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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
NAACL |
Citations
URL
Deep Enhanced Representation for Implicit Discourse Relation Recognition
Hongxiao Bai
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Hai Zhao
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Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Liang Wang
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Sujian Li
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Wei Zhao
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Kewei Shen
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Meng Sun
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Ruoyu Jia
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Jingming Liu
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Contextual String Embeddings for Sequence Labeling
Alan Akbik
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Duncan Blythe
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Roland Vollgraf
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A New Concept of Deep Reinforcement Learning based Augmented General Tagging System
Yu Wang
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Abhishek Patel
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Hongxia Jin
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What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
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Shashwath Hosur Ananthakrishna
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Anna Rumshisky
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A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?
Jiaxun Cai
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Shexia He
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Zuchao Li
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Hai Zhao
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SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
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Yonatan Bisk
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Roy Schwartz
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Yejin Choi
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WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
Manaal Faruqui
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Ellie Pavlick
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Ian Tenney
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Dipanjan Das
|
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
Daniela Gerz
|
Ivan Vulić
|
Edoardo Maria Ponti
|
Roi Reichart
|
Anna Korhonen
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Neural Cross-Lingual Named Entity Recognition with Minimal Resources
Jiateng Xie
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Zhilin Yang
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Graham Neubig
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Noah A. Smith
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Jaime Carbonell
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Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
Minjoon Seo
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Tom Kwiatkowski
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Ankur Parikh
|
Ali Farhadi
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Hannaneh Hajishirzi
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Neural Metaphor Detection in Context
Ge Gao
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Eunsol Choi
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Yejin Choi
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Luke Zettlemoyer
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Neural-Davidsonian Semantic Proto-role Labeling
Rachel Rudinger
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Adam Teichert
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Ryan Culkin
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Sheng Zhang
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Benjamin Van Durme
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Toward Fast and Accurate Neural Discourse Segmentation
Yizhong Wang
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Sujian Li
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Jingfeng Yang
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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Liyuan Liu
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Xiang Ren
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Jingbo Shang
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Xiaotao Gu
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Jian Peng
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Jiawei Han
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Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Junxian He
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Graham Neubig
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Taylor Berg-Kirkpatrick
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Constituent Parsing as Sequence Labeling
Carlos Gómez-Rodríguez
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David Vilares
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Disambiguated skip-gram model
Karol Grzegorczyk
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Marcin Kurdziel
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Picking Apart Story Salads
Su Wang
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Eric Holgate
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Greg Durrett
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Katrin Erk
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A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
Melissa Ailem
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Bowen Zhang
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Aurelien Bellet
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Pascal Denis
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Fei Sha
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Dissecting Contextual Word Embeddings: Architecture and Representation
Matthew Peters
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Mark Neumann
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Luke Zettlemoyer
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Wen-tau Yih
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Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky
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Mark Hopkins
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A Span Selection Model for Semantic Role Labeling
Hiroki Ouchi
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Hiroyuki Shindo
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Yuji Matsumoto
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Deep Relevance Ranking Using Enhanced Document-Query Interactions
Ryan McDonald
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George Brokos
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Ion Androutsopoulos
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Zero-Shot Open Entity Typing as Type-Compatible Grounding
Ben Zhou
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Daniel Khashabi
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Chen-Tse Tsai
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Dan Roth
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QuAC: Question Answering in Context
Eunsol Choi
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He He
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Mohit Iyyer
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Mark Yatskar
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Wen-tau Yih
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Yejin Choi
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Percy Liang
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Luke Zettlemoyer
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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
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Peter Clark
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Tushar Khot
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Ashish Sabharwal
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A Unified Syntax-aware Framework for Semantic Role Labeling
Zuchao Li
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Shexia He
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Jiaxun Cai
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Zhuosheng Zhang
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Hai Zhao
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Gongshen Liu
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Linlin Li
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Luo Si
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XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau
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Ruty Rinott
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Guillaume Lample
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Adina Williams
|
Samuel Bowman
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Holger Schwenk
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Veselin Stoyanov
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Evaluating the Utility of Hand-crafted Features in Sequence Labelling
Minghao Wu
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Fei Liu
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Trevor Cohn
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Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Wenhui Wang
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Baobao Chang
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Mairgup Mansur
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Training Deeper Neural Machine Translation Models with Transparent Attention
Ankur Bapna
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Mia Chen
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Orhan Firat
|
Yuan Cao
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Yonghui Wu
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Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Yi Luan
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Luheng He
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Mari Ostendorf
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Hannaneh Hajishirzi
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Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer
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Yicheng Wang
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Mohit Bansal
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Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou
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Zhaopeng Tu
|
Xing Wang
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Shuming Shi
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Tong Zhang
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Modeling Localness for Self-Attention Networks
Baosong Yang
|
Zhaopeng Tu
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Derek F. Wong
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Fandong Meng
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Lidia S. Chao
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Tong Zhang
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Direct Output Connection for a High-Rank Language Model
Sho Takase
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Jun Suzuki
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Masaaki Nagata
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Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
Kalpesh Krishna
|
Preethi Jyothi
|
Mohit Iyyer
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InferLite: Simple Universal Sentence Representations from Natural Language Inference Data
Jamie Kiros
|
William Chan
|
Similarity-Based Reconstruction Loss for Meaning Representation
Olga Kovaleva
|
Anna Rumshisky
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Alexey Romanov
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State-of-the-art Chinese Word Segmentation with Bi-LSTMs
Ji Ma
|
Kuzman Ganchev
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David Weiss
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Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Reza Ghaeini
|
Xiaoli Fern
|
Prasad Tadepalli
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Towards Semi-Supervised Learning for Deep Semantic Role Labeling
Sanket Vaibhav Mehta
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Jay Yoon Lee
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Jaime Carbonell
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Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell
|
Patrick Verga
|
Daniel Andor
|
David Weiss
|
Andrew McCallum
|
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Ajay Patel
|
Alexander Sands
|
Chris Callison-Burch
|
Marianna Apidianaki
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Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation
Ander Barrena
|
Aitor Soroa
|
Eneko Agirre
|
Model Transfer with Explicit Knowledge of the Relation between Class Definitions
Hiyori Yoshikawa
|
Tomoya Iwakura
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Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
Wanxiang Che
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Yijia Liu
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Yuxuan Wang
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Bo Zheng
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Ting Liu
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Universal Dependency Parsing from Scratch
Peng Qi
|
Timothy Dozat
|
Yuhao Zhang
|
Christopher D. Manning
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Ganesh Jawahar
|
Benjamin Muller
|
Amal Fethi
|
Louis Martin
|
Éric Villemonte de la Clergerie
|
Benoît Sagot
|
Djamé Seddah
|
Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang
|
Mohit Bansal
|
Higher-Order Coreference Resolution with Coarse-to-Fine Inference
Kenton Lee
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Luheng He
|
Luke Zettlemoyer
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Universal Language Model Fine-tuning for Text Classification
Jeremy Howard
|
Sebastian Ruder
|
Syntax for Semantic Role Labeling, To Be, Or Not To Be
Shexia He
|
Zuchao Li
|
Hai Zhao
|
Hongxiao Bai
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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Eduard Hovy
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Constituency Parsing with a Self-Attentive Encoder
Nikita Kitaev
|
Dan Klein
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Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
Luheng He
|
Kenton Lee
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Omer Levy
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Luke Zettlemoyer
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
|
Robin Jia
|
Percy Liang
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
|
Hinrich Schütze
|
A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions
Navnita Nandakumar
|
Bahar Salehi
|
Timothy Baldwin
|
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
|
Joel Grus
|
Mark Neumann
|
Oyvind Tafjord
|
Pradeep Dasigi
|
Nelson F. Liu
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Matthew Peters
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Michael Schmitz
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Luke Zettlemoyer
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Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
Emma Strubell
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Andrew McCallum
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Natural Language Inference with Definition Embedding Considering Context On the Fly
Kosuke Nishida
|
Kyosuke Nishida
|
Hisako Asano
|
Junji Tomita
|
Multimodal Relational Tensor Network for Sentiment and Emotion Classification
Saurav Sahay
|
Shachi H Kumar
|
Rui Xia
|
Jonathan Huang
|
Lama Nachman
|
Learning Representations for Detecting Abusive Language
Magnus Sahlgren
|
Tim Isbister
|
Fredrik Olsson
|
Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Gil Rocha
|
Christian Stab
|
Henrique Lopes Cardoso
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Iryna Gurevych
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LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Pankaj Gupta
|
Hinrich Schütze
|
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang
|
Amanpreet Singh
|
Julian Michael
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Felix Hill
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Omer Levy
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Samuel Bowman
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Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis
Kelly Zhang
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Samuel Bowman
|
evision PDF of 'The Fact Extraction and VERification (FEVER) Shared Task
James Thorne
|
Andreas Vlachos
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Oana Cocarascu
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Christos Christodoulopoulos
|
Arpit Mittal
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Zero-shot Relation Classification as Textual Entailment
Abiola Obamuyide
|
Andreas Vlachos
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Teaching Syntax by Adversarial Distraction
Juho Kim
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Christopher Malon
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Asim Kadav
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UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
Takuma Yoneda
|
Jeff Mitchell
|
Johannes Welbl
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Pontus Stenetorp
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Sebastian Riedel
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Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Tuhin Chakrabarty
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Tariq Alhindi
|
Smaranda Muresan
|
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
Aniketh Janardhan Reddy
|
Gil Rocha
|
Diego Esteves
|
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition
Golnar Sheikhshabbafghi
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Inanc Birol
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Anoop Sarkar
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Evaluation of a Sequence Tagging Tool for Biomedical Texts
Julien Tourille
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Matthieu Doutreligne
|
Olivier Ferret
|
Aurélie Névéol
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Nicolas Paris
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Xavier Tannier
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Robust Word Vectors: Context-Informed Embeddings for Noisy Texts
Valentin Malykh
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Varvara Logacheva
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Taras Khakhulin
|
Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić
|
Edison Marrese-Taylor
|
Jorge Balazs
|
Yutaka Matsuo
|
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
Jorge Balazs
|
Edison Marrese-Taylor
|
Yutaka Matsuo
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NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing
Samuel Pecar
|
Michal Farkas
|
Marian Simko
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Peter Lacko
|
Maria Bielikova
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Disney at IEST 2018: Predicting Emotions using an Ensemble
Wojciech Witon
|
Pierre Colombo
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Ashutosh Modi
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Mubbasir Kapadia
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Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri
|
Harshad Khadilkar
|
Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts
Isabel Groves
|
Ye Tian
|
Ioannis Douratsos
|
Comprehension Driven Document Planning in Natural Language Generation Systems
Craig Thomson
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Ehud Reiter
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Somayajulu Sripada
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Verb Argument Structure Alternations in Word and Sentence Embeddings
Katharina Kann
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Alex Warstadt
|
Adina Williams
|
Samuel R. Bowman
|
http://allennlp.org/elmo
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Language Understanding
Tagging
Word Sense Disambiguation
Named Entity Recognition
Textual Entailment
Sentiment Analysis
Question Answering
Coreference Resolution
Machine Translation
Language
Multilingual
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