---
title: "Association for Computational Linguistics — works, page 18"
description: "3,691 works of Association for Computational Linguistics in our library · page 18 of 37, the most cited first."
canonical: "https://research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/18/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/18/)

[home](https://md.research.elamur.ai/free/en/) / [publishers](https://md.research.elamur.ai/free/en/publishers/) / [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) / [works](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/) / page 18

# Works of Association for Computational Linguistics

3,691 works · page 18 of 37 · the most cited first · [← Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

[← prev](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/17/) [1](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/) … [17](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/17/) **18** [19](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/19/) … [37](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/37/) [next →](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/19/)

1701. [**Accurate Evaluation of Segment-level Machine Translation Metrics**Yvette Graham, Timothy Baldwin, Nitika Mathur*2015 · 155 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/)
1702. [**ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs**Justin Chen, Swarnadeep Saha, Mohit Bansal*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-reconcile-round-table-conference-improves/)
1703. [**TheoremQA: A Theorem-driven Question Answering Dataset**Wenhu Chen, Ming Yin, Max Ku, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-theoremqa-theorem-driven-question-answering/)
1704. [**Large Language Models with Controllable Working Memory**Daliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-controllable-working/)
1705. [**Evaluating Style Transfer for Text**Remi Mir, Bjarke Felbo, Nick Obradovich, et al.*2019 · 154 citations*](https://md.research.elamur.ai/free/en/papers/mir-2019-evaluating-style-transfer-text/)
1706. [**Annotated Gigaword**Courtney Napoles, Matthew Gormley, Benjamin Van Durme*2012 · 154 citations*](https://md.research.elamur.ai/free/en/papers/napoles-2012-annotated-gigaword/)
1707. [**Coreference Resolution with World Knowledge**Altaf Rahman, Vincent Ng*2011 · 154 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2011-coreference-resolution-world-knowledge/)
1708. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
1709. [**Graph Pre-training for AMR Parsing and Generation**Xuefeng Bai, Yulong Chen, Yue Zhang*2022 · 153 citations*](https://md.research.elamur.ai/free/en/papers/bai-2022-graph-pre-training-amr-parsing/)
1710. [**Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2005 · 153 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2005-probabilistic-disambiguation-models-wide-coverage/)
1711. [**Generation from Abstract Meaning Representation using Tree Transducers**Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)
1712. [**Practical Very Large Scale CRFs**Thomas Lavergne, Olivier Cappé, François Yvon*2010 · 152 citations*](https://md.research.elamur.ai/free/en/papers/lavergne-2010-practical-very-large-scale-crfs/)
1713. [**Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models**Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.*2024 · 151 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-language-specific-neurons-key-multilingual/)
1714. [**ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages**Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.*2023 · 151 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/)
1715. [**Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-will-they-won-t-they/)
1716. [**Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models**Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al.*2011 · 151 citations*](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/)
1717. [**Graph-based Event Coreference Resolution**Zheng Chen, Heng Ji*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/chen-2009-graph-based-event-coreference-resolution/)
1718. [**Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features**Viola Ganter, Michael Strube*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/ganter-2009-finding-hedges-chasing-weasels-hedge/)
1719. [**Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model**Yue Zhang, Stephen Clark*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2009-transition-based-parsing-chinese-treebank/)
1720. [**The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models**Junyi Li, Jie Chen, Ruiyang Ren, et al.*2024 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/)
1721. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/)
1722. [**Statistical Power and Translationese in Machine Translation Evaluation**Yvette Graham, Barry Haddow, Philipp Koehn*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/)
1723. [**Discourse Parsing with Attention-based Hierarchical Neural Networks**Qi Li, Tianshi Li, Baobao Chang*2016 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-discourse-parsing-attention-based-hierarchical/)
1724. [**Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models**Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.*2024 · 149 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/)
1725. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/)
1726. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
1727. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
1728. [**The Effect of Translationese in Machine Translation Test Sets**Mike Zhang, Antonio Toral*2019 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/)
1729. [**Adding Noun Phrase Structure to the Penn Treebank**David Vadas, James Curran*2007 · 149 citations*](https://md.research.elamur.ai/free/en/papers/vadas-2007-adding-noun-phrase-structure-penn/)
1730. [**A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue**Michael Strube, Christoph Müller*2003 · 149 citations*](https://md.research.elamur.ai/free/en/papers/strube-2003-machine-learning-approach-pronoun-resolution/)
1731. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/)
1732. [**Neural Models for Reasoning over Multiple Mentions Using Coreference**Bhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.*2018 · 147 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2018-neural-models-reasoning-over-multiple/)
1733. [**Neural Net Models of Open-domain Discourse Coherence**Jiwei Li, Dan Jurafsky*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/)
1734. [**How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs**Rico Sennrich*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-how-grammatical-is-character-level/)
1735. [**Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**Jun Zhang, Jue Wang, Huan Li, et al.*2024 · 146 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-draft-verify-lossless-large-language/)
1736. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)
1737. [**Word-Level Coreference Resolution**Vladimir Dobrovolskii*2021 · 146 citations*](https://md.research.elamur.ai/free/en/papers/dobrovolskii-2021-word-level-coreference-resolution/)
1738. [**How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition**Guanting Dong, Hongyi Yuan, Keming Lu, et al.*2024 · 145 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/)
1739. [**Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding**Heming Xia, Zhe Yang, Qingxiu Dong, et al.*2024 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-unlocking-efficiency-large-language-model/)
1740. [**Fact-Checking Complex Claims with Program-Guided Reasoning**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/)
1741. [**SCOTT: Self-Consistent Chain-of-Thought Distillation**Peifeng Wang, Zhengyang Wang, Zheng Li, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/)
1742. [**Context-faithful Prompting for Large Language Models**Wenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-context-faithful-prompting-large-language/)
1743. [**Efficient Second-Order TreeCRF for Neural Dependency Parsing**Yu Zhang, Zhenghua Li, Min Zhang*2020 · 145 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-efficient-second-order-treecrf-neural/)
1744. [**SyntaxGym: An Online Platform for Targeted Evaluation of Language Models**Jon Gauthier, Jennifer Hu, Ethan Wilcox, et al.*2020 · 145 citations*](https://md.research.elamur.ai/free/en/papers/gauthier-2020-syntaxgym-online-platform-targeted-evaluation/)
1745. [**SGM: Sequence Generation Model for Multi-label Classification**Pengcheng Yang, Xu Sun, Wei Li, et al.*2018 · 145 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/)
1746. [**Cross-Document Coreference on a Large Scale Corpus**Chung Heong Gooi, James Allan*2004 · 145 citations*](https://md.research.elamur.ai/free/en/papers/gooi-2004-cross-document-coreference-large-scale/)
1747. [**Unified Demonstration Retriever for In-Context Learning**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/)
1748. [**Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework**Ruochen Zhao, Xingxuan Li, Shafiq Joty, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-verify-edit-knowledge-enhanced-chain/)
1749. [**In-Context Learning for Few-Shot Dialogue State Tracking**Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-context-learning-few-shot-dialogue/)
1750. [**GLUCOSE: GeneraLized and COntextualized Story Explanations**Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2020-glucose-generalized-contextualized-story-explanations/)
1751. [**UNQOVERing Stereotyping Biases via Underspecified Questions**Tao Li, Daniel Khashabi, Tushar Khot, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-unqovering-stereotyping-biases-underspecified-questions/)
1752. [**SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation**Xutai Ma, Mohammad Javad Dousti, Changhan Wang, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/ma-2020-simuleval-evaluation-toolkit-simultaneous-translation/)
1753. [**Revealing the Myth of Higher-Order Inference in Coreference Resolution**Liyan Xu, Jinho D. Choi*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-revealing-myth-higher-order-inference/)
1754. [**Vecalign: Improved Sentence Alignment in Linear Time and Space**Brian Thompson, Philipp Koehn*2019 · 144 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2019-vecalign-improved-sentence-alignment-linear/)
1755. [**SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD**Kim Gerdes, Bruno Guillaume, Sylvain Kahane, et al.*2018 · 144 citations*](https://md.research.elamur.ai/free/en/papers/gerdes-2018-sud-or-surface-syntactic-universal/)
1756. [**Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/)
1757. [**The Role of Context Types and Dimensionality in Learning Word Embeddings**Oren Melamud, David McClosky, Siddharth Patwardhan, et al.*2016 · 144 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/)
1758. [**Collective Classification for Fine-grained Information Status**Katja Markert, Yufang Hou, Michael Strube*2012 · 144 citations*](https://md.research.elamur.ai/free/en/papers/markert-2012-collective-classification-fine-grained-information/)
1759. [**Supervised Models for Coreference Resolution**Altaf Rahman, Vincent Ng*2009 · 144 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2009-supervised-models-coreference-resolution/)
1760. [**Unsupervised discovery of morphologically related words based on orthographic and semantic similarity**Marco Baroni, Johannes Matiasek, Harald Trost*2002 · 144 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2002-unsupervised-discovery-morphologically-related-words/)
1761. [**AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages**Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/)
1762. [**Quality-Aware Decoding for Neural Machine Translation**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/)
1763. [**Using Context Information for Dialog Act Classification in DNN Framework**Yang Liu, Kun Han, Zhao Tan, et al.*2017 · 143 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-context-information-dialog-act-classification/)
1764. [**Lexicon Infused Phrase Embeddings for Named Entity Resolution**Alexandre Passos, Vineet Kumar, Andrew McCallum*2014 · 143 citations*](https://md.research.elamur.ai/free/en/papers/passos-2014-lexicon-infused-phrase-embeddings-named/)
1765. [**Aligning English Strings with Abstract Meaning Representation Graphs**Nima Pourdamghani, Yang Gao, Ulf Hermjakob, et al.*2014 · 143 citations*](https://md.research.elamur.ai/free/en/papers/pourdamghani-2014-aligning-english-strings-abstract-meaning/)
1766. [**Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts**Haoxiang Wang, Wei Xiong, Tengyang Xie, et al.*2024 · 142 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-interpretable-preferences-multi-objective-reward/)
1767. [**In-Context Learning Creates Task Vectors**Roee Hendel, Mor Geva, Amir Globerson*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/hendel-2023-context-learning-creates-task-vectors/)
1768. [**Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification**Man Lan, Jianxiang Wang, Yuanbin Wu, et al.*2017 · 142 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/)
1769. [**Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives**Attapol Rutherford, Nianwen Xue*2015 · 142 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/)
1770. [**RSTTool 2.4 - A markup Tool for Rhetorical Structure Theory**Michael O'Donnell*2000 · 142 citations*](https://md.research.elamur.ai/free/en/papers/donnell-2000-rsttool-2-4-markup-tool/)
1771. [**Large-Scale QA-SRL Parsing**Nicholas FitzGerald, Julian Michael, Luheng He, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fitzgerald-2018-large-scale-qa-srl-parsing/)
1772. [**Deep contextualized word representations for detecting sarcasm and irony**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/)
1773. [**Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words**Debanjan Ghosh, Weiwei Guo, Smaranda Muresan*2015 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/)
1774. [**Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution**Eraldo Fernandes, Cícero dos Santos, Ruy Milidiú*2012 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2012-latent-structure-perceptron-feature-induction/)
1775. [**A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation**Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.*2022 · 140 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-token-level-reference-free-hallucination/)
1776. [**RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation**Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi*2018 · 140 citations*](https://md.research.elamur.ai/free/en/papers/shimanaka-2018-ruse-regressor-sentence-embeddings-automatic/)
1777. [**An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews**Konstantin Buschmeier, Philipp Cimiano, Roman Klinger*2014 · 140 citations*](https://md.research.elamur.ai/free/en/papers/buschmeier-2014-impact-analysis-features-classification-approach/)
1778. [**Diverse Demonstrations Improve In-context Compositional Generalization**Itay Levy, Ben Bogin, Jonathan Berant*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/levy-2023-diverse-demonstrations-improve-context-compositional/)
1779. [**Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/)
1780. [**Paragraph-level Simplification of Medical Texts**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)
1781. [**On The Evaluation of Machine Translation Systems Trained With Back-Translation**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 139 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/)
1782. [**Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples**Vidur Joshi, Matthew Peters, Mark Hopkins*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2018-extending-parser-distant-domains-few/)
1783. [**Trivial Transfer Learning for Low-Resource Neural Machine Translation**Tom Kocmi, Ondřej Bojar*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/)
1784. [**Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 139 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/)
1785. [**A computational approach to politeness with application to social factors**Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, et al.*2013 · 139 citations*](https://md.research.elamur.ai/free/en/papers/mizil-2013-computational-approach-politeness-application-social/)
1786. [**Dependency-based Semantic Role Labeling of PropBank**Richard Johansson, Pierre Nugues*2008 · 139 citations*](https://md.research.elamur.ai/free/en/papers/johansson-2008-dependency-based-semantic-role-labeling/)
1787. [**A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, et al.*2020 · 138 citations*](https://md.research.elamur.ai/free/en/papers/leong-2020-report-2020-vua-toefl-metaphor/)
1788. [**Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling**Alan Akbik, Laura Chiticariu, Marina Danilevsky, et al.*2015 · 138 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2015-generating-high-quality-proposition-banks/)
1789. [**Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach**Shanheng Zhao, Hwee Tou Ng*2007 · 138 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2007-identification-resolution-chinese-zero-pronouns/)
1790. [**Investigating Data Contamination in Modern Benchmarks for Large Language Models**Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-investigating-data-contamination-modern-benchmarks/)
1791. [**ConvoKit: A Toolkit for the Analysis of Conversations**Jonathan P. Chang, Caleb Chiam, Liye Fu, et al.*2020 · 137 citations*](https://md.research.elamur.ai/free/en/papers/chang-2020-convokit-toolkit-analysis-conversations/)
1792. [**A fine-grained comparison of pragmatic language understanding in humans and language models**Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/)
1793. [**SummScreen: A Dataset for Abstractive Screenplay Summarization**Mingda Chen, Zewei Chu, Sam Wiseman, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/)
1794. [**NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/)
1795. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
1796. [**A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards**Jacqueline Aguilar, Charley Beller, Paul McNamee, et al.*2014 · 136 citations*](https://md.research.elamur.ai/free/en/papers/aguilar-2014-comparison-events-relations-across-ace/)
1797. [**Findings of the 2009 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2009 · 136 citations*](https://md.research.elamur.ai/free/en/papers/burch-2009-findings-2009-workshop-statistical-machine/)
1798. [**Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models**Qingyu Lu, Baopu Qiu, Liang Ding, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-error-analysis-prompting-enables-human/)
1799. [**Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task**Ricardo Rei, Nuno M. Guerreiro, José Pombal, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/rei-2023-scaling-up-cometkiwi-unbabel-ist/)
1800. [**Semantic Structural Evaluation for Text Simplification**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 135 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/)

[← prev](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/17/) [1](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/) … [17](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/17/) **18** [19](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/19/) … [37](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/37/) [next →](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/19/)

- [← back to](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) — Association for Computational Linguistics
