Our colleague @xiwang-sch.bsky.social was on leave, and we missed his papers in our original list! Now, hereβs the full, updated set of SheffieldNLPβs accepted papers at NAACL, ICLR, ECIR, and WWW! πβ¨
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Lab co-chairs:
Javier Parapar, Univ. A CoruΓ±a, Spain
Anxo PΓ©rez Univ. A CoruΓ±a, Spain
Xi Wang @xiwang-sch.bsky.social, Univ. Sheffield, United Kingdom
Fabio Crestani, Univ. Lugano, Switzerland
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How to Participate:
1. Register: Sign up through the [CLEF 2025 Labs Registration site](lnkd.in/eHMMvQEB)
2. Submit Agreements: Complete the user agreement form to access datasets.
3. Join the Community: Join our Google Groups lnkd.in/eR2bJdXv! π§΅
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- Submission Deadlines:
T1: 1st Apri 2025
T2 & T3: 12th April 2025
- CLEF 2025 Conference: 9-12 Sep 2025, Madrid, Spain.
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Key Dates:
- Dataset Release:
T1: 1st Dec. 2024 for training collections and test dataset
T2: 1st Dec. 2024 for training and 5th Feb. 2025, test stage begins (server opens)
T3: 5th Feb. 2025, test stage begins, (server opens for interacting with the LLM) π§΅
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Pilot Task: Conversational Depression Detection via LLMs (New in 2025, Interactive Task)
Engage with LLM personas to identify depressive symptoms based on conversational exchanges. This is a pilot task. Participants will need to book a slot to interact with the LLM personas π§΅
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Task 2: Contextualized Early Detection of Depression (New in 2025)
Analyze full conversational contexts to detect early signs of depression. Evaluate sequential user interactions for a holistic view of conversational dynamics. π§΅
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Task 1: Search for Symptoms of Depression
Rank sentences from user writings by relevance to the 21 symptoms of the BDI-II questionnaire. Use a TREC-formatted dataset with human-assessed relevance judgments. Generate rankings for symptoms & create a valuable annotated corpus. π§΅
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Task 1: Search for Symptoms of Depression
Rank sentences from user writings by relevance to the 21 symptoms of the BDI-II questionnaire. Use a TREC-formatted dataset with human-assessed relevance judgments. Generate rankings for symptoms & create a valuable annotated corpus. π§΅
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This project is co-supervised by me from the Sheffield NLP group, Dr Ning Ma a Joint Lecturer in Medical Computing and the Academic Directorate of Medical Imaging and Medical Physics at the Sheffield Teaching Hospitals NHS Foundation Trust. π§΅
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Thatβs for sure. Addedπ
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The author response period of @ReviewAcl is way too short (this time during a weekend). We defo can do better by extending it for more meaningful discussions.
This perhaps would mean a smaller number (e.g. 3 or 4) of longer ARR cycles but itβs still worth it #nlproc #naacl2025
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Principal Research Manager & Project lead @ Microsoft Research AI for Science; AI for materials; Previously @ MIT, DeepMind, Google X. Views my own.
research scientist @ naver labs europe
Creating a better future through AI-driven research, innovation and education at the University of Sheffield.
www.sheffield.ac.uk/machine-intelligence
Senior Lecturer (~Associate Professor) @sheffieldnlp.bsky.social working on #NLProc | Brazilian Jiu-Jitsu πͺπͺπͺβ¬οΈ | she/her
Lecturer at @UofGlasgow Affiliated Lecturer at @CambridgeLTL Working on IR, NLP, KGs, AI Agents, http://AI4BioMed.org and https://github.com/EvoAgentX/EvoAgentX
Assistant Professor of CS | LLM | RAG | Neural IR
Lecturer (Assistant Professor) at University of Liverpool
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PhD student at the University of Glasgow.
UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Lab at UCL led by @rockt.ai, @egrefen.bsky.social,
@jparkerholder.bsky.social, and Roberta Raileanu.
ucldark.com
Lecturer in Computer Vision at University of Sheffield | Robust&Trustworthy AI for healthcare
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Computer Science -- Computation and Language
source: export.arxiv.org/rss/cs.CL
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Building generally intelligent agents - ML, RL, Robotics
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