---
title: "English — papers, page 7"
description: "English: 976 papers of the Elamur Research library · page 7 of 11 · 526–625, the most cited first."
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# English

976 papers · page 7 of 11 · 526–625 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

English as a language: its grammar, words, usage and history, and the tools built for it.

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526. [**A Lexicon-Based Approach for Detecting Hedges in Informal Text**Jumayel Islam, Lu Xiao, Robert E. Mercer*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/islam-2020-lexicon-based-approach-detecting-hedges/)
527. [**Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions**Kira Droganova, Filip Ginter, Jenna Kanerva, et al.*2018 · 15 citations*](https://md.research.elamur.ai/free/en/papers/droganova-2018-mind-gap-data-enrichment-dependency/)
528. [**Using Hedge Detection to Improve Committed Belief Tagging**Morgan Ulinski, Seth Benjamin, Julia Hirschberg*2018 · 15 citations*](https://md.research.elamur.ai/free/en/papers/ulinski-2018-hedge-detection-improve-committed-belief/)
529. [**Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts**Gerold Schneider, Eva Pettersson, Michael Percillier*2017 · 15 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/)
530. [**Constraints in contact: Animacy in English and Afrikaans genitive variation – a cross-linguistic perspective**Anette Rosenbach*2017 · 15 citations*](https://md.research.elamur.ai/free/en/papers/rosenbach-2017-constraints-contact-animacy-english-afrikaans/)
531. [**PP Attachment: Where do We Stand?**Daniël de Kok, Jianqiang Ma, Corina Dima, et al.*2017 · 15 citations*](https://md.research.elamur.ai/free/en/papers/kok-2017-pp-attachment-where-do-we/)
532. [**A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives**Qingcheng Zeng, An-Ran Li*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/)
533. [**The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue**Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, et al.*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-codi-crac-2022-shared-task/)
534. [**What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks**Richard Futrell, William Dyer, Greg Scontras*2020 · 14 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2020-what-determines-order-adjectives-english/)
535. [**Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German**Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez*2016 · 14 citations*](https://md.research.elamur.ai/free/en/papers/kunz-2016-beyond-identity-coreference-contrasting-indicators/)
536. [**Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions**Sasha Boguraev, Christopher Potts, Kyle Mahowald*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/boguraev-2025-causal-interventions-reveal-shared-structure/)
537. [**AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference**Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-ambicoref-evaluating-human-model-sensitivity/)
538. [**Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*2022 · 13 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/)
539. [**"I'll be there for you": The One with Understanding Indirect Answers**Cathrine Damgaard, Paulina Toborek, Trine Eriksen, et al.*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/damgaard-2021-i-ll-be-there-you/)
540. [**Using Syntax to Resolve NPE in English**Payal Khullar, Allen Antony, Manish Shrivastava*2019 · 13 citations*](https://md.research.elamur.ai/free/en/papers/khullar-2019-syntax-resolve-npe-english/)
541. [**Investigating NP-Chunking with Universal Dependencies for English**Ophélie Lacroix*2018 · 13 citations*](https://md.research.elamur.ai/free/en/papers/lacroix-2018-investigating-np-chunking-universal-dependencies/)
542. [**The lexical pragmatics of count-mass polysemy**Ingrid L. Falkum*2017 · 13 citations*](https://md.research.elamur.ai/free/en/papers/falkum-2017-lexical-pragmatics-count-mass-polysemy/)
543. [**ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions**Olga Uryupina, Ron Artstein, Antonella Bristot, et al.*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/)
544. [**The Role of the Gricean Maxims in the Generation of Referring Expressions**Robert Dale, Ehud Reiter*1996 · 13 citations*](https://md.research.elamur.ai/free/en/papers/dale-1996-role-gricean-maxims-generation-referring/)
545. [**Generating English Paraphrases From Formal Relational Calculus Expressions**A.N. De Roeck, B.G.T. Lowden*1986 · 13 citations*](https://md.research.elamur.ai/free/en/papers/roeck-1986-generating-english-paraphrases-formal-relational/)
546. [**Towards Pragmatic Production Strategies for Natural Language Generation Tasks**Mario Giulianelli*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2022-pragmatic-production-strategies-natural-language/)
547. [**Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English**Imane Guellil, Ahsan Adeel, Faical Azouaou, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2021-sexism-detection-first-corpus-algerian/)
548. [**Cairo Student Code-Switch (CSCS) Corpus: An Annotated Egyptian Arabic-English Corpus**Mohamed Balabel, Injy Hamed, Slim Abdennadher, et al.*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/balabel-2020-cairo-student-code-switch-cscs/)
549. [**Combining Event Semantics and Degree Semantics for Natural Language Inference**Izumi Haruta, Koji Mineshima, Daisuke Bekki*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)
550. [**NoEl: An Annotated Corpus for Noun Ellipsis in English**Payal Khullar, Kushal Majmundar, Manish Shrivastava*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/khullar-2020-noel-annotated-corpus-noun-ellipsis/)
551. [**Semi-supervised Contextual Historical Text Normalization**Peter Makarov, Simon Clematide*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/makarov-2020-semi-supervised-contextual-historical-text/)
552. [**Wiktionary Normalization of Translations and Morphological Information**Winston Wu, David Yarowsky*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-wiktionary-normalization/)
553. [**Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project**Guillaume Wisniewski*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wisniewski-2018-errator-tool-help-detect-annotation/)
554. [**A non-projective greedy dependency parser with bidirectional LSTMs**David Vilares, Carlos Gómez-Rodríguez*2017 · 12 citations*](https://md.research.elamur.ai/free/en/papers/vilares-2017-non-projective-greedy-dependency-parser/)
555. [**Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English**Tomoya Mizumoto, Ryo Nagata*2017 · 12 citations*](https://md.research.elamur.ai/free/en/papers/mizumoto-2017-analyzing-impact-spelling-errors-pos/)
556. [**Construction of an English Dependency Corpus incorporating Compound Function Words**Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto*2016 · 12 citations*](https://md.research.elamur.ai/free/en/papers/kato-2016-construction-english-dependency-corpus-incorporating/)
557. [**Identifying Cascading Errors using Constraints in Dependency Parsing**Dominick Ng, James R. Curran*2015 · 12 citations*](https://md.research.elamur.ai/free/en/papers/ng-2015-identifying-cascading-errors-constraints-dependency/)
558. [**Diachronic proximity vs. data sparsity in cross-lingual parser projection. A case study on Germanic**Maria Sukhareva, Christian Chiarcos*2014 · 12 citations*](https://md.research.elamur.ai/free/en/papers/sukhareva-2014-diachronic-proximity-vs-data-sparsity/)
559. [**Multi-word expressions in textual inference: Much ado about nothing?**Marie-Catherine de Marneffe, Sebastian Padó, Christopher D. Manning*2009 · 12 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2009-multi-word-expressions-textual-inference/)
560. [**Generation of VP Ellipsis: A Corpus-Based Approach**Daniel Hardt, Owen Rambow*2001 · 12 citations*](https://md.research.elamur.ai/free/en/papers/hardt-2001-generation-vp-ellipsis-corpus-based/)
561. [**CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/)
562. [**Disentangling Indirect Answers to Yes-No Questions in Real Conversations**Krishna Sanagavarapu, Jathin Singaraju, Anusha Kakileti, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sanagavarapu-2022-disentangling-indirect-answers-yes-no/)
563. [**Semantic properties of English nominal pluralization: Insights from word embeddings**Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shafaei-bajestan-2022-semantic-properties-english-nominal-pluralization/)
564. [**Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages**Anna Nedoluzhko, Michal Novák, Martin Popel, et al.*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2021-coreference-meets-universal-dependencies/)
565. [**A POS Tagging Model Designed for Learner English**Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, et al.*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nagata-2018-pos-tagging-model-adapted-learner/)
566. [**SciCorp: A Corpus of English Scientific Articles Annotated for Information Status Analysis**Ina Roesiger*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/roesiger-2016-scicorp-corpus-english-scientific-articles/)
567. [**Building a reference lexicon for countability in English**Tibor Kiss, Francis Jeffry Pelletier, Tobias Stadtfeld*2014 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kiss-2014-building-reference-lexicon-countability-english/)
568. [**WordNet—Wikipedia—Wiktionary: Construction of a Three-way Alignment**Tristan Miller, Iryna Gurevych*2014 · 11 citations*](https://md.research.elamur.ai/free/en/papers/miller-2014-wordnet-wikipedia-wiktionary/)
569. [**Joint English Spelling Error Correction and POS Tagging for Language Learners Writing**Keisuke Sakaguchi, Tomoya Mizumoto, Mamoru Komachi, et al.*2012 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sakaguchi-2012-joint-english-spelling-error-correction/)
570. [**Descriptive and Empirical Approaches to Capturing Underlying Dependencies among Parsing Errors**Tadayoshi Hara, Yusuke Miyao, Jun'ichi Tsujii*2009 · 11 citations*](https://md.research.elamur.ai/free/en/papers/hara-2009-descriptive-empirical-approaches-capturing-underlying/)
571. [**Automatic Construction of a Japanese-Chinese Dictionary via English**Hiroyuki Kaji, Shin'ichi Tamamura, Dashtseren Erdenebat*2008 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kaji-2008-automatic-construction-japanese-chinese-dictionary/)
572. [**Preventing False Temporal Implicatures: Interactive Defaults for Text Generation**Jon Oberlander, Alex Lascarides*1992 · 11 citations*](https://md.research.elamur.ai/free/en/papers/oberlander-1992-preventing-false-temporal-implicatures-interactive/)
573. [**A Corpus for Sentence-Level Subjectivity Detection on English News Articles**Francesco Antici, Federico Ruggeri, Andrea Galassi, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/antici-2024-corpus-sentence-level-subjectivity-detection/)
574. [**Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective**Ian Porada, Alexandra Olteanu, Kaheer Suleman, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/)
575. [**The Gricean Maxims in NLP — A Survey**Lea Krause, Piek T.J.M. Vossen*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/krause-2024-gricean-maxims-nlp-survey/)
576. [**Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0**Nelson Filipe Costa, Nadia Sheikh, Leila Kosseim*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/costa-2023-mapping-explicit-implicit-discourse-relations/)
577. [**Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation**Mosab Shaheen, Shubham Kumar Nigam*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/shaheen-2022-plumeria-semeval-2022-task-6/)
578. [**How Much of Enhanced UD Is Contained in UD?**Adam Ek, Jean-Philippe Bernardy*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ek-2020-how-much-enhanced-ud-is/)
579. [**Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity**Debanjan Ghosh, Elena Musi, Smaranda Muresan*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/)
580. [**Historical Text Normalization with Delayed Rewards**Simon Flachs, Marcel Bollmann, Anders Søgaard*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/flachs-2019-historical-text-normalization-delayed-rewards/)
581. [**(*)ABA in Germanic verbs**Samuel Andersson*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/andersson-2018-aba-germanic-verbs/)
582. [**Datives, data and dialect syntax in American English**Jim Wood, Raffaella Zanuttini*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wood-2018-datives-data-dialect-syntax-american/)
583. [**Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers**Andre Cianflone, Yulan Feng, Jad Kabbara, et al.*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/cianflone-2018-let-s-do-it-again/)
584. [**Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks**Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2018-jointud-part-speech-tagging-lemmatization/)
585. [**Comprehensive and Consistent PropBank Light Verb Annotation**Claire Bonial, Martha Palmer*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/bonial-2016-comprehensive-consistent-propbank-light-verb/)
586. [**How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)
587. [**Kolmogorov complexity of morphs and constructions in English**Katharina Ehret*2014 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ehret-2014-kolmogorov-complexity-morphs-constructions-english/)
588. [**Cross-linguistic Attribute Selection for REG: Comparing Dutch and English**Mariët Theune, Ruud Koolen, Emiel Krahmer*2010 · 10 citations*](https://md.research.elamur.ai/free/en/papers/theune-2010-cross-linguistic-attribute-selection-reg/)
589. [**Towards Semi-Automated Annotation for Prepositional Phrase Attachment**Sara Rosenthal, William Lipovsky, Kathleen McKeown, et al.*2010 · 10 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2010-semi-automated-annotation-prepositional-phrase/)
590. [**Lexicon and grammar in probabilistic tagging of written English**Andrew David Beale*1988 · 10 citations*](https://md.research.elamur.ai/free/en/papers/beale-1988-lexicon-grammar-probabilistic-tagging-written/)
591. [**Computer Generation of Multiparagraph English Text**William C. Mann, James A. Moore*1981 · 10 citations*](https://md.research.elamur.ai/free/en/papers/mann-1981-computer-generation-multiparagraph-english-text/)
592. [**GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains**Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-gdtb-genre-diverse-data-english/)
593. [**Open-source Frame Semantic Parsing**David Chanin*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/chanin-2023-open-source-frame-semantic-parsing/)
594. [**Scoring Coreference Chains with Split-Antecedent Anaphors**Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/paun-2023-scoring-coreference-chains-split-antecedent/)
595. [**Using Modern Languages to Parse Ancient Ones: a Test on Old English**Luca Brigada Villa, Martina Giarda*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/villa-2023-modern-languages-parse-ancient-ones/)
596. [**When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle**Judith Sieker, Sina Zarrieß*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/sieker-2023-when-your-language-model-cannot/)
597. [**BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model**Brooke Stephenson, Laurent Besacier, Laurent Girin, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/stephenson-2022-bert-he-predict-contrastive-focus/)
598. [**Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions**Soo-Hwan Lee, Sebastian Schuster*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-can-language-models-capture-syntactic/)
599. [**Nucleus Composition in Transition-based Dependency Parsing**Joakim Nivre, Ali Basirat, Luise Dürlich, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2022-nucleus-composition-transition-based-dependency/)
600. [**YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic**Guangmin Zheng, Jin Wang, Xuejie Zhang*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-ynu-hpcc-semeval-2022-task/)
601. [**Cognitive and Linguistic Skills Associated With Cross-Linguistic Transfer in the Production of Oral Narratives in English as a Foreign Language by Arabic- and Hebrew-Speaking Children: Finding Common Denominators**Susie Russak, Elena Zaretsky*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/russak-2021-cognitive-linguistic-skills-associated-cross/)
602. [**Referenceless Parsing-Based Evaluation of AMR-to-English Generation**Emma Manning, Nathan Schneider*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/)
603. [**Exploring diachronic syntactic shifts with dependency length: the case of scientific English**Tom S Juzek, Marie Pauline Krielke, Elke Teich*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/juzek-2020-exploring-diachronic-syntactic-shifts-dependency/)
604. [**Fine-grained Information Status Classification Using Discourse Context-Aware BERT**Yufang Hou*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hou-2020-fine-grained-information-status-classification/)
605. [**Improving a Strong Neural Parser with Conjunction-Specific Features**Jessica Ficler, Yoav Goldberg*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-improving-strong-neural-parser-conjunction/)
606. [**Negation scope and spelling variation for text-mining of Danish electronic patient records**Cecilia Engel Thomas, Peter Bjødstrup Jensen, Thomas Werge, et al.*2014 · 9 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2014-negation-scope-spelling-variation-text/)
607. [**How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish**Martin Volk*2006 · 9 citations*](https://md.research.elamur.ai/free/en/papers/volk-2006-how-bad-is-problem-pp/)
608. [**Automatic Identification of Infrequent Word Senses**Diana McCarthy, Rob Koeling, Julie Weeds, et al.*2004 · 9 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2004-automatic-identification-infrequent-word-senses/)
609. [**OntoSem Methods for Processing Semantic Ellipsis**Marjorie McShane, Stephen Beale, Sergei Nirenburg*2004 · 9 citations*](https://md.research.elamur.ai/free/en/papers/mcshane-2004-ontosem-methods-processing-semantic-ellipsis/)
610. [**Syntactic disambiguation using presupposition resolution**Alistair Knott, Peter Vlugter*2003 · 9 citations*](https://md.research.elamur.ai/free/en/papers/knott-2003-syntactic-disambiguation-presupposition-resolution/)
611. [**A Freely Available Syntactic Lexicon for English**Dania Egedi, Patrick Martin*1994 · 9 citations*](https://md.research.elamur.ai/free/en/papers/egedi-1994-freely-available-syntactic-lexicon-english/)
612. [**Bilingual Rhetorical Structure Parsing with Large Parallel Annotations**Elena Chistova*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chistova-2024-bilingual-rhetorical-structure-parsing-large/)
613. [**GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres**Jessica Lin, Amir Zeldes*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-gumsley-evaluating-entity-salience-summarization/)
614. [**SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives**Rashid Nizamani, Sebastian Schuster, Vera Demberg*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/)
615. [**Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish**Oskar Holmström, Jenny Kunz, Marco Kuhlmann*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/holmstrom-2023-bridging-resource-gap-exploring-efficacy/)
616. [**Data-driven Parsing Evaluation for Child-Parent Interactions**Zoey Liu, Emily Prud'hommeaux*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-data-driven-parsing-evaluation-child/)
617. [**PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations**Peng Qi, Nina Du, Christopher Manning, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/qi-2023-pragmaticqa-dataset-pragmatic-question-answering/)
618. [**We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit**Davide Testa, Emmanuele Chersoni, Alessandro Lenci*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/testa-2023-we-understand-elliptical-sentences-language/)
619. [**Automatic Dialect Density Estimation for African American English**Alexander Johnson, Kevin Everson, Vijay Ravi, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2022-automatic-dialect-density-estimation-african/)
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