---
title: "Who cites Canwen Xu — page 7 — 8,596 papers of our library"
description: "8,596 papers of the Elamur Research library cite the works of Canwen Xu, found in their bibliographies · page 7 of 8 · 601–700; the most cited first."
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---
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# Who cites Canwen Xu

9,197 citations of their works from 8,596 papers of our library (of the 141,840 whose bibliographies we read) · 775 with a page here, the most cited first · page 7 of 8 · 601–700 · [← Canwen Xu](https://md.research.elamur.ai/free/en/authors/canwen-xu/)

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601. **[UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language](https://md.research.elamur.ai/free/en/papers/xi-2023-unicorn-unified-cognitive-signal-reconstruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nuwa Xi, Sendong Zhao, Haochun Wang, et al.*2023 · 23 citations*
602. **[Dialogue Act-based Breakdown Detection in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita*2021 · 23 citations*
603. **[discopy: A Neural System for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/knaebel-2021-discopy-neural-system-shallow-discourse/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**René Knaebel*2021 · 23 citations*
604. [**MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)**Enrique Manjavacas Arevalo, Lauren Fonteyn*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/arevalo-2021-macberth-development-evaluation-historically-pre/)
605. [**Graph-to-Graph Transformer for Transition-based Dependency Parsing**Alireza Mohammadshahi, James Henderson*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2020-graph-graph-transformer-transition-based/)
606. **[ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-connprompt-connective-cloze-prompt-learning/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wei Xiang, Zhenglin Wang, Lu Dai, et al.*2022 · 21 citations*
607. [**DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules**Yanchen Liu, William Held, Diyi Yang*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/)
608. **[Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts](https://md.research.elamur.ai/free/en/papers/le-2022-few-shot-anaphora-resolution-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nghia T. Le, Fan Bai, Alan Ritter*2022 · 20 citations*
609. **[Can we obtain significant success in RST discourse parsing by using Large Language Models?](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2024 · 19 citations*
610. **[Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom](https://md.research.elamur.ai/free/en/papers/yue-2024-do-large-language-models-understand/) [Chinese National Conference on Computational Linguistics](https://md.research.elamur.ai/free/en/venues/ccl/)**Shisen Yue, Siyuan Song, Xinyuan Cheng, et al.*2024 · 19 citations*
611. **[Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*
612. **[Predicting scalar diversity with context-driven uncertainty over alternatives](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Jennifer Hu, Roger Levy, Sebastian Schuster*2022 · 19 citations*
613. **[Neural Language Models for Nineteenth-Century English](https://md.research.elamur.ai/free/en/papers/hosseini-2021-neural-language-models-nineteenth-century/) [Journal of Open Humanities Data](https://md.research.elamur.ai/free/en/venues/journal-of-open-humanities-data/)**Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, et al.*2021 · 19 citations*
614. **[Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining](https://md.research.elamur.ai/free/en/papers/guz-2020-unleashing-power-neural-discourse-parsers/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Grigorii Guz, Patrick Huber, Giuseppe Carenini*2020 · 19 citations*
615. **[Universal Proposition Bank 2.0](https://md.research.elamur.ai/free/en/papers/jindal-2022-universal-proposition-bank-2-0/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ishan Jindal, Alexandre Rademaker, Michał Ulewicz, et al.*2022 · 18 citations*
616. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/)
617. [**Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages arXiv:2111.13974**Somnath Banerjee, Maulindu Sarkar, Nancy Agrawal, et al.*2021 · 17 citations*](https://md.research.elamur.ai/free/en/papers/banerjee-2021-exploring-transformer-based-models-identify/)
618. **[Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys](https://md.research.elamur.ai/free/en/papers/cao-2024-bridging-cultural-nuances-dialogue-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yong Cao, Min Chen, Daniel Hershcovich*2024 · 16 citations*
619. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.*2024 · 16 citations*
620. **[A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing](https://md.research.elamur.ai/free/en/papers/kobayashi-2022-simple-strong-baseline-end-end/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2022 · 16 citations*
621. **[Controllable Lexical Simplification for English](https://md.research.elamur.ai/free/en/papers/sheang-2022-controllable-lexical-simplification-english/) [Workshop on Text Simplification, Accessibility and Readability](https://md.research.elamur.ai/free/en/venues/tsar/)**Kim Cheng Sheang, Daniel Ferrés, Horacio Saggion*2022 · 16 citations*
622. [**Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets arXiv:2208.00932**Yousef Altaher, Ali Fadel, Mazen Alotaibi, et al.*2022 · 16 citations*](https://md.research.elamur.ai/free/en/papers/altaher-2022-masader-plus-new-interface-exploring/)
623. [**AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset arXiv:2105.03143**Mohamed Seghir Hadj Ameur, Hassina Aliane*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-mfh-arabic-covid-19/)
624. [**Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling**Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/)
625. [**JABER and SABER: Junior and Senior Arabic BERt arXiv:2112.04329**Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2021-jaber-saber-junior-senior-arabic/)
626. [**HeRo: RoBERTa and Longformer Hebrew Language Models**Vitaly Shalumov, Harel Haskey*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shalumov-2023-hero-roberta-longformer-hebrew-language/)
627. **[Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/knaebel-2020-contextualized-embeddings-connective-disambiguation-shallow/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**René Knaebel, Manfred Stede*2020 · 15 citations*
628. [**SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora arXiv:2405.06239**Faisal Qarah*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-saudibert-large-language-model-pretrained/)
629. [**Constituency Parsing using LLMs arXiv:2310.19462**Xuefeng Bai, Jialong Wu, Yulong Chen, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/bai-2023-constituency-parsing-using-llms/)
630. **[Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2021-pseudo-zero-pronoun-resolution-improves/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, et al.*2021 · 14 citations*
631. [**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/)
632. **[Open Universal Arabic ASR Leaderboard](https://md.research.elamur.ai/free/en/papers/wang-2024-open-universal-arabic-asr-leaderboard/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Yingzhi Wang, Anas Alhmoud, Muhammad Alqurishi*2024 · 13 citations*
633. [**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/)
634. **[Distilling Calibrated Knowledge for Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2023-distilling-calibrated-knowledge-stance-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Cornelia Caragea*2023 · 13 citations*
635. [**Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2022 · 13 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2022-introducing-berel-bert-embeddings-rabbinic/)
636. **[Partial-input baselines show that NLI models can ignore context, but they don't.](https://md.research.elamur.ai/free/en/papers/srikanth-2022-partial-input-baselines-show-that/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Neha Srikanth, Rachel Rudinger*2022 · 13 citations*
637. **[Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/li-2024-discourse-relation-prediction-discourse-parsing/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Chuyuan Li, Chloé Braud, Maxime Amblard, et al.*2024 · 12 citations*
638. **[MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/tanner-2023-mwe-as-wsd-solving-multiword/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joshua Tanner, Jacob Hoffman*2023 · 12 citations*
639. **[GeezSwitch: Language Identification in Typologically Related Low-resourced East African Languages](https://md.research.elamur.ai/free/en/papers/gaim-2022-geezswitch-language-identification-typologically-related/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fitsum Gaim, Wonsuk Yang, Jong C. Park*2022 · 12 citations*
640. **[Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://md.research.elamur.ai/free/en/papers/kabbara-2022-investigating-performance-transformer-based-nli/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Jad Kabbara, Jackie Chi Kit Cheung*2022 · 12 citations*
641. **[End-to-end Neural Information Status Classification](https://md.research.elamur.ai/free/en/papers/hou-2021-end-end-neural-information-status/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yufang Hou*2021 · 12 citations*
642. [**ParaShoot: A Hebrew Question Answering Dataset**Omri Keren, Omer Levy*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/keren-2021-parashoot-hebrew-question-answering-dataset/)
643. **[GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning](https://md.research.elamur.ai/free/en/papers/ramos-2025-grammamt-improving-machine-translation-grammar/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al.*2025 · 11 citations*
644. [**AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis arXiv:2403.12392**Faisal Qarah*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-arapoembert-pretrained-language-model-arabic/)
645. **[Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach](https://md.research.elamur.ai/free/en/papers/li-2024-dialogue-discourse-parsing-as-generation/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Chuyuan Li, Yuwei Yin, Giuseppe Carenini*2024 · 11 citations*
646. **[How Are Idioms Processed Inside Transformer Language Models?](https://md.research.elamur.ai/free/en/papers/tian-2023-how-are-idioms-processed-inside/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Ye Tian, Isobel James, Hye Son*2023 · 11 citations*
647. **[IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions](https://md.research.elamur.ai/free/en/papers/zeng-2023-iekg-commonsense-knowledge-graph-idiomatic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.*2023 · 11 citations*
648. [**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/)
649. **[Coreference Reasoning in Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/wu-2021-coreference-reasoning-machine-reading-comprehension/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.*2021 · 11 citations*
650. [**EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora arXiv:2408.03524**Faisal Qarah*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-egybert-large-language-model-pretrained/)
651. **[TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2023-teprompt-task-enlightenment-prompt-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Xiang, Chao Liang, Bang Wang*2023 · 10 citations*
652. **[Speaker-Aware Discourse Parsing on Multi-Party Dialogues](https://md.research.elamur.ai/free/en/papers/yu-2022-speaker-aware-discourse-parsing-multi/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nan Yu, Guohong Fu, Min Zhang*2022 · 10 citations*
653. **[Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation](https://md.research.elamur.ai/free/en/papers/latif-2021-controlling-prosody-end-end-tts/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Siddique Latif, Inyoung Kim, Ioan Calapodescu, et al.*2021 · 10 citations*
654. **[TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags](https://md.research.elamur.ai/free/en/papers/guan-2025-trifine-large-scale-dataset-vision/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Boyu Guan, Yining Zhang, Yang Zhao, et al.*2025 · 9 citations*
655. [**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/)
656. **[TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings](https://md.research.elamur.ai/free/en/papers/hanley-2023-tata-stance-detection-topic-agnostic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hans Hanley, Zakir Durumeric*2023 · 9 citations*
657. [**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/)
658. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding arXiv:2205.10687**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/)
659. **[The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/) [International Conference on Parsing Technologies and the IWPT Shared Task on Parsing into Enhanced Universal Dependencies](https://md.research.elamur.ai/free/en/venues/iwpt/)**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*
660. [**A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions arXiv:2502.09128 · Journal of Computer Science, 21(1) 2025, 88-95**Nasser A Alsadhan*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alsadhan-2025-novel-dialect-aware-framework-classification/)
661. [**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/)
662. [**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/)
663. **[Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/wang-2023-prompt-based-logical-semantics-enhancement/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chenxu Wang, Ping Jian, Mu Huang*2023 · 8 citations*
664. **[Decomposing Natural Logic Inferences for Neural NLI](https://md.research.elamur.ai/free/en/papers/rozanova-2022-decomposing-natural-logic-inferences-neural/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.*2022 · 8 citations*
665. **[Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support](https://md.research.elamur.ai/free/en/papers/branco-2022-universal-grammatical-dependencies-portuguese-cintil/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**António Branco, João Ricardo Silva, Luís Gomes, et al.*2022 · 8 citations*
666. **[A Controlled Reevaluation of Coreference Resolution Models](https://md.research.elamur.ai/free/en/papers/porada-2024-controlled-reevaluation-coreference-resolution-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ian Porada, Xiyuan Zou, Jackie Chi Kit Cheung*2024 · 7 citations*
667. **[Automatic Annotation of Grammaticality in Child-Caregiver Conversations](https://md.research.elamur.ai/free/en/papers/nikolaus-2024-automatic-annotation-grammaticality-child-caregiver/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mitja Nikolaus, Abhishek Agrawal, Petros Kaklamanis, et al.*2024 · 7 citations*
668. **[ThatiAR: Subjectivity Detection in Arabic News Sentences](https://md.research.elamur.ai/free/en/papers/suwaileh-2024-thatiar-subjectivity-detection-arabic-news/) [Proceedings of the International AAAI Conference on Web and Social Media](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-international-aaai-conference-on-web-and-social-media/)**Reem Suwaileh, Maram Hasanain, Fatema Hubail, et al.*2024 · 7 citations*
669. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
670. **[Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences](https://md.research.elamur.ai/free/en/papers/luo-2022-simple-but-challenging-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Luo, Wei Liu, Jieyu Lin, et al.*2022 · 7 citations*
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