Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification ACL-2020

Language (Technology) is Power: A Critical Survey of “Bias” in NLP ACL-2020

A Prioritization Model for Suicidality Risk Assessment ACL-2020

Examining Citations of Natural Language Processing Literature ACL-2020

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention ACL-2020

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL-2020

Keyphrase Generation for Scientific Document Retrieval ACL-2020

Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus ACL-2020

#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media ACL-2020

Multi-Tiered Strictly Local Functions ACL-2020 SIGMORPHON-2020 WS-2020

Automated Evaluation of Writing – 50 Years and Counting ACL-2020

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

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ACL-2020

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

Out of the Echo Chamber: Detecting Countering Debate Speeches ACL-2020

Towards Debiasing Sentence Representations ACL-2020

Detecting and understanding moral biases in news ACL-2020 NUSE-2020 WS-2020

Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling ACL-2020

Toward Gender-Inclusive Coreference Resolution ACL-2020

Masking Actor Information Leads to Fairer Political Claims Detection ACL-2020

Predicting the Topical Stance and Political Leaning of Media using Tweets ACL-2020

Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation ACL-2020 NGT-2020 WS-2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL-2020

One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble ACL-2020 SIGMORPHON-2020 WS-2020

Detecting Perceived Emotions in Hurricane Disasters ACL-2020

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks ACL-2020

Predicting the Growth of Morphological Families from Social and Linguistic Factors ACL-2020

Measuring Forecasting Skill from Text ACL-2020

Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora ACL-2020

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL-2020

Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection ACL-2020

Applications of Natural Language Processing in Bilingual Language Teaching: An Indonesian-English Case Study ACL-2020 BEA-2020 WS-2020

DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection ACL-2020 Fig-Lang-2020 WS-2020

NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature ACL-2020

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ACL-2020

When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? ACL-2020

He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist ACL-2020

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting ACL-2020

AMR Parsing with Latent Structural Information ACL-2020

Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data ACL-2020

Analyzing Political Parody in Social Media ACL-2020

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

Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL-2020

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

Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations ACL-2019 WS-2019

Conceptual Change and Distributional Semantic Models: an Exploratory Study on Pitfalls and Possibilities ACL-2019 WS-2019

Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings ACL-2019 WS-2019

No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects ACL-2019 WS-2019

DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change ACL-2019 WS-2019

Construction and Annotation of the Jordan Comprehensive Contemporary Arabic Corpus (JCCA) ACL-2019 WS-2019

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts EMNLP-2019

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments EMNLP-2019

Lexicon Guided Attentive Neural Network Model for Argument Mining ACL-2019 WS-2019

Evaluating Topic Quality with Posterior Variability EMNLP-2019

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling EMNLP-2019

POS Tagging for Improving Code-Switching Identification in Arabic ACL-2019 WS-2019

Evaluation of automatic collocation extraction methods for language learning ACL-2019 WS-2019

Detecting Concealed Information in Text and Speech ACL-2019

Detecting Causal Language Use in Science Findings EMNLP-2019

DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL-2019 WS-2019

DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering ACL-2019 WS-2019

Semantic Change in the Language of UK Parliamentary Debates ACL-2019 WS-2019

Transformer-Based Capsule Network For Stock Movement Prediction WS-2019

Evaluation of Semantic Change of Harm-Related Concepts in Psychology ACL-2019 WS-2019

Contextualized Diachronic Word Representations ACL-2019 WS-2019

Multi-label Categorization of Accounts of Sexism using a Neural Framework EMNLP-2019

Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements NoDaLiDa-2019 WS-2019

Learning Invariant Representations of Social Media Users EMNLP-2019

Ranking Passages for Argument Convincingness ACL-2019 WS-2019

Modeling Frames in Argumentation EMNLP-2019

Towards Assessing Argumentation Annotation - A First Step ACL-2019 WS-2019

Cross-Cultural Transfer Learning for Text Classification EMNLP-2019

Analysing Rhetorical Structure as a Key Feature of Summary Coherence ACL-2019 WS-2019

Text-based inference of moral sentiment change EMNLP-2019

Predicting learner knowledge of individual words using machine learning NoDaLiDa-2019 WS-2019

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis EMNLP-2019

“Condescending, Rude, Assholes”: Framing gender and hostility on Stack Overflow ACL-2019 WS-2019

Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity EMNLP-2019

The Role of Pragmatic and Discourse Context in Determining Argument Impact EMNLP-2019

Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis ACL-2019 WS-2019

An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants ACL-2019 WS-2019

Automatically Inferring Gender Associations from Language EMNLP-2019

Query-focused Sentence Compression in Linear Time EMNLP-2019

Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering TACL-2019

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English EMNLP-2019

Interpretable Word Embeddings via Informative Priors EMNLP-2019

Turkish Treebanking: Unifying and Constructing Efforts ACL-2019 WS-2019

Detecting Aggression and Toxicity using a Multi Dimension Capsule Network ACL-2019 WS-2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change ACL-2019

In Plain Sight: Media Bias Through the Lens of Factual Reporting EMNLP-2019

Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts EMNLP-2019

Identifying and Reducing Gender Bias in Word-Level Language Models NAACL-2019

Restoring ancient text using deep learning: a case study on Greek epigraphy EMNLP-2019

Summarizing Relationships for Interactive Concept Map Browsers EMNLP-2019 WS-2019

Challenges and frontiers in abusive content detection ACL-2019 WS-2019

Measuring and Modeling Language Change NAACL-2019

Dialect Text Normalization to Normative Standard Finnish EMNLP-2019 WS-2019

Few-Shot and Zero-Shot Learning for Historical Text Normalization EMNLP-2019 WS-2019

Racial Bias in Hate Speech and Abusive Language Detection Datasets ACL-2019 WS-2019

Dilated LSTM with attention for Classification of Suicide Notes EMNLP-2019 WS-2019

WS

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