---
title: "Who cites A Corpus and Model Integrating Multiword…"
description: "The papers of the Elamur Research library that cite «A Corpus and Model Integrating Multiword Expressions and Supersenses», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/missing-2015-schneider-corpus-model-integrating-multiword-expressions/cited-by/"
---
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# Who cites «A Corpus and Model Integrating Multiword Expressions and Supersenses»

48 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/missing-2015-schneider-corpus-model-integrating-multiword-expressions/)

1. [Surprisal Dynamics for the Detection of Multi-Word Expressions in English](https://aclanthology.org/2025.findings-ijcnlp.72/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
2. [To Leave No Stone Unturned: Annotating Verbal Idioms in the Parallel Meaning Bank](https://aclanthology.org/2024.mwe-1.16/) *— 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024*
3. [Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space](https://aclanthology.org/2023.mwe-1.8/) *— 2023 · Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)*
4. [Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models](https://aclanthology.org/2023.mwe-1.1/) *— 2023 · Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)*
5. [Crowdsourcing Preposition Sense Disambiguation with High Precision via a Priming Task](https://aclanthology.org/2022.dash-1.3/) *— 2022 · Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances)*
6. [Identification des Expressions Polylexicales dans les Tweets (Identification of Multiword Expressions in Tweets)](https://aclanthology.org/2022.jeptalnrecital-taln.36/) *— 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
7. [Identification of Multiword Expressions in Tweets for Hate Speech Detection](https://aclanthology.org/2022.lrec-1.22/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
8. [MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi](https://aclanthology.org/2022.lrec-1.612/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
9. [Probe-Less Probing of BERT's Layer-Wise Linguistic Knowledge with Masked Word Prediction](https://aclanthology.org/2022.naacl-srw.25/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
10. [Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers](https://md.research.elamur.ai/free/en/papers/liu-2022-putting-context-snacs-5-way/) *— our card · 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
11. [AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models](https://aclanthology.org/2021.findings-emnlp.294/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
12. [BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology](https://aclanthology.org/2021.blackboxnlp-1.43/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
13. [Idiomatic Expression Identification using Semantic Compatibility](https://aclanthology.org/2021.tacl-1.92/) *— 2021*
14. [Lexical Semantic Recognition](https://aclanthology.org/2021.mwe-1.6/) *— 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)*
15. [Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets](https://aclanthology.org/2021.findings-emnlp.423/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
16. [Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification](https://aclanthology.org/2021.naacl-main.227/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments](https://aclanthology.org/2021.acl-long.257/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
18. [SNACS Annotation of Case Markers and Adpositions in Hindi](https://aclanthology.org/2021.scil-1.56/) *— 2021 · Proceedings of the Society for Computation in Linguistics 2021*
19. [A Corpus of Adpositional Supersenses for Mandarin Chinese](https://aclanthology.org/2020.lrec-1.733/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
20. [Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics](https://md.research.elamur.ai/free/en/papers/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
21. [Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches](https://md.research.elamur.ai/free/en/papers/acl-2020-shi-extracting-headless-mwes-dependency-parse/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
22. [Natural Language Processing Pipeline to Annotate Bulgarian Legislative Documents](https://aclanthology.org/2020.lrec-1.863/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
23. [PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English](https://aclanthology.org/2020.law-1.10/) *— 2020 · Proceedings of the 14th Linguistic Annotation Workshop*
24. [Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning](https://aclanthology.org/2020.coling-main.472/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
25. [The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT](https://aclanthology.org/2020.lrec-1.691/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
26. [Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses](https://aclanthology.org/K19-1017/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
27. [Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition](https://aclanthology.org/Q19-1027/) *— 2019*
28. [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems](https://arxiv.org/abs/1905.00537) *— 2019 · arXiv:1905.00537*
29. [Constructing an Annotated Corpus of Verbal MWEs for English](https://aclanthology.org/W18-4921/) *— 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)*
30. [Fixed Similes: Measuring aspects of the relation between MWE idiomatic semantics and syntactic flexibility](https://aclanthology.org/W18-4908/) *— 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)*
31. [Multi-Task Learning for Sequence Tagging: An Empirical Study](https://aclanthology.org/C18-1251/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
32. [SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags](https://aclanthology.org/P18-3010/) *— 2018 · Proceedings of ACL 2018, Student Research Workshop*
33. [Coarse Semantic Classification of Rare Nouns Using Cross-Lingual Data and Recurrent Neural Networks](https://aclanthology.org/W17-6811/) *— 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Long papers*
34. [Deep Learning Models For Multiword Expression Identification](https://aclanthology.org/S17-1006/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
35. [From Shakespeare to Twitter: What are Language Styles all about?](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/) *— our card · 2017 · Proceedings of the Workshop on Stylistic Variation*
36. [Identifying beneficial task relations for multi-task learning in deep neural networks](https://aclanthology.org/E17-2026/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
37. [Multi-Task Learning of Keyphrase Boundary Classification](https://aclanthology.org/P17-2054/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
38. [Rule-based Machine translation from English to Finnish](https://aclanthology.org/W17-4731/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
39. [A Corpus of Preposition Supersenses](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-schneider-corpus-preposition-supersenses/) *— our card · 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)*
40. [An empirically grounded expansion of the supersense inventory](https://aclanthology.org/2016.gwc-1.30/) *— 2016 · Proceedings of the 8th Global WordNet Conference (GWC)*
41. [Analyzing Framing through the Casts of Characters in the News](https://aclanthology.org/D16-1148/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
42. [ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings](https://aclanthology.org/S16-1144/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
43. [SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://aclanthology.org/S16-1084/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
44. [Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization](https://aclanthology.org/P16-1191/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [UTU at SemEval-2016 Task 10: Binary Classification for Expression Detection (BCED)](https://aclanthology.org/S16-1142/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
46. [WHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models](https://aclanthology.org/S16-1141/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
47. [A Hierarchy with, of, and for Preposition Supersenses](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-schneider-hierarchy-preposition-supersenses/) *— our card · 2015 · Proceedings of the 9th Linguistic Annotation Workshop*
48. [An Efficient Annotation for Phrasal Verbs using Dependency Information](https://aclanthology.org/Y15-2015/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters*