Workshop on Representation Learning for NLP (2016)

Volumes

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

pdf (full)
bib (full) Proceedings of the 1st Workshop on Representation Learning for NLP

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

Functional Distributional Semantics
Guy Emerson | Ann Copestake

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors
Jeff Mitchell

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

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

pdf bib

A Vector Model for Type-Theoretical Semantics
Konstantin Sokolov

pdf bib

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

pdf bib

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

pdf bib

Neural Associative Memory for Dual-Sequence Modeling
Dirk Weissenborn