Possessors Change Over Time: A Case Study with Artworks (D18-1)

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Challenge: Existing methods to extract possession relations from Wikipedia articles can be used to extract possessors over time.
Approach: They propose to extract possession relations from Wikipedia articles and temporal information indicating when these relations are true.
Outcome: The proposed annotation scheme yields many possessors over time for a given artwork, and an LSTM ensemble can automate the task.

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WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts (2020.lrec-1)

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Challenge: a new corpus of articles is created for the task of temporally-oriented possession . the task is open-domain and can be used to track possession in other texts .
Approach: They propose a new corpus for the task of temporally-oriented possession . they annotate Wikipedia articles for 90 different well-known artifacts .
Outcome: The proposed task is based on annotated Wikipedia articles for 90 artifacts, including paintings, diamonds, and archaeological artifos.
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models (P19-1)

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Challenge: Recent studies show that document classifiers can become more stable over time when trained in ways that account for temporal variations.
Approach: They propose a method for embedding diachronic word embedds into document classification models . they propose 'time-driven neural classification model' that accounts for temporal variations .
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A Diachronic Corpus for Literary Style Analysis (L18-1)

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Challenge: Temporal style analysis is not widely taken into account, says aaron daelemans . he says it is important to consider the possibility of an author's style frequently changing over time . daelemens: synchronic style analysis requires accurate time-stamped data .
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Diachronic word embeddings and semantic shifts: a survey (C18-1)

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Challenge: Existing methods for tracing time-related semantic shifts with word embedding models lack the cohesion, common terminology and shared practices of more established areas of natural language processing.
Approach: They propose several axes along which these methods can be compared and propose a framework for comparison.
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts (2020.emnlp-tutorials)

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Challenge: EMNLP tutorials session in 2020 will feature cutting-edge and introductory topics . review committees evaluated tutorial proposals on clarity, preparedness, novelty, timeliness, likely audience, open access to the teaching materials and compatibility of preferred venues.
Approach: EMNLP tutorials session in 2020 will feature cutting-edge and introductory topics . review committees evaluated tutorial proposals on clarity, preparedness, novelty, timeliness and likely audience .
Outcome: EMNLP tutorials session in 2020 includes courses on introductory and cutting-edge topics . the review committee evaluated 43 tutorial submissions and criteria including clarity, preparedness, novelty, timeliness, likely audience, open access to the teaching materials and compatibility of preferred venues.
Short-Term Meaning Shift: A Distributional Exploration (N19-1)

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Challenge: a new study examines the phenomenon of short-term meaning shift in online communities . the authors use distributional representations to explore the phenomenon .
Approach: They propose to use distributional representations to explore short-term meaning shift in online communities.
Outcome: The proposed model has problems distinguishing meaning shift from referential phenomena, and measures contextual variability to remedy this.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts (2025.emnlp-tutorials)

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Challenge: EMNLP 2025 tutorials will cover seven cutting-edge topics . the process of soliciting, reviewing and selecting tutorials was a collaborative effort .
Approach: EMNLP 2025 will feature tutorials on seven cutting-edge topics . the process of soliciting, reviewing and selecting tutorials was a collaborative effort .
Outcome: EMNLP 2025 will feature tutorials on seven cutting-edge topics . the process of soliciting, reviewing and selecting tutorials was a collaborative effort .
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts (2024.emnlp-tutorials)

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Challenge: EMNLP 2024 will feature tutorials on six exciting topics . the process of selecting tutorials was a collaborative effort .
Approach: EMNLP 2024 will feature tutorials on six exciting topics . the process of calling for, submitting, reviewing tutorials was a collaborative effort .
Outcome: the tutorials will cover topics such as natural language explanations, offensive speech, human-centered evaluation, AI for science, agents, and enhancing capabilities of LLMs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts (2021.emnlp-tutorials)

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Challenge: EMNLP tutorials are lecture-based presentations that are presented at conferences around the world.
Approach: EMNLP 2021 will feature tutorials on a range of topics, including crowdsourcing and data collection . the final selection process was unified, with a total of 35 submissions .
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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts (2023.emnlp-tutorial)

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Challenge: EMNLP 2023 tutorials session is organized to give conference attendees a comprehensive introduction by expert researchers to a variety of topics of importance drawn from our rapidly growing and changing research field.
Approach: EMNLP 2023 is a conference to provide a comprehensive introduction by experts in the field . the call, submission, reviewing and selection of tutorials were coordinated jointly for multiple conferences .
Outcome: EMNLP 2023 is the first conference to host a tutorials session . the conference will feature a variety of topics of importance .

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