---
title: "SemEval 2018 — accepted papers — Elamur Research"
description: "SemEval 2018 — accepted papers: 27 papers in the Elamur Research library (New Orleans, Louisiana), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2018/"
---
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# SemEval 2018 — accepted papers

SemEval 2018 is the 2018 edition of the International Workshop on Semantic Evaluation (SemEval), held in New Orleans, Louisiana, June 2018 (publisher: Association for Computational Linguistics). The ACL Anthology lists 194 papers of it; our library holds 27 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**194** papers in the proceedings](#all) · [**27** works in our library](https://md.research.elamur.ai/free/en/venues/semeval/2018/works/) · [**2,303** citations of these works](https://md.research.elamur.ai/free/en/venues/semeval/2018/works/)**New Orleans, Louisiana** where it was held**June 2018** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh et al.*744 citations · our summary*
2. **[SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/)**Cynthia Van Hee, Els Lefever, Véronique Hoste*292 citations · our summary*
3. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann et al.*147 citations · our summary*
4. **[SemEval 2018 Task 2: Multilingual Emoji Prediction](https://md.research.elamur.ai/free/en/papers/barbieri-2018-semeval-2018-task-2-multilingual/)**Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano et al.*141 citations · our summary*
5. **[NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning](https://aclanthology.org/S18-1037/)**Christos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou et al.*139 citations*
6. **[SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge](https://aclanthology.org/S18-1119/)**Simon Ostermann, Michael Roth, Ashutosh Modi et al.*114 citations*
7. **[Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension](https://aclanthology.org/S18-1120/)**Liang Wang, Meng Sun, Wei Zhao et al.*81 citations*
8. **[THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning](https://aclanthology.org/S18-1006/)**Chuhan Wu, Fangzhao Wu, Sixing Wu et al.*80 citations*
9. **[SemEval-2018 Task 9: Hypernym Discovery](https://aclanthology.org/S18-1115/)**Jose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa-Anke et al.*78 citations*
10. **[EMA at SemEval-2018 Task 1: Emotion Mining for Arabic](https://aclanthology.org/S18-1036/)**Gilbert Badaro, Obeida El Jundi, Alaa Khaddaj et al.*60 citations*

## All accepted papers (194)

The most cited first; 27 with our summary link to their page here, the others to the original.

1. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh et al.*744 citations · our summary*
2. **[SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/)**Cynthia Van Hee, Els Lefever, Véronique Hoste*292 citations · our summary*
3. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann et al.*147 citations · our summary*
4. **[SemEval 2018 Task 2: Multilingual Emoji Prediction](https://md.research.elamur.ai/free/en/papers/barbieri-2018-semeval-2018-task-2-multilingual/)**Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano et al.*141 citations · our summary*
5. **[NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning](https://aclanthology.org/S18-1037/)**Christos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou et al.*139 citations*
6. **[SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge](https://aclanthology.org/S18-1119/)**Simon Ostermann, Michael Roth, Ashutosh Modi et al.*114 citations*
7. **[Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension](https://aclanthology.org/S18-1120/)**Liang Wang, Meng Sun, Wei Zhao et al.*81 citations*
8. **[THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning](https://aclanthology.org/S18-1006/)**Chuhan Wu, Fangzhao Wu, Sixing Wu et al.*80 citations*
9. **[SemEval-2018 Task 9: Hypernym Discovery](https://aclanthology.org/S18-1115/)**Jose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa-Anke et al.*78 citations*
10. **[EMA at SemEval-2018 Task 1: Emotion Mining for Arabic](https://aclanthology.org/S18-1036/)**Gilbert Badaro, Obeida El Jundi, Alaa Khaddaj et al.*60 citations*
11. **[TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning](https://aclanthology.org/S18-1053/)**Malak Abdullah, Samira Shaikh*57 citations*
12. **[NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs](https://md.research.elamur.ai/free/en/papers/baziotis-2018-ntua-slp-semeval-2018-task-s18-1100/)**Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi et al.*54 citations · our summary*
13. **[SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets](https://aclanthology.org/S18-1002/)**Venkatesh Duppada, Royal Jain, Sushant Hiray*51 citations*
14. **[PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags](https://aclanthology.org/S18-1039/)**Ji Ho Park, Peng Xu, Pascale Fung*50 citations*
15. **[AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification](https://aclanthology.org/S18-1019/)**Yanghoon Kim, Hwanhee Lee, Kyomin Jung*49 citations*
16. **[CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery](https://aclanthology.org/S18-1116/)**Gabriel Bernier-Colborne, Caroline Barrière*46 citations*
17. **[TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture](https://aclanthology.org/S18-1043/)**Hardik Meisheri, Lipika Dey*40 citations*
18. **[Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction](https://aclanthology.org/S18-1004/)**Çağrı Çöltekin, Taraka Rama*40 citations*
19. **[CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons](https://aclanthology.org/S18-1038/)**Raj Kumar Gupta, Yinping Yang*36 citations*
20. **[Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification](https://aclanthology.org/S18-1024/)**Hala Mulki, Chedi Bechikh Ali, Hatem Haddad et al.*36 citations*
21. **[YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets](https://aclanthology.org/S18-1040/)**You Zhang, Jin Wang, Xuejie Zhang*36 citations*
22. **[ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction](https://aclanthology.org/S18-1112/)**Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang*33 citations*
23. **[EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets](https://aclanthology.org/S18-1029/)**Mohammed Jabreel, Antonio Moreno*33 citations*
24. **[WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/)**Omid Rohanian, Shiva Taslimipoor, Richard Evans et al.*32 citations · our summary*
25. **[Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification](https://aclanthology.org/S18-1033/)**Alon Rozental, Daniel Fleischer*31 citations*

[See all 194 papers in SemEval 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/semeval/2018/papers/)

## Papers with our summary in our library (27)

The most cited first (OpenAlex citations plus our library's).

1. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,094 citations*
2. **[SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 467 citations*
3. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.*2018 · 216 citations*
4. **[SemEval 2018 Task 2: Multilingual Emoji Prediction](https://md.research.elamur.ai/free/en/papers/barbieri-2018-semeval-2018-task-2-multilingual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, et al.*2018 · 204 citations*
5. **[NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs](https://md.research.elamur.ai/free/en/papers/baziotis-2018-ntua-slp-semeval-2018-task-s18-1100/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi, et al.*2018 · 74 citations*
6. **[WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.*2018 · 39 citations*
7. **[ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets](https://md.research.elamur.ai/free/en/papers/gonzalez-2018-elirf-upv-semeval-2018-tasks/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**José-Ángel González, Lluís-F. Hurtado, Ferran Pla*2018 · 29 citations*
8. **[NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter](https://md.research.elamur.ai/free/en/papers/vu-2018-nihrio-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, et al.*2018 · 29 citations*
9. **[IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media](https://md.research.elamur.ai/free/en/papers/ghosh-2018-ironymagnet-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aniruddha Ghosh, Tony Veale*2018 · 28 citations*
10. **[NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets](https://md.research.elamur.ai/free/en/papers/rangwani-2018-nlprl-iitbhu-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh*2018 · 28 citations*
11. **[Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word Graph](https://md.research.elamur.ai/free/en/papers/ahmed-2018-irony-detector-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Usman Ahmed, Lubna Zafar, Faiza Qayyum, et al.*2018 · 17 citations*
12. **[#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/pamungkas-2018-nondicevosulserio-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Endang Wahyu Pamungkas, Viviana Patti*2018 · 14 citations*
13. **[YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter](https://md.research.elamur.ai/free/en/papers/peng-2018-ynu-hpcc-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Bo Peng, Jin Wang, Xuejie Zhang*2018 · 14 citations*
14. **[ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets](https://md.research.elamur.ai/free/en/papers/farias-2018-valento-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso*2018 · 13 citations*
15. **[THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Chuhan Wu, Fangzhao Wu, Junxin Liu, et al.*2018 · 10 citations*
16. **[Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection](https://md.research.elamur.ai/free/en/papers/nikhil-2018-binarizer-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nishant Nikhil, Muktabh Mayank Srivastava*2018 · 7 citations*
17. **[ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/swanberg-2018-alanis-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kevin Swanberg, Madiha Mirza, Ted Pedersen, et al.*2018 · 4 citations*
18. **[HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection](https://md.research.elamur.ai/free/en/papers/cho-2018-hashcount-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Won Ik Cho, Woo Hyun Kang, Nam Soo Kim*2018 · 3 citations*
19. **[INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter](https://md.research.elamur.ai/free/en/papers/farias-2018-inaoe-upv-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.*2018 · 3 citations*
20. **[IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets](https://md.research.elamur.ai/free/en/papers/taylor-2018-iiidyt-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, et al.*2018 · 3 citations*
21. **[LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony Detection](https://md.research.elamur.ai/free/en/papers/ghanem-2018-ldr-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Bilal Ghanem, Francisco Rangel, Paolo Rosso*2018 · 2 citations*
22. **[Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection](https://md.research.elamur.ai/free/en/papers/san-2018-random-decision-syntax-trees-semeval/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aidan San*2018 · 2 citations*
23. **[Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English Tweets](https://md.research.elamur.ai/free/en/papers/dearden-2018-lancaster-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Edward Dearden, Alistair Baron*2018 · 1 citation*
24. **[KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection](https://md.research.elamur.ai/free/en/papers/durlich-2018-kluenicorn-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Luise Dürlich*2018 · 1 citation*
25. **[PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis](https://md.research.elamur.ai/free/en/papers/mikhalkova-2018-punfields-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, et al.*2018 · 1 citation*

[See all 27 works in SemEval 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/semeval/2018/works/)

## Top topics

Topics of its works in our library, with the number of works on each.

[Sentiment & emotion (24)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [English (23)](https://md.research.elamur.ai/free/en/topics/english/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/)

## Fields

[Computer Science (27)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (24)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (6)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Viviana Patti**3 works here · 231 citations](https://md.research.elamur.ai/free/en/authors/viviana-patti/) · [🧑‍🔬**Paolo Rosso**3 works here · 18 citations](https://md.research.elamur.ai/free/en/authors/paolo-rosso/) · [🧑‍🔬**Delia Irazú Hernández Farías**2 works here · 16 citations](https://md.research.elamur.ai/free/en/authors/delia-irazu-hernandez-farias/) · [🧑‍🔬**Felipe Bravo-Marquez**1 work here · 1,094 citations](https://md.research.elamur.ai/free/en/authors/felipe-bravo-marquez/) · [🧑‍🔬**Mohammad Salameh**1 work here · 1,094 citations](https://md.research.elamur.ai/free/en/authors/mohammad-salameh/) · [🧑‍🔬**Saif Mohammad**1 work here · 1,094 citations](https://md.research.elamur.ai/free/en/authors/saif-mohammad/) · [🧑‍🔬**Svetlana Kiritchenko**1 work here · 1,094 citations](https://md.research.elamur.ai/free/en/authors/svetlana-kiritchenko/) · [🧑‍🔬**Cynthia Van Hee**1 work here · 467 citations](https://md.research.elamur.ai/free/en/authors/cynthia-van-hee/) · [🧑‍🔬**Els Lefever**1 work here · 467 citations](https://md.research.elamur.ai/free/en/authors/els-lefever/) · [🧑‍🔬**Veronique Hoste**1 work here · 467 citations](https://md.research.elamur.ai/free/en/authors/veronique-hoste/) · [🧑‍🔬**Behrang QasemiZadeh**1 work here · 216 citations](https://md.research.elamur.ai/free/en/authors/behrang-qasemizadeh/) · [🧑‍🔬**Thierry Charnois**1 work here · 216 citations](https://md.research.elamur.ai/free/en/authors/thierry-charnois/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Universitat Politècnica de València** Valencia · Spain 4 works here](https://md.research.elamur.ai/free/en/universities/universitat-politecnica-de-valencia/) · [🎓**University of Turin** Turin · Italy 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-turin/) · [🔬**National Institute of Astrophysics, Optics and Electronics** Puebla City · Mexico 2 works here](https://md.research.elamur.ai/free/en/labs/national-institute-of-astrophysics-optics-and-electronics/) · [🎓**University College Dublin** Dublin · Ireland 1 work here](https://md.research.elamur.ai/free/en/universities/university-college-dublin/) · [🎓**University of Wolverhampton** Wolverhampton · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-wolverhampton/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**Seoul National University** Seoul · South Korea 1 work here](https://md.research.elamur.ai/free/en/universities/seoul-national-university/) · [🎓**Indian Institute of Technology Kharagpur** Kharagpur · India 1 work here](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-kharagpur/) · [🎓**Deakin University** Burwood · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/deakin-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**The University of Melbourne** Melbourne · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🎓**Universitat Pompeu Fabra** Barcelona · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-pompeu-fabra/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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