What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL-2020 RepL4NLP-2020 WS-2020

Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL-2020

That is a Known Lie: Detecting Previously Fact-Checked Claims ACL-2020

Complementary Systems for Off-Topic Spoken Response Detection ACL-2020 BEA-2020 WS-2020

Character aware models with similarity learning for metaphor detection ACL-2020 Fig-Lang-2020 WS-2020

Curriculum Learning for Natural Language Understanding ACL-2020

How Does Selective Mechanism Improve Self-Attention Networks? ACL-2020

Curriculum Pre-training for End-to-End Speech Translation ACL-2020

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL-2020

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL-2020

Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents ACL-2020 Challenge-HML-2020 WS-2020

Should You Fine-Tune BERT for Automated Essay Scoring? ACL-2020 BEA-2020 WS-2020

Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs ACL-2020

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly ACL-2020

Multi-Domain Dialogue Acts and Response Co-Generation ACL-2020

Metaphor Detection Using Contextual Word Embeddings From Transformers ACL-2020 Fig-Lang-2020 WS-2020

Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms ACL-2020

Accelerating Natural Language Understanding in Task-Oriented Dialog ACL-2020 NLP4ConvAI-2020 WS-2020

A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews ACL-2020 Challenge-HML-2020 WS-2020

Roles and Utilization of Attention Heads in Transformer-based Neural Language Models ACL-2020

To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks ACL-2020

Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations ACL-2020

Cross-Modality Relevance for Reasoning on Language and Vision ACL-2020

Predicting the Focus of Negation: Model and Error Analysis ACL-2020

Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT ACL-2020 RepL4NLP-2020 WS-2020

PeTra: A Sparsely Supervised Memory Model for People Tracking ACL-2020

Spelling Error Correction with Soft-Masked BERT ACL-2020

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation ACL-2020

MuTual: A Dataset for Multi-Turn Dialogue Reasoning ACL-2020

Evaluating Compositionality of Sentence Representation Models ACL-2020 RepL4NLP-2020 WS-2020

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing ACL-2020

Generalizing Natural Language Analysis through Span-relation Representations ACL-2020

End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2 ACL-2020

Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation ACL-2020

Masked Language Model Scoring ACL-2020

From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? ACL-2020

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers ACL-2020

Detecting Perceived Emotions in Hurricane Disasters ACL-2020

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable ACL-2020

To Test Machine Comprehension, Start by Defining Comprehension ACL-2020

A Call for More Rigor in Unsupervised Cross-lingual Learning ACL-2020

Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference ACL-2020 RepL4NLP-2020 WS-2020

Multidirectional Associative Optimization of Function-Specific Word Representations ACL-2020

“The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition ACL-2020

Injecting Numerical Reasoning Skills into Language Models ACL-2020

CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant ACL-2020

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance ACL-2020

Towards Transparent and Explainable Attention Models ACL-2020

Character-Level Translation with Self-attention ACL-2020

TaPas: Weakly Supervised Table Parsing via Pre-training ACL-2020

Screenplay Summarization Using Latent Narrative Structure ACL-2020

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL-2020

KLEJ: Comprehensive Benchmark for Polish Language Understanding ACL-2020

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis ACL-2020

Multimodal Neural Graph Memory Networks for Visual Question Answering ACL-2020

Distilling Knowledge Learned in BERT for Text Generation ACL-2020

Unsupervised Cross-lingual Representation Learning at Scale ACL-2020

Returning the N to NLP: Towards Contextually Personalized Classification Models ACL-2020

CIMA: A Large Open Access Dialogue Dataset for Tutoring ACL-2020 BEA-2020 WS-2020

Dialogue-Based Relation Extraction ACL-2020

Refer360∘: A Referring Expression Recognition Dataset in 360: A Referring Expression Recognition Dataset in 360∘ Images Images ACL-2020

Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL-2020

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL-2020

Universal Decompositional Semantic Parsing ACL-2020

Paraphrase Augmented Task-Oriented Dialog Generation ACL-2020

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ACL-2020

Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks ACL-2020 RepL4NLP-2020 WS-2020

Language Models as Fact Checkers? ACL-2020 FEVER-2020 WS-2020

On Faithfulness and Factuality in Abstractive Summarization ACL-2020

RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL-2020

Adaptive Compression of Word Embeddings ACL-2020

CorefQA: Coreference Resolution as Query-based Span Prediction ACL-2020

Usnea: An Authorship Tool for Interactive Fiction using Retrieval Based Semantic Parsing ACL-2020

Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL-2020

Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources ACL-2020

Extracting Message Sequence Charts from Hindi Narrative Text ACL-2020 NUSE-2020 WS-2020

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering ACL-2020

Improving Slot Filling by Utilizing Contextual Information ACL-2020 NLP4ConvAI-2020 WS-2020

Probing Neural Dialog Models for Conversational Understanding ACL-2020 NLP4ConvAI-2020 WS-2020

Interactive Machine Comprehension with Information Seeking Agents ACL-2020

Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL-2020

Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation ACL-2020

Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity ACL-2020 BioNLP-2020 WS-2020

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN ACL-2020 IWSLT-2020 WS-2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ACL-2020

Leveraging Graph to Improve Abstractive Multi-Document Summarization ACL-2020

Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models ACL-2020

Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL-2020 RepL4NLP-2020 WS-2020

Posterior Calibrated Training on Sentence Classification Tasks ACL-2020

Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order ACL-2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering ACL-2020

Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL-2020

WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge ACL-2020

Contextual Embeddings: When Are They Worth It? ACL-2020

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning ACL-2020

Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations ACL-2020

Adversarial NLI: A New Benchmark for Natural Language Understanding ACL-2020

Handling Rare Entities for Neural Sequence Labeling ACL-2020

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL-2020

CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning ACL-2020

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