Conference Schedule - Wednesday, April 21

Show times in:
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