Papers with system architecture
A Multilingual Reading Comprehension System for more than 100 Languages (2020.coling-demos)
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Anthony Ferritto, Sara Rosenthal, Mihaela Bornea, Kazi Hasan, Rishav Chakravarti, Salim Roukos, Radu Florian, Avi Sil
| Challenge: | Recent advances in open domain question answering (QA) have focused on machine reading comprehension (MRC) |
| Approach: | They propose a multilingual machine reading comprehension (MRC) demo which can answer questions in over 100 languages. |
| Outcome: | The proposed system can answer questions in over 100 languages and integrates with IBM Watson's machine translation widget to improve language accessibility. |
AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis (2026.acl-demo)
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Massimiliano Pronesti, Angelo Miculescu, Mohsin Kapdi, Paul Flanagan, Oisín Redmond, Joao H Bettencourt-Silva, Gurdeep Singh Mannu, Spiros Denaxas, Rui Providencia, Anya Belz, Yufang Hou
| Challenge: | Existing systems that generate publication-ready forest plots from biomedical papers are fragmented and time-consuming. |
| Approach: | They propose a system that generates publication-ready forest plots directly from biomedical papers . autoforest automatically suggests ICO elements, extracts outcome data and performs statistical synthesis . authors demonstrate how the system can accelerate evidence synthesis and lower the barrier to conducting meta-analyses . |
| Outcome: | The proposed system accelerates evidence synthesis and lowers the barrier to meta-analyses. |
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support (2025.emnlp-demos)
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Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf, Markus Mühling, Jörg Schlötterer, Christin Seifert
| Challenge: | Existing systems that provide contextually relevant information are difficult to deploy in a university setting . a number of universities are developing or using chatbots to support prospective students . |
| Approach: | They propose a conversational agent called Marcel that uses retrieval-augmented generation to provide contextually relevant information. |
| Outcome: | The proposed system is designed to provide fast and personalized responses while reducing workload. |
Sounding Board: A User-Centric and Content-Driven Social Chatbot (N18-5)
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Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf
| Challenge: | Sounding Board is a social chatbot that can hold a coherent conversation with humans . the system is user-centric in that users can control the topic of conversation, while the system adapts to the user's needs. |
| Approach: | They present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. |
| Outcome: | The system is user-centric in that users can control the topic of conversation, while the system adapts to the user's needs. |
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. |
GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs (2026.acl-demo)
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Ying-Hsiang Huang, Claire Gong, Shreya Shaji, Alison R Yan, Leslie Harka, Albert Du, Anjali Shubha Gopal, Samuel J Klein, Shannon Zejiang Shen, Mark E. Phillips, Trevor Owens, Kyle Deeds, Benjamin Charles Germain Lee
| Challenge: | Efforts over the past three decades have produced web archives containing billions of webpage snapshots and petabytes of data. |
| Approach: | They propose a public search system that supports multimodal searches across 10,015,993 federal government PDFs from the 2020 End of Term crawl. |
| Outcome: | The proposed system supports multimodal searches across 10,015,993 federal government PDFs from the 2020 End of Term crawl (70,958,487 total PDF pages) significant compute cost for GovScape’s pre-processing pipeline for 10 million PDFs was approximately 1,500, equivalent to 47,000 PDF pages per dollar spent on compute. |
Speakerly: A Voice-based Writing Assistant for Text Composition (2023.emnlp-industry)
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Dhruv Kumar, Vipul Raheja, Alice Kaiser-Schatzlein, Robyn Perry, Apurva Joshi, Justin Hugues-Nuger, Samuel Lou, Navid Chowdhury
| Challenge: | Speakerly TM is a voice-based writing assistance system that works across the different stages of writing. |
| Approach: | They propose a voice-based writing assistance system that helps users with text composition across various use cases such as emails, instant messages, and notes. |
| Outcome: | The proposed system can be used for email, instant messages, and notes. |
Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems (2025.coling-industry)
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| Challenge: | Existing methods for zero-shot slot filling focus on text data, overlooking conversational data. |
| Approach: | They propose a method for automatic data annotation with slot induction and black-box knowledge distillation from a teacher LLM to a smaller model. |
| Outcome: | The proposed method outperforms existing models on internal datasets by 26% relative increase in F1 score. |
Compact Personalized Models for Neural Machine Translation (D18-1)
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| Challenge: | a large proportion of model parameters can be frozen during adaptation with minimal or no reduction in translation quality. |
| Approach: | They propose gradient-based domain adaptation methods for self-attentive machine translation models . they encourage structured sparsity in the set of offset tensors during learning . |
| Outcome: | The proposed method achieves high space and time efficiency using sparse models . the results compare the proposed method with incremental adaptation . |
Automatic Text Simplification for Social Good: Progress and Challenges (2021.findings-acl)
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| Challenge: | ATS has been promoted as a natural language processing task since the 1990s . but since 2010, the field has been focusing on building complex end-to-end neural architectures based on ATS . |
| Approach: | They propose to use automated text simplification (ATS) to make texts more accessible to people with disabilities . they argue that lack of high-quality TS datasets and standardized evaluation procedures are barriers . |
| Outcome: | The proposed neural ATS systems are based on a new set of TS datasets and a standardized evaluation procedure. |
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages (2022.emnlp-main)
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| Challenge: | Recent advances in neural language modeling and multilingual training have prompted widespread adoption of machine translation (MT) technologies across an unprecedented range of world languages. |
| Approach: | They propose to use a dataset to assess the impact of two state-of-the-art NMT systems, Google Translate and the multilingual mBART-50 model, on translation productivity. |
| Outcome: | The proposed model is faster than translation from scratch, but the magnitude of productivity gains varies widely across systems and languages. |
Language (Re)modelling: Towards Embodied Language Understanding (2020.acl-main)
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| Challenge: | Despite the rapid progress in NLU, current systems lack the rich mental representations that people use for language understanding. |
| Approach: | They propose an approach to representation and learning based on the tenets of embodied cognitive linguistics (ECL) they propose a system architecture along with a roadmap towards realizing this vision. |
| Outcome: | The proposed approach will improve the performance of existing systems and provide a roadmap towards realizing this vision. |
Context-Aware Document Simplification (2023.findings-acl)
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| Challenge: | Recent work on document simplification has focused on sentence-level inputs but fails to preserve the discourse structure. |
| Approach: | They explore various systems that use document context within the simplification process . they investigate the performance and efficiency tradeoffs of system variants . |
| Outcome: | The proposed approach achieves state-of-the-art even when not relying on plan-guidance. |
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework (2026.acl-long)
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| Challenge: | Recent advances in large language models have demonstrated strong potential for understanding user intent . paper describes system architecture, agent roles, retrieval and scoring methods, knowledge graph schema, and evaluation interfaces . |
| Approach: | They propose a multi-agent research discovery and analysis system that integrates multiple agents to reduce the effort required to find, assess, organize, and understand academic literature. |
| Outcome: | The proposed system reduces the effort required to find, assess, organize, and understand academic literature. |