[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/das-2018-constructing-lexicon-english-discourse-connectives/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Constructing a Lexicon of English Discourse Connectives»

# Who cites «Constructing a Lexicon of English Discourse Connectives»

29 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/das-2018-constructing-lexicon-english-discourse-connectives/)

1. [DReUD: Discourse Relations in Universal Dependencies](https://aclanthology.org/2026.lrec-1.528/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence Compatibility](https://aclanthology.org/2026.lrec-1.381/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Towards Corpus-Based Population and Visualization of ISO 24617-8 Ontology (Short Paper)](https://aclanthology.org/2026.isa-1.6/) *— 2026 · Proceedings of the 22nd Joint ACL - ISO Workshop on Interoperable Semantic Annotation and Representation (ISA-22) @ LREC 2026*
4. [GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains](https://md.mova.elamur.ai/free/en/docs/papers/liu-2024-gdtb-genre-diverse-data-english/) *— our card · 2024*
5. [Projecting Annotations for Discourse Relations: Connective Identification for Low-Resource Languages](https://aclanthology.org/2024.codi-1.4/) *— 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)*
6. [Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse](https://aclanthology.org/2023.argmining-1.2/) *— 2023 · Proceedings of the 10th Workshop on Argument Mining*
7. [Can AMR Assist Legal and Logical Reasoning?](https://aclanthology.org/2022.findings-emnlp.112/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
8. [Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots](https://aclanthology.org/2022.findings-emnlp.131/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
9. [Inducing Discourse Marker Inventories from Lexical Knowledge Graphs](https://aclanthology.org/2022.lrec-1.257/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
10. [The effect of domain knowledge and implicitation on discourse relation inferences](https://aclanthology.org/2022.dnd-13.2/) *— 2022*
11. [Towards Identifying Alternative-Lexicalization Signals of Discourse Relations](https://aclanthology.org/2022.coling-1.70/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
12. [Comparison of methods for explicit discourse connective identification across various domains](https://aclanthology.org/2021.codi-main.9/) *— 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
13. [Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification](https://aclanthology.org/2021.emnlp-main.40/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
14. [Semi-automatic discourse annotation in a low-resource language: Developing a connective lexicon for Nigerian Pidgin](https://aclanthology.org/2021.codi-main.8/) *— 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
15. [DiMLex-Bangla: A Lexicon of Bangla Discourse Connectives](https://aclanthology.org/2020.lrec-1.138/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
16. [DiscSense: Automated Semantic Analysis of Discourse Markers](https://aclanthology.org/2020.lrec-1.125/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
17. [Exploiting a lexical resource for discourse connective disambiguation in German](https://aclanthology.org/2020.coling-main.505/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
18. [GeCzLex: Lexicon of Czech and German Anaphoric Connectives](https://aclanthology.org/2020.lrec-1.137/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
19. [doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset](https://aclanthology.org/2020.emnlp-main.652/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
20. [TCL - a Lexicon of Turkish Discourse Connectives](https://aclanthology.org/W19-3308/) *— 2019 · Proceedings of the First International Workshop on Designing Meaning Representations*
21. [Discourse and Lexicons: Lexemes, MWEs, Grammatical Constructions and Compositional Word Combinations to Signal Discourse Relations](https://aclanthology.org/W18-4906/) *— 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)*
22. [Primary and secondary discourse connectives: definitions and lexicons](https://aclanthology.org/2018.dnd-9.6/) *— 2018*
23. chistova-2019-data-driven-system-rhetorical-parsing
24. kurfali-2020-ted-mdb-lexicons-tr-enconnlex
25. mirovsky-2020-czedlex-0-6-its-representation
26. rauh-2023-multilingual-connective-database-aligning-german
27. s-2022-automatic-identification-explicit-connectives-malayalam
28. schwab-2020-lexical-contextual-cue-effects-discourse
29. sow-2025-etat-de-l-art-sur
- [← previous Who cites «"I'll be there for you": The One with Understanding Indirect Answers»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/damgaard-2021-i-ll-be-there-you/)
- [next → Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dasigi-2019-quoref-reading-comprehension-dataset-questions/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
