{"list":"other","total":60,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1907.11692","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","created":"2019-07-26","cited_by_count":13372},{"id":"1904.09675","title":"BERTScore: Evaluating Text Generation with BERT","created":"2019-04-21","cited_by_count":5512},{"id":"1911.02116","title":"Unsupervised Cross-lingual Representation Learning at Scale","created":"2019-11-05","cited_by_count":3935},{"id":"1606.08415","title":"Gaussian Error Linear Units (GELUs)","created":"2016-06-27","cited_by_count":3502},{"id":"1906.08237","title":"XLNet: Generalized Autoregressive Pretraining for Language Understanding","created":"2019-06-19","cited_by_count":2811},{"id":"1909.11942","title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations","created":"2019-09-26","cited_by_count":2790},{"id":"1412.3555","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","created":"2014-12-11","cited_by_count":2367},{"id":"1910.03771","title":"HuggingFace's Transformers: State-of-the-art Natural Language Processing","created":"2019-10-09","cited_by_count":2218},{"id":"1808.06226","title":"SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing","created":"2018-08-19","cited_by_count":1989},{"id":"1901.02860","title":"Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context","created":"2019-01-09","cited_by_count":1850},{"id":"2010.11934","title":"mT5: A massively multilingual pre-trained text-to-text transformer","created":"2020-10-22","cited_by_count":1818},{"id":"1609.08144","title":"Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation","created":"2016-09-26","cited_by_count":1475},{"id":"1909.10351","title":"TinyBERT: Distilling BERT for Natural Language Understanding","created":"2019-09-23","cited_by_count":1167},{"id":"1901.07291","title":"Cross-lingual Language Model Pretraining","created":"2019-01-22","cited_by_count":1090},{"id":"2001.08210","title":"Multilingual Denoising Pre-training for Neural Machine Translation","created":"2020-01-22","cited_by_count":1035},{"id":"1911.00536","title":"DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation","created":"2019-11-01","cited_by_count":842},{"id":"1810.04650","title":"Multi-Task Learning as Multi-Objective Optimization","created":"2018-10-10","cited_by_count":821},{"id":"2004.09095","title":"The State and Fate of Linguistic Diversity and Inclusion in the NLP World","created":"2020-04-20","cited_by_count":798},{"id":"1710.03957","title":"DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset","created":"2017-10-11","cited_by_count":652},{"id":"1810.02508","title":"MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations","created":"2018-10-05","cited_by_count":643},{"id":"2007.01852","title":"Language-agnostic BERT Sentence Embedding","created":"2020-07-03","cited_by_count":627},{"id":"1812.10464","title":"Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond","created":"2018-12-26","cited_by_count":434},{"id":"1703.03130","title":"A Structured Self-attentive Sentence Embedding","created":"2017-03-09","cited_by_count":318},{"id":"2012.15613","title":"How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models","created":"2020-12-31","cited_by_count":318},{"id":"2006.14799","title":"Evaluation of Text Generation: A Survey","created":"2020-06-26","cited_by_count":277},{"id":"1309.4168","title":"Exploiting Similarities among Languages for Machine Translation","created":"2013-09-17","cited_by_count":191},{"id":"1908.11540","title":"DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation","created":"2019-08-30","cited_by_count":186},{"id":"1912.07840","title":"Cross-Lingual Ability of Multilingual BERT: An Empirical Study","created":"2019-12-17","cited_by_count":182},{"id":"1506.08909","title":"The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems","created":"2015-06-30","cited_by_count":172},{"id":"1912.05372","title":"FlauBERT: Unsupervised Language Model Pre-training for French","created":"2019-12-11","cited_by_count":153},{"id":"1706.04902","title":"A Survey Of Cross-lingual Word Embedding Models","created":"2017-06-15","cited_by_count":143},{"id":"1905.06566","title":"HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization","created":"2019-05-16","cited_by_count":121},{"id":"2004.12376","title":"GLUECoS : An Evaluation Benchmark for Code-Switched NLP","created":"2020-04-26","cited_by_count":102},{"id":"1911.03688","title":"ConveRT: Efficient and Accurate Conversational Representations from Transformers","created":"2019-11-09","cited_by_count":95},{"id":"2103.13309","title":"Are Multilingual Models Effective in Code-Switching?","created":"2021-03-24","cited_by_count":56},{"id":"1904.03371","title":"Evaluating Coherence in Dialogue Systems using Entailment","created":"2019-04-06","cited_by_count":53},{"id":"1904.02793","title":"Affect-Driven Dialog Generation","created":"2019-04-04","cited_by_count":50},{"id":"1906.01603","title":"Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study","created":"2019-06-04","cited_by_count":47},{"id":"2105.02685","title":"A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations","created":"2021-05-06","cited_by_count":37},{"id":"2009.11152","title":"Hierarchical Pre-training for Sequence Labelling in Spoken Dialog","created":"2020-09-23","cited_by_count":36},{"id":"1906.00414","title":"Pretraining Methods for Dialog Context Representation Learning","created":"2019-06-02","cited_by_count":35},{"id":"2006.06110","title":"Towards Unified Dialogue System Evaluation: A Comprehensive Analysis of Current Evaluation Protocols","created":"2020-06-10","cited_by_count":35},{"id":"2104.08006","title":"ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation","created":"2021-04-16","cited_by_count":31},{"id":"2002.08801","title":"Guiding attention in Sequence-to-sequence models for Dialogue Act prediction","created":"2020-02-20","cited_by_count":26},{"id":"2103.09593","title":"Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots","created":"2021-03-17","cited_by_count":23},{"id":"2003.11593","title":"Heavy-tailed Representations, Text Polarity Classification & Data Augmentation","created":"2020-03-25","cited_by_count":20},{"id":"1809.04686","title":"Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation","created":"2018-09-12","cited_by_count":19},{"id":"1711.05568","title":"Dialogue Act Recognition via CRF-Attentive Structured Network","created":"2017-11-15","cited_by_count":18},{"id":"1410.2455","title":"BilBOWA: Fast Bilingual Distributed Representations without Word Alignments","created":"2014-10-09","cited_by_count":16},{"id":"1806.05997","title":"A Dataset for Building Code-Mixed Goal Oriented Conversation Systems","created":"2018-06-15","cited_by_count":16},{"id":"2009.11340","title":"The importance of fillers for text representations of speech transcripts","created":"2020-09-23","cited_by_count":15},{"id":"1908.11216","title":"From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining","created":"2019-08-29","cited_by_count":14},{"id":"1605.05414","title":"On the Evaluation of Dialogue Systems with Next Utterance Classification","created":"2016-05-18","cited_by_count":8},{"id":"2006.01594","title":"Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders","created":"2020-05-29","cited_by_count":8},{"id":"1810.09154","title":"A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification","created":"2018-10-22","cited_by_count":7},{"id":"1805.06280","title":"A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks","created":"2018-05-16","cited_by_count":5},{"id":"1907.12316","title":"Hierarchical Multi-Label Dialog Act Recognition on Spanish Data","created":"2019-07-29","cited_by_count":1}],"next_cursor":null}