---
title: "Joint Conference on Lexical and Computational… — works"
description: "45 works of Joint Conference on Lexical and Computational Semantics (*SEM) in our library, the most cited first."
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---
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# Works of Joint Conference on Lexical and Computational Semantics (*SEM)

45 works · the most cited first · [← Joint Conference on Lexical and Computational…](https://md.research.elamur.ai/free/en/venues/starsem/)

1. [**SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity**Eneko Agirre, Daniel Cer, Mona Diab, et al.*2012 · 1,107 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2012-semeval-2012-task-6-pilot/)
2. [**NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets**Saif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu*2013 · 660 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2013-nrc-canada-building-state-art/)
3. [***SEM 2013 shared task: Semantic Textual Similarity**Eneko Agirre, Daniel Cer, Mona Diab, et al.*2013 · 658 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2013-sem-2013-shared-task-semantic/)
4. [**Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems**Svetlana Kiritchenko, Saif Mohammad*2018 · 574 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2018-examining-gender-race-bias-two/)
5. [**Emotion Intensities in Tweets**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/)
6. [**Metaphor as a Medium for Emotion: An Empirical Study**Saif Mohammad, Ekaterina Shutova, Peter Turney*2016 · 285 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-metaphor-as-medium-emotion-empirical/)
7. [**UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures**Daniel Bär, Chris Biemann, Iryna Gurevych, et al.*2012 · 274 citations*](https://md.research.elamur.ai/free/en/papers/bar-2012-ukp-computing-semantic-textual-similarity/)
8. [**SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge**Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.*2013 · 235 citations*](https://md.research.elamur.ai/free/en/papers/dzikovska-2013-semeval-2013-task-7-joint/)
9. [**SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning**Andrew Gordon, Zornitsa Kozareva, Melissa Roemmele*2012 · 211 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2012-semeval-2012-task-7-choice/)
10. [**SemEval-2012 Task 1: English Lexical Simplification**Lucia Specia, Sujay Kumar Jauhar, Rada Mihalcea*2012 · 210 citations*](https://md.research.elamur.ai/free/en/papers/specia-2012-semeval-2012-task-1-english/)
11. [**SemEval-2013 Task 2: Sentiment Analysis in Twitter**Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.*2013 · 200 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2013-semeval-2013-task-2-sentiment/)
12. [**Probing What Different NLP Tasks Teach Machines about Function Word Comprehension**Najoung Kim, Roma Patel, Adam Poliak, et al.*2019 · 161 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/)
13. [**Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization**Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup*2018 · 87 citations*](https://md.research.elamur.ai/free/en/papers/dean-2018-resolving-event-coreference-supervised-representation/)
14. [**Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking**Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, et al.*2020 · 79 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-find-or-classify-dual-strategy/)
15. [**Identifying hypernyms in distributional semantic spaces**Alessandro Lenci, Giulia Benotto*2012 · 65 citations*](https://md.research.elamur.ai/free/en/papers/lenci-2012-identifying-hypernyms-distributional-semantic-spaces/)
16. [**PropBank Comes of Age—Larger, Smarter, and more Diverse**Sameer Pradhan, Julia Bonn, Skatje Myers, et al.*2022 · 41 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2022-propbank-comes-age-larger-smarter/)
17. [**Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions**Huachuan Qiu, Zhenzhong Lan*2026 · 31 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2026-interactive-agents-simulating-counselor-client/)
18. [**Pairwise Representation Learning for Event Coreference**Xiaodong Yu, Wenpeng Yin, Dan Roth*2022 · 31 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-pairwise-representation-learning-event-coreference/)
19. [**Realistic Evaluation Principles for Cross-document Coreference Resolution**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/cattan-2021-realistic-evaluation-principles-cross-document/)
20. [**The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective**Sabine Schulte im Walde, Anna Hätty, Stefan Bott*2016 · 28 citations*](https://md.research.elamur.ai/free/en/papers/walde-2016-role-modifier-head-properties-predicting/)
21. [**Improving Generalization in Coreference Resolution via Adversarial Training**Sanjay Subramanian, Dan Roth*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/subramanian-2019-improving-generalization-coreference-resolution-adversarial/)
22. [**When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)**Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus, et al.*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2023-when-truth-matters-addressing-pragmatic/)
23. [**How Are Idioms Processed Inside Transformer Language Models?**Ye Tian, Isobel James, Hye Son*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/tian-2023-how-are-idioms-processed-inside/)
24. [**The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks**Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2026-lscd-benchmark-testbed-diachronic-word/)
25. [**Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries**Valeria Pastorino, Nafise Sadat Moosavi*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/)
26. [**Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis**Sagar Indurkhya, Beracah Yankama, Robert C. Berwick*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/indurkhya-2021-evaluating-universal-dependency-parser-recovery/)
27. [**A framework for annotating and modelling intentions behind metaphor use**Gianluca Michelli, Xiaoyu Tong, Ekaterina Shutova*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/michelli-2026-framework-annotating-modelling-intentions-behind/)
28. [**Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity Estimation**Kanade Nonomura, Keita Fukushima, Risa Kondo, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nonomura-2026-mitigating-language-bias-multilingual-sentence/)
29. [**SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Models**Dong Liu, Yanxuan Yu*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-semtoken-semantic-aware-tokenization-efficient/)
30. [**Toxic Subword Pruning for Dialogue Response Generation on Large Language Models**Hongyuan Adam Lu, Wai Lam*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)
31. [**HistoryBankQA: Multilingual Temporal Question Answering on Historical Events**Biswadip Mandal, Anant Khandelwal, Manish Gupta*2026*](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/)
32. [**Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies**Rémy Marro*2026*](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/)
33. [**Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)
34. [**The Frequency Confound in Language-Model Surprisal and Metaphor Novelty**Omar Momen, Sina Zarrieß*2026*](https://md.research.elamur.ai/free/en/papers/momen-2026-frequency-confound-language-model-surprisal/)
35. [**Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models**Katrina Olsen, Sebastian Padó*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/)
36. [**Annotating Indian Regional Biases using Large Language Models: Evaluation and Analysis**Debasmita Panda, Akash Anil, Neelesh Kumar Shukla*2026*](https://md.research.elamur.ai/free/en/papers/panda-2026-annotating-indian-regional-biases-large/)
37. [**Under the Surface: Probing Tamil Paraphrase Intelligence**Viswadarshan R R, Dr. J. Felicia Lilian, Mahalakshmi S*2026*](https://md.research.elamur.ai/free/en/papers/r-2026-under-surface-probing-tamil-paraphrase/)
38. [**One Word Is Not Enough: Simple Prompts Improve Word Embeddings**Rajeev Ranjan*2026*](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)
39. [**ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/)
40. [**Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19**Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salari-2026-uncovering-ideological-bias-rag-lexical/)
41. [**Entropy-aware Masking for Masked Language Modeling**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/)
42. [**Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMs**Alice Suozzi, Luca Capone, Gianluca Lebani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/suozzi-2026-can-remedy-find-researcher-exploring/)
43. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)
44. [**Syntactic Priming in Few-Shot Learning: How Demonstration Structure Shapes LLM Performance**Prasanth Yadla*2026*](https://md.research.elamur.ai/free/en/papers/yadla-2026-syntactic-priming-few-shot-learning/)
45. [**Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning**Laura Zeidler, Michael Roth*2026*](https://md.research.elamur.ai/free/en/papers/zeidler-2026-can-you-be-more-explicit/)
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