Papers
Core Semantic First: A Top-down Approach for AMR Parsing
Deng Cai, Wai Lam
Broad-Coverage Semantic Parsing as Transduction
Sheng Zhang, Xutai Ma, Kevin Duh et al.
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
Bailin Wang, Ivan Titov, Mirella Lapata
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator
Xiaoyu Shen, Yang Zhao, Hui Su et al.
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
Peter West, Ari Holtzman, Jan Buys et al.
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao, Xiuying Chen, Piji Li et al.
Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization
Daniel Deutsch, Dan Roth
TalkDown: A Corpus for Condescension Detection in Context
Zijian Wang, Christopher Potts
Emergent Linguistic Phenomena in Multi-Agent Communication Games
Laura Harding Graesser, Kyunghyun Cho, Douwe Kiela
Pretrained Language Models for Sequential Sentence Classification
Arman Cohan, Iz Beltagy, Daniel King et al.
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
Yinfei Yang, Yuan Zhang, Chris Tar et al.
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou
Efficient Sentence Embedding using Discrete Cosine Transform
Nada Almarwani, Hanan Aldarmaki, Mona Diab
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis
Hiroki Ouchi, Jun Suzuki, Kentaro Inui
Global Reasoning over Database Structures for Text-to-SQL Parsing
Ben Bogin, Matt Gardner, Jonathan Berant
A Pilot Study for Chinese SQL Semantic Parsing
Qingkai Min, Yuefeng Shi, Yue Zhang
PaLM: A Hybrid Parser and Language Model
Hao Peng, Roy Schwartz, Noah A. Smith
Data Augmentation with Atomic Templates for Spoken Language Understanding
Zijian Zhao, Su Zhu, Kai Yu
Small and Practical BERT Models for Sequence Labeling
Henry Tsai, Jason Riesa, Melvin Johnson et al.
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev
Humor Detection: A Transformer Gets the Last Laugh
Orion Weller, Kevin Seppi
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy, Kyle Lo, Arman Cohan
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li, Junxian He, Graham Neubig et al.