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# Works of Language Resources and Evaluation Conference (LREC)

811 works · page 7 of 9 · the most cited first · [← Language Resources and Evaluation Conference…](https://md.research.elamur.ai/free/en/venues/lrec/)

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601. [**Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/)
602. [**S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in Literature**Abigail Berthe-Pardo, Gaspard Michel, Elena V. Epure, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pardo-2026-s-vocal-dataset-evaluation-framework/)
603. [**Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches**Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/)
604. [**KOCOH: Korean Context-Dependent Hate Speech Dataset**Eunah Park, Sanghoun Song*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-kocoh-korean-context-dependent-hate/)
605. [**HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection**Luke S. Patterson, Li Wang, Adam Faulkner*2026*](https://md.research.elamur.ai/free/en/papers/patterson-2026-hybridcodeauthorship-benchmark-dataset-line-level/)
606. [**Integrating Services, Platforms and Resources into a National Infrastructure Cluster for FAIR Language and Cultural Data**Giulia Pedonese, Daniele Melaccio, Michele Mallia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pedonese-2026-integrating-services-platforms-resources-into/)
607. [**Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA**Renhao Pei, Siyao Peng, Verena Blaschke, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pei-2026-information-asymmetry-across-language-varieties/)
608. [**PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation**Julio Perez, Fabio Barth, Georg Rehm*2026*](https://md.research.elamur.ai/free/en/papers/perez-2026-polyglotql-pipeline-multilingual-text-sparql/)
609. [**Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection**Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phelps-2026-stands-reason-investigating-effect-reasoning/)
610. [**Semantic Information: A Difference That Makes a Difference**J. Nathanael Philipp, Max Kölbl, Michael Richter*2026*](https://md.research.elamur.ai/free/en/papers/philipp-2026-semantic-information-difference-that-makes/)
611. [**Dynamic Model Switching to Mitigate Outdated Knowledge in Large Language Models**Ramakrishna Pinninti, Sabyasachi Kamila, Ayan Mazumder, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pinninti-2026-dynamic-model-switching-mitigate-outdated/)
612. [**RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/)
613. [**A Corpus of Persuasion Techniques in Slavic Languages**Jakub Piskorski, Dimitar Iliyanov Dimitrov, Marina Ernst, et al.*2026*](https://md.research.elamur.ai/free/en/papers/piskorski-2026-corpus-persuasion-techniques-slavic-languages/)
614. [**The Chulalongkorn Corpus of Spoken Thai (CCOST)**Pittayawat Pittayaporn, Cathryn Yang, Sujinat Jitwiriyanont, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pittayaporn-2026-chulalongkorn-corpus-spoken-thai-ccost/)
615. [**Extracting Medical Image-Related Entities from Spanish Electronic Health Records Using NER Methods**Alexander Platas, Marcos Merino, Elena Zotova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/platas-2026-extracting-medical-image-related-entities/)
616. [**Detecting Risky Behavior Related to Alcohol and Drug Use within Adolescents' Private Messenger Conversations**Jaromír Plhák, Michaela Lebedíková, Ondrej Sotolar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/plhak-2026-detecting-risky-behavior-related-alcohol/)
617. [**A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA Tasks**Christian Poelitz, Nick McKenna*2026*](https://md.research.elamur.ai/free/en/papers/poelitz-2026-teacher-student-approach-creating-verified/)
618. [**Judging Instruction Responses in a Low-Resource Language: A Case Study on Basque**David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ponce-2026-judging-instruction-responses-low-resource/)
619. [**The Added Value of Metadata and Annotations: Evidence from Two Large-Scale, Naturalistic Corpus Studies**Anisia Popescu, Johanna Cronenberg, Ioana Vasilescu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popescu-2026-added-value-metadata-annotations-evidence/)
620. [**DIDECO: An Annotated Dataset for Intent Detection in Digital Communications**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/)
621. [**Same-Language Subtitles for Low-resource Languages: A Case of Bundelkhandi**Anirudh Pradhan, Ayushi Pandey, Divyansh Kushwaha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pradhan-2026-same-language-subtitles-low-resource/)
622. [**Slovene Morphological and Word Formation Segmentation: A Novel Dataset and Evaluation**Marko Pranjić, Boris Kern, Ines Voršič, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pranjic-2026-slovene-morphological-word-formation-segmentation/)
623. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)
624. [**Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework**Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/proietti-2026-mechanistic-interpretability-meets-cognitive-linguistics/)
625. [**HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection**Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin*2026*](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/)
626. [**When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/)
627. [**Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/)
628. [**Assessing the Persuasive Effect of AI-Generated Image Support of Arguments**Mackwyn Quadras, Manfred Stede, Henning Wachsmuth*2026*](https://md.research.elamur.ai/free/en/papers/quadras-2026-assessing-persuasive-effect-ai-generated/)
629. [**“Decode the Law”: Towards Legal Text Simplification with Large Language Models**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/)
630. [**Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?**Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rajput-2026-evaluation-drift-llm-personality-induction/)
631. [**Leveraging Semi-Supervised Learning for Multimodal Hate Speech Data Annotation and Detection**Rathi Adarshi Rammohan, Zhao Ren, Dominik Puchała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rammohan-2026-leveraging-semi-supervised-learning-multimodal/)
632. [**Nepali Lemmatization with Multilingual Transformers: Intrinsic and Extrinsic Evaluation in a Low-Resource Setting**Sunil Regmi, Sundeep Dawadi, Bal Krishna Bal*2026*](https://md.research.elamur.ai/free/en/papers/regmi-2026-nepali-lemmatization-multilingual-transformers-intrinsic/)
633. [**Detecting Hallucinations in Authentic LLM–Human Interactions**Yujie Ren, Niklas Gruhlke, Anne Lauscher*2026*](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/)
634. [**ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation**Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti*2026*](https://md.research.elamur.ai/free/en/papers/rescigno-2026-conga-guidelines-contextual-gender-annotation/)
635. [**PARL: Prompt-based Agents for Reinforcement Learning**Yarik Menchaca Resendiz, Roman Klinger*2026*](https://md.research.elamur.ai/free/en/papers/resendiz-2026-parl-prompt-based-agents-reinforcement/)
636. [**Explainable AI for Ethical Counter Speech Generation in Hate Speech Mitigation**Ashiful Islam Ridoy, Mohammed Faisal, Yogesh Kumar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ridoy-2026-explainable-ai-ethical-counter-speech/)
637. [**DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/)
638. [**Entity-Level Sentiment Analysis with Sentence Relevance Detection**Egil Rønningstad, Roman Klinger, Lilja Øvrelid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ronningstad-2026-entity-level-sentiment-analysis-sentence/)
639. [**A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling Question**Rafael Rosales, Santiago Miret*2026*](https://md.research.elamur.ai/free/en/papers/rosales-2026-binary-problem-binary-qa-diverse/)
640. [**Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset**Nick Rossenbach, Robin Schmitt, Tina Raissi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rossenbach-2026-supplementary-resources-analysis-automatic-speech/)
641. [**The Construction of a Mixe Variant Parallel Corpus**Ivan Vladimir Meza Ruiz, Delfino Zacarias Marquez, Martha Elba Ramírez Andrés, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ruiz-2026-construction-mixe-variant-parallel-corpus/)
642. [**Listening for Ideology: Automatic Analysis of Character Speech in Historical Nazi Propaganda Films**Nicolas Ruth, Manuel Burghardt, Andreas Niekler*2026*](https://md.research.elamur.ai/free/en/papers/ruth-2026-listening-ideology-automatic-analysis-character/)
643. [**When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms**Adib Sakhawat, Shamim Ara Parveen, Md Ruhul Amin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sakhawat-2026-when-words-don-t-mean/)
644. [**Insights from Romanized Manipuri Social Media Text: A Transliteration Corpus and Variation Analysis**Maisang Kamei Salice, Sanasam Ranbir Singh, Priyankoo Sarmah*2026*](https://md.research.elamur.ai/free/en/papers/salice-2026-insights-romanized-manipuri-social-media/)
645. [**University Speaking for Everyone: Assessing Changes in Italian Higher Education Statutes toward Gender-Inclusive Language**Sebastiano Vecellio Salto, Camilla Casula, Alessio Palmero Aprosio, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salto-2026-university-speaking-everyone-assessing-changes/)
646. [**Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/)
647. [**ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian**Cristian Santini, Sebastian Barzaghi, Paolo Sernani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/santini-2026-eneide-high-quality-silver-standard/)
648. [**EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs**Ali Satvaty, Suzan Verberne, Fatih Turkmen*2026*](https://md.research.elamur.ai/free/en/papers/satvaty-2026-el-mia-quantifying-membership-inference/)
649. [**GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/)
650. [**Investigating Reasoning with Hypotheses: The RIP2 Corpus**Ella Schad, Clara Seyfried, Chris Reed*2026*](https://md.research.elamur.ai/free/en/papers/schad-2026-investigating-reasoning-hypotheses-rip2-corpus/)
651. [**GENIUS Keylog Corpus - a German High School Student Corpus with Keystroke Logging Data**Nils-Jonathan Schaller, Thorben Jansen, Lars Höft, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schaller-2026-genius-keylog-corpus-german-high/)
652. [**R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models**Julian Schelb, Orr Borin, David Garcia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/)
653. [**FormosanMT: A Multilingual Parallel Corpus of the Formosan Language Family**Hunter Scheppat, Joshua K. Hartshorne, Sema Koc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scheppat-2026-formosanmt-multilingual-parallel-corpus-formosan/)
654. [**GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/)
655. [**HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/)
656. [**DAMETA: An LLM Benchmark for Danish Metaphor Interpretation with Systematically Varied Distractors**Nina Skovgaard Schneidermann, Sanni Nimb, Nathalie Carmen Hau Norman, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schneidermann-2026-dameta-llm-benchmark-danish-metaphor/)
657. [**CorSpell: Introducing a Semiautomatic Tool for Spelling Normalization in Brazilian Portuguese**Juliana Schoffen, Dennis Giovani Balreira, Elisa Marchioro Stumpf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schoffen-2026-corspell-introducing-semiautomatic-tool-spelling/)
658. [**Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data**Christian Schuler, Raman Ahmad, Ānrán Wáng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schuler-2026-dialectal-filtering-synthesizing-kurdish-corpora/)
659. [**A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus**Michael Scott, Siyu Liang, Alicia Wassink, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scott-2026-sociophonetic-analysis-racial-bias-commercial/)
660. [**A Scalable Pipeline for Novelty Detection in Skill Extraction Using Large Language Models**Gian Seifert, Simon Clematide*2026*](https://md.research.elamur.ai/free/en/papers/seifert-2026-scalable-pipeline-novelty-detection-skill/)
661. [**S-GRADES – Studying Generalization of Student Response Assessments in Diverse Evaluative Settings**Tasfia Seuti, Sagnik Ray Choudhury*2026*](https://md.research.elamur.ai/free/en/papers/seuti-2026-s-grades-studying-generalization-student/)
662. [**Decomposing Sign Language Movements: A Multi-Band Visualization Method for Articulatory Analysis**Antonio F. G. Sevilla, José María Lahoz-Bengoechea*2026*](https://md.research.elamur.ai/free/en/papers/sevilla-2026-decomposing-sign-language-movements-multi/)
663. [**A Benchmark Dataset and Comparative Evaluation of Phonemized and Romanized Urdu for Text-to-Speech**M Kaab Bin Shahid, Muhammed Izharuddin*2026*](https://md.research.elamur.ai/free/en/papers/shahid-2026-benchmark-dataset-comparative-evaluation-phonemized/)
664. [**Scripting History: A Diachronic Urdu Text and Image Corpus from the 18Th to 19Th Centuries**Sana Shams, Sahar Rauf, Asad Mustafa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shams-2026-scripting-history-diachronic-urdu-text/)
665. [**The Sensorimotor Norms for the Chinese Classifiers**Yimei Shao, Yu-Yin Hsu, Chu-Ren Huang*2026*](https://md.research.elamur.ai/free/en/papers/shao-2026-sensorimotor-norms-chinese-classifiers/)
666. [**Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages**Swati Sharma, Divya V. Sharma, Anubha Gupta*2026*](https://md.research.elamur.ai/free/en/papers/sharma-2026-task-lens-cross-task-utility/)
667. [**STAR-IL: A Dataset for Style-Aware Machine Translation of Product Reviews in Indian Languages**Ketaki Shetye, Dipti Misra Sharma, Parameswari Krishnamurthy*2026*](https://md.research.elamur.ai/free/en/papers/shetye-2026-star-il-dataset-style-aware/)
668. [**J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in Japanese**Seiji Shimizu, Tomohiro Nishiyama, HISADA Shohei, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shimizu-2026-j-clinicalbench-benchmark-evaluating-large/)
669. [**Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models**Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-open-access-dataset-acceptability-ratings/)
670. [**Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+**Mason Shipton, York Hay Ng, Aditya Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shipton-2026-simple-additions-substantial-gains-expanding/)
671. [**JFC-Recipe: A Dataset for Nutrient Estimation from Japanese User-Generated Cooking Recipes**Keisuke Shirai, Yoko Yamakata, Hirotaka Kameko, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shirai-2026-jfc-recipe-dataset-nutrient-estimation/)
672. [**MekongPhon: A Large-Scale Parallel IPA Corpus for Lao and Khmer**Ammon Shurtz, Christian Richardson, Stephen D. Richardson*2026*](https://md.research.elamur.ai/free/en/papers/shurtz-2026-mekongphon-large-scale-parallel-ipa/)
673. [**Voices across Decades: A Multimodal Diachronic Corpus of German Bundestag Debates (GerParlDia-MM)**Ingo Siegert*2026*](https://md.research.elamur.ai/free/en/papers/siegert-2026-voices-across-decades-multimodal-diachronic/)
674. [**Are Language Models Borrowing-Blind? A Multilingual Evaluation of Loanword Identification across 10 Languages**Merilin Sousa Silva, Sina Ahmadi*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-are-language-models-borrowing-blind/)
675. [**Benchmarking Portuguese Open Information Extraction**Gabriel Silva, Mário Rodrigues, António Teixeira, et al.*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-benchmarking-portuguese-open-information-extraction/)
676. [**Scientific Article Section Classification (SASC) Dataset**Nicolau Duran-Silva, Julian Moreno-Schneider, César Parra-Rojas, et al.*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-scientific-article-section-classification-sasc/)
677. [**Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus**Martina Simonotti, Ludovica Pannitto, Eleonora Zucchini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonotti-2026-is-semi-automatic-transcription-useful/)
678. [**BRAGD: Constrained Multi-Label POS Tagging for Faroese**Annika Simonsen, Barbara Scalvini, Uni Johannesen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonsen-2026-bragd-constrained-multi-label-pos/)
679. [**AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments**Telem Joyson Singh, Hemanta Baruah, Sanasam Ranbir Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-assamlegaltrans-parallel-corpus-benchmark-analysis/)
680. [**Question and Response Dynamics in Public Service Encounters**Wassiliki Siskou, Ingrid Espinoza, Laurin Friedrich, et al.*2026*](https://md.research.elamur.ai/free/en/papers/siskou-2026-question-response-dynamics-public-service/)
681. [**Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks**Jakub Šmíd, Pavel Priban, Pavel Kral*2026*](https://md.research.elamur.ai/free/en/papers/smid-2026-extending-czech-aspect-based-sentiment/)
682. [**Scare Quotes as Markers of “Questionable” Word Usages and Misalignment in Conversation: An Annotation Study**Aina Garí Soler, Juan Carlos Zevallos Huaco, Matthieu Labeau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/soler-2026-scare-quotes-as-markers-questionable/)
683. [**Knowledge-Infused Hierarchy-Aware Emotion Recognition in Code-mixed Mental Health Counseling Conversations**Aseem Srivastava, Kushagra Mittal, Anusha Tiwari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/srivastava-2026-knowledge-infused-hierarchy-aware-emotion/)
684. [**Glossed Data in Northern Interior Salish**Anna Stacey*2026*](https://md.research.elamur.ai/free/en/papers/stacey-2026-glossed-data-northern-interior-salish/)
685. [**Integrating TEI, NER/NEL, Textometry, and Linked Data for a Semantically Enriched Interview Corpus**Ranka Stankovic, Tamara Vučenović, Biljana Rujević, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stankovic-2026-integrating-tei-ner-nel-textometry/)
686. [**Cross-Corpus CEFR Classification through Artificial Learners Perplexities**Bernardo Stearns, John P. McCrae, Thomas Gaillat*2026*](https://md.research.elamur.ai/free/en/papers/stearns-2026-cross-corpus-cefr-classification-through/)
687. [**Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain**Steinþór Steingrímsson, Einar Freyr Sigurðsson*2026*](https://md.research.elamur.ai/free/en/papers/steingrimsson-2026-scoring-translation-target-automatic-keyword/)
688. [**STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/)
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