BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME:program
PRODID:-//Anaïs Tack//Emacs with Org mode//EN
X-WR-TIMEZONE:CST
X-WR-CALDESC:The 19th Workshop on Innovative Use of NLP for Building Educational Applications
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-794df0ed-d118-49f3-8f3f-b9a1dbf3f30a
DTSTART;TZID=America/Mexico_City:20240620T090000
DTEND;TZID=America/Mexico_City:20240620T090500
SUMMARY:Opening Remarks
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-f8987348-00af-4a1b-b1d0-8c2afc4f19ab
DTSTART;TZID=America/Mexico_City:20240620T090500
DTEND;TZID=America/Mexico_City:20240620T095000
SUMMARY:Keynote by Alla Rozovskaya\, “Multilingual Low-Resource Natural Lan
 guage Processing for Language Learning”
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-bda5bd60-7f6e-4e17-907d-b287451ff33a
DTSTART;TZID=America/Mexico_City:20240620T095000
DTEND;TZID=America/Mexico_City:20240620T103000
SUMMARY:Shared Tasks Session
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-5c911ee2-4ca1-47fd-a951-4d49e624d36c
DTSTART;TZID=America/Mexico_City:20240620T095000
DTEND;TZID=America/Mexico_City:20240620T101000
SUMMARY:The BEA 2024 Shared Task on the Multilingual Lexical Simplification
  Pipeline
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Authors: Matth
 ew Shardlow\, Fernando Alva-Manchego\, Riza Batista-Navarro\, Stefan Bott
 \, Saul Calderon Ramirez\, Rémi Cardon\, Thomas François\, Akio Hayakawa\
 , Andrea Horbach\, Anna Huelsing\, Yusuke Ide\, Joseph Marvin Imperial\, 
 Adam Nohejl\, Kai North\, Laura Occhipinti\, Nelson Peréz Rojas\, Nishat 
 Raihan\, Tharindu Ranasinghe\, Martin Solis Salazar\, Sanja Stajner\, Mar
 cos Zampieri\, Horacio Saggion
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-077b7230-f4f5-4332-a3cf-c2522cda3742
DTSTART;TZID=America/Mexico_City:20240620T101000
DTEND;TZID=America/Mexico_City:20240620T103000
SUMMARY:Findings from the First Shared Task on Automated Prediction of Diff
 iculty and Response Time for Multiple-Choice Questions
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Authors: Victo
 ria Yaneva\, Kai North\, Peter Baldwin\, Le An Ha\, Saed Rezayi\, Yiyun Z
 hou\, Sagnik Ray Choudhury\, Polina Harik\, Brian Clauser
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-fd986ab1-6b12-41a5-a29b-e128243856fa
DTSTART;TZID=America/Mexico_City:20240620T103000
DTEND;TZID=America/Mexico_City:20240620T110000
SUMMARY:Morning Coffee Break
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-88c3d036-b590-466e-b117-40edc82c2b01
DTSTART;TZID=America/Mexico_City:20240620T110000
DTEND;TZID=America/Mexico_City:20240620T113000
SUMMARY:Spotlight talks for Poster / Demo Session A (In-person + Virtual)
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-ff68f539-6565-4ac1-8704-98bf6df2c0a5
DTSTART;TZID=America/Mexico_City:20240620T113000
DTEND;TZID=America/Mexico_City:20240620T123000
SUMMARY:Poster / Demo Session A
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:92 Usin
 g Adaptive Empathetic Responses for Teaching English (Li Siyan\, Te
 resa Shao\, Julia Hirschberg\, Zhou Yu) \n\n94 Beyond Flesch-Kincaid: 
 Prompt-based Metrics Improve Difficulty Classification of Education
 al Texts (Donya Rooein\, Paul Röttger\, Anastassia Shaitarova\, Dir
 k Hovy)\n\n99 Can Language Models Guess Your Identity? Analyzing Demo
 graphic Biases in AI Essay Scoring (Alexander Kwako\, Christopher 
 Ormerod) \n\n102 Automated Scoring of Clinical Patient Notes: Fi
 ndings From the Kaggle Competition and Their Translation into Pract
 ice (Victoria Yaneva\, King Yiu Suen\, Le An Ha\, Janet Mee\, Milto
 n Quranda\, Polina Harik)\n\n104 A World CLASSE Student Summar
 y Corpus (Scott Crossley\, Perpetual Baffour\, Mihai Dascalu\, Stef
 an Ruseti) \n\n106 Improving Socratic Question Generation using Data A
 ugmentation and Preference Optimization (Nischal Ashok Kumar\, Andr
 ew Lan)\n\n110 Scoring with Confidence? – Exploring High-confidence S
 coring for Saving Manual Grading Effort (Marie Bexte\, Andrea Horba
 ch\, Lena Schützler\, Oliver Christ\, Torsten Zesch) \n\n113 Im
 proving Transfer Learning for Early Forecasting of Academic Perform
 ance by Contextualizing Language Models (Ahatsham Hayat\, Bilal Kha
 n\, Mohammad Hasan)\n\n114 Can GPT-\n\n4 do L2 analytic assessment? (Stef
 ano Banno\, Hari Krishna Vydana\, Kate Knill\, Mark Gales)\n\n120 Automated Evaluation of Teacher Encouragement of Student-to-Stu
 dent Interactions in a Simulated Classroom Discussion (Michael Ilag
 an\, Beata Beigman Klebanov\, Jamie Mikeska) \n\n121 Explainabl
 e AI in Language Learning: Linking Empirical Evidence and Theoretic
 al Concepts in Proficiency and Readability Modeling of Portuguese (
 Luisa Ribeiro-Flucht\, Xiaobin Chen\, Detmar Meurers)\n\n5 How
  Good are Modern LLMs in Generating Relevant and High-Quality Quest
 ions at Different Bloom’s Skill Levels for Indian High School Socia
 l Science Curriculum? (Nicy Scaria\, Suma Chenna\, Deepak Subramani
 ) \n\n95 Large Language Models Are State-of-the-Art Evaluator for 
 Grammatical Error Correction (Masamune Kobayashi\, Masato Mita\, 
  Mamoru Komachi)\n\n116 Using Program Repair as a Proxy for Language 
 Models’ Feedback Ability in Programming Education (Charles Koutchem
 e\, Nicola Dainese\, Arto Hellas) \n\n122 Fairness in Automated
  Essay Scoring: A Comparative Analysis of Algorithms on German Lear
 ner Essays from Secondary Education (Nils-Jonathan Schaller\, Yunin
 g Ding\, Andrea Horbach\, Jennifer Meyer\, Thorben Jansen)\n\n125 Identifying Fairness Issues in Automatically Generated Testing 
 Content (Kevin Stowe) \n\n105 Predicting Item Difficulty and Item Resp
 onse Time with Scalar-mixed Transformer Encoder Models and Rational
  Network Regression Heads (Sebastian Gombert\, Lukas Menzel\, Danie
 le Di Mitri\, Hendrik Drachsler)\n\n150 UnibucLLM: Harnessing 
 LLMs for Automated Prediction of Item Difficulty and Response Time 
 for Multiple-Choice Questions (Ana-Cristina Rogoz\, Radu Tudor Ione
 scu) \n\n160 The British Council submission to the BEA2024 shared tas
 k (Mariano Felice\, Zeynep Duran Karaoz) \n\n168 ITEC at BEA20  \n\n24 Shared Task: Predicting Difficulty and Response Time of Medical 
 Exam Questions with Statistical\, Machine Learning\, and Language M
 odels (Anaïs Tack\, Siem Buseyne\, Changsheng Chen\, Robbe D’hondt\
 , Michiel De Vrindt\, Alireza Gharahighehi\, Sameh Metwaly\, Felipe
  Kenji Nakano\, Ann-Sophie Noreillie)\n\n184 Item Difficulty a
 nd Response Time Prediction with Large Language Models: An Empirica
 l Analysis of USMLE Items (Okan Bulut\, Guher Gorgun\, Bin Tan) \n\n185 Utilizing Machine Learning to Predict Question Difficulty and 
 Response Time for Enhanced Test Construction (Rishikesh Fulari\, 
 Jonathan Rusert) \n\n186 Leveraging Physical and Semantic Features o
 f text item for Difficulty and Response Time Prediction of USMLE Qu
 estions (Gummuluri Venkata Ravi Ram\, Ashinee Kesanam\, Anand Kumar
  M)\n\n187 UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for 
 Multiple-Choice Questions Difficulty Prediction (George Duenas\, 
 Sergio Jimenez\, Geral Mateus Ferro)\n\n188 Using Machine Learning to
  Predict Item Difficulty and Response Time in Medical Tests (Mehrda
 d Yousefpoori-Naeim\, Shayan Zargari\, Zahra Hatami) \n\n189 La
 rge Language Model-based Pipeline for Item Difficulty and Response 
 Time Estimation for Educational Assessments (Hariram Veeramani\, Su
 rendrabikram Thapa\, Natarajan Balaji Shankar\, Abeer Alwan)\n\n191 UNED team at BEA 2024 Shared Task: Testing different Input Fo
 rmats for predicting Item Difficulty and Response Time in Medical E
 xams (Alvaro Rodrigo\, Sergio Moreno-Álvarez\, Anselmo Peñas)
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-a5ac608c-6f15-46c2-96ce-0335e14ac849
DTSTART;TZID=America/Mexico_City:20240620T123000
DTEND;TZID=America/Mexico_City:20240620T140000
SUMMARY:Lunch Break
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Lunch is not p
 rovided\, but there are plenty of cafes\, restaurants and shops near by w
 ithin walking distance.
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-0f52f6a5-0be5-4eb0-ad9b-63ea9dc72d25
DTSTART;TZID=America/Mexico_City:20240620T140000
DTEND;TZID=America/Mexico_City:20240620T143000
SUMMARY:Spotlight talks for Poster / Demo Session B (In-person + Virtual)
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-f734dbf2-6dc3-472f-b6e2-58fbf4776d36
DTSTART;TZID=America/Mexico_City:20240620T143000
DTEND;TZID=America/Mexico_City:20240620T153000
SUMMARY:Poster / Demo Session B
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:124 Imp
 roving Automated Distractor Generation for Math Multiple-choice Que
 stions with Overgenerate-and-rank (Alexander Scarlatos\, Wanyong Fe
 ng\, Andrew Lan\, Simon Woodhead\, Digory Smith) \n\n133 Evalua
 ting Vocabulary Usage in LLMs (Matthew Durward\, Christopher Thomso
 n)\n\n135 Towards Fine-Grained Pedagogical Control over English Gramm
 ar Complexity in Educational Text Generation (Dominik Glandorf\,  
 Detmar Meurers) \n\n138 LLMs in Short Answer Scoring: Limitations
  and Promise of Zero-Shot and Few-Shot Approaches (Imran Chamieh\, 
 Torsten Zesch\, Klaus Giebermann)\n\n139 Automated Essay Scori
 ng Using Grammatical Variety and Errors with Multi-Task Learning an
 d Item Response Theory (Kosuke Doi\, Katsuhito Sudoh\, Satoshi Naka
 mura) \n\n140 Error Tracing in Programming: A Path to Personalised Fee
 dback (Martha Shaka\, Diego Carraro\, Kenneth Brown)\n\n151 Au
 tomatic Crossword Clues Extraction for Language Learning (Santiago 
 Berruti\, Arturo Collazo\, Diego Sellanes\, Aiala Rosá\, Luis Chiru
 zzo) \n\n154 Anna Karenina Strikes Again: Pre-Trained LLM Embeddings M
 ay Favor High-Performing Learners (Abigail Gurin Schleifer\, Beata\
 n Beigman Klebanov\, Moriah Ariely\, Giora Alexandron)\n\n155 As
 sessing Student Explanations with Large Language Models Using Fine-
 Tuning and Few-Shot Learning (Dan Carpenter\, Wookhee Min\, Seung L
 ee\, Gamze Ozogul\, Xiaoying Zheng\, James Lester) \n\n158 Harnessing 
 GPT to Study Second Language Learner Essays: Can We Use Perplexity 
 to Determine Linguistic Competence? (Ricardo Muñoz Sánchez\, Simon 
 Dobnik\, Elena Volodina)\n\n166 BERT-IRT: Accelerating Item Piloting 
 with BERT Embeddings and Explainable IRT Models (Kevin P. Yancey\, 
 Andrew Runge\, Geoffrey LaFlair\, Phoebe Mulcaire) \n\n171 From
  Miscue to Evidence of Difficulty: Analysis of Automatically Detect
 ed Miscues in Oral Reading for Feedback Potential (Beata Beigman Kl
 ebanov\, Michael Suhan\, Tenaha O’Reilly\, Zuowei Wang)\n\n132 Toward
 s Automated Document Revision: Grammatical Error Correction\, Fluen
 cy Edits\, and Beyond (Masato Mita\, Keisuke Sakaguchi\, Masato Hag
 iwara\, Tomoya Mizumoto\, Jun Suzuki\, Kentaro Inui) \n\n141 Im
 proving Readability Assessment with Ordinal Log-Loss (Ho Hung Lim\,
  John Lee)\n\n145 Automated Sentence Generation for a Spaced Repetiti
 on Software (Benjamin Paddags\, Daniel Hershcovich\, Valkyrie Savag
 e) \n\n146 Using Large Language Models to Assess Young Students’ Writi
 ng Revisions (Tianwen Li\, Zhexiong Liu\, Lindsay Matsumura\, Elain
 e Wang\, Diane Litman\, Richard Correnti)\n\n167 Transfer Lear
 ning of Argument Mining in Student Essays (Yuning Ding\, Julian Loh
 mann\, Nils-Jonathan Schaller\, Thorben Jansen\, Andrea Horbach) \n\n170 Building Robust Content Scoring Models for Student Explanations\
 n of Social Justice Science Issues (Allison Bradford\, Kenneth 
  Steimel\, BRIAN Riordan\, Marcia Linn) \n\n174 TMU-HIT at MLSP 2024: 
 How Well Can GPT-4 Tackle Multilingual Lexical Simplification? (Tai
 sei Enomoto\, Hwichan Kim\, Tosho Hirasawa\, Yoshinari Nagai\, Ayak
 o Sato\, Kyotaro Nakajima\, Mamoru Komachi)\n\n175 ANU at MLSP
 -2024: Prompt-based Lexical Simplification for English and Sinhala 
 (Sandaru Seneviratne\, Hanna Suominen)\n\n176 ISEP_Presidency_Univers
 ity at MLSP 2024 Shared Task: Using GPT-3.5 to Generate Substitutes
  for Lexical Simplification (Benjamin Dutilleul\, Mathis Debaillon\
 , Sandeep Mathias)\n\n177 Machine Translation for Lexical Complexity 
 Prediction and Lexical Simplification (Petru Cristea\, Sergiu Nisio
 i) \n\n178 RETUYT-INCO at MLSP 2024: Experiments on Language Simplific
 ation using Embeddings\, Classifiers and Large Language Models (Ign
 acio Sastre\, Leandro Alfonso\, Facundo Fleitas\, Federico Gil\, An
 drés Lucas\, Tomás Spoturno\, Santiago Góngora\, Aiala Rosá\, Luis\
 n Chiruzzo)\n\n181 GMU at MLSP 2024: Multilingual Lexical Simpli
 fication with Transformer Models (Dhiman Goswami\, Kai North\, Marc
 os Zampieri)\n\n182 ITEC at MLSP 2024: Transferring Predictions of Le
 xical Difficulty from Non-Native Readers (Anaïs Tack)
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-a07e8368-63e8-4437-a5b4-75835c60b1b0
DTSTART;TZID=America/Mexico_City:20240620T153000
DTEND;TZID=America/Mexico_City:20240620T160000
SUMMARY:Afternoon Coffee Break
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-bb22fb8f-40da-439f-83f2-ac88e7f17980
DTSTART;TZID=America/Mexico_City:20240620T160000
DTEND;TZID=America/Mexico_City:20240620T172000
SUMMARY:Oral Presentations
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-de3a2718-8989-4ea6-9fad-717e459c19ad
DTSTART;TZID=America/Mexico_City:20240620T160000
DTEND;TZID=America/Mexico_City:20240620T162000
SUMMARY:Synthetic Data Generation for Low-resource Grammatical Error Correc
 tion with Tagged Corruption Models
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Authors: Felix
  Stahlberg\, Shankar Kumar
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-7ee005c6-ef9c-448f-bafa-d6b5cf8db8d2
DTSTART;TZID=America/Mexico_City:20240620T162000
DTEND;TZID=America/Mexico_City:20240620T164000
SUMMARY:Pillars of Grammatical Error Correction: Comprehensive Inspection O
 f Contemporary Approaches In The Era of Large Language Models
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Authors: Kosti
 antyn Omelianchuk\, Andrii Liubonko\, Oleksandr Skurzhanskyi\, Artem Cher
 nodub\, Oleksandr Korniienko\, Igor Samokhin
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-6942f87b-d4c4-4f0d-ab29-168f428b9f33
DTSTART;TZID=America/Mexico_City:20240620T164000
DTEND;TZID=America/Mexico_City:20240620T170000
SUMMARY:Exploring LLM Prompting Strategies for Joint Essay Scoring and Feed
 back Generation
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Authors: Maja 
 Stahl\, Leon Biermann\, Andreas Nehring\, Henning Wachsmuth
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-54dab31e-9b12-4e98-be81-eafb62114234
DTSTART;TZID=America/Mexico_City:20240620T170000
DTEND;TZID=America/Mexico_City:20240620T172000
SUMMARY:Predicting Initial Essay Quality Scores to Increase the Efficiency 
 of Comparative Judgment Assessments
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:  Authors: Michi
 el De Vrindt\, Anaïs Tack\, Renske Bouwer\, Wim Van Den Noortgate\, Marij
 e Lesterhuis
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-b7256907-e308-435f-9977-1efc02f6b0c3
DTSTART;TZID=America/Mexico_City:20240620T172000
DTEND;TZID=America/Mexico_City:20240620T173000
SUMMARY:Closing remarks & Best paper awards
LOCATION:Don Alberto 4 (in person) or https://underline.io/events/458/sessi
 ons?eventSessionId=17415 (remote)
DESCRIPTION:
CATEGORIES:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240618T203755Z
UID:TS1-37e80d35-cade-41c9-a256-335df399f95d
DTSTART;TZID=America/Mexico_City:20240620T180000
DTEND;TZID=America/Mexico_City:20240620T200000
SUMMARY:Workshop Dinner
LOCATION:TBD
DESCRIPTION:
CATEGORIES:
END:VEVENT
END:VCALENDAR
