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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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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Interpretation of Implicit Conditions in Database Search Dialogues
Shunya Fukunaga
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Hitoshi Nishikawa
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Takenobu Tokunaga
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Hikaru Yokono
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Tetsuro Takahashi
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Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
Shiou Tian Hsu
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Mandar Chaudhary
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Nagiza Samatova
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Interpretable Rationale Augmented Charge Prediction System
Xin Jiang
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Hai Ye
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Zhunchen Luo
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WenHan Chao
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Wenjia Ma
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MUSE: Modularizing Unsupervised Sense Embeddings
Guang-He Lee
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Yun-Nung Chen
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Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins
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Julia Kreutzer
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A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
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Tommi Jaakkola
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Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension
Yichun Yin
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Yangqiu Song
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Ming Zhang
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Deriving Machine Attention from Human Rationales
Yujia Bao
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Shiyu Chang
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Mo Yu
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Regina Barzilay
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Multi-grained Attention Network for Aspect-Level Sentiment Classification
Feifan Fan
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Yansong Feng
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Dongyan Zhao
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Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
Samuel Carton
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Qiaozhu Mei
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Paul Resnick
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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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Analysis of Implicit Conditions in Database Search Dialogues
Shun-ya Fukunaga
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Hitoshi Nishikawa
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Takenobu Tokunaga
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Hikaru Yokono
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Tetsuro Takahashi
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Explainable Prediction of Medical Codes from Clinical Text
James Mullenbach
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Sarah Wiegreffe
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Jon Duke
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Jimeng Sun
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Jacob Eisenstein
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Integrating Stance Detection and Fact Checking in a Unified Corpus
Ramy Baly
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Mitra Mohtarami
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James Glass
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Lluís Màrquez
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Alessandro Moschitti
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Preslav Nakov
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Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng
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Siva Reddy
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Vijay Saraswat
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Mirella Lapata
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Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Wang Ling
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Dani Yogatama
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Chris Dyer
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Phil Blunsom
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Coarse-to-Fine Question Answering for Long Documents
Eunsol Choi
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Daniel Hewlett
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Jakob Uszkoreit
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Illia Polosukhin
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Alexandre Lacoste
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Jonathan Berant
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Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz
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Sam Thomson
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Noah A. Smith
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Training Classifiers with Natural Language Explanations
Braden Hancock
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Paroma Varma
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Stephanie Wang
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Martin Bringmann
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Percy Liang
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Christopher Ré
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Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
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Fei Liu
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Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
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Regina Barzilay
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Tommi Jaakkola
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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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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Understanding Convolutional Neural Networks for Text Classification
Alon Jacovi
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Oren Sar Shalom
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Yoav Goldberg
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Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style
Reid Pryzant
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Sugato Basu
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Kazoo Sone
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http://snap.stanford.edu/data/
https://github.com/taolei87/askubuntu
Field Of Study
Task
Tagging
Sentiment Analysis
Question Answering
Machine Translation
Language
Arabic
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