---
title: "Computer Science — papers, page 13 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 13 of 92 · 1126–1225, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/13/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/13/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / page 13

# 🖥️ Computer Science

9,085 papers · page 13 of 92 · 1126–1225 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/12/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [10](https://md.research.elamur.ai/free/en/shelves/computer-science/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/computer-science/page/11/) [12](https://md.research.elamur.ai/free/en/shelves/computer-science/page/12/) **13** [14](https://md.research.elamur.ai/free/en/shelves/computer-science/page/14/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/page/20/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/14/)

1126. [**Fact Checking: Task definition and dataset construction**Andreas Vlachos, Sebastian Riedel*2014 · 523 citations*](https://md.research.elamur.ai/free/en/papers/vlachos-2014-fact-checking-task-definition-dataset/)
1127. [**Using Semantic Roles to Improve Question Answering**Dan Shen, Mirella Lapata*2007 · 523 citations*](https://md.research.elamur.ai/free/en/papers/shen-2007-semantic-roles-improve-question-answering/)
1128. [**Unsupervised Multilingual Sentence Boundary Detection**Tibor Kiss, Jan Strunk*2006 · 523 citations*](https://md.research.elamur.ai/free/en/papers/kiss-2006-unsupervised-multilingual-sentence-boundary-detection/)
1129. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 522 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
1130. [**Stance Detection with Bidirectional Conditional Encoding**Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.*2016 · 522 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2016-stance-detection-bidirectional-conditional-encoding/)
1131. [**Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search**Chris Hokamp, Qun Liu*2017 · 520 citations*](https://md.research.elamur.ai/free/en/papers/hokamp-2017-lexically-constrained-decoding-sequence-generation/)
1132. [**Using Corpus Statistics and WordNet Relations for Sense Identification**Claudia Leacock, Martin Chodorow, George A. Miller*1998 · 520 citations*](https://md.research.elamur.ai/free/en/papers/leacock-1998-corpus-statistics-wordnet-relations-sense/)
1133. [**How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence**Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.*2020 · 518 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/)
1134. [**The Social Impact of Natural Language Processing**Dirk Hovy, Shannon L. Spruit*2016 · 518 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2016-social-impact-natural-language-processing/)
1135. [**Deep Visual-Semantic Alignments for Generating Image Descriptions**Andrej Karpathy, Li Fei-Fei*2014 · 518 citations*](https://md.research.elamur.ai/free/en/papers/karpathy-2014-deep-visual-semantic-alignments-generating/)
1136. [**Instruction Tuning for Large Language Models: A Survey**Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.*2023 · 517 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/)
1137. [**Assessing BERT's Syntactic Abilities**Yoav Goldberg*2019 · 517 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2019-assessing-bert-s-syntactic-abilities/)
1138. [**Breaking NLI Systems with Sentences that Require Simple Lexical Inferences**Max Glockner, Vered Shwartz, Yoav Goldberg*2018 · 517 citations*](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/)
1139. [**Identifying Argumentative Discourse Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 517 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/)
1140. [**Automatic classification of citation function**Simone Teufel, Advaith Siddharthan, Dan Tidhar*2006 · 517 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2006-automatic-classification-citation-function/)
1141. [**Crowdsourcing Multiple Choice Science Questions**Johannes Welbl, Nelson F. Liu, Matt Gardner*2017 · 516 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2017-crowdsourcing-multiple-choice-science-questions/)
1142. [**DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations**John Giorgi, Osvald Nitski, Bo Wang, et al.*2021 · 515 citations*](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/)
1143. [**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/)
1144. [**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/)
1145. [**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/)
1146. [**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/)
1147. [**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/)
1148. [**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/)
1149. [**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/)
1150. [**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/)
1151. [**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/)
1152. [**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/)
1153. [**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/)
1154. [**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/)
1155. [**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/)
1156. [**Benchmarking Aggression Identification in Social Media**Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, et al.*2018 · 510 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2018-benchmarking-aggression-identification-social-media/)
1157. [**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/)
1158. [**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/)
1159. [**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/)
1160. [**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/)
1161. [**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/)
1162. [**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/)
1163. [**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/)
1164. [**SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering**John Yang, Carlos E. Jimenez, Alexander Wettig, et al.*2024 · 507 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/)
1165. [**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/)
1166. [**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/)
1167. [**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/)
1168. [**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/)
1169. [**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/)
1170. [**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/)
1171. [**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/)
1172. [**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/)
1173. [**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/)
1174. [**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/)
1175. [**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/)
1176. [**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/)
1177. [**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/)
1178. [**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/)
1179. [**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/)
1180. [**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/)
1181. [**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/)
1182. [**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/)
1183. [**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/)
1184. [**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/)
1185. [**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/)
1186. [**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/)
1187. [**Deep Learning Scaling is Predictable, Empirically**Joel Hestness, Sharan Narang, Newsha Ardalani, et al.*2017 · 497 citations*](https://md.research.elamur.ai/free/en/papers/hestness-2017-deep-learning-scaling-predictable-empirically/)
1188. [**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/)
1189. [**I don't believe in word senses**Adam Kilgarriff*1997 · 497 citations*](https://md.research.elamur.ai/free/en/papers/kilgarriff-1997-word-senses/)
1190. [**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/)
1191. [**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/)
1192. [**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/)
1193. [**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/)
1194. [**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/)
1195. [**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/)
1196. [**CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality**Wenmeng Yu, Hua Xu, Fanyang Meng, et al.*2020 · 493 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-ch-sims-chinese-multimodal-sentiment/)
1197. [**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/)
1198. [**SemEval-2015 Task 10: Sentiment Analysis in Twitter**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 492 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/)
1199. [**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/)
1200. [**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/)
1201. [**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/)
1202. [**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/)
1203. [**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/)
1204. [**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/)
1205. [**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/)
1206. [**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/)
1207. [**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/)
1208. [**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/)
1209. [**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/)
1210. [**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/)
1211. [**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/)
1212. [**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/)
1213. [**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/)
1214. [**DyNet: The Dynamic Neural Network Toolkit**Graham Neubig, Chris Dyer, Yoav Goldberg, et al.*2017 · 487 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2017-dynet-dynamic-neural-network-toolkit/)
1215. [**EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks**Muhammad Abdul-Mageed, Lyle Ungar*2017 · 487 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2017-emonet-fine-grained-emotion-detection/)
1216. [**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/)
1217. [**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/)
1218. [**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/)
1219. [**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/)
1220. [**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/)
1221. [**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/)
1222. [**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/)
1223. [**Regularizing Neural Networks by Penalizing Confident Output Distributions**Gabriel Pereyra, George Tucker, Jan Chorowski, et al.*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/pereyra-2017-regularizing-neural-networks-penalizing-confident/)
1224. [**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/)
1225. [**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/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/12/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [10](https://md.research.elamur.ai/free/en/shelves/computer-science/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/computer-science/page/11/) [12](https://md.research.elamur.ai/free/en/shelves/computer-science/page/12/) **13** [14](https://md.research.elamur.ai/free/en/shelves/computer-science/page/14/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/page/20/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/14/)