---
title: "Arts and Humanities — papers, page 27 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 27 of 94 · 2526–2625, the most cited first — our summary of each…"
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# 🎭 Arts and Humanities

9,296 papers · page 27 of 94 · 2526–2625 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Languages and linguistics, history, philosophy, literature, religion, music and the arts.

## Papers (9,296)

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2526. [**Efficient Parsing of Highly Ambiguous Context-Free Grammars with Bit Vectors**Helmut Schmid*2004 · 209 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2004-efficient-parsing-highly-ambiguous-context/)
2527. [**Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study**Hwee Tou Ng, Bin Wang, Yee Seng Chan*2003 · 209 citations*](https://md.research.elamur.ai/free/en/papers/ng-2003-exploiting-parallel-texts-word-sense/)
2528. [**Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts**Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith*2019 · 208 citations*](https://md.research.elamur.ai/free/en/papers/clark-2019-sentence-mover-s-similarity-automatic/)
2529. [**LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better**Adhiguna Kuncoro, Chris Dyer, John Hale, et al.*2018 · 208 citations*](https://md.research.elamur.ai/free/en/papers/kuncoro-2018-lstms-can-learn-syntax-sensitive/)
2530. [**Universal Decompositional Semantics on Universal Dependencies**Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al.*2016 · 208 citations*](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)
2531. [**Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation**Rico Sennrich*2012 · 208 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2012-perplexity-minimization-translation-model-domain/)
2532. [**Text-level Discourse Parsing with Rich Linguistic Features**Vanessa Wei Feng, Graeme Hirst*2012 · 208 citations*](https://md.research.elamur.ai/free/en/papers/feng-2012-text-level-discourse-parsing-rich/)
2533. [**READ–IT: Assessing Readability of Italian Texts with a View to Text Simplification**Felice Dell'Orletta, Simonetta Montemagni, Giulia Venturi*2011 · 208 citations*](https://md.research.elamur.ai/free/en/papers/orletta-2011-read-it-assessing-readability-italian/)
2534. [**Learning to Predict Code-Switching Points**Thamar Solorio, Yang Liu*2008 · 208 citations*](https://md.research.elamur.ai/free/en/papers/solorio-2008-learning-predict-code-switching-points/)
2535. [**Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation**Haoran Xu, Amr Sharaf, Yunmo Chen, et al.*2024 · 207 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-contrastive-preference-optimization-pushing-boundaries/)
2536. [**Exploring Human-Like Translation Strategy with Large Language Models**Zhiwei He, Tian Liang, Wenxiang Jiao, et al.*2024 · 207 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/)
2537. [**Ring Attention with Blockwise Transformers for Near-Infinite Context**Hao Liu, Matei Zaharia, Pieter Abbeel*2023 · 207 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-ring-attention-blockwise-transformers-near/)
2538. [**Safe RLHF: Safe Reinforcement Learning from Human Feedback**Josef Dai, Xuehai Pan, Ruiyang Sun, et al.*2023 · 207 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-safe-rlhf-safe-reinforcement-learning/)
2539. [**Active Example Selection for In-Context Learning**Yiming Zhang, Shi Feng, Chenhao Tan*2022 · 207 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-active-example-selection-context-learning/)
2540. [**Generating Training Data with Language Models: Towards Zero-Shot Language Understanding**Yu Meng, Jiaxin Huang, Yu Zhang, et al.*2022 · 207 citations*](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/)
2541. [**Prompting GPT-3 To Be Reliable**Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.*2022 · 207 citations*](https://md.research.elamur.ai/free/en/papers/si-2022-prompting-gpt-3-reliable/)
2542. [**Explaining Answers with Entailment Trees**Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.*2021 · 207 citations*](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/)
2543. [**Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP**Timo Schick, Sahana Udupa, Hinrich Schutze*2021 · 207 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-self-diagnosis-self-debiasing-proposal/)
2544. [**XOR QA: Cross-lingual Open-Retrieval Question Answering**Akari Asai, Jungo Kasai, Jonathan Clark, et al.*2021 · 207 citations*](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/)
2545. [**Enabling Language Models to Fill in the Blanks**Chris Donahue, Mina Lee, Percy Liang*2020 · 207 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2020-enabling-language-models-fill-blanks/)
2546. [**A Diagram Is Worth A Dozen Images**Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.*2016 · 207 citations*](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/)
2547. [**PET: a Tool for Post-editing and Assessing Machine Translation**Wilker Aziz, Sheila Castilho, Lucia Specia*2012 · 207 citations*](https://md.research.elamur.ai/free/en/papers/aziz-2012-pet-tool-post-editing-assessing/)
2548. [**A Classifier-Based Parser with Linear Run-Time Complexity**Kenji Sagae, Alon Lavie*2005 · 207 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2005-classifier-based-parser-linear-run/)
2549. [**Machine Translation with Inferred Stochastic Finite-State Transducers**Francisco Casacuberta, Enrique Vidal*2004 · 207 citations*](https://md.research.elamur.ai/free/en/papers/casacuberta-2004-machine-translation-inferred-stochastic-finite/)
2550. [**Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs**Oded Ovadia, Menachem Brief, Moshik Mishaeli, et al.*2024 · 206 citations*](https://md.research.elamur.ai/free/en/papers/ovadia-2024-fine-tuning-or-retrieval-comparing/)
2551. [**LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models**Yen-Ting Lin, Yun-Nung Chen*2023 · 206 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-llm-eval-unified-multi-dimensional/)
2552. [**“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters**Yixin Wan, George Pu, Jiao Sun, et al.*2023 · 206 citations*](https://md.research.elamur.ai/free/en/papers/wan-2023-kelly-is-warm-person-joseph/)
2553. [**Automated Concatenation of Embeddings for Structured Prediction**Xinyu Wang, Yong Jiang, Nguyen Bach, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-automated-concatenation-embeddings-structured-prediction/)
2554. [**Entities as Experts: Sparse Memory Access with Entity Supervision**Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/fevry-2020-entities-as-experts-sparse-memory/)
2555. [**Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space**Chunyuan Li, Xiang Gao, Yuan Li, et al.*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-optimus-organizing-sentences-pre-trained/)
2556. [**Training Question Answering Models From Synthetic Data**Raul Puri, Ryan Spring, Mohammad Shoeybi, et al.*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/puri-2020-training-question-answering-models-synthetic/)
2557. [**Proactive Human-Machine Conversation with Explicit Conversation Goal**Wenquan Wu, Zhen Guo, Xiangyang Zhou, et al.*2019 · 206 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-proactive-human-machine-conversation-explicit/)
2558. [**Nematus: a Toolkit for Neural Machine Translation**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 206 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/)
2559. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
2560. [**Tense and Aspect Error Correction for ESL Learners Using Global Context**Toshikazu Tajiri, Mamoru Komachi, Yuji Matsumoto*2012 · 206 citations*](https://md.research.elamur.ai/free/en/papers/tajiri-2012-tense-aspect-error-correction-esl/)
2561. [**Easily Identifiable Discourse Relations**Emily Pitler, Mridhula Raghupathy, Hena Mehta, et al.*2008 · 206 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2008-easily-identifiable-discourse-relations/)
2562. [**Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation**Roy Tromble, Shankar Kumar, Franz Och, et al.*2008 · 206 citations*](https://md.research.elamur.ai/free/en/papers/tromble-2008-lattice-minimum-bayes-risk-decoding/)
2563. [**A Discriminative Framework for Bilingual Word Alignment**Robert C. Moore*2005 · 206 citations*](https://md.research.elamur.ai/free/en/papers/moore-2005-discriminative-framework-bilingual-word-alignment/)
2564. [**Search-o1: Agentic Search-Enhanced Large Reasoning Models**Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.*2025 · 205 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-search-o1-agentic-search-enhanced/)
2565. [**Internet-augmented language models through few-shot prompting for open-domain question answering**Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2022-internet-augmented-language-models-through/)
2566. [**On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?**Nouha Dziri, Sivan Milton, Mo Yu, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/)
2567. [**PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization**Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/)
2568. [**Towards a Unified Multi-Dimensional Evaluator for Text Generation**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/)
2569. [**Entity-level Factual Consistency of Abstractive Text Summarization**Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.*2021 · 205 citations*](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/)
2570. [**Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning**Xinyu Wang, Yong Jiang, Nguyen Bach, et al.*2021 · 205 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-improving-named-entity-recognition-external/)
2571. [**Deep Unknown Intent Detection with Margin Loss**Ting-En Lin, Hua Xu*2019 · 205 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-deep-unknown-intent-detection-margin/)
2572. [**Neural Arabic Question Answering**Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.*2019 · 205 citations*](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/)
2573. [**Contextual Parameter Generation for Universal Neural Machine Translation**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 205 citations*](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/)
2574. [**Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation**Hyun Kim, Jong-Hyeok Lee, Seung-Hoon Na*2017 · 205 citations*](https://md.research.elamur.ai/free/en/papers/kim-2017-predictor-estimator-multilevel-task-learning/)
2575. [**The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions**Agata Savary, Carlos Ramisch, Silvio Cordeiro, et al.*2017 · 205 citations*](https://md.research.elamur.ai/free/en/papers/savary-2017-parseme-shared-task-automatic-identification/)
2576. [**A Bayesian Model of Diachronic Meaning Change**Lea Frermann, Mirella Lapata*2016 · 205 citations*](https://md.research.elamur.ai/free/en/papers/frermann-2016-bayesian-model-diachronic-meaning-change/)
2577. [**Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World**Jayant Krishnamurthy, Thomas Kollar*2013 · 205 citations*](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2013-jointly-learning-parse-perceive-connecting/)
2578. [**Overcoming the Lack of Parallel Data in Sentence Compression**Katja Filippova, Yasemin Altun*2013 · 205 citations*](https://md.research.elamur.ai/free/en/papers/filippova-2013-overcoming-lack-parallel-data-sentence/)
2579. [**Supervised Learning of Complete Morphological Paradigms**Greg Durrett, John DeNero*2013 · 205 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2013-morphological-paradigms/)
2580. [**A Morphological Analyzer for Egyptian Arabic**Nizar Habash, Ramy Eskander, Abdelati Hawwari*2012 · 205 citations*](https://md.research.elamur.ai/free/en/papers/habash-2012-morphological-analyzer-egyptian-arabic/)
2581. [**Modality and Negation: An Introduction to the Special Issue**Roser Morante, Caroline Sporleder*2012 · 205 citations*](https://md.research.elamur.ai/free/en/papers/morante-2012-modality-negation-introduction-special-issue/)
2582. [**The Importance of Supertagging for Wide-Coverage CCG Parsing**Stephen Clark, James R. Curran*2004 · 205 citations*](https://md.research.elamur.ai/free/en/papers/clark-2004-importance-supertagging-wide-coverage-ccg/)
2583. [**Building a Large-Scale Annotated Chinese Corpus**Nianwen Xue, Fu-Dong Chiou, Martha Palmer*2002 · 205 citations*](https://md.research.elamur.ai/free/en/papers/xue-2002-building-large-scale-annotated-chinese/)
2584. [**Semantic-Head-Driven Generation**Stuart M. Shieber, Gertjan van Noord, Fernando C. N. Pereira, et al.*1990 · 205 citations*](https://md.research.elamur.ai/free/en/papers/shieber-1990-semantic-head-driven-generation/)
2585. [**LIMO: Less is More for Reasoning**Yixin Ye, Zhen Huang, Yang Xiao, et al.*2025 · 204 citations*](https://md.research.elamur.ai/free/en/papers/ye-2025-limo-less-more-reasoning/)
2586. [**EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty**Yuhui Li, Fangyun Wei, Chao Zhang, et al.*2024 · 204 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-speculative-sampling-requires-rethinking/)
2587. [**RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models**Cheng Niu, Yuanhao Wu, Juno Zhu, et al.*2024 · 204 citations*](https://md.research.elamur.ai/free/en/papers/niu-2024-ragtruth-hallucination-corpus-developing-trustworthy/)
2588. [**LLM+P: Empowering Large Language Models with Optimal Planning Proficiency**Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.*2023 · 204 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-llm-p-empowering-large-language/)
2589. [**On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation**Ruidan He, Linlin Liu, Hai Ye, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/)
2590. [**Recursively Summarizing Books with Human Feedback**Jeff Wu, Long Ouyang, Daniel M. Ziegler, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-recursively-summarizing-books-human-feedback/)
2591. [**CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters**Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.*2020 · 204 citations*](https://md.research.elamur.ai/free/en/papers/boukkouri-2020-characterbert-reconciling-elmo-bert-word/)
2592. [**Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization**Jiaao Chen, Diyi Yang*2020 · 204 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-multi-view-sequence-sequence-models/)
2593. [**On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation**Chaojun Wang, Rico Sennrich*2020 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-exposure-bias-hallucination-domain-shift/)
2594. [**SemEval 2018 Task 2: Multilingual Emoji Prediction**Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, et al.*2018 · 204 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2018-semeval-2018-task-2-multilingual/)
2595. [**Findings of the 2012 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2012 · 204 citations*](https://md.research.elamur.ai/free/en/papers/burch-2012-findings-2012-workshop-statistical-machine/)
2596. [**Using Contextual Speller Techniques and Language Modeling for ESL Error Correction**Michael Gamon, Jianfeng Gao, Chris Brockett, et al.*2008 · 204 citations*](https://md.research.elamur.ai/free/en/papers/gamon-2008-contextual-speller-techniques-language-modeling/)
2597. [**A TAG-based noisy-channel model of speech repairs**Mark Johnson, Eugene Charniak*2004 · 204 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2004-tag-based-noisy-channel-model/)
2598. [**Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning**Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.*2024 · 203 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/)
2599. [**SALMONN: Towards Generic Hearing Abilities for Large Language Models**Changli Tang, Wenyi Yu, Guangzhi Sun, et al.*2023 · 203 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-salmonn-towards-generic-hearing-abilities/)
2600. [**mGPT: Few-Shot Learners Go Multilingual**Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.*2022 · 203 citations*](https://md.research.elamur.ai/free/en/papers/shliazhko-2022-mgpt-few-shot-learners-go/)
2601. [**DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks**Bosheng Ding, Linlin Liu, Lidong Bing, et al.*2020 · 203 citations*](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/)
2602. [**Evaluating Factuality in Generation with Dependency-level Entailment**Tanya Goyal, Greg Durrett*2020 · 203 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2020-evaluating-factuality-generation-dependency-level/)
2603. [**An Effective Approach to Unsupervised Machine Translation**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2019 · 203 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2019-effective-approach-unsupervised-machine-translation/)
2604. [**A Regression Model of Adjective-Noun Compositionality in Distributional Semantics**Emiliano Guevara*2010 · 203 citations*](https://md.research.elamur.ai/free/en/papers/guevara-2010-regression-model-adjective-noun-compositionality/)
2605. [**Tree Kernels for Semantic Role Labeling**Alessandro Moschitti, Daniele Pighin, Roberto Basili*2008 · 203 citations*](https://md.research.elamur.ai/free/en/papers/moschitti-2008-tree-kernels-semantic-role-labeling/)
2606. [**DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation**Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.*2023 · 202 citations*](https://md.research.elamur.ai/free/en/papers/valipour-2023-dylora-parameter-efficient-tuning-pre/)
2607. [**TinyStories: How Small Can Language Models Be and Still Speak Coherent English?**Ronen Eldan, Yuanzhi Li*2023 · 202 citations*](https://md.research.elamur.ai/free/en/papers/eldan-2023-tinystories-small-language-models-still/)
2608. [**Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview**Deven Shah, H. Andrew Schwartz, Dirk Hovy*2019 · 202 citations*](https://md.research.elamur.ai/free/en/papers/shah-2019-predictive-biases-natural-language-processing/)
2609. [**Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data**Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, et al.*2018 · 202 citations*](https://md.research.elamur.ai/free/en/papers/pratapa-2018-language-modeling-code-mixing-role/)
2610. [**TL;DR: Mining Reddit to Learn Automatic Summarization**Michael Völske, Martin Potthast, Shahbaz Syed, et al.*2017 · 202 citations*](https://md.research.elamur.ai/free/en/papers/volske-2017-tl-dr-mining-reddit-learn/)
2611. [**Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus**Nicholas Asher, Julie Hunter, Mathieu Morey, et al.*2016 · 202 citations*](https://md.research.elamur.ai/free/en/papers/asher-2016-discourse-structure-dialogue-acts-multiparty/)
2612. [**Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss**Barbara Plank, Anders Søgaard, Yoav Goldberg*2016 · 202 citations*](https://md.research.elamur.ai/free/en/papers/plank-2016-multilingual-part-speech-tagging-bidirectional/)
2613. [**Did It Happen? The Pragmatic Complexity of Veridicality Assessment**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2012 · 202 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2012-did-it-happen-pragmatic-complexity/)
2614. [**A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English**Rachele De Felice, Stephen G. Pulman*2008 · 202 citations*](https://md.research.elamur.ai/free/en/papers/felice-2008-classifier-based-approach-preposition-determiner/)
2615. [**A Linear Observed Time Statistical Parser Based on Maximum Entropy Models**Adwait Ratnaparkhi*1997 · 202 citations*](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-1997-linear-observed-time-statistical-parser/)
2616. [**DeepSeek-VL: Towards Real-World Vision-Language Understanding**Haoyu Lu, Wen Liu, Bo Zhang, et al.*2024 · 201 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-deepseek-vl-real-world/)
2617. [**SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
2618. [**AraT5: Text-to-Text Transformers for Arabic Language Generation**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 201 citations*](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/)
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