Conference Schedule - Thursday, April 22

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Chair: Vera Demberg
  • Joint Coreference Resolution and Character Linking for Multiparty Conversation
  • Top-down Discourse Parsing via Sequence Labelling
  • Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
Chair: Barbara Plank
  • Identifying Named Entities as they are Typed
  • Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
  • An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
Chair: Roi Reichart
  • We Need To Talk About Random Splits
  • Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries
  • Detecting Scenes in Fiction: A new Segmentation Task
Chair: Cristina España-Bonet
  • Multi-split Reversible Transformers Can Enhance Neural Machine Translation
  • Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning
  • Revisiting Multi-Domain Machine Translation (TACL)
Chair: Grzegorz Chrupala
  • ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
  • An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
  • Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
Chair: Sara Stymne
  • A phonetic model of non-native spoken word processing
  • Meta-Learning for Effective Multi-task and Multilingual Modelling
  • Deciphering Undersegmented Ancient Scripts Using Phonetic Prior (TACL)
Chair: Marianna Apidianaki
  • PolyLM: Learning about Polysemy through Language Modeling
  • Evaluating language models for the retrieval and categorization of lexical collocations
  • Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings
11:00-14:00
Gather Town
Chair: Matthew Purver
  • Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
  • MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations
  • Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models
Chair: Anders Søgaard
  • Adaptive Mixed Component LDA for Low Resource Topic Modeling
  • Hidden Biases in Unreliable News Detection Datasets
  • ProFormer: Towards On-Device LSH Projection Based Transformers
Chair: Gosse Bouma
  • Disambiguatory Signals are Stronger in Word-initial Positions
  • Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT
  • Probing for idiomaticity in vector space models
Chair: Jeremy Barnes
  • Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
  • "Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space
  • Challenges in Automated Debiasing for Toxic Language Detection
Chair: Ionut-Teodor Sorodoc
  • A Computational Analysis of Vagueness in Revisions of Instructional Texts
  • Familiar words but strange voices: Modelling the influence of speech variability on word recognition
  • Towards Personalised and Document-level Machine Translation of Dialogue
  • TMR: Evaluating NER Recall on Tough Mentions
  • If you’ve got it, flaunt it: Making the most of fine-grained sentiment annotations
  • ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations
  • CD^2CR: Co-reference resolution across documents and domains
  • Joint Coreference Resolution and Character Linking for Multiparty Conversation
  • Improving Factual Consistency Between a Response and Persona Facts
  • Top-down Discourse Parsing via Sequence Labelling
  • Ellipsis Resolution as Question Answering: An Evaluation
  • Mode Effects’ Challenge to Authorship Attribution
  • Automatic Data Acquisition for Event Coreference Resolution
  • An Expert Annotated Dataset for the Detection of Online Misogyny
  • Cross-Topic Rumor Detection using Topic-Mixtures
  • Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
  • What Sounds “Right” to Me? Experiential Factors in the Perception of Political Ideology
  • Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
  • “Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space
  • Content-based Models of Quotation
  • Scientific Discourse Tagging for Evidence Extraction
  • From Toxicity in Online Comments to Incivility in American News: Proceed with Caution
  • BERTective: Language Models and Contextual Information for Deception Detection
  • Gender and Racial Fairness in Depression Research using Social Media
  • Challenges in Automated Debiasing for Toxic Language Detection
  • Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
  • Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
  • “Talk to me with left, right, and angles”: Lexical entrainment in spoken Hebrew dialogue
  • A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
  • Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
  • Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling
  • Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolóxochitl Mixtec
  • Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
  • Language Modelling as a Multi-Task Problem
  • On the evolution of syntactic information encoded by BERT’s contextualized representations
  • Calculating the optimal step of arc-eager parsing for non-projective trees
  • Subword Pooling Makes a Difference
  • VoiSeR: A New Benchmark for Voice-Based Search Refinement
  • On the Computational Modelling of Michif Verbal Morphology
  • On Hallucination and Predictive Uncertainty in Conditional Language Generation
  • Measuring and Improving Faithfulness of Attention in Neural Machine Translation
  • Segmenting Subtitles for Correcting ASR Segmentation Errors
  • PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation
  • DISK-CSV: Distilling Interpretable Semantic Knowledge with a Class Semantic Vector
  • Attention Can Reflect Syntactic Structure (If You Let It)
  • Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense
  • Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules
  • From characters to words: the turning point of BPE merges
  • WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm
  • Unsupervised Sentence-embeddings by Manifold Approximation and Projection
  • BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
  • Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning
  • How Fast can BERT Learn Simple Natural Language Inference?
  • Generative Text Modeling through Short Run Inference
  • Randomized Deep Structured Prediction for Discourse-Level Processing
  • Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation
  • BART-TL: Weakly-Supervised Topic Label Generation
  • Few-shot Learning for Slot Tagging with Attentive Relational Network
  • Active Learning for Sequence Tagging with Deep Pre-trained Models and {B}ayesian Uncertainty Estimates
  • Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
  • Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models
  • Acquiring a Formality-Informed Lexical Resource for Style Analysis
  • ADePT: Auto-encoder based Differentially Private Text Transformation
  • Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations
  • Annealing Knowledge Distillation
  • How Good (really) are Grammatical Error Correction Systems?
  • Extremely Small BERT Models from Mixed-Vocabulary Training
  • Diverse Adversaries for Mitigating Bias in Training
  • Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
  • Text Augmentation in a Multi-Task View
  • Benchmarking a transformer-FREE model for ad-hoc retrieval
  • Unification-based Reconstruction of Multi-hop Explanations for Science Questions
  • Knowledge Base Question Answering through Recursive Hypergraphs
  • Identifying Named Entities as they are Typed
  • Cross-lingual Contextualized Topic Models with Zero-shot Learning
  • Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
  • How Certain is Your {T}ransformer?
  • Learning Relatedness between Types with Prototypes for Relation Extraction
  • Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents
  • FAST: Financial News and Tweet Based Time Aware Network for Stock Trading
  • Adaptive Mixed Component LDA for Low Resource Topic Modeling
  • Hidden Biases in Unreliable News Detection Datasets
  • LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction
  • Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering
  • Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
  • ProFormer: Towards On-Device LSH Projection Based Transformers
  • ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction
  • Representations for Question Answering from Documents with Tables and Text
  • Modeling Context in Answer Sentence Selection Systems on a Latency Budget
  • Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?
  • One-class Text Classification with Multi-modal Deep Support Vector Data Description
  • Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations
  • An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
  • Computationally Efficient Wasserstein Loss for Structured Labels
    Ayato Toyokuni, Sho Yokoi, Hisashi Kashima and Makoto Yamada
  • Have Attention Heads in BERT Learned Constituency Grammar?
    Ziyang Luo
  • Do we read what we hear? Modeling orthographic influences on spoken word recognition
    Nicole Macher, Badr M. Abdullah, Harm Brouwer and Dietrich Klakow
  • PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation
    Dimitris Papadopoulos, Nikolaos Papadakis and Nikolaos Matsatsinis
  • A Computational Analysis of Vagueness in Revisions of Instructional Texts
    Alok Debnath and Michael Roth
  • A reproduction of Apple's bi-directional LSTM models for language identification in short strings
    Mads Toftrup, Søren Asger Sørensen, Manuel R. Ciosici and Ira Assent
  • Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings
    Nazmul Kazi, Nathaniel Lane and Indika Kahanda
  • Model Agnostic Answer Reranking System for Adversarial Question Answering
    Sagnik Majumder, Chinmoy Samant and Greg Durrett
  • BERT meets Cranfield: Uncovering the Properties of Full Ranking on Fully Labeled Data
    Negin Ghasemi and Djoerd Hiemstra
  • Siamese Neural Networks for Detecting Complementary Products
    Marina Angelovska, Sina Sheikholeslami, Bas Dunn and Amir H. Payberah
  • Contrasting distinct structured views to learn sentence embeddings
    Antoine Simoulin and Benoit Crabbé
  • Discrete Reasoning Templates for Natural Language Understanding
    Hadeel Al-Negheimish, Pranava Madhyastha and Alessandra Russo
  • Multilingual Email Zoning
    Bruno Jardim, Ricardo Rei and Mariana S. C. Almeida
  • Familiar words but strange voices: Modelling the influence of speech variability on word recognition
    Alexandra Mayn, Badr M. Abdullah and Dietrich Klakow
  • Emoji-Based Transfer Learning for Sentiment Tasks
    Susann Boy, Dana Ruiter and Dietrich Klakow
  • A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
    Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera and Pawan Goyal
  • TMR: Evaluating NER Recall on Tough Mentions
    Jingxuan Tu and Constantine Lignos
  • The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
    Jonne Saleva and Constantine Lignos
  • Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training
    Takeshi Kojima, Yusuke Iwasawa and Yutaka Matsuo
  • Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers
    Liina Repo, Valtteri Skantsi, Samuel Rönnqvist, Saara Hellström, Miika Oinonen, Anna Salmela, Douglas Biber, Jesse Egbert, Sampo Pyysalo and Veronika Laippala
  • Explaining and Improving BERT Performance on Lexical Semantic Change Detection
    Severin Laicher, Sinan Kurtyigit, Dominik Schlechtweg, Jonas Kuhn and Sabine Schulte im Walde
  • Why Find the Right One?
    Payal Khullar
  • Development of Conversational AI for Sleep Coaching Programme
    Heereen Shim
  • Relating Relations: Meta-Relation Extraction from Online Health Forum Posts
    Daniel Stickley
  • Towards Personalised and Document-level Machine Translation of Dialogue
    Sebastian Vincent
  • Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain
    Andrea Morales-Garzón, Juan Gómez-Romero and Maria J. Martin-Bautista
  • A NEW SURPRISE MEASURE FOR EXTRACTING INTERESTING RELATIONSHIPS BETWEEN PERSONS
    Hidetaka Kamigaito, Jingun Kwon, Young-In Song and Manabu Okumura
  • ANSWERQUEST: A SYSTEM FOR GENERATING QUESTION-ANSWER ITEMS FROM MULTI-PARAGRAPH DOCUMENTS
    Melissa Roemmele, Deep Sidhpura, Steve DeNeefe and Ling Tsou
  • ASAD: ARABIC SOCIAL MEDIA ANALYTICS AND UNDERSTANDING
    Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali and Kareem Darwish
  • COVRELEX: A COVID-19 RETRIEVAL SYSTEM WITH RELATION EXTRACTION
    Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto and Minh Nguyen
  • CONVERSATIONAL AGENT FOR DAILY LIVING ASSESSMENT COACHING DEMO
    Raymond Finzel, Aditya Gaydhani, Sheena Dufresne, Maria Gini and Serguei Pakhomov
  • DEBIE: A PLATFORM FOR IMPLICIT AND EXPLICIT DEBIASING OF WORD EMBEDDING SPACES
    Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto and Goran Glavaš
  • FORUM 4.0: AN OPEN-SOURCE USER COMMENT ANALYSIS FRAMEWORK
    Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft and Walid Maalej
  • GRAPH MATCHING AND GRAPH REWRITING: GREW TOOLS FOR CORPUS EXPLORATION, MAINTENANCE AND CONVERSION
    Bruno Guillaume
  • ELITR MULTILINGUAL LIVE SUBTITLING: DEMO AND STRATEGY
    Ondřej Bojar, Dominik Macháček, Sangeet Sagar, Otakar Smrž, Jonáš Kratochvíl, Peter Polák, Ebrahim Ansari, Mohammad Mahmoudi, Rishu Kumar, Dario Franceschini, Chiara Canton, Ivan Simonini, Thai-Son Nguyen, Felix Schneider, Sebastian Stüker, Alex Waibel, Barry Haddow, Rico Sennrich and Philip Williams
  • FRAMEFORM: AN OPEN-SOURCE ANNOTATION INTERFACE FOR FRAMENET
    Büşra Marşan and Olcay Taner Yıldız
  • GCM: A TOOLKIT FOR GENERATING SYNTHETIC CODE-MIXED TEXT
    Mohd Sanad Zaki Rizvi, Anirudh Srinivasan, Tanuja Ganu, Monojit Choudhury and Sunayana Sitaram
  • PUNKTUATOR: A MULTILINGUAL PUNCTUATION RESTORATION SYSTEM FOR SPOKEN AND WRITTEN TEXT
    Varnith Chordia
  • REPRESENTING ELMO EMBEDDINGS AS TWO-DIMENSIONAL TEXT ONLINE
    Andrey Kutuzov and Elizaveta Kuzmenko
  • SLTEV: COMPREHENSIVE EVALUATION OF SPOKEN LANGUAGE TRANSLATION
    Ebrahim Ansari, Ondřej Bojar, Barry Haddow and Mohammad Mahmoudi
  • SCOT: SENSE CLUSTERING OVER TIME: A TOOL FOR THE ANALYSIS OF LEXICAL CHANGE
    Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich and Chris Biemann
  • T2NER: TRANSFORMERS BASED TRANSFER LEARNING FRAMEWORK FOR NAMED ENTITY RECOGNITION
    Saadullah Amin and Guenter Neumann
  • TRANKIT: A LIGHT-WEIGHT TRANSFORMER-BASED TOOLKIT FOR MULTILINGUAL NATURAL LANGUAGE PROCESSING
    Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh and Thien Huu Nguyen
  • USING AND COMPARING RHETORICAL STRUCTURE THEORY PARSERS WITH RST-WORKBENCH
    Arne Neumann
  • WHICH IS BETTER FOR DEEP LEARNING: PYTHON OR MATLAB? ANSWERING COMPARATIVE QUESTIONS IN NATURAL LANGUAGE
    Viktoriia Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva and Alexander Panchenko
17:00-18:00
Keynote 2: Fernanda Ferreira
18:00-22:00
Gather Town