Challenge: a concept of move structure has been overlooked in genre analysis, but it is not widely used in natural language processing.
Approach: They propose to incorporate move structure into a neural architecture for automatic genre identification.
Outcome: The proposed approach can increase performance and reduce computational power.

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Genre Identification and the Compositional Effect of Genre in Literature (C18-1)

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Challenge: Literature is artistic and conveys complex themes over the course of very long narratives.
Approach: They propose a method which can work with large literary corpus of texts . they propose 'gutenberg' dataset to perform Genre Identification .
Outcome: The proposed methods improve results in a literature-based task with 200,000 words of literature . the Gutenberg dataset is used to model literary classifications with a high level of fidelity .
A (Psycho-)Linguistically Motivated Scheme for Annotating and Exploring Emotions in a Genre-Diverse Corpus (2022.lrec-1)

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Challenge: Using a linguistic perspective, emotion annotation is considered a difficult task because of the lack of consensus on emotional categories, the fuzziness of boundaries between them or the great variability of emotion expressions types.
Approach: They propose a scheme for emotion annotation and its manual application on a genre-diverse corpus of texts written in french.
Outcome: The proposed method clarifies the main concepts implied by the analysis of emotions as they are expressed in texts and performs a manual annotation campaign on a corpus of 1,594 texts (ca. 515K tokens) of different genres.
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 .
Annotation and Automatic Classification of Aspectual Categories (P19-1)

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Challenge: Annotated resource for aspectual classification of German verb tokens in context.
Approach: They present a resource for aspectual classification of German verb tokens in their clausal context.
Outcome: The proposed resource is compared with previous work on German verb tokens using aspectual features compatible with the plurality of aspectual classifications.
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 Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13) (D19-53)

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Challenge: TextGraphs is a workshop on graph-based methods for natural language processing . the workshop is being organized in conjunction with the 9th International Joint Conference on Natural Language Processing .
Approach: TextGraphs is the 13th edition of the Workshop on Graph-Based Methods for Natural Language Processing . the workshop promotes synergy between GT and natural language processing .
Outcome: the 2013 edition of TextGraphs is being held in conjunction with the 9th International Joint Conference on Natural Language Processing in Hong Kong.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (D18-2)

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Challenge: 77 submissions were received for the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions received were either invalid or withdrawn by the authors.
Approach: The volume contains papers from the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 77 submissions were either invalid or withdrawn by the authors.
Outcome: The system demonstrations session included papers from the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions were either invalid or withdrawn by the authors.
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 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2025.emnlp-demos)

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Challenge: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing are now available online.
Approach: EMNLP 2025 conference on empirical methods in natural language processing held in Suzhou, china, on November 4-9, 2025. 77 papers accepted for inclusion in proceedings, resulting in 38% acceptance rate.
Outcome: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing are published . the conference accepted 77 papers, with a 38% acceptance rate .
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.

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