Papers with web-based system
ADIDA: Automatic Dialect Identification for Arabic (N19-4)
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| Challenge: | Demo paper describes a web-based system for automatic dialect identification for Arabic text. |
| Approach: | They present a web-based system for automatic dialect identification for Arabic text that distinguishes between 25 Arab cities and Modern Standard Arabic. |
| Outcome: | The proposed system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) and Modern Standard Arabic (MSA). |
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences (2020.acl-demos)
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Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han
| Challenge: | EVIDENCEMINER is a web-based system that allows users to query a natural language statement and retrieve textual evidence from a background corpora for life sciences. |
| Approach: | They propose a web-based system that lets users query a natural language statement and automatically retrieves textual evidence from a background corpora for life sciences. |
| Outcome: | EVIDENCEMINER is a web-based system that lets users query a natural language statement and automatically retrieves textual evidence from a background corpora for life sciences. |
ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts (2020.emnlp-demos)
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| Challenge: | ENTYFI is a web-based system for fine-grained typing of entity mentions in fictional texts. |
| Approach: | They propose a web-based system for fine-grained typing of entity mentions in fictional texts . entity types are a core building block of current knowledge bases . |
| Outcome: | The proposed system builds on 205 automatically induced high-quality type systems for popular fictional domains and provides recommendations towards reference type systems. |
GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction (2025.coling-demos)
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| Challenge: | GECTurk WEB is an open-source, web-based system that can detect and correct most common forms of Turkish writing errors. |
| Approach: | They propose a web-based system that detects and corrects most common errors in Turkish . it provides an easy-to-use tool for native speakers and second language learners . |
| Outcome: | The proposed system achieves 88,3 system usability score and is shown to help learn/remember a grammatical rule. |
MadDog: A Web-based System for Acronym Identification and Disambiguation (2021.eacl-demos)
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| Challenge: | Acronyms and abbreviations are the short-form of longer phrases and are frequently used in writing but they can also present challenges for newcomers. |
| Approach: | They propose to develop a web-based acronym identification and disambiguation system which can process acronyms from various domains including scientific, biomedical, and general domains. |
| Outcome: | The proposed system can process acronyms from scientific, biomedical, and general domains. |
PerspectroScope: A Window to the World of Diverse Perspectives (P19-3)
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| Challenge: | PerspectroScope is a web-based system that lets users query a discussion-worthy natural language claim . |
| Approach: | They propose a web-based system which lets users query a discussion-worthy natural language claim and extract and visualize various perspectives in support or against the claim. |
| Outcome: | The proposed system lets users query a discussion-worthy natural language claim and extract and visualize various perspectives in support or against the claim. |
Visualizing Inferred Morphotactic Systems (N19-4)
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| Challenge: | a web-based system facilitates the exploration of complex morphological patterns found in morphology rich languages. |
| Approach: | They propose a web-based system that facilitates the exploration of complex morphological patterns found in morphology rich languages. |
| Outcome: | The proposed system can be used to explore morphological patterns in morphology rich languages. |
OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data (2021.emnlp-demo)
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Vibhu Bhatia, Vidya Prasad Akavoor, Sejin Paik, Lei Guo, Mona Jalal, Alyssa Smith, David Assefa Tofu, Edward Edberg Halim, Yimeng Sun, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya
| Challenge: | Existing frameworks for analyzing frames in multilingual text documents are available online and via an API. |
| Approach: | They propose a web-based system for analyzing frames in multilingual text documents . framework combines unsupervised and supervised machine learning and leverages a state-of-the-art multilingual language model . |
| Outcome: | The proposed framework can significantly improve frame prediction performance while requiring a small sample of manual annotations. |
PathBuilder: A Quality-Controlled LLM System for Personalized Learning Pathways (2026.acl-demo)
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Jasper Meynard Arana, John Andrew Mañacop, John Allen Manacop, Roy Andrew Garcia, Keith Rick Piniera, Kristine Ann M. Carandang, Ethan Robert Casin, Christian Alis, Christopher Monterola
| Challenge: | Large language models (LLMs) enable scalable content generation for personalized learning, but reliability and pedagogical alignment remain open challenges. |
| Approach: | They propose a web-based system that integrates expert-validated assessment, retrieval-augmented generation (RAG), and an LLM-as-a-Judge validation loop within a closed instructional pipeline. |
| Outcome: | The proposed system achieves a gain of 37.9 percentage points and a large effect size in a real-world deployment with 179 registered users. |
BAREC Demo: Resources and Tools for Sentence-level Arabic Readability Assessment (2025.emnlp-demos)
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| Challenge: | Existing efforts to assess the readability of Arabic text are limited due to its rich morphology, complex syntax, and ambiguous orthography. |
| Approach: | They propose a web-based system for fine-grained, sentence-level Arabic readability assessment. |
| Outcome: | The demo provides two main functionalities for educators, content creators, language learners, and researchers: (1) a Search interface to explore the annotated dataset for text selection and resource development; (2) an Analyze interface to assign detailed readability labels to Arabic texts at the sentence level. |