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Found 37 papers, 8 papers with code
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
In this paper, we present our submission to the SemEval-2024 Task 8 "Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection", focusing on the detection of machine-generated texts (MGTs) in English.
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
In this paper, we present our submission to the SemEval-2023 Task~3 "The Competition of Multimodal Emotion Cause Analysis in Conversations", focusing on extracting emotion-cause pairs from dialogs.
REFeREE: A REference-FREE Model-Based Metric for Text Simplification
Text simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly.
What Makes Math Word Problems Challenging for LLMs?
This paper investigates the question of what makes math word problems (MWPs) in English challenging for large language models (LLMs).
Are LLMs Good Cryptic Crossword Solvers?
Cryptic crosswords are puzzles that rely not only on general knowledge but also on the solver's ability to manipulate language on different levels and deal with various types of wordplay.
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
Question generation (QG) is a natural language processing task with an abundance of potential benefits and use cases in the educational domain.
BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages
Current research on automatic readability assessment (ARA) has focused on improving the performance of models in high-resource languages such as English.
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues.
Automatic Readability Assessment for Closely Related Languages
Consequently, when both linguistic representations are combined, we achieve state-of-the-art results for Tagalog and Cebuano, and baseline scores for ARA in Bikol.
How Useful are Educational Questions Generated by Large Language Models?
Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike.
Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits
We present an adaptive learning Intelligent Tutoring System, which uses model-based reinforcement learning in the form of contextual bandits to assign learning activities to students.
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
Our personalized feedback can pinpoint correct and incorrect or missing phrases in student answers as well as guide them towards correct answer by asking a question in natural language.
Question Personalization in an Intelligent Tutoring System
This paper investigates personalization in the field of intelligent tutoring systems (ITS).
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions
AI-powered learning can provide millions of learners with a highly personalized, active and practical learning experience, which is key to successful learning.
Word Complexity is in the Eye of the Beholder
Lexical complexity is a highly subjective notion, yet this factor is often neglected in lexical simplification and readability systems which use a {''}one-size-fits-all{''} approach.
Comparative Study of Learning Outcomes for Online Learning Platforms
Personalization and active learning are key aspects to successful learning.
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
We test our method in a dialogue-based ITS and demonstrate that our approach results in high-quality feedback and significantly improved student learning gains.
MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models
This paper describes a semi-supervised system that jointly learns verbal multiword expressions (VMWEs) and dependency parse trees as an auxiliary task.
Detecting Multiword Expression Type Helps Lexical Complexity Assessment
In this work, we re-annotate the Complex Word Identification Shared Task 2018 dataset of Yimam et al. (2017), which provides complexity scores for a range of lexemes, with the types of MWEs.
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
We present Korbit, a large-scale, open-domain, mixed-interface, dialogue-based intelligent tutoring system (ITS).
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System
Our model is used in Korbit, a large-scale dialogue-based ITS with thousands of students launched in 2019, and we demonstrate that the personalized feedback leads to considerable improvement in student learning outcomes and in the subjective evaluation of the feedback.
SeCoDa: Sense Complexity Dataset
The Sense Complexity Dataset (SeCoDa) provides a corpus that is annotated jointly for complexity and word senses.
Incorporating Multiword Expressions in Phrase Complexity Estimation
Multiword expressions (MWEs) were shown to be useful in a number of NLP tasks.
Recursive Context-Aware Lexical Simplification
This paper presents a novel architecture for recursive context-aware lexical simplification, REC-LS, that is capable of (1) making use of the wider context when detecting the words in need of simplification and suggesting alternatives, and (2) taking previous simplification steps into account.
Comparative judgments are more consistent than binary classification for labelling word complexity
Lexical simplification systems replace complex words with simple ones based on a model of which words are complex in context.
Complex Word Identification as a Sequence Labelling Task
Complex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline.
Automatic learner summary assessment for reading comprehension
Automating the assessment of learner summaries provides a useful tool for assessing learner reading comprehension.
Text Readability Assessment for Second Language Learners
This paper addresses the task of readability assessment for the texts aimed at second language (L2) learners.
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting
This paper presents the winning systems we submitted to the Complex Word Identification Shared Task 2018.
Modelling semantic acquisition in second language learning
Using methods of statistical analysis, we investigate how semantic knowledge is acquired in English as a second language and evaluate the pace of development across a number of predicate types and content word combinations, as well as across the levels of language proficiency and native languages.
`Calling on the classical phone': a distributional model of adjective-noun errors in learners' English
In this paper we discuss three key points related to error detection (ED) in learners{'} English.
