---
title: "*SEM 2021 — all accepted papers with summaries and citations"
description: "All 30 papers of *SEM 2021, the most cited first; those with our summary link to it. Among them: Inducing Language-Agnostic Multilingual…"
canonical: "https://research.elamur.ai/free/en/venues/starsem/2021/papers/"
---
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# *SEM 2021: all accepted papers

30 papers · the most cited first · [← *SEM 2021](https://md.research.elamur.ai/free/en/venues/starsem/2021/)

1. **[Inducing Language-Agnostic Multilingual Representations ↗](https://aclanthology.org/2021.starsem-1.22/)**Wei Zhao, Steffen Eger, Johannes Bjerva et al.*54 citations*
2. **[NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning ↗](https://aclanthology.org/2021.starsem-1.7/)**Zeming Chen, Qiyue Gao, Lawrence S. Moss*37 citations*
3. **[Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ↗](https://aclanthology.org/2021.starsem-1.1/)**Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni et al.*15 citations*
4. **[Realistic Evaluation Principles for Cross-document Coreference Resolution](https://md.research.elamur.ai/free/en/papers/cattan-2021-realistic-evaluation-principles-cross-document/)**Arie Cattan, Alon Eirew, Gabriel Stanovsky et al.*12 citations · our summary*
5. **[Semantic shift in social networks ↗](https://aclanthology.org/2021.starsem-1.3/)**Bill Noble, Asad Sayeed, Raquel Fernández et al.*11 citations*
6. **[Adversarial Training for Machine Reading Comprehension with Virtual Embeddings ↗](https://aclanthology.org/2021.starsem-1.30/)**Ziqing Yang, Yiming Cui, Chenglei Si et al.*7 citations*
7. **[Can Transformer Language Models Predict Psychometric Properties? ↗](https://aclanthology.org/2021.starsem-1.2/)**Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov et al.*7 citations*
8. **[Generating Hypothetical Events for Abductive Inference ↗](https://aclanthology.org/2021.starsem-1.6/)**Debjit Paul, Anette Frank*6 citations*
9. **[Multilingual Neural Semantic Parsing for Low-Resourced Languages ↗](https://aclanthology.org/2021.starsem-1.17/)**Menglin Xia, Emilio Monti*6 citations*
10. **[Spurious Correlations in Cross-Topic Argument Mining ↗](https://aclanthology.org/2021.starsem-1.25/)**Terne Sasha Thorn Jakobsen, Maria Barrett, Anders Søgaard*6 citations*
11. **[A Study on Using Semantic Word Associations to Predict the Success of a Novel ↗](https://aclanthology.org/2021.starsem-1.4/)**Syeda Jannatus Saba, Biddut Sarker Bijoy, Henry Gorelick et al.*5 citations*
12. **[One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ↗](https://aclanthology.org/2021.starsem-1.16/)**Marco Damonte, Emilio Monti*5 citations*
13. **[InFillmore: Frame-Guided Language Generation with Bidirectional Context ↗](https://aclanthology.org/2021.starsem-1.12/)**Jiefu Ou, Nathaniel Weir, Anton Belyy et al.*4 citations*
14. **[Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ↗](https://aclanthology.org/2021.starsem-1.26/)**Xiaotao Li, Shujuan You, Yawen Niu et al.*3 citations*
15. **[Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ↗](https://aclanthology.org/2021.starsem-1.23/)**Dominik Schlechtweg, Enrique Castaneda, Jonas Kuhn et al.*3 citations*
16. **[Neural Metaphor Detection with Visibility Embeddings ↗](https://aclanthology.org/2021.starsem-1.21/)**Gitit Kehat, James Pustejovsky*3 citations*
17. **[Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains ↗](https://aclanthology.org/2021.starsem-1.24/)**Anna Hätty, Julia Bettinger, Michael Dorna et al.*2 citations*
18. **[Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ↗](https://aclanthology.org/2021.starsem-1.20/)**Yuki Yamamoto, Yuji Matsumoto, Taro Watanabe*2 citations*
19. **[Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ↗](https://aclanthology.org/2021.starsem-1.8/)**Ohad Rozen, Shmuel Amar, Vered Shwartz et al.*2 citations*
20. **[BiQuAD: Towards QA based on deeper text understanding ↗](https://aclanthology.org/2021.starsem-1.10/)**Frank Grimm, Philipp Cimiano*1 citation*
21. **[Denoising Word Embeddings by Averaging in a Shared Space ↗](https://aclanthology.org/2021.starsem-1.28/)**Avi Caciularu, Ido Dagan, Jacob Goldberger*1 citation*
22. **[Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis](https://md.research.elamur.ai/free/en/papers/indurkhya-2021-evaluating-universal-dependency-parser-recovery/)**Sagar Indurkhya, Beracah Yankama, Robert C. Berwick*1 citation · our summary*
23. **[Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages ↗](https://aclanthology.org/2021.starsem-1.29/)**Ali Hakimi Parizi, Paul Cook*1 citation*
24. **[Incorporating EDS Graph for AMR Parsing ↗](https://aclanthology.org/2021.starsem-1.19/)**Ziyi Shou, Fangzhen Lin*1 citation*
25. **[Overcoming Poor Word Embeddings with Word Definitions ↗](https://aclanthology.org/2021.starsem-1.27/)**Christopher Malon*1 citation*
26. **[ParsFEVER: a Dataset for Farsi Fact Extraction and Verification ↗](https://aclanthology.org/2021.starsem-1.9/)**Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri et al.*1 citation*
27. **[Recovering Lexically and Semantically Reused Texts ↗](https://aclanthology.org/2021.starsem-1.5/)**Ansel MacLaughlin, Shaobin Xu, David A. Smith*1 citation*
28. **[Disentangling Online Chats with DAG-structured LSTMs ↗](https://aclanthology.org/2021.starsem-1.14/)**Duccio Pappadopulo, Lisa Bauer, Marco Farina et al.
29. **[Script Parsing with Hierarchical Sequence Modelling ↗](https://aclanthology.org/2021.starsem-1.18/)**Fangzhou Zhai, Iza Škrjanec, Alexander Koller
30. **[Toward Diverse Precondition Generation ↗](https://aclanthology.org/2021.starsem-1.15/)**Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
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