Workshop on Representation Learning for NLP (2016)

Venue:: RepL4NLP

Volumes

Proceedings of the 1st Workshop on Representation Learning for NLP 31 papers

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Explaining Predictions of Non-Linear Classifiers in NLP
Leila Arras | Franziska Horn | Grégoire Montavon | Klaus-Robert Müller | Wojciech Samek

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Joint Learning of Sentence Embeddings for Relevance and Entailment
Petr Baudiš | Silvestr Stanko | Jan Šedivý

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A Joint Model for Word Embedding and Word Morphology
Kris Cao | Marek Rei

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On the Compositionality and Semantic Interpretation of English Noun Compounds
Corina Dima

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Functional Distributional Semantics
Guy Emerson | Ann Copestake

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Assisting Discussion Forum Users using Deep Recurrent Neural Networks
Jacob Hagstedt P Suorra | Olof Mogren

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Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim | Marie-Catherine de Marneffe | Eric Fosler-Lussier

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Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
Minsoo Kim | Dennis Singh Moirangthem | Minho Lee

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An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Jey Han Lau | Timothy Baldwin

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Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs
Phong Le | Willem Zuidema

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LSTM-Based Mixture-of-Experts for Knowledge-Aware Dialogues
Phong Le | Marc Dymetman | Jean-Michel Renders

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Mapping Unseen Words to Task-Trained Embedding Spaces
Pranava Swaroop Madhyastha | Mohit Bansal | Kevin Gimpel | Karen Livescu

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Multilingual Modal Sense Classification using a Convolutional Neural Network
Ana Marasović | Anette Frank

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Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone

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Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors
Jeff Mitchell

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Learning Semantic Relatedness in Community Question Answering Using Neural Models
Henry Nassif | Mitra Mohtarami | James Glass

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Learning Text Similarity with Siamese Recurrent Networks
Paul Neculoiu | Maarten Versteegh | Mihai Rotaru

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A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen | Lisheng Fu | Kyunghyun Cho | Ralph Grishman

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Parameterized context windows in Random Indexing
Tobias Norlund | David Nilsson | Magnus Sahlgren

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Making Sense of Word Embeddings
Maria Pelevina | Nikolay Arefiev | Chris Biemann | Alexander Panchenko

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Pair Distance Distribution: A Model of Semantic Representation
Yonatan Ramni | Oded Maimon | Evgeni Khmelnitsky

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Measuring Semantic Similarity of Words Using Concept Networks
Gábor Recski | Eszter Iklódi | Katalin Pajkossy | András Kornai

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Using Embedding Masks for Word Categorization
Stefan Ruseti | Traian Rebedea | Stefan Trausan-Matu

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Sparsifying Word Representations for Deep Unordered Sentence Modeling
Prasanna Sattigeri | Jayaraman J. Thiagarajan

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Why “Blow Out”? A Structural Analysis of the Movie Dialog Dataset
Richard Searle | Megan Bingham-Walker

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Learning Word Importance with the Neural Bag-of-Words Model
Imran Sheikh | Irina Illina | Dominique Fohr | Georges Linarès

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A Vector Model for Type-Theoretical Semantics
Konstantin Sokolov

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Towards Generalizable Sentence Embeddings
Eleni Triantafillou | Jamie Ryan Kiros | Raquel Urtasun | Richard Zemel

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Domain Adaptation for Neural Networks by Parameter Augmentation
Yusuke Watanabe | Kazuma Hashimoto | Yoshimasa Tsuruoka

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Neural Associative Memory for Dual-Sequence Modeling
Dirk Weissenborn