---
title: "Language and Linguistics — papers, page 11 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 11 of 93 · 926–1025, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 11 of 93 · 926–1025 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers (9,206)

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926. [**Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis**Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.*2016 · 515 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-recursive-neural-conditional-random-fields/)
927. [**Probing Classifiers: Promises, Shortcomings, and Advances**Yonatan Belinkov*2022 · 514 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2022-probing-classifiers-promises-shortcomings-advances/)
928. [**GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction**Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma*2019 · 514 citations*](https://md.research.elamur.ai/free/en/papers/fu-2019-graphrel-modeling-text-as-relational/)
929. [**Learning Gender-Neutral Word Embeddings**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 514 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/)
930. [**An Unsupervised Approach to Recognizing Discourse Relations**Daniel Marcu, Abdessamad Echihabi*2002 · 514 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-unsupervised-approach-recognizing-discourse-relations/)
931. [**Baichuan 2: Open Large-scale Language Models**Aiyuan Yang, Bin Xiao, Bingning Wang, et al.*2023 · 513 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-baichuan-2-open-large-scale/)
932. [**Learning to Solve Arithmetic Word Problems with Verb Categorization**Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, et al.*2014 · 513 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2014-learning-solve-arithmetic-word-problems/)
933. [**MLS: A Large-Scale Multilingual Dataset for Speech Research**Vineel Pratap, Qiantong Xu, Anuroop Sriram, et al.*2020 · 512 citations*](https://md.research.elamur.ai/free/en/papers/pratap-2020-mls-large-scale-multilingual-dataset/)
934. [**Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks**Ji Young Lee, Franck Dernoncourt*2016 · 512 citations*](https://md.research.elamur.ai/free/en/papers/lee-2016-sequential-short-text-classification-recurrent/)
935. [**FinQA: A Dataset of Numerical Reasoning over Financial Data**Zhiyu Chen, Wenhu Chen, Charese Smiley, et al.*2021 · 511 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/)
936. [**SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking**Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant*2021 · 511 citations*](https://md.research.elamur.ai/free/en/papers/formal-2021-splade-sparse-lexical-expansion/)
937. [**The LAMBADA dataset: Word prediction requiring a broad discourse context**Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.*2016 · 511 citations*](https://md.research.elamur.ai/free/en/papers/paperno-2016-lambada-dataset-word-prediction-requiring/)
938. [**Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?**Christopher D. Manning*2011 · 511 citations*](https://md.research.elamur.ai/free/en/papers/manning-2011-part-speech-tagging-97-100/)
939. [**What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA**Mengqiu Wang, Noah A. Smith, Teruko Mitamura*2007 · 510 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-what-is-jeopardy-model-quasi/)
940. [**Towards Expert-Level Medical Question Answering with Large Language Models**Karan Singhal, Tao Tu, Juraj Gottweis, et al.*2023 · 509 citations*](https://md.research.elamur.ai/free/en/papers/singhal-2023-towards-expert-level-medical-question/)
941. [**Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation**Xiao Liu, Zhunchen Luo, Heyan Huang*2018 · 509 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/)
942. [**TabFact: A Large-scale Dataset for Table-based Fact Verification**Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.*2019 · 508 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-tabfact-large-scale-dataset-table/)
943. [**A Discriminative Graph-Based Parser for the Abstract Meaning Representation**Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, et al.*2014 · 508 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2014-discriminative-graph-based-parser-abstract/)
944. [**A Structured Vector Space Model for Word Meaning in Context**Katrin Erk, Sebastian Padó*2008 · 508 citations*](https://md.research.elamur.ai/free/en/papers/erk-2008-structured-vector-space-model-word/)
945. [**Empirical Methods for Compound Splitting**Philipp Koehn, Kevin Knight*2003 · 508 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2003-empirical-methods-compound-splitting/)
946. [**Farasa: A Fast and Furious Segmenter for Arabic**Ahmed Abdelali, Kareem Darwish, Nadir Durrani, et al.*2016 · 507 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2016-farasa-fast-furious-segmenter-arabic/)
947. [**Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task**Heeyoung Lee, Yves Peirsman, Angel Chang, et al.*2011 · 507 citations*](https://md.research.elamur.ai/free/en/papers/lee-2011-stanford-s-multi-pass-sieve/)
948. [**LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2023 · 506 citations*](https://md.research.elamur.ai/free/en/papers/bai-2023-longbench-bilingual-multitask-benchmark/)
949. [**Marian: Fast Neural Machine Translation in C++**Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, et al.*2018 · 506 citations*](https://md.research.elamur.ai/free/en/papers/junczys-dowmunt-2018-marian-fast-neural-machine-translation/)
950. [**OpenAssistant Conversations — Democratizing Large Language Model Alignment**Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, et al.*2023 · 505 citations*](https://md.research.elamur.ai/free/en/papers/kopf-2023-openassistant-conversations-democratizing-large-language/)
951. [**Sentiment Analysis in the Era of Large Language Models: A Reality Check**Wenxuan Zhang, Yue Deng, Bing Liu, et al.*2023 · 505 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-sentiment-analysis-era-large-language/)
952. [**Gender Bias in Contextualized Word Embeddings**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 505 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/)
953. [**Improving Statistical Machine Translation Using Word Sense Disambiguation**Marine Carpuat, Dekai Wu*2007 · 505 citations*](https://md.research.elamur.ai/free/en/papers/carpuat-2007-improving-statistical-machine-translation-word/)
954. [**Chinese Word Segmentation as Character Tagging**Nianwen Xue*2003 · 505 citations*](https://md.research.elamur.ai/free/en/papers/xue-2003-chinese-word-segmentation-as-character/)
955. [**Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach**Hwee Tou Ng, Hian Beng Lee*1996 · 505 citations*](https://md.research.elamur.ai/free/en/papers/ng-1996-integrating-multiple-knowledge-sources-disambiguate/)
956. [**FLAT: Chinese NER Using Flat-Lattice Transformer**Xiaonan Li, Hang Yan, Xipeng Qiu, et al.*2020 · 504 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/)
957. [**ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations**John Wieting, Kevin Gimpel*2018 · 504 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2018-paranmt-50m-pushing-limits-paraphrastic/)
958. [**Two/Too Simple Adaptations of Word2Vec for Syntax Problems**Wang Ling, Chris Dyer, Alan W. Black, et al.*2015 · 504 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-two-too-simple-adaptations-word2vec/)
959. [**Inducing Crosslingual Distributed Representations of Words**Alexandre Klementiev, Ivan Titov, Binod Bhattarai*2012 · 504 citations*](https://md.research.elamur.ai/free/en/papers/klementiev-2012-inducing-crosslingual-distributed-representations-words/)
960. [**The Second Release of the RASP System**Ted Briscoe, John Carroll, Rebecca Watson*2006 · 504 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-2006-second-release-rasp-system/)
961. [**Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis**Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.*2024 · 503 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/)
962. [**Named Entity Recognition without Gazetteers**Andrei Mikheev, Marc Moens, Claire Grover*1999 · 502 citations*](https://md.research.elamur.ai/free/en/papers/mikheev-1999-named-entity-recognition-without-gazetteers/)
963. [**Sparse, Dense, and Attentional Representations for Text Retrieval**Yi Luan, Jacob Eisenstein, Kristina Toutanova, et al.*2021 · 501 citations*](https://md.research.elamur.ai/free/en/papers/luan-2021-sparse-dense-attentional-representations-text/)
964. [**MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms**Aida Amini, Saadia Gabriel, Shanchuan Lin, et al.*2019 · 501 citations*](https://md.research.elamur.ai/free/en/papers/amini-2019-mathqa-interpretable-math-word-problem/)
965. [**Neural Text Generation with Unlikelihood Training**Sean Welleck, Ilia Kulikov, Stephen Roller, et al.*2019 · 499 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2019-neural-text-generation-unlikelihood-training/)
966. [**Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree**Kai Sun, Richong Zhang, Samuel Mensah, et al.*2019 · 498 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-aspect-level-sentiment-analysis-convolution/)
967. [**Few-shot Learning with Multilingual Language Models**Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.*2021 · 497 citations*](https://md.research.elamur.ai/free/en/papers/lin-2021-few-shot-learning-multilingual-language/)
968. [**Shallow Semantic Parsing using Support Vector Machines**Sameer S. Pradhan, Wayne H. Ward, Kadri Hacioglu, et al.*2004 · 497 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2004-shallow-semantic-parsing-support-vector/)
969. [**I don't believe in word senses**Adam Kilgarriff*1997 · 497 citations*](https://md.research.elamur.ai/free/en/papers/kilgarriff-1997-word-senses/)
970. [**Learned in Translation: Contextualized Word Vectors**Bryan McCann, James Bradbury, Caiming Xiong, et al.*2017 · 496 citations*](https://md.research.elamur.ai/free/en/papers/mccann-2017-learned-translation-contextualized-word-vectors/)
971. [**Does String-Based Neural MT Learn Source Syntax?**Xing Shi, Inkit Padhi, Kevin Knight*2016 · 496 citations*](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/)
972. [**Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction**Hu Xu, Bing Liu, Lei Shu, et al.*2018 · 495 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-double-embeddings-cnn-based-sequence/)
973. [**Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses**Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.*2017 · 495 citations*](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/)
974. [**Learning Natural Language Inference with LSTM**Shuohang Wang, Jing Jiang*2016 · 495 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-learning-natural-language-inference-lstm/)
975. [**Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents**Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.*2023 · 494 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-chatgpt-good-search-investigating-large/)
976. [**Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks**Jason Phang, Thibault Févry, Samuel R. Bowman*2018 · 493 citations*](https://md.research.elamur.ai/free/en/papers/phang-2018-sentence-encoders-stilts-supplementary-training/)
977. [**Multi-Prototype Vector-Space Models of Word Meaning**Joseph Reisinger, Raymond J. Mooney*2010 · 492 citations*](https://md.research.elamur.ai/free/en/papers/reisinger-2010-multi-prototype-vector-space-models/)
978. [**Using Predicate-Argument Structures for Information Extraction**Mihai Surdeanu, Sanda Harabagiu, John Williams, et al.*2003 · 492 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2003-predicate-argument-structures-information-extraction/)
979. [**On building a more efficient grammar by exploiting types**Dan Flickinger*2000 · 492 citations*](https://md.research.elamur.ai/free/en/papers/flickinger-2000-building-more-efficient-grammar/)
980. [**Semi-Supervised Sequence Modeling with Cross-View Training**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 491 citations*](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/)
981. [**A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge**Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.*2022 · 490 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2022-okvqa-benchmark-visual-question-answering/)
982. [**Language Models are Multilingual Chain-of-Thought Reasoners**Freda Shi, Mirac Suzgun, Markus Freitag, et al.*2022 · 490 citations*](https://md.research.elamur.ai/free/en/papers/shi-2022-language-models-multilingual-chain-thought/)
983. [**BERT for Coreference Resolution: Baselines and Analysis**Mandar Joshi, Omer Levy, Luke Zettlemoyer, et al.*2019 · 490 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/)
984. [**A Convolutional Encoder Model for Neural Machine Translation**Jonas Gehring, Michael Auli, David Grangier, et al.*2017 · 490 citations*](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/)
985. [**Multi-Source Transfer of Delexicalized Dependency Parsers**Ryan McDonald, Slav Petrov, Keith Hall*2011 · 490 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2011-multi-source-transfer-delexicalized-dependency/)
986. [**Phi-4 Technical Report**Marah Abdin, Jyoti Aneja, Harkirat Behl, et al.*2024 · 489 citations*](https://md.research.elamur.ai/free/en/papers/abdin-2024-phi-4-technical-report/)
987. [**BBQ: A hand-built bias benchmark for question answering**Alicia Parrish, Angelica Chen, Nikita Nangia, et al.*2022 · 488 citations*](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/)
988. [**ParlAI: A Dialog Research Software Platform**Alexander Miller, Will Feng, Dhruv Batra, et al.*2017 · 488 citations*](https://md.research.elamur.ai/free/en/papers/miller-2017-parlai-dialog-research-software-platform/)
989. [**Semantic Parsing for Single-Relation Question Answering**Wen-tau Yih, Xiaodong He, Christopher Meek*2014 · 488 citations*](https://md.research.elamur.ai/free/en/papers/yih-2014-semantic-parsing-single-relation-question/)
990. [**PCFG Models of Linguistic Tree Representations**Mark Johnson*1998 · 488 citations*](https://md.research.elamur.ai/free/en/papers/johnson-1998-pcfg-models-linguistic-tree-representations/)
991. [**Texygen: A Benchmarking Platform for Text Generation Models**Yaoming Zhu, Sidi Lu, Lei Zheng, et al.*2018 · 487 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2018-texygen-benchmarking-platform-text-generation/)
992. [**The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems**Ryan Lowe, Nissan Pow, Iulian Serban, et al.*2015 · 486 citations*](https://md.research.elamur.ai/free/en/papers/lowe-2015-ubuntu-dialogue-corpus-large-dataset/)
993. [**Discovering Relations among Named Entities from Large Corpora**Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman*2004 · 486 citations*](https://md.research.elamur.ai/free/en/papers/hasegawa-2004-discovering-relations-among-named-entities/)
994. [**Named Entity Recognition through Classifier Combination**Radu Florian, Abe Ittycheriah, Hongyan Jing, et al.*2003 · 486 citations*](https://md.research.elamur.ai/free/en/papers/florian-2003-named-entity-recognition-through-classifier/)
995. [**What do Neural Machine Translation Models Learn about Morphology?**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/)
996. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 484 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/)
997. [**Learning Multilingual Subjective Language via Cross-Lingual Projections**Rada Mihalcea, Carmen Banea, Janyce Wiebe*2007 · 484 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2007-learning-multilingual-subjective-language-cross/)
998. [**DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference**Ji Xin, Raphael Tang, Jaejun Lee, et al.*2020 · 483 citations*](https://md.research.elamur.ai/free/en/papers/xin-2020-deebert-dynamic-early-exiting-accelerating/)
999. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 483 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
1000. [**Part-of-Speech Tagging Guidelines for the Penn Treebank Project (3rd Revision)**Beatrice Santorini*1990 · 483 citations*](https://md.research.elamur.ai/free/en/papers/santorini-1990-part-of-speech-tagging-guidelines-penn-treebank/)
1001. [**Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations**Peiyi Wang, Lei Li, Zhihong Shao, et al.*2024 · 482 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/)
1002. [**REPLUG: Retrieval-Augmented Black-Box Language Models**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 482 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
1003. [**Experiments in Domain Adaptation for Statistical Machine Translation**Philipp Koehn, Josh Schroeder*2007 · 482 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2007-experiments-domain-adaptation-statistical-machine/)
1004. [**HateBERT: Retraining BERT for Abusive Language Detection in English**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2021 · 481 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/)
1005. [**Universal Dependencies**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 480 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)
1006. [**Legal Judgment Prediction via Topological Learning**Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.*2018 · 480 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/)
1007. [**The Reliability of a Dialogue Structure Coding Scheme**Jean Carletta, Amy Isard, Stephen Isard, et al.*1997 · 480 citations*](https://md.research.elamur.ai/free/en/papers/carletta-1997-reliability-dialogue-structure-coding-scheme/)
1008. [**GLaM: Efficient Scaling of Language Models with Mixture-of-Experts**Nan Du, Yanping Huang, Andrew M. Dai, et al.*2021 · 479 citations*](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/)
1009. [**ToTTo: A Controlled Table-To-Text Generation Dataset**Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.*2020 · 479 citations*](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/)
1010. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/)
1011. [**UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing**Milan Straka, Jan Hajič, Jana Straková*2016 · 478 citations*](https://md.research.elamur.ai/free/en/papers/straka-2016-udpipe-trainable-pipeline-processing-conll/)
1012. [**Enabling Large Language Models to Generate Text with Citations**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 477 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)
1013. [**ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.*2022 · 477 citations*](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/)
1014. [**Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 477 citations*](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/)
1015. [**Information Fusion in the Context of Multi-Document Summarization**Regina Barzilay, Kathleen R. McKeown, Michael Elhadad*1999 · 477 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-1999-information-fusion-context-multi-document/)
1016. [**DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature**Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.*2023 · 475 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2023-detectgpt-zero-shot-machine-generated/)
1017. [**Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 474 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/)
1018. [**Syntax Augmented Machine Translation via Chart Parsing**Andreas Zollmann, Ashish Venugopal*2006 · 474 citations*](https://md.research.elamur.ai/free/en/papers/zollmann-2006-syntax-augmented-machine-translation-chart/)
1019. [**A Maximum Entropy Approach to Identifying Sentence Boundaries**Jeffrey C. Reynar, Adwait Ratnaparkhi*1997 · 474 citations*](https://md.research.elamur.ai/free/en/papers/reynar-1997-maximum-entropy-approach-identifying-sentence/)
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