Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «A Corpus and Model Integrating Multiword Expressions and Supersenses»

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

  1. To Leave No Stone Unturned: Annotating Verbal Idioms in the Parallel Meaning Bank — 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024
  2. Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space — 2023 · Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)
  3. Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models — 2023 · Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)
  4. Identification of Multiword Expressions in Tweets for Hate Speech Detection — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  5. MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  6. Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers — our card · 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
  7. AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  8. BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  9. Idiomatic Expression Identification using Semantic Compatibility — 2021
  10. Lexical Semantic Recognition — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
  11. Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  12. Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments — 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)
  13. SNACS Annotation of Case Markers and Adpositions in Hindi — 2021 · Proceedings of the Society for Computation in Linguistics 2021
  14. A Corpus of Adpositional Supersenses for Mandarin Chinese — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  15. Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  16. Natural Language Processing Pipeline to Annotate Bulgarian Legislative Documents — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  17. PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English — 2020 · Proceedings of the 14th Linguistic Annotation Workshop
  18. Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  19. Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  20. Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition — 2019
  21. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems — 2019 · arXiv:1905.00537
  22. Constructing an Annotated Corpus of Verbal MWEs for English — 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
  23. Multi-Task Learning for Sequence Tagging: An Empirical Study — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  24. SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags — 2018 · Proceedings of ACL 2018, Student Research Workshop
  25. Coarse Semantic Classification of Rare Nouns Using Cross-Lingual Data and Recurrent Neural Networks — 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Long papers
  26. Deep Learning Models For Multiword Expression Identification — 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
  27. From Shakespeare to Twitter: What are Language Styles all about? — our card · 2017 · Proceedings of the Workshop on Stylistic Variation
  28. Identifying beneficial task relations for multi-task learning in deep neural networks — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  29. Multi-Task Learning of Keyphrase Boundary Classification — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  30. Rule-based Machine translation from English to Finnish — 2017 · Proceedings of the Second Conference on Machine Translation
  31. A Corpus of Preposition Supersenses — our card · 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)
  32. An empirically grounded expansion of the supersense inventory — 2016 · Proceedings of the 8th Global WordNet Conference (GWC)
  33. Analyzing Framing through the Casts of Characters in the News — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  34. ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
  35. SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM) — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
  36. Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. A Hierarchy with, of, and for Preposition Supersenses — our card · 2015 · Proceedings of the 9th Linguistic Annotation Workshop
  38. alves-2025-surprisal-dynamics-detection-multi-word
  39. aoyama-2022-probe-less-probing-bert-s
  40. ballier-2020-learnability-annotated-input-nmt-replicating
  41. bjorne-2016-utu-semeval-2016-task-10
  42. komai-2015-efficient-annotation-phrasal-verbs-dependency
  43. kranzlein-2021-making-heads-tails-models-marginal
  44. markantonatou-2018-fixed-similes-measuring-aspects-relation
  45. shi-2020-extracting-headless-mwes-dependency-parse — our card
  46. tang-2016-whunlp-semeval-2016-task-dimsum
  47. wein-2022-crowdsourcing-preposition-sense-disambiguation-high
  48. zampieri-2022-identification-des-expressions-polylexicales-dans

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2015-schneider-corpus-model-integrating-multiword-expressions/