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Visualizing and Understanding Neural Models in NLP
Jiwei Li
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Xinlei Chen
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Eduard Hovy
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Dan Jurafsky
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri Narayana Patro
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Vinod Kumar Kurmi
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Sandeep Kumar
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Vinay Namboodiri
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Adaptive Weighting for Neural Machine Translation
Yachao Li
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Junhui Li
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Min Zhang
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Rationalizing Neural Predictions
Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Interpreting Neural Networks to Improve Politeness Comprehension
Malika Aubakirova
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Mohit Bansal
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Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
Jiali Zeng
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Jinsong Su
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Huating Wen
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Yang Liu
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Jun Xie
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Yongjing Yin
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Jianqiang Zhao
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SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories
Sweta Karlekar
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Mohit Bansal
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Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
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Kris Demuynck
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Joni Dambre
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Wesley De Neve
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Thomas Demeester
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Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
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Eric Wallace
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Alvin Grissom II
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Mohit Iyyer
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Pedro Rodriguez
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Jordan Boyd-Graber
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Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
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Rik Koncel-Kedziorski
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Mohammad Rastegari
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Hannaneh Hajishirzi
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Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Reza Ghaeini
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Xiaoli Fern
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Prasad Tadepalli
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An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM
Ekaterina Loginova
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Günter Neumann
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Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko
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Eugen Ruppert
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Stefano Faralli
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Simone Paolo Ponzetto
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Chris Biemann
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What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro
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Miguel Ballesteros
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Lingpeng Kong
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Chris Dyer
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Graham Neubig
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Noah A. Smith
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Convolutional Neural Networks for Authorship Attribution of Short Texts
Prasha Shrestha
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Sebastian Sierra
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Fabio González
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Manuel Montes
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Paolo Rosso
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Thamar Solorio
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Using Context Events in Neural Network Models for Event Temporal Status Identification
Zeyu Dai
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Wenlin Yao
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Ruihong Huang
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Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
Rebecca Sharp
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Mihai Surdeanu
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Peter Jansen
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Marco A. Valenzuela-Escárcega
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Peter Clark
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Michael Hammond
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Encoding of phonology in a recurrent neural model of grounded speech
Afra Alishahi
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Marie Barking
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Grzegorz Chrupała
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Learning Global Features for Coreference Resolution
Sam Wiseman
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Alexander M. Rush
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Stuart M. Shieber
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Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Marek Rei
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Anders Søgaard
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Comparing Automatic and Human Evaluation of Local Explanations for Text Classification
Dong Nguyen
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Learning attention for historical text normalization by learning to pronounce
Marcel Bollmann
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Joachim Bingel
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Anders Søgaard
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Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
Abhijit Mishra
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Kuntal Dey
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Pushpak Bhattacharyya
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Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
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Nan Yang
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Furu Wei
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Ming Zhou
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Visualizing and Understanding Neural Machine Translation
Yanzhuo Ding
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Yang Liu
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Huanbo Luan
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Maosong Sun
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
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German Kruszewski
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Guillaume Lample
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Loïc Barrault
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Marco Baroni
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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
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Emmanuel Dupoux
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Yoav Goldberg
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Polite Dialogue Generation Without Parallel Data
Tong Niu
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Mohit Bansal
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter
Xiwu Han
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Gregory Toner
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Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue
Shereen Oraby
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Vrindavan Harrison
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Lena Reed
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Ernesto Hernandez
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Ellen Riloff
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Marilyn Walker
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Elucidating Conceptual Properties from Word Embeddings
Kyoung-Rok Jang
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Sung-Hyon Myaeng
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Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Leila Arras
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Grégoire Montavon
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Klaus-Robert Müller
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Wojciech Samek
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LSTMs Exploit Linguistic Attributes of Data
Nelson F. Liu
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Omer Levy
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Roy Schwartz
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Chenhao Tan
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Noah A. Smith
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Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec
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Matúš Pikuliak
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Marián Šimko
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Mária Bieliková
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Rule induction for global explanation of trained models
Madhumita Sushil
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Simon Šuster
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Walter Daelemans
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LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Pankaj Gupta
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Hinrich Schütze
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An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg
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Danielle Saunders
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Bill Byrne
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Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek
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Jan Šnajder
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Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert
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Cole Peterson
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Alona Fyshe
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Nishant Mehta
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Learning Explanations from Language Data
David Harbecke
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Robert Schwarzenberg
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Christoph Alt
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Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
Barbara Rychalska
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Dominika Basaj
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Anna Wróblewska
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Przemyslaw Biecek
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Sentiment Analysis
Machine Translation
Approach
Deep Learning
Representation Learning
Language
Multilingual
English
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