---
title: "Who cites Deep Contextualized Word Representations — page 4"
description: "3,240 papers of the Elamur Research library cite «Deep Contextualized Word Representations», found in their bibliographies · page 4 of 4 · 301–388; the…"
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---
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# Who cites «Deep Contextualized Word Representations»

3,240 papers of our library cite it (of the 140,884 whose bibliographies we read) · 388 with a page here, the most cited first · page 4 of 4 · 301–388 · [← the paper](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/)

[← prev](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/cited-by/page/3/) **4**

301. [**Probing for idiomaticity in vector space models**Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al.*2021 · 89 citations*](https://md.research.elamur.ai/free/en/papers/garcia-2021-probing-idiomaticity-vector-space-models/)
302. [**Dialogue Act Classification with Context-Aware Self-Attention**Vipul Raheja, Joel Tetreault*2019 · 88 citations*](https://md.research.elamur.ai/free/en/papers/raheja-2019-dialogue-act-classification-context-aware/)
303. [**A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation**Massimo Poesio, Jon Chamberlain, Silviu Paun, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/)
304. [**Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task**Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.*2021 · 85 citations*](https://md.research.elamur.ai/free/en/papers/rei-2021-are-references-really-needed-unbabel/)
305. [**PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution**Hong Chen, Zhenhua Fan, Hao Lu, et al.*2018 · 84 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-preco-large-scale-dataset-preschool/)
306. [**Coreference Resolution through a seq2seq Transition-Based System**Bernd Bohnet, Chris Alberti, Michael Collins*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2023-coreference-resolution-through-seq2seq-transition/)
307. [**What Artificial Neural Networks Can Tell Us About Human Language Acquisition**Alex Warstadt, Samuel R. Bowman*2022 · 72 citations*](https://md.research.elamur.ai/free/en/papers/warstadt-2022-artificial-neural-networks-tell-us/)
308. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/)
309. [**Multi-Relational Script Learning for Discourse Relations**I-Ta Lee, Dan Goldwasser*2019 · 66 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-multi-relational-script-learning-discourse/)
310. [**Arabic aspect sentiment polarity classification using BERT**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba*2021 · 60 citations*](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-sentiment-polarity-classification/)
311. [**AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level**Amit Seker, Elron Bandel, Dan Bareket, et al.*2022 · 57 citations*](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/)
312. [**End-to-end Deep Reinforcement Learning Based Coreference Resolution**Hongliang Fei, Xu Li, Dingcheng Li, et al.*2019 · 57 citations*](https://md.research.elamur.ai/free/en/papers/fei-2019-end-end-deep-reinforcement-learning/)
313. [**Harnessing the linguistic signal to predict scalar inferences**Sebastian Schuster, Yuxing Chen, Judith Degen*2020 · 54 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/)
314. [**Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings**Linh The Nguyen, Linh Van Ngo, Khoat Than, et al.*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2019-employing-correspondence-relations-connectives-identify/)
315. [**Paraphrasing vs Coreferring: Two Sides of the Same Coin**Yehudit Meged, Avi Caciularu, Vered Shwartz, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/meged-2020-paraphrasing-vs-coreferring-two-sides/)
316. [**Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus**Elena Zotova, Rodrigo Agerri, Manuel Nuñez, et al.*2020 · 46 citations*](https://md.research.elamur.ai/free/en/papers/zotova-2020-multilingual-stance-detection-tweets-catalonia/)
317. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/)
318. [**Adversarial Learning for Discourse Rhetorical Structure Parsing**Longyin Zhang, Fang Kong, Guodong Zhou*2021 · 45 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/)
319. [**Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations**Wanqiu Long, Bonnie Webber*2022 · 43 citations*](https://md.research.elamur.ai/free/en/papers/long-2022-facilitating-contrastive-learning-discourse-relational/)
320. [**CxGBERT: BERT meets Construction Grammar**Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, et al.*2020 · 43 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2020-cxgbert-bert-meets-construction-grammar/)
321. [**What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/)
322. [**TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition**Ruifang He, Jian Wang, Fengyu Guo, et al.*2020 · 41 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-transs-driven-joint-learning-architecture/)
323. [**A Few Topical Tweets are Enough for Effective User Stance Detection**Younes Samih, Kareem Darwish*2021 · 40 citations*](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/)
324. [**C-Net: Contextual Network for Sarcasm Detection**Amit Kumar Jena, Aman Sinha, Rohit Agarwal*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/jena-2020-c-net-contextual-network-sarcasm/)
325. [**Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends**Giuliano Martinelli, Edoardo Barba, Roberto Navigli*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/martinelli-2024-maverick-efficient-accurate-coreference-resolution/)
326. [**RST Discourse Parsing with Second-Stage EDU-Level Pre-training**Nan Yu, Meishan Zhang, Guohong Fu, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-rst-discourse-parsing-second-stage/)
327. [**What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text**Biaoyan Fang, Timothy Baldwin, Karin Verspoor*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/fang-2022-what-does-it-take-bake/)
328. [**Multitask Learning-Based Neural Bridging Reference Resolution**Juntao Yu, Massimo Poesio*2020 · 32 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-multitask-learning-based-neural-bridging/)
329. [**Neural Sarcasm Detection using Conversation Context**Nikhil Jaiswal*2020 · 32 citations*](https://md.research.elamur.ai/free/en/papers/jaiswal-2020-neural-sarcasm-detection-conversation-context/)
330. [**Probing Contextual Language Models for Common Ground with Visual Representations**Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/)
331. [**Coreference for Discourse Parsing: A Neural Approach**Grigorii Guz, Giuseppe Carenini*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-coreference-discourse-parsing-neural-approach/)
332. [**Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach**Koren Lazar, Benny Saret, Asaf Yehudai, et al.*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/lazar-2021-filling-gaps-ancient-akkadian-texts/)
333. [**Assessing Discourse Relations in Language Generation from GPT-2**Wei-Jen Ko, Junyi Jessy Li*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/)
334. [**ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain**Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/fang-2021-chemu-ref-corpus-modeling-anaphora/)
335. [**Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition**Yingxue Zhang, Fandong Meng, Peng Li, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-context-tracking-network-graph-based/)
336. [**VerbNet Representations: Subevent Semantics for Transfer Verbs**Susan Windisch Brown, Julia Bonn, James Gung, et al.*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/)
337. [**Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement**Alireza Mohammadshahi, James Henderson*2021 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2021-recursive-non-autoregressive-graph-graph/)
338. [**Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models**Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-taqyim-evaluating-arabic-nlp-tasks/)
339. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
340. [**Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art**Jing Lu, Vincent Ng*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/lu-2020-conundrums-entity-coreference-resolution-making/)
341. [**Implicit Discourse Relation Identification for Open-domain Dialogues**Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, et al.*2019 · 25 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-implicit-discourse-relation-identification-open/)
342. [**Semantic Role Labeling as Syntactic Dependency Parsing**Tianze Shi, Igor Malioutov, Ozan Irsoy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/)
343. [**Conundrums in Event Coreference Resolution: Making Sense of the State of the Art**Jing Lu, Vincent Ng*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-conundrums-event-coreference-resolution-making/)
344. [**Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network**Fan Jiang, Trevor Cohn*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-incorporating-syntax-semantics-coreference-resolution/)
345. [**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/)
346. [**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/)
347. [**Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations**I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/lee-2020-weakly-supervised-modeling-contextualized-event/)
348. [**Exploring Retrieval Augmented Generation in Arabic**Samhaa R. El-Beltagy, Mohamed A. Abdallah*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/el-beltagy-2024-exploring-retrieval-augmented-generation-arabic/)
349. [**A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News**Corbèn Poot, Andreas van Cranenburgh*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/poot-2020-benchmark-rule-based-neural-coreference/)
350. [**Hybrid Enhanced Universal Dependencies Parsing**Johannes Heinecke*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/heinecke-2020-hybrid-enhanced-universal-dependencies-parsing/)
351. [**Can we obtain significant success in RST discourse parsing by using Large Language Models?**Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/)
352. [**BLiMP: The Benchmark of Linguistic Minimal Pairs for English**Alex Warstadt, Alicia Parrish, Haokun Liu, et al.*2020 · 19 citations*](https://md.research.elamur.ai/free/en/papers/warstadt-2020-blimp-benchmark-linguistic-minimal-pairs/)
353. [**Neural End-to-end Coreference Resolution for German in Different Domains**Fynn Schröder, Hans Ole Hatzel, Chris Biemann*19 citations*](https://md.research.elamur.ai/free/en/papers/schroder-neural-end-end-coreference-resolution/)
354. [**ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer**Ebrahim Chekol Jibril, A. Cuneyd Tant\ug*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/jibril-2022-anec-amharic-named-entity-corpus/)
355. [**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/)
356. [**ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language**Mohammad Mehdi Jaziriyan, Ahmad Akbari, Hamed Karbasi*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/jaziriyan-2022-exaasc-general-target-based-stance/)
357. [**The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results**Simon Mille, Anya Belz, Bernd Bohnet, et al.*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)
358. [**Stay Together: A System for Single and Split-antecedent Anaphora Resolution**Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al.*2021 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-stay-together-system-single-split/)
359. [**A Cluster Ranking Model for Full Anaphora Resolution**Juntao Yu, Alexandra Uma, Massimo Poesio*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-cluster-ranking-model-full-anaphora/)
360. [**Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution**Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al.*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-free-plural-unrestricted-split-antecedent/)
361. [**Rewarding Coreference Resolvers for Being Consistent with World Knowledge**Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/aralikatte-2019-rewarding-coreference-resolvers-being-consistent/)
362. [**SemLink 2.0: Chasing Lexical Resources**Kevin Stowe, Jenette Preciado, Kathryn Conger, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2021-semlink-2-0-chasing-lexical/)
363. [**Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing**René Knaebel, Manfred Stede*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/knaebel-2020-contextualized-embeddings-connective-disambiguation-shallow/)
364. [**Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions**Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.*2019 · 15 citations*](https://md.research.elamur.ai/free/en/papers/al-bataineh-2019-deep-contextualized-pairwise-semantic-similarity/)
365. [**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/)
366. [**New Insights into Cross-Document Event Coreference: Systematic Comparison and a Simplified Approach**Andres Cremisini, Mark Finlayson*2020 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cremisini-2020-new-insights-into-cross-document/)
367. [**Neural Coreference Resolution for Arabic**Abdulrahman Aloraini, Juntao Yu, Massimo Poesio*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2020-neural-coreference-resolution-arabic/)
368. [**On the Importance of Tokenization in Arabic Embedding Models**Mohamed Alkaoud, Mairaj Syed*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alkaoud-2020-importance-tokenization-arabic-embedding-models/)
369. [**Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task**Tatiana Anikina, Cennet Oguz, Natalia Skachkova, et al.*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/anikina-2021-anaphora-resolution-dialogue-description-dfki/)
370. [**An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution**Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, et al.*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/konno-2020-empirical-study-contextual-data-augmentation/)
371. [**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/)
372. [**The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/)
373. [**A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples**Yuxuan Wang, Wanxiang Che, Ivan Titov, et al.*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-closer-look-into-robustness-neural/)
374. [**Contextualized Embeddings for Enriching Linguistic Analyses on Politeness**Ahmad Aljanaideh, Eric Fosler-Lussier, Marie-Catherine de Marneffe*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2020-contextualized-embeddings-enriching-linguistic-analyses/)
375. [**Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era**Agnieszka Falenska, Anders Björkelund, Jonas Kuhn*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/falenska-2020-integrating-graph-based-transition-based/)
376. [**Offensive language detection in Hebrew: can other languages help?**Marina Litvak, Natalia Vanetik, Chaya Liebeskind, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/litvak-2022-offensive-language-detection-hebrew-can/)
377. [**Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis**Seth Kulick, Neville Ryant, Beatrice Santorini*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kulick-2022-penn-helsinki-parsed-corpus-early/)
378. [**Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models**Dengyi Liu, Minghao Wang, Andrew G. Catlin*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-detecting-anti-semitic-hate-speech/)
379. [**A Pragmatics-Centered Evaluation Framework for Natural Language Understanding**Damien Sileo, Philippe Muller, Tim Van de Cruys, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sileo-2022-pragmatics-centered-evaluation-framework-natural/)
380. [**Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/)
381. [**Parsing Early Modern English for Linguistic Search**Seth Kulick, Neville Ryant, Beatrice Santorini*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kulick-2022-parsing-early-modern-english-linguistic/)
382. [**Comparing Native and Learner Englishes Using a Large Pre-trained Language Model**Tatsuya Aoyama*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/)
383. [**Roadblocks in Gender Bias Measurement for Diachronic Corpora**Saied Alshahrani, Esma Wali, Abdullah R Alshamsan, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshahrani-2022-roadblocks-gender-bias-measurement-diachronic/)
384. [**Transparent Semantic Change Detection with Dependency-Based Profiles**Bach Phan Tat, Kris Heylen, Dirk Geeraerts, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tat-2026-transparent-semantic-change-detection-dependency/)
385. [**Siamese AraBERT-LSTM Model based Approach for Arabic Paraphrase Detection**Adnen Mahmoud, Mounir Zrigui*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mahmoud-2022-siamese-arabert-lstm-model-based/)
386. [**NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference**Matheus Westhelle, Viviane Moreira*2026*](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/)
387. [**Sentiment Analysis and Language Models for Kwanyama**Ndapa Nakashole*2026*](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/)
388. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/)

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