<?xml version="1.0" encoding="UTF-8" ?>
<volume id="W16">
  <paper id="1600">
    <title>Proceedings of the 1st Workshop on Representation Learning for NLP</title>
    <editor>Phil Blunsom</editor>
    <editor>Kyunghyun Cho</editor>
    <editor>Shay Cohen</editor>
    <editor>Edward Grefenstette</editor>
    <editor>Karl Moritz Hermann</editor>
    <editor>Laura Rimell</editor>
    <editor>Jason Weston</editor>
    <editor>Scott Wen-tau Yih</editor>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <url>http://anthology.aclweb.org/W16-16</url>
    <bibtype>book</bibtype>
    <bibkey>RepL4NLP:2016</bibkey>
  </paper>

  <paper id="1601">
    <title>Explaining Predictions of Non-Linear Classifiers in NLP</title>
    <author><first>Leila</first><last>Arras</last></author>
    <author><first>Franziska</first><last>Horn</last></author>
    <author><first>Gr&#233;goire</first><last>Montavon</last></author>
    <author><first>Klaus-Robert</first><last>M&#252;ller</last></author>
    <author><first>Wojciech</first><last>Samek</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>1&#8211;7</pages>
    <url>http://anthology.aclweb.org/W16-1601</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>arras-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1602">
    <title>Joint Learning of Sentence Embeddings for Relevance and Entailment</title>
    <author><first>Petr</first><last>Baudi&#x161;</last></author>
    <author><first>Silvestr</first><last>Stanko</last></author>
    <author><first>Jan</first><last>&#x160;ediv&#253;</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>8&#8211;17</pages>
    <url>http://anthology.aclweb.org/W16-1602</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>baudivs-stanko-vsedivy:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1603">
    <title>A Joint Model for Word Embedding and Word Morphology</title>
    <author><first>Kris</first><last>Cao</last></author>
    <author><first>Marek</first><last>Rei</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>18&#8211;26</pages>
    <url>http://anthology.aclweb.org/W16-1603</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>cao-rei:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1604">
    <title>On the Compositionality and Semantic Interpretation of English Noun Compounds</title>
    <author><first>Corina</first><last>Dima</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>27&#8211;39</pages>
    <url>http://anthology.aclweb.org/W16-1604</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>dima:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1605">
    <title>Functional Distributional Semantics</title>
    <author><first>Guy</first><last>Emerson</last></author>
    <author><first>Ann</first><last>Copestake</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>40&#8211;52</pages>
    <url>http://anthology.aclweb.org/W16-1605</url>
    <attachment type="poster">W16-1605.Poster.pdf</attachment>
    <bibtype>inproceedings</bibtype>
    <bibkey>emerson-copestake:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1606">
    <title>Assisting Discussion Forum Users using Deep Recurrent Neural Networks</title>
    <author><first>Jacob</first><last>Hagstedt P Suorra</last></author>
    <author><first>Olof</first><last>Mogren</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>53&#8211;61</pages>
    <url>http://anthology.aclweb.org/W16-1606</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>hagstedtpsuorra-mogren:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1607">
    <title>Adjusting Word Embeddings with Semantic Intensity Orders</title>
    <author><first>Joo-Kyung</first><last>Kim</last></author>
    <author><first>Marie-Catherine</first><last>de Marneffe</last></author>
    <author><first>Eric</first><last>Fosler-Lussier</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>62&#8211;69</pages>
    <url>http://anthology.aclweb.org/W16-1607</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>kim-demarneffe-foslerlussier:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1608">
    <title>Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization</title>
    <author><first>Minsoo</first><last>Kim</last></author>
    <author><first>Dennis Singh</first><last>Moirangthem</last></author>
    <author><first>Minho</first><last>Lee</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>70&#8211;77</pages>
    <url>http://anthology.aclweb.org/W16-1608</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>kim-moirangthem-lee:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1609">
    <title>An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation</title>
    <author><first>Jey Han</first><last>Lau</last></author>
    <author><first>Timothy</first><last>Baldwin</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>78&#8211;86</pages>
    <url>http://anthology.aclweb.org/W16-1609</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>lau-baldwin:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1610">
    <title>Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs</title>
    <author><first>Phong</first><last>Le</last></author>
    <author><first>Willem</first><last>Zuidema</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>87&#8211;93</pages>
    <url>http://anthology.aclweb.org/W16-1610</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>le-zuidema:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1611">
    <title>LSTM-Based Mixture-of-Experts for Knowledge-Aware Dialogues</title>
    <author><first>Phong</first><last>Le</last></author>
    <author><first>Marc</first><last>Dymetman</last></author>
    <author><first>Jean-Michel</first><last>Renders</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>94&#8211;99</pages>
    <url>http://anthology.aclweb.org/W16-1611</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>le-dymetman-renders:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1612">
    <title>Mapping Unseen Words to Task-Trained Embedding Spaces</title>
    <author><first>Pranava Swaroop</first><last>Madhyastha</last></author>
    <author><first>Mohit</first><last>Bansal</last></author>
    <author><first>Kevin</first><last>Gimpel</last></author>
    <author><first>Karen</first><last>Livescu</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>100&#8211;110</pages>
    <url>http://anthology.aclweb.org/W16-1612</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>madhyastha-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1613">
    <title>Multilingual Modal Sense Classification using a Convolutional Neural Network</title>
    <author><first>Ana</first><last>Marasovi&#x107;</last></author>
    <author><first>Anette</first><last>Frank</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>111&#8211;120</pages>
    <url>http://anthology.aclweb.org/W16-1613</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>marasovic-frank:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1614">
    <title>Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders</title>
    <author><first>Antonio Valerio</first><last>Miceli Barone</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>121&#8211;126</pages>
    <url>http://anthology.aclweb.org/W16-1614</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>micelibarone:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1615">
    <title>Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors</title>
    <author><first>Jeff</first><last>Mitchell</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>127&#8211;136</pages>
    <url>http://anthology.aclweb.org/W16-1615</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>mitchell:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1616">
    <title>Learning Semantic Relatedness in Community Question Answering Using Neural Models</title>
    <author><first>Henry</first><last>Nassif</last></author>
    <author><first>Mitra</first><last>Mohtarami</last></author>
    <author><first>James</first><last>Glass</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>137&#8211;147</pages>
    <url>http://anthology.aclweb.org/W16-1616</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>nassif-mohtarami-glass:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1617">
    <title>Learning Text Similarity with Siamese Recurrent Networks</title>
    <author><first>Paul</first><last>Neculoiu</last></author>
    <author><first>Maarten</first><last>Versteegh</last></author>
    <author><first>Mihai</first><last>Rotaru</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>148&#8211;157</pages>
    <url>http://anthology.aclweb.org/W16-1617</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>neculoiu-versteegh-rotaru:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1618">
    <title>A Two-stage Approach for Extending Event Detection to New Types via Neural Networks</title>
    <author><first>Thien Huu</first><last>Nguyen</last></author>
    <author><first>Lisheng</first><last>Fu</last></author>
    <author><first>Kyunghyun</first><last>Cho</last></author>
    <author><first>Ralph</first><last>Grishman</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>158&#8211;165</pages>
    <url>http://anthology.aclweb.org/W16-1618</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>nguyen-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1619">
    <title>Parameterized context windows in Random Indexing</title>
    <author><first>Tobias</first><last>Norlund</last></author>
    <author><first>David</first><last>Nilsson</last></author>
    <author><first>Magnus</first><last>Sahlgren</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>166&#8211;173</pages>
    <url>http://anthology.aclweb.org/W16-1619</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>norlund-nilsson-sahlgren:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1620">
    <title>Making Sense of Word Embeddings</title>
    <author><first>Maria</first><last>Pelevina</last></author>
    <author><first>Nikolay</first><last>Arefiev</last></author>
    <author><first>Chris</first><last>Biemann</last></author>
    <author><first>Alexander</first><last>Panchenko</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>174&#8211;183</pages>
    <url>http://anthology.aclweb.org/W16-1620</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>pelevina-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1621">
    <title>Pair Distance Distribution: A Model of Semantic Representation</title>
    <author><first>Yonatan</first><last>Ramni</last></author>
    <author><first>Oded</first><last>Maimon</last></author>
    <author><first>Evgeni</first><last>Khmelnitsky</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>184&#8211;192</pages>
    <url>http://anthology.aclweb.org/W16-1621</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>ramni-maimon-khmelnitsky:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1622">
    <title>Measuring Semantic Similarity of Words Using Concept Networks</title>
    <author><first>G&#225;bor</first><last>Recski</last></author>
    <author><first>Eszter</first><last>Ikl&#243;di</last></author>
    <author><first>Katalin</first><last>Pajkossy</last></author>
    <author><first>Andras</first><last>Kornai</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>193&#8211;200</pages>
    <url>http://anthology.aclweb.org/W16-1622</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>recski-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1623">
    <title>Using Embedding Masks for Word Categorization</title>
    <author><first>Stefan</first><last>Ruseti</last></author>
    <author><first>Traian</first><last>Rebedea</last></author>
    <author><first>Stefan</first><last>Trausan-Matu</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>201&#8211;205</pages>
    <url>http://anthology.aclweb.org/W16-1623</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>ruseti-rebedea-trausanmatu:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1624">
    <title>Sparsifying Word Representations for Deep Unordered Sentence Modeling</title>
    <author><first>Prasanna</first><last>Sattigeri</last></author>
    <author><first>Jayaraman</first><last>J. Thiagarajan</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>206&#8211;214</pages>
    <url>http://anthology.aclweb.org/W16-1624</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>sattigeri-jthiagarajan:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1625">
    <title>Why "Blow Out"? A Structural Analysis of the Movie Dialog Dataset</title>
    <author><first>Richard</first><last>Searle</last></author>
    <author><first>Megan</first><last>Bingham-Walker</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>215&#8211;221</pages>
    <url>http://anthology.aclweb.org/W16-1625</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>searle-binghamwalker:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1626">
    <title>Learning Word Importance with the Neural Bag-of-Words Model</title>
    <author><first>Imran</first><last>Sheikh</last></author>
    <author><first>Irina</first><last>Illina</last></author>
    <author><first>Dominique</first><last>Fohr</last></author>
    <author><first>Georges</first><last>Linar&#232;s</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>222&#8211;229</pages>
    <url>http://anthology.aclweb.org/W16-1626</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>sheikh-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1627">
    <title>A Vector Model for Type-Theoretical Semantics</title>
    <author><first>Konstantin</first><last>Sokolov</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>230&#8211;238</pages>
    <url>http://anthology.aclweb.org/W16-1627</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>sokolov:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1628">
    <title>Towards Generalizable Sentence Embeddings</title>
    <author><first>Eleni</first><last>Triantafillou</last></author>
    <author><first>Jamie Ryan</first><last>Kiros</last></author>
    <author><first>Raquel</first><last>Urtasun</last></author>
    <author><first>Richard</first><last>Zemel</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>239&#8211;248</pages>
    <url>http://anthology.aclweb.org/W16-1628</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>triantafillou-EtAl:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1629">
    <title>Domain Adaptation for Neural Networks by Parameter Augmentation</title>
    <author><first>Yusuke</first><last>Watanabe</last></author>
    <author><first>Kazuma</first><last>Hashimoto</last></author>
    <author><first>Yoshimasa</first><last>Tsuruoka</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>249&#8211;257</pages>
    <url>http://anthology.aclweb.org/W16-1629</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>watanabe-hashimoto-tsuruoka:2016:RepL4NLP</bibkey>
  </paper>

  <paper id="1630">
    <title>Neural Associative Memory for Dual-Sequence Modeling</title>
    <author><first>Dirk</first><last>Weissenborn</last></author>
    <booktitle>Proceedings of the 1st Workshop on Representation Learning for NLP</booktitle>
    <month>August</month>
    <year>2016</year>
    <address>Berlin, Germany</address>
    <publisher>Association for Computational Linguistics</publisher>
    <pages>258&#8211;266</pages>
    <url>http://anthology.aclweb.org/W16-1630</url>
    <bibtype>inproceedings</bibtype>
    <bibkey>weissenborn:2016:RepL4NLP</bibkey>
  </paper>

</volume>

