Conference Schedule - Wednesday, April 21

8:45-9:00

Opening

9:00-10:00

Keynote 1: Marco Baroni

Chair: Pawel Budzianowski

Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
Augmenting Transformers with KNN-Based Composite Memory for Dialog (TACL)

Chair: Richard Farkas

Adv-OLM: Generating Textual Adversaries via OLM
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Supervised and Unsupervised Neural Approaches to Text Readability (CL)

Chair: Isabelle Augenstein

Language Modelling as a Multi-Task Problem
Attention Can Reflect Syntactic Structure (If You Let It)
Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules

11:00-14:00

Gather Town

Chair: Oren Tsur

I Beg to Differ: A study of constructive disagreement in online conversations
“Are you kidding me?“: Detecting Unpalatable Questions on Reddit
From the Stage to the Audience: Propaganda on Reddit

Chair: Ehud Reiter

Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
Changing the Mind of Transformers for Topically-Controllable Language Generation
Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible Templates

Chair: Leon Derczynski

On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering

Chair: Mark Fishel

BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
Generative Text Modeling through Short Run Inference
Randomized Deep Structured Prediction for Discourse-Level Processing

Chair: Ozlem Centinoglu

Dependency parsing with structure preserving embeddings
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories (TACL)
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement (TACL)

Contrastive Multi-document Question Generation
Recipes for Building an Open-Domain Chatbot
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
Grounding as a Collaborative Process
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Dialogue Act-based Breakdown Detection in Negotiation Dialogues
Neural Data-to-Text Generation with LM-based Text Augmentation
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
Generating Weather Comments from Meteorological Simulations
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms
ChainCQG: Flow-Aware Conversational Question Generation
Neural-Driven Search-Based Paraphrase Generation
Changing the Mind of Transformers for Topically-Controllable Language Generation
Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible Templates
Modeling Coreference Relations in Visual Dialog
Don’t Change Me! User-Controllable Selective Paraphrase Generation
Augmenting Transformers with KNN-Based Composite Memory for Dialog

Belief-based Generation of Argumentative Claims
Implicitly Abusive Comparisons -- A New Dataset and Linguistic Analysis
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles
Open-Mindedness and Style Coordination in Argumentative Discussions
A New View of Multi-modal Language Analysis: Audio and Video Features as Text “Styles”
Attention-based Relational Graph Convolutional Network for Target-Oriented Opinion Words Extraction
I Beg to Differ: A study of constructive disagreement in online conversations
“Are you kidding me?“: Detecting Unpalatable Questions on Reddit
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
Adversarial Stylometry in the Wild: {T}ransferable Lexical Substitution Attacks on Author Profiling
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media
A Few Topical Tweets are Enough for Effective User Stance Detection
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction
Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
From the Stage to the Audience: Propaganda on Reddit
Why Is MBTI Personality Detection from Texts a Difficult Task?
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features
Enhancing Aspect-level Sentiment Analysis with Word Dependencies

On the (In)Effectiveness of Images for Text Classification
Dictionary-based Debiasing of Pre-trained Word Embeddings
FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary
Elastic weight consolidation for better bias inoculation
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
Debiasing Pre-trained Contextualised Embeddings
Language Models for Lexical Inference in Context
On the Evaluation of Vision-and-Language Navigation Instructions
Cross-lingual Visual Pre-training for Multimodal Machine Translation
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues
A Unified Feature Representation for Lexical Connotations
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification
Exploiting Definitions for Frame Identification
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
STAR: Cross-modal [STA]tement [R]epresentation for selecting relevant mathematical premises
Framing Word Sense Disambiguation as a Multi-Label Problem for Model-Agnostic Knowledge Integration
Increasing Robustness to Spurious Correlations using Forgettable Examples
On Robustness of Neural Semantic Parsers
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings
Lifelong Knowledge-Enriched Social Event Representation Learning

Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set
Few-shot learning through contextual data augmentation
SICK-NL: A Dataset for Dutch Natural Language Inference
Understanding Pre-Editing for Black-Box Neural Machine Translation
{WiC-TSV}: {A}n Evaluation Benchmark for Target Sense Verification of Words in Context
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources
CTC-based Compression for Direct Speech Translation
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation
Context-aware Neural Machine Translation with Mini-batch Embedding
Streaming Models for Joint Speech Recognition and Translation
`Just because you are right, doesn’t mean I am wrong’: Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks
CLiMP: A Benchmark for Chinese Language Model Evaluation
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages
Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database
Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation

On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy
GRIT: Generative Role-ﬁller Transformers for Document-level Event Entity Extraction
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation
Adv-OLM: Generating Textual Adversaries via OLM
DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Dynamic Graph Transformer for Implicit Tag Recognition
Bootstrapping Relation Extractors using Syntactic Search by Examples
Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers
MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
Complementary Evidence Identification in Open-Domain Question Answering
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19
Supervised and Unsupervised Neural Approaches to Text Readability

A DASHBOARD FOR MITIGATING THE COVID-19 MISINFODEMIC
Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohanmmed Samiul Saeef, Paras Pathak and Chengkai Li
A DESCRIPTION AND DEMONSTRATION OF SAFAR FRAMEWORK
Karim Bouzoubaa, Younes Jaafar, Driss Namly, Ridouane Tachicart, Rachida Tajmout, Hakima Khamar, Hamid Jaafar, Lhoussain Aouragh and Abdellah Yousfi
BREAKING WRITER'S BLOCK: LOW-COST FINE-TUNING OF NATURAL LANGUAGE GENERATION MODELS
Alexandre Duval, Thomas Lamson, Gaël de Léséleuc de Kérouara and Matthias Gallé
COCO-EX: A TOOL FOR LINKING CONCEPTS FROM TEXTS TO CONCEPTNET
Maria Becker, Katharina Korfhage and Anette Frank
DOMAIN EXPERT PLATFORM FOR GOAL-ORIENTED DIALOG COLLECTION
Didzis Goško, Arturs Znotins, Inguna Skadina, Normunds Gruzitis and Gunta Nešpore-Bērzkalne
EASYTURK: A USER-FRIENDLY INTERFACE FOR HIGH-QUALITY LINGUISTIC ANNOTATION WITH AMAZON MECHANICAL TURK
Lorenzo Bocchi, Valentino Frasnelli and Alessio Palmero Aprosio
EUROPEAN LANGUAGE GRID: A JOINT PLATFORM FOR THE EUROPEAN LANGUAGE TECHNOLOGY COMMUNITY
Georg Rehm, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Victoria Arranz, Andrejs Vasiļjevs, Gerhard Backfried, Jose Manuel Gomez-Perez, Ulrich Germann, Rémi Calizzano, Nils Feldhus, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Julian Moreno-Schneider, Dimitris Galanis, Penny Labropoulou, Miltos Deligiannis, Katerina Gkirtzou, Athanasia Kolovou, Dimitris Gkoumas, Leon Voukoutis, Ian Roberts, Jana Hamrlova, Dusan Varis, Lukas Kacena, Khalid Choukri, Valérie Mapelli, Mickaël Rigault, Julija Melnika, Miro Janosik, Katja Prinz, Andres Garcia-Silva, Cristian Berrio, Ondrej Klejch and Steve Renals
FINITE-STATE SCRIPT NORMALIZATION AND PROCESSING UTILITIES: THE NISABA BRAHMIC LIBRARY
Cibu Johny, Lawrence Wolf-Sonkin, Alexander Gutkin and Brian Roark
HULK: AN ENERGY EFFICIENCY BENCHMARK PLATFORM FOR RESPONSIBLE NATURAL LANGUAGE PROCESSING
Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin and William Yang Wang
INTERPRET: AN INTERACTIVE VISUALIZATION TOOL FOR INTERPRETING TRANSFORMERS
Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Simoes, Daniel Korat, Oren Pereg, Gadi Singer and Moshe Wasserblat
LOME: LARGE ONTOLOGY MULTILINGUAL EXTRACTION
Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White and Benjamin Van Durme
MADDOG: A WEB-BASED SYSTEM FOR ACRONYM IDENTIFICATION AND DISAMBIGUATION
Amir Pouran Ben Veyseh, Franck Dernoncourt, Walter Chang and Thien Huu Nguyen
MASSIVE CHOICE, AMPLE TASKS (MACHAMP): A TOOLKIT FOR MULTI-TASK LEARNING IN NLP
Rob van der Goot, Ahmet Üstün, Alan Ramponi, Ibrahim Sharaf and Barbara Plank
MATILDA - MULTI-ANNOTATOR MULTI-LANGUAGE INTERACTIVELIGHT-WEIGHT DIALOGUE ANNOTATOR
Davide Cucurnia, Nikolai Rozanov, Irene Sucameli, Augusto Ciuffoletti and Maria Simi
OCTIS: COMPARING AND OPTIMIZING TOPIC MODELS IS SIMPLE!
Silvia Terragni, Elisabetta Fersini, Bruno Giovanni Galuzzi, Pietro Tropeano and ANTONIO CANDELIERI
OPUS-CAT: DESKTOP NMT WITH CAT INTEGRATION AND LOCAL FINE-TUNING
Tommi Nieminen
PALADIN: AN ANNOTATION TOOL BASED ON ACTIVE AND PROACTIVE LEARNING
Minh-Quoc Nghiem, Paul Baylis and Sophia Ananiadou
SF-QA: SIMPLE AND FAIR EVALUATION LIBRARY FOR OPEN-DOMAIN QUESTION ANSWERING
Xiaopeng Lu, Kyusong Lee and Tiancheng Zhao
STORY CENTAUR: LARGE LANGUAGE MODEL FEW SHOT LEARNING AS A CREATIVE WRITING TOOL
Ben Swanson, Kory Mathewson, Ben Pietrzak, Sherol Chen and Monica Dinalescu
T-NER: AN ALL-ROUND PYTHON LIBRARY FOR TRANSFORMER-BASED NAMED ENTITY RECOGNITION
Asahi Ushio and Jose Camacho-Collados

Moderator: Gretchen McCulloch.

Panelists:

Alp Öktem, Translators without Borders
Scott Hale, University of Oxford
Robert Monarch, Bay Area NLP community
Jade Abbott (tbc), Masakhane NLP community

18:00-22:00

Gather Town