| Challenge: | Existing annotations for possession relations can be used to predict possession existence, possession type and temporal anchors. |
| Approach: | They propose to use text annotations to mine possession relations from text . they assign temporal anchors indicating when possession holds between possessor and possessee . |
| Outcome: | The proposed task can predict possession existence, possession type and temporal anchors, and it can be automated. |
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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. |
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 . |
| Outcome: | The proposed model can be trained on six corpora and make it more robust over time. |
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. |
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction (2024.findings-emnlp)
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| Challenge: | Existing approaches to relation extraction use concatenating embeddings of head and tail entities . however, such representations capture the types of the entities involved, leading to false positives and confusion between relations involving entities of the same type. |
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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 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 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 . |
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 . |
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