---
title: "Artificial Intelligence — papers, page 62 — Elamur Research"
description: "Artificial Intelligence: 8,886 papers of the Elamur Research library · page 62 of 90 · 6026–6125, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/62/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/62/)

[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/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 62

# 🤖 Artificial Intelligence

8,886 papers · page 62 of 90 · 6026–6125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers (8,886)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/61/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [60](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/60/) [61](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/61/) **62** [63](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/63/) … [70](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/63/)

6026. [**Learning Scalar Adjective Intensity from Paraphrases**Anne Cocos, Skyler Wharton, Ellie Pavlick, et al.*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/cocos-2018-learning-scalar-adjective-intensity-paraphrases/)
6027. [**Lexico-acoustic Neural-based Models for Dialog Act Classification**Daniel Ortega, Ngoc Thang Vu*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ortega-2018-lexico-acoustic-neural-based-models/)
6028. [**Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena**Ina Roesiger, Sarah Schulz, Nils Reiter*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/roesiger-2018-coreference-literary-text-analyzing-domain/)
6029. [**Word Embeddings-Based Uncertainty Detection in Financial Disclosures**Christoph Kilian Theil, Sanja Štajner, Heiner Stuckenschmidt*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/theil-2018-word-embeddings-based-uncertainty-detection/)
6030. [**A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax**Christo Kirov, John Sylak-Glassman, Rebecca Knowles, et al.*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/kirov-2017-rich-morphological-tagger-english-exploring/)
6031. [**Revisiting the ISO standard for dialogue act annotation**Harry Bunt, Volha Petukhova, Alex Chengyu Fang*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2017-revisiting-iso-standard-dialogue-act/)
6032. [**Stylometric Analysis of Early Modern Period English Plays**Mark Eisen, Santiago Segarra, Gabriel Egan, et al.*2016 · 21 citations*](https://md.research.elamur.ai/free/en/papers/eisen-2016-stylometric-analysis-early-modern-period/)
6033. [**A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication**Byron C. Wallace, Thomas A. Trikalinos, M. Barton Laws, et al.*2013 · 21 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2013-generative-joint-additive-sequential-model/)
6034. [**Improving the Quality of Minority Class Identification in Dialog Act Tagging**Adinoyi Omuya, Vinodkumar Prabhakaran, Owen Rambow*2013 · 21 citations*](https://md.research.elamur.ai/free/en/papers/omuya-2013-improving-quality-minority-class-identification/)
6035. [**Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features**Yuval Marton, Nizar Habash, Owen Rambow*2011 · 21 citations*](https://md.research.elamur.ai/free/en/papers/marton-2011-improving-arabic-dependency-parsing-form/)
6036. [**Exploiting Rich Features for Detecting Hedges and their Scope**Xinxin Li, Jianping Shen, Xiang Gao, et al.*2010 · 21 citations*](https://md.research.elamur.ai/free/en/papers/li-2010-exploiting-rich-features-detecting-hedges/)
6037. [**Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew**Reut Tsarfaty, Khalil Sima'an*2010 · 21 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-modeling-morphosyntactic-agreement-constituency-based/)
6038. [**Presupposition Accommodation as Exception Handling**Philippe de Groote, Ekaterina Lebedeva*2010 · 21 citations*](https://md.research.elamur.ai/free/en/papers/groote-2010-presupposition-accommodation-as-exception-handling/)
6039. [**A surface-based approach to identifying discourse markers and elementary textual units in unrestricted texts**Daniel Marcu*1998 · 21 citations*](https://md.research.elamur.ai/free/en/papers/marcu-1998-surface-based-approach-identifying-discourse/)
6040. [**Description of the UPENN CAMP System as Used for Coreference**Breck Baldwin, Tom Morton, Amit Bagga, et al.*1998 · 21 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-1998-description-upenn-camp-system-as/)
6041. [**Capturing Language-Specific Semantic Distinctions in Interlingua-based MT**James Barnett, Inderjeet Mani, Elaine Rich, et al.*1991 · 21 citations*](https://md.research.elamur.ai/free/en/papers/barnett-1991-capturing-language-specific-semantic-distinctions/)
6042. [**SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection**Mattia Samory, Felix Soldner, Veronika Batzdorfer*2026 · 20 citations*](https://md.research.elamur.ai/free/en/papers/samory-2026-semeval-2026-task-10-psycomark/)
6043. [**CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models**Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/)
6044. [**LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages**Jared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/coleman-2024-llm-assisted-rule-based-machine/)
6045. [**Semantics of Multiword Expressions in Transformer-Based Models: A Survey**Filip Miletić, Sabine Schulte im Walde*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/miletic-2024-semantics-multiword-expressions-transformer-based/)
6046. [**DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules**Yanchen Liu, William Held, Diyi Yang*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/)
6047. [**Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis**Daniela Teodorescu, Saif Mohammad*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/teodorescu-2023-evaluating-emotion-arcs-across-languages/)
6048. [**A Double-Graph Based Framework for Frame Semantic Parsing**Ce Zheng, Xudong Chen, Runxin Xu, et al.*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-double-graph-based-framework-frame/)
6049. [**Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts**Nghia T. Le, Fan Bai, Alan Ritter*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/le-2022-few-shot-anaphora-resolution-scientific/)
6050. [**GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing**Siyao Peng, Yang Janet Liu, Amir Zeldes*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/peng-2022-gcdt-chinese-rst-treebank-multigenre/)
6051. [**stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets**Mengfei Yuan, Zhou Mengyuan, Lianxin Jiang, et al.*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2022-stce-semeval-2022-task-6/)
6052. [**Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning**Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher*2021 · 20 citations*](https://md.research.elamur.ai/free/en/papers/abandah-2021-correcting-arabic-soft-spelling-mistakes/)
6053. [**The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods**Xian Shi, Fan Yu, Yizhou Lu, et al.*2021 · 20 citations*](https://md.research.elamur.ai/free/en/papers/shi-2021-accented-english-speech-recognition-challenge/)
6054. [**Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods**Shao-Wei Fan Jiang, Bi-Cheng Yan, Tien-Hong Lo, et al.*2021 · 20 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/)
6055. [**Cross-lingual Zero Pronoun Resolution**Abdulrahman Aloraini, Massimo Poesio*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2020-cross-lingual-zero-pronoun-resolution/)
6056. [**Hybrid Enhanced Universal Dependencies Parsing**Johannes Heinecke*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/heinecke-2020-hybrid-enhanced-universal-dependencies-parsing/)
6057. [**KoBE: Knowledge-Based Machine Translation Evaluation**Zorik Gekhman, Roee Aharoni, Genady Beryozkin, et al.*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/gekhman-2020-kobe-knowledge-based-machine-translation/)
6058. [**On the Frailty of Universal POS Tags for Neural UD Parsers**Mark Anderson, Carlos Gómez-Rodríguez*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2020-frailty-universal-pos-tags-neural/)
6059. [**Pragmatic Issue-Sensitive Image Captioning**Allen Nie, Reuben Cohn-Gordon, Christopher Potts*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/nie-2020-pragmatic-issue-sensitive-image-captioning/)
6060. [**pyBART: Evidence-based Syntactic Transformations for IE**Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/tiktinsky-2020-pybart-evidence-based-syntactic-transformations/)
6061. [**An Arabic Dependency Treebank in the Travel Domain**Dima Taji, Jamila El Gizuli, Nizar Habash*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/taji-2019-arabic-dependency-treebank-travel-domain/)
6062. [**Deep Cross-Lingual Coreference Resolution for Less-Resourced Languages: The Case of Basque**Gorka Urbizu, Ander Soraluze, Olatz Arregi*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/urbizu-2019-deep-cross-lingual-coreference-resolution/)
6063. [**Designing a Symbolic Intermediate Representation for Neural Surface Realization**Henry Elder, Jennifer Foster, James Barry, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/elder-2019-designing-symbolic-intermediate-representation-neural/)
6064. [**Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models**Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/torregrosa-2019-leveraging-rule-based-machine-translation/)
6065. [**Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection**Nafise Sadat Moosavi, Leo Born, Massimo Poesio, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2019-automatically-extracted-minimum-spans-disentangle/)
6066. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
6067. [**Spelling Normalization of Historical Documents by Using a Machine Translation Approach**Miguel Domingo, Francisco Casacuberta*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/domingo-2018-spelling-normalization-historical-documents-machine/)
6068. [**Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities**Yulia Grishina, Manfred Stede*2017 · 20 citations*](https://md.research.elamur.ai/free/en/papers/grishina-2017-multi-source-annotation-projection-coreference/)
6069. [**Unsupervised AMR-Dependency Parse Alignment**Wei-Te Chen, Martha Palmer*2017 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-unsupervised-amr-dependency-parse-alignment/)
6070. [**Coreference in Wikipedia: Main Concept Resolution**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/)
6071. [**Chinese Event Coreference Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers**Chen Chen, Vincent Ng*2015 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-chinese-event-coreference-resolution-unsupervised/)
6072. [**A Generic Anaphora Resolution Engine for Indian Languages**Sobha Lalitha Devi, Vijay Sundar Ram, Pattabhi RK Rao*2014 · 20 citations*](https://md.research.elamur.ai/free/en/papers/devi-2014-generic-anaphora-resolution-engine-indian/)
6073. [**Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish**Michael Elhadad, Sabino Miranda-Jiménez, Josef Steinberger, et al.*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/elhadad-2013-multi-document-multilingual-summarization-corpus/)
6074. [**Multimodality and Dialogue Act Classification in the RoboHelper Project**Lin Chen, Barbara Di Eugenio*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2013-multimodality-dialogue-act-classification-robohelper/)
6075. [**Annotating the Focus of Negation in terms of Questions Under Discussion**Pranav Anand, Craig Martell*2012 · 20 citations*](https://md.research.elamur.ai/free/en/papers/anand-2012-annotating-focus-negation-terms-questions/)
6076. [**Syntactic annotation of spontaneous speech: application to call-center conversation data**Thierry Bazillon, Melanie Deplano, Frederic Bechet, et al.*2012 · 20 citations*](https://md.research.elamur.ai/free/en/papers/bazillon-2012-syntactic-annotation-spontaneous-speech-application/)
6077. [**A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models**Dingcheng Li, Tim Miller, William Schuler*2011 · 20 citations*](https://md.research.elamur.ai/free/en/papers/li-2011-pronoun-anaphora-resolution-system-based/)
6078. [**Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection**Marek Rei, Ted Briscoe*2010 · 20 citations*](https://md.research.elamur.ai/free/en/papers/rei-2010-combining-manual-rules-supervised-learning/)
6079. [**A Probabilistic Model for Associative Anaphora Resolution**Ryohei Sasano, Sadao Kurohashi*2009 · 20 citations*](https://md.research.elamur.ai/free/en/papers/sasano-2009-probabilistic-model-associative-anaphora-resolution/)
6080. [**Machine-learned contexts for linguistic operations in German sentence realization**Michael Gamon, Eric Ringger, Simon Corston-Oliver, et al.*2002 · 20 citations*](https://md.research.elamur.ai/free/en/papers/gamon-2002-machine-learned-contexts-linguistic-operations/)
6081. [**Generation from Lexical Conceptual Structures**David Traum, Nizar Habash*2000 · 20 citations*](https://md.research.elamur.ai/free/en/papers/traum-2000-generation-lexical-conceptual-structures/)
6082. [**An Efficient Interlingua Translation System for Multi-lingual Document Production**Teruko Mitamura, Eric H. Nyberg, Jaime G. Carbonell*1991 · 20 citations*](https://md.research.elamur.ai/free/en/papers/mitamura-1991-efficient-interlingua-translation-system-multi/)
6083. [**Inherently Reversible Grammars, Logic Programming and Computability**Marc Dymetman*1991 · 20 citations*](https://md.research.elamur.ai/free/en/papers/dymetman-1991-inherently-reversible-grammars-logic-programming/)
6084. [**On Knowledge-Based Machine Translation**Sergei Nirenburg, Victor Raskin, Allen Tucker*1986 · 20 citations*](https://md.research.elamur.ai/free/en/papers/nirenburg-1986-knowledge-based-machine-translation/)
6085. [**Transfer and MT Modularity**Pierre Isabelle, Elliott Macklovitch*1986 · 20 citations*](https://md.research.elamur.ai/free/en/papers/isabelle-1986-transfer-mt-modularity/)
6086. [**Multilingual and Explainable Text Detoxification with Parallel Corpora**Daryna Dementieva, Nikolay Babakov, Amit Ronen, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/dementieva-2025-multilingual-explainable-text-detoxification-parallel/)
6087. [**Can we obtain significant success in RST discourse parsing by using Large Language Models?**Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/)
6088. [**Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models**Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/min-2024-synergetic-event-understanding-collaborative-approach/)
6089. [**Connective Prediction for Implicit Discourse Relation Recognition via Knowledge Distillation**Hongyi Wu, Hao Zhou, Man Lan, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-connective-prediction-implicit-discourse-relation/)
6090. [**Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/)
6091. [**Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition**Haodong Zhao, Ruifang He, Mengnan Xiao, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-infusing-hierarchical-guidance-into-prompt/)
6092. [**Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection**Erik Arakelyan, Arnav Arora, Isabelle Augenstein*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/)
6093. [**A Survey on Automated Sarcasm Detection on Twitter**Bleau Moores, Vijay Mago*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/moores-2022-survey-automated-sarcasm-detection-twitter/)
6094. [**Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language**Oussama Boucherit, Kheireddine Abainia*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/boucherit-2022-offensive-language-detection-under-resourced/)
6095. [**Predicting scalar diversity with context-driven uncertainty over alternatives**Jennifer Hu, Roger Levy, Sebastian Schuster*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/)
6096. [**Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution**Connor Baumler, Rachel Rudinger*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/baumler-2022-recognition-they-them-as-singular/)
6097. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/)
6098. [**A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection**Ting-Wei Wu, Ruolin Su, Biing-Hwang Juang*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-context-aware-hierarchical-bert-fusion/)
6099. [**Ellipsis Resolution as Question Answering: An Evaluation**Rahul Aralikatte, Matthew Lamm, Daniel Hardt, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/aralikatte-2021-ellipsis-resolution-as-question-answering/)
6100. [**Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic**Fatemah Husain, Ozlem Uzuner*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/)
6101. [**Moroccan Dialect -Darija- Open Dataset**Aissam Outchakoucht, Hamza Es-Samaali*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/outchakoucht-2021-moroccan-dialect-darija-open-dataset/)
6102. [**Neural Language Models for Nineteenth-Century English**Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2021-neural-language-models-nineteenth-century/)
6103. [**Robustifying Multi-hop QA through Pseudo-Evidentiality Training**Kyungjae Lee, Seung-won Hwang, Sang-eun Han, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/lee-2021-robustifying-multi-hop-qa-through/)
6104. [**What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/)
6105. [**Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining**Grigorii Guz, Patrick Huber, Giuseppe Carenini*2020 · 19 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-unleashing-power-neural-discourse-parsers/)
6106. [**Context-aware Neural Machine Translation with Coreference Information**Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata, et al.*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/ohtani-2019-context-aware-neural-machine-translation/)
6107. [**Dependency Parsing for Spoken Dialog Systems**Sam Davidson, Dian Yu, Zhou Yu*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2019-dependency-parsing-spoken-dialog-systems/)
6108. [**DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German**Christina Niklaus, Matthias Cetto, André Freitas, et al.*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/niklaus-2019-dissim-discourse-aware-syntactic-text/)
6109. [**Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues**Shachi Paul, Rahul Goel, Dilek Hakkani-Tur*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/paul-2019-towards-universal-dialogue-act-tagging/)
6110. [**A Distributional and Orthographic Aggregation Model for English Derivational Morphology**Daniel Deutsch, John Hewitt, Dan Roth*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/deutsch-2018-distributional-orthographic-aggregation-model-english/)
6111. [**Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒ**Alessandra Teresa Cignarella, Cristina Bosco, Viviana Patti, et al.*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/cignarella-2018-application-analysis-multi-layered-scheme/)
6112. [**BinLin: A Simple Method of Dependency Tree Linearization**Yevgeniy Puzikov, Iryna Gurevych*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/puzikov-2018-binlin-simple-method-dependency-tree/)
6113. [**Deep Neural Networks for Coreference Resolution for Polish**Bartłomiej Nitoń, Paweł Morawiecki, Maciej Ogrodniczuk*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/niton-2018-deep-neural-networks-coreference-resolution/)
6114. [**Detecting Institutional Dialog Acts in Police Traffic Stops**Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, et al.*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/prabhakaran-2018-detecting-institutional-dialog-acts-police/)
6115. [**Semantic Supersenses for English Possessives**Austin Blodgett, Nathan Schneider*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2018-semantic-supersenses-english-possessives/)
6116. [**Universal Dependencies for Amharic**Binyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/seyoum-2018-universal-dependencies-amharic/)
6117. [**RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation**Normunds Gruzitis, Didzis Gosko, Guntis Barzdins*2017 · 19 citations*](https://md.research.elamur.ai/free/en/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/)
6118. [**A Gold Standard for Scalar Adjectives**Bryan Wilkinson, Tim Oates*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wilkinson-2016-gold-standard-scalar-adjectives/)
6119. [**Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification**Dilafruz Amanova, Volha Petukhova, Dietrich Klakow*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/amanova-2016-creating-annotated-dialogue-resources-cross/)
6120. [**Crowdsourced Corpus with Entity Salience Annotations**Milan Dojchinovski, Dinesh Reddy, Tomáš Kliegr, et al.*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/dojchinovski-2016-crowdsourced-corpus-entity-salience-annotations/)
6121. [**Experiments on bridging across languages and genres**Yulia Grishina*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/grishina-2016-experiments-bridging-across-languages-genres/)
6122. [**Improving historical spelling normalization with bi-directional LSTMs and multi-task learning**Marcel Bollmann, Anders Søgaard*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2016-improving-historical-spelling-normalization-bi/)
6123. [**MWEs in Treebanks: From Survey to Guidelines**Victoria Rosén, Koenraad De Smedt, Gyri Smørdal Losnegaard, et al.*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/rosen-2016-mwes-treebanks-survey-guidelines/)
6124. [**The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions**Joachim Daiber, Rob van der Goot*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/daiber-2016-denoised-web-treebank-evaluating-dependency/)
6125. [**The More Antecedents, the Merrier: Resolving Multi-Antecedent Anaphors**Hardik Vala, Andrew Piper, Derek Ruths*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/vala-2016-more-antecedents-merrier-resolving-multi/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/61/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [60](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/60/) [61](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/61/) **62** [63](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/63/) … [70](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/63/)