>
</tr>
<tr>
<td> <a href="reports/roychan.pdf">Designer Chatbots for Lonely People</a> </td> <td> Roy Chan</td>
</tr>
<tr>
<td> <a href="reports/tym1.pdf">Using Feedforward and Recurrent Neural Networks to Predict a Blogger's Age</a> </td> <td> Tim Moon / Eric Liu</td>
</tr>
<tr>
<td> <a href="reports/weiyi.pdf">Binarized Neural Networks for Language Modeling</a> </td> <td> Weiyi Zheng / Yina Tang</td>
</tr>
<tr>
<td> <a href="reports/zhenpeng.pdf">A Hierarchical Model for Text Autosummarization</a> </td> <td> Zhengpeng Zhou</td>
</tr>
<tr>
<td> <a href="reports/aojia.pdf">Predicting Popularity of Fanfiction Stories Based on Title and Summary</a> </td> <td> Aojia Zhao</td>
</tr>
<tr>
<td> <a href="reports/poorna.pdf">Explorations in Identifying and Summarizing Subjective Content in Text</a> </td> <td> Poorna Kumar / Viswajith Venugopal</td>
</tr>
<tr>
<td> <a href="reports/nikhil.pdf">Transfer Learning: The Impact of Test Set Word Vectors, with Applications to Political Tweets</a> </td> <td> Nikhil Garg / Arjun Seshadri</td>
</tr>
<tr>
<td> <a href="reports/shuhui.pdf">Visual Question Answering Using Various Methods</a> </td> <td> Shuhui Qu</td>
</tr>
<tr>
<td> <a href="reports/edward.pdf">Whose Line Is It? – Quote Attribution through Recurrent Neural Networks</a> </td> <td> Edward Schemerling</td>
</tr>
<tr>
<td> <a href="reports/zack.pdf">LSTMs and Dynamic Memory Networks for Human-Written Simple Question Answering</a> </td> <td> Zack Swafford / Alex Barron</td>
</tr>
<tr>
<td> <a href="reports/pascal.pdf">The art of deep learning (applied to NLP)</a> </td> <td> Pascal Pompey</td>
</tr>
<tr>
<td> <a href="reports/qian.pdf">Dynamic Memory Network on Natural Language Question-Answering</a> </td> <td> Qian Lin / Hongyu Xiong</td>
</tr>
<tr>
<td> <a href="reports/chase.pdf">A Survey of Techniques for Sentiment Analysis in Movie Reviews and Deep Stochastic Recurrent Nets</a> </td> <td> Chase Lochmiller</td>
</tr>
<tr>
<td> <a href="reports/yuan.pdf">Neural Theorem Prover</a> </td> <td> Yuan Arianna</td>
</tr>
<tr>
<td> <a href="reports/allen.pdf">Stochastic Dropout: Activation-level Dropout to Learn Better Neural Language Models</a> </td> <td> Allen Nie</td>
</tr>
<tr>
<td> <a href="reports/yixin.pdf">Gated Recurrent Units for Airline Sentiment Analysis of Twitter Data</a> </td> <td> Yixin Tang / Jiada Liu</td>
</tr>
<tr>
<td> <a href="reports/allan.pdf">Dynamic Inference: Using Dynamic Memory Networks for Question Answering</a> </td> <td> Allan Jiang / Chaitanya Asawa</td>
</tr>
<tr>
<td> <a href="reports/oguz.pdf">Learning Language Models of Movie Characters</a> </td> <td> Oguz H. Elibol</td>
</tr>
<tr>
<td> <a href="reports/Ilan.pdf">DeepRock</a> </td> <td> Ilan Goodman / Sunil Pan</td>
</tr>
<tr>
<td> <a href="reports/aashna.pdf">Understanding Hollywood through Dialogues</a> </td> <td> Aashana Garg / Vinaya Polamreddi</td>
</tr>
<tr>
<td> <a href="reports/billovits.pdf">Using Contextual Information for Neural Natural Language Inference</a> </td> <td> Billovits, C. / Eric, M.</td>
</tr>
<tr>
<td> <a href="reports/chuan.pdf">Constituency-Tree Recursive Neural Network for Quiz Bowl Answering</a> </td> <td> Chuan Tian / Wenyue Sun</td>
</tr>
<tr>
<td> <a href="reports/ChenXiong.pdf">Predict the Relevance of Search Results on Homedepot.com</a> </td> <td> Luyang Chen / Ruoxuan Xiong</td>
</tr>
<tr>
<td> <a href="reports/LeeNguyen.pdf">Protein Family Classification with Neural Networks</a> </td> <td> Timothy K. Lee / Tuan Nguyen</td>
</tr>
<tr>
<td> <a href="reports/HoHuang.pdf">Attend and Hop</a> </td> <td> Tin-Yun Ho / Jade Huang</td>
</tr>
<tr>
<td> <a href="reports/RaghuvanshiChase.pdf">Dynamic Memory Networks for Question Answering</a> </td> <td> Arushi Raghuvanshi / Patrick Chase</td>
</tr>
<tr>
<td> <a href="reports/GuptaDesai.pdf">Extensions to Tree-Recursive Neural Networks for Natural Language Inference</a> </td> <td> Raghav Gupta / Nihit Desai</td>
</tr>
<tr>
<td> <a href="reports/O'BrienRom´an.pdf">A Recurrent Neural Network for Musical Structure Processing and Expectation</a> </td> <td> Tim O’Brien / Iran Rom´an</td>
</tr>
<tr>
<td> <a href="reports/Thirman.pdf">Novel Image Captioning</a> </td> <td> Daniel Thirman</td>
</tr>
<tr>
<td> <a href="reports/YangAgrawal.pdf">Log File Anomaly Detection</a> </td> <td> Tian Yang / Vikas Agrawal</td>
</tr>
<tr>
<td> <a href="reports/ZhouXu.pdf">Amazon Food Review Classification using Deep Learning and Recommender System</a> </td> <td> Zhenxiang Zhou / Lan Xu</td>
</tr>
<tr>
<td> <a href="reports/Schuster.pdf">Neural Networks for Natural Language Inference</a> </td> <td> Sebastian Schuster</td>
</tr>
<tr>
<td> <a href="reports/MargaritSubramaniam.pdf">A Batch-Normalized Recurrent Network for Sentiment Classification</a> </td> <td> Horia Margarit / Raghav Subramaniam</td>
</tr>
<tr>
<td> <a href="reports/Hildick-SmithBahtchevanov.pdf">Deep Learning for Natural Language Sequence Labelling Applied to Epigenomics </a> </td> <td> Seth Hildick-Smith / Ivaylo Bahtchevanov</td>
</tr>
<tr>
<td> <a href="reports/Lambert.pdf">Sentiment analysis of adverse vaccine event reports</a> </td> <td> Gregory J. Lambert</td>
</tr>
<tr>
<td> <a href="reports/ChenHristov.pdf">A Deep Learning Analytic Suite for Maximizing Twitter Impact</a> </td> <td> Zhao Chen / Alexander Hristov</td>
</tr>
<tr>
<td> <a href="reports/Chavez.pdf">Reddit Comment Generator - Project Report</a> </td> <td> Braulio Chavez</td>
</tr>
<tr>
<td> <a href="reports/StrohMathur.pdf">Question Answering Using Deep Learning</a> </td> <td> Eylon Stroh / Priyank Mathur</td>
</tr>
<tr>
<td> <a href="reports/InanKhosravi.pdf">Improved Learning through Augmenting the Loss</a> </td> <td> Hakan Inan / Khashayar Khosravi</td>
</tr>
<tr>
<td> <a href="reports/O'Neal.pdf">Predicting Words from their Description 1</a> </td> <td> Troy O’Neal</td>
</tr>
<tr>
<td> <a href="reports/GoHata.pdf">CS224D Final Report: Deep Recurrent Attention Networks for LATEX to Source</a> </td> <td> Keegan Go / Kenji Hata</td>
</tr>
<tr>
<td> <a href="reports/FengLin.pdf">Sentiment Classification of Food Reviews</a> </td> <td> Hua Feng / Ruixi Lin</td>
</tr>
<tr>
<td> <a href="reports/Nguy.pdf">Evaluate Helpfulness in Amazon Reviews Using Deep Learning</a> </td> <td> Bobby Nguy</td>
</tr>
<tr>
<td> <a href="reports/PradhanLongpre.pdf">Exploring the Depths of Recurrent Neural Networks with Stochastic Residual Learning</a> </td> <td> Sabeek Pradhan / Shayne Longpre</td>
</tr>
<tr>
<td> <a href="reports/Rodriguez.pdf">Learning hypernymy in distributed word vectors via a stacked LSTM network</a> </td> <td> Irving Rodriguez</td>
</tr>
<tr>
<td> <a href="reports/Bogatyy.pdf">Predicting answer types for question-answering</a> </td> <td> Ivan Bogatyy</td>
</tr>
<tr>
<td> <a href="reports/Mahendra.pdf">Personified Autoresponder</a> </td> <td> Arun Mahendra</td>
</tr>
<tr>
<td> <a href="reports/Tang.pdf">Wikification: Entity annotation with Wikipedia</a> </td> <td> Jie Tang</td>
</tr>
<tr>
<td> <a href="reports/SohmshettyRamachandran.pdf">Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)</a> </td> <td> Ajay Sohmshetty / Govardana Sachithanandam Ramachandran</td>
</tr>
<tr>
<td> <a href="reports/ChowHong.pdf">Topical Classification and Divergence on Reddit</a> </td> <td> Amanda Chow / Jenny Hong</td>
</tr>
<tr>
<td> <a href="reports/Suresha.pdf">Summarizing Reviews and Predicting Rating for Yelp Dataset</a> </td> <td> Suhas Suresha</td>
</tr>
<tr>
<td> <a href="reports/PastelVillanueva.pdf">Discovering Adverse Drug Reactions via Natural Language Processing of Twitter Posts</a> </td> <td> Benjamin Pastel / Blanca Villanueva</td>
</tr>
<tr>
<td> <a href="reports/Sax.pdf">Flame Wars: Automatic Insult Detection</a> </td> <td> Sasha Sax</td>
</tr>
<tr>
<td> <a href="reports/Lambert.pdf">Stacked RNNs for Encoder-Decoder Networks: Accurate Machine Understanding of Images</a> </td> <td> John Lambert</td>
</tr>
<tr>
<td> <a href="reports/Zucker.pdf">Microblog Geolocation using Language Variation Deep Learning</a> </td> <td> David Zucker</td>
</tr>
<tr>
<td> <a href="reports/BalakrishnanDixit.pdf">DeepPlaylist: Using Recurrent Neural Networks to Predict Song Similarity</a> </td> <td> Anusha Balakrishnan / Kalpit Dixit</td>
</tr>
<tr>
<td> <a href="reports/Longwell.pdf">Distributed Representations for Automating MeSH Indexing</a> </td> <td> Scott A Longwell</td>
</tr>
<tr>
<td> <a href="reports/adiwardana.pdf">Question Answering with Dynamic Memory
Networks from Knowledge Encoded in Natural
Language</a> </td> <td> Daniel De Freitas Adiwardana / Siamak Shakeri</td>
</tr>
<tr>
<td> <a href="reports/McCannRoth.pdf">All for One: Multi-Modal, Multi-Tasking</a> </td> <td> Bryan McCann / Nat Roth</td>
</tr>
<tr>
<td> <a href="reports/stitt.pdf">Sentiment Analysis using LSTM Networks and their Effectiveness on Data
Varying from the Training Domain</a> </td> <td> Thomas McHale Stitt</td>
</tr>
<tr>
<td> <a href="reports/LiuSingh.pdf">A Recurrent Neural Network Based Recommendation System</a> </td> <td> David Zhan Liu / Gurbir Singh</td>
</tr>
<tr>
<td> <a href="reports/ZhouWang.pdf">News Authorship Identification with Deep Learning</a> </td> <td> Huafei Wang / Liuyu Zhou</td>
</tr><tr>
<td> <a href="reports/GoelNaik.pdf">DeepSeek: A video captioning tool for making videos searchable</a> </td> <td> Kratarth Goel / Juhi Naik</td>
</tr>
<tr>
<td> <a href="reports/mmongia.pdf">Skip Connections and Multiple Matrices in Recurrent Neural Networks</a> </td> <td> Mihir Mongia</td>
</tr>
<tr>
<td> <a href="reports/cdonnelly.pdf">Image Caption Generation with Recursive Neural Networks</a> </td> <td> Christine Donnelly</td>
</tr>
<tr>
<td> <a href="reports/WuJi.pdf">Deep Learning for Amazon Food Review Sentiment Analysis</a> </td> <td> Jiayu Wu / Tianshu Ji</td>
</tr>
<tr>
<td> <a href="reports/akuefler.pdf">Merging Recurrence and Inception-Like Convolution for Sentiment Analysis</a> </td> <td> Alex Kuefler</td>
</tr>
<tr>
<td> <a href="reports/Lewis.pdf">Sentence Correction using Recurrent Neural Networks</a> </td> <td> Gene Lewis</td>
</tr>
<tr>
<td> <a href="reports/ShenYin.pdf">Understanding pro-social landing: prediction of funding time using loan descriptions on Kiva</a> </td> <td> Yuanyuan Shen / Zi Yin</td>
</tr>
<tr>
<td> <a href="reports/Banerjee.pdf">Knowledge extraction from medical literature using Recurrent Neural Networks</a> </td> <td> Abhimanyu Banerjee</td>
</tr>
<tr>
<td> <a href="reports/dao.pdf">Neural Network Ensembles for Sentiment Classification</a> </td> <td> Tri Dao</td>
</tr>
<tr>
<td> <a href="reports/fu.pdf">Concept Linking for Clinical Text</a> </td> <td> Justin Fu</td>
</tr>
<tr>
<td> <a href="reports/PengLuo.pdf">Show, Discriminate, and Tell: A Discriminatory Image Captioning Model with Deep Neural Networks</a> </td> <td> Alan Zelun Luo / Boya Peng</td>
</tr>
<tr>
<td> <a href="reports/huyenn.pdf">Neural Networks for Automated Essay Grading</a> </td> <td> Huyen Nguyen / Lucio Dery</td>
</tr>
<tr>
<td> <a href="reports/Lichy.pdf">Natural Language Inference, Sentence representation and Attention Mechanism</a> </td> <td> Cyprien de Lichy</td>
</tr>
<tr>
<td> <a href="reports/MisraBasak.pdf">Political Bias Analysis</a> </td> <td> Arkajyoti Misra / Sanjib Basak</td>
</tr>
</table>
</div>
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