Papers
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Paul Felt, Eric Ringger, Jordan Boyd-Graber et al.
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System
Yu Wang, Abhishek Patel, Hongxia Jin
Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan, Lili Mou, Olga Vechtomova et al.
GenSense: A Generalized Sense Retrofitting Model
Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang et al.
Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala, Cong Bao
Contextual String Embeddings for Sequence Labeling
Alan Akbik, Duncan Blythe, Roland Vollgraf
Relation Induction in Word Embeddings Revisited
Zied Bouraoui, Shoaib Jameel, Steven Schockaert
A Computational Model for the Linguistic Notion of Morphological Paradigm
Miikka Silfverberg, Ling Liu, Mans Hulden
Ab Initio: Automatic Latin Proto-word Reconstruction
Alina Maria Ciobanu, Liviu P. Dinu
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities
Marco Del Tredici, Raquel Fernández
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies
Taraka Rama, Søren Wichmann
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction
Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao et al.
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection
Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych
Multi-Source Multi-Class Fake News Detection
Hamid Karimi, Proteek Roy, Sari Saba-Sadiya et al.
User-Level Race and Ethnicity Predictors from Twitter Text
Daniel Preoţiuc-Pietro, Lyle Ungar
Assessing Quality Estimation Models for Sentence-Level Prediction
Hoang Cuong, Jia Xu
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion
Naoki Otani, Hirokazu Kiyomaru, Daisuke Kawahara et al.
Crowdsourcing a Large Corpus of Clickbait on Twitter
Martin Potthast, Tim Gollub, Kristof Komlossy et al.
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Arman Cohan, Bart Desmet, Andrew Yates et al.
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources
Adeline Granet, Emmanuel Morin, Harold Mouchère et al.
Neural Machine Translation with Decoding History Enhanced Attention
Mingxuan Wang, Jun Xie, Zhixing Tan et al.
Fast and Accurate Reordering with ITG Transition RNN
Hao Zhang, Axel Ng, Richard Sproat
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Francis Grégoire, Philippe Langlais
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Haoran Li, Junnan Zhu, Jiajun Zhang et al.
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model
Poorya Zaremoodi, Gholamreza Haffari