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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 Neural Coreference Resolution for Arabic ... The 28th International Conference on Computational Linguistics 2020; Aloraini, Abdulrahman; Poesio, Massimo. - : Underline Science Inc., 2020 BASE Show details 2 Enhanced Labelling in Active Learning for Coreference Resolution ... The 28th International Conference on Computational Linguistics 2020; Alex, Beatrice; Bach, Benjamin. - : Underline Science Inc., 2020 BASE Show details 3 Predicting Coreference in Abstract Meaning Representations ... The 28th International Conference on Computational Linguistics 2020; Anikina, Tatiana; Koller, Alexander. - : Underline Science Inc., 2020 BASE Show details 4 NILC at SR'20: Exploring Pre-Trained Models in Surface Realisation ... The 28th International Conference on Computational Linguistics 2020; Pardo, Thiago; Sobrevilla Cabezudo, Marco Antonio. - : Underline Science Inc., 2020 BASE Show details 5 Persuasiveness of News Editorials depending on Ideology and Personality ... The 28th International Conference on Computational Linguistics 2020; Al-Khatib, Khalid; El Baff, Roxanne. - : Underline Science Inc., 2020 BASE Show details 6 E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks ... The 28th International Conference on Computational Linguistics 2020; Stylianou, Nikolaos; Vlahavas, Ioannis. - : Underline Science Inc., 2020 Abstract: In the last decade, the field of Neural Language Modelling has witnessed enormous changes, with the development of novel models through the use of Transformer architectures. However, even these models struggle to model long sequences due to memory constraints and increasing computational complexity. Coreference annotations over the training data can provide context far beyond the modelling limitations of such language models. In this paper we present an extension over the Transformer-block architecture used in neural language models, specifically in GPT2, in order to incorporate entity annotations during training. Our model, GPT2E, extends the Transformer layers architecture of GPT2 to Entity-Transformers, an architecture designed to handle coreference information when present. To that end, we achieve richer representations for entity mentions, with insignificant training cost. We show the comparative model performance between GPT2 and GPT2E in terms of Perplexity on the CoNLL 2012 and LAMBADA datasets as ... Keyword: Computer and Information Science; Digital Media; Engineering; Information and Knowledge Engineering; Natural Language Processing; Neural Network URL: https://underline.io/lecture/6573-e.t.-entity-transformers.-coreference-augmented-neural-language-model-for-richer-mention-representations-via-entity-transformer-blocks https://dx.doi.org/10.48448/payz-qm06 BASE Hide details 7 TwiConv: A Coreference-annotated Corpus of Twitter Conversations ... The 28th International Conference on Computational Linguistics 2020; Aktas, Berfin; Kohnert, Annalena. - : Underline Science Inc., 2020 BASE Show details 8 Resolving Pronouns in Twitter Streams: Context can Help! ... The 28th International Conference on Computational Linguistics 2020; Andy, Anietie; Callison-Burch, Chris. - : Underline Science Inc., 2020 BASE Show details 9 Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ... The 28th International Conference on Computational Linguistics 2020; Bassignana, Elisa; Nissim, Malvina. - : Underline Science Inc., 2020 BASE Show details 10 Surface Realization Using Pretrained Language Models ... The 28th International Conference on Computational Linguistics 2020; Farahnak, Farhood; Fevens, Thomas. - : Underline Science Inc., 2020 BASE Show details 11 IMSurReal Too: IMS at the Surface Realization Shared Task 2020 ... The 28th International Conference on Computational Linguistics 2020; Kuhn, Jonas; Tannert, Simon. - : Underline Science Inc., 2020 BASE Show details 12 Multilingual Emoticon Prediction of Tweets about COVID-19 ... The 28th International Conference on Computational Linguistics 2020; Izbicki, Mike; Stoikos, Stefanos. - : Underline Science Inc., 2020 BASE Show details 13 Coreference Strategies in English-German Translation ... The 28th International Conference on Computational Linguistics 2020; Hardmeier, Christian; Krielke, Pauline. - : Underline Science Inc., 2020 BASE Show details 14 BME-TUW at SR’20: Lexical grammar induction for surface realization ... The 28th International Conference on Computational Linguistics 2020; Acs, Judit; Gemes, Kinga. - : Underline Science Inc., 2020 BASE Show details 15 It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution? ... The 28th International Conference on Computational Linguistics 2020; De Clercq, Orphee; Hoste, Veronique. - : Underline Science Inc., 2020 BASE Show details 16 Integrating knowledge graph embeddings to improve mention representation for bridging anaphora resolution ... The 28th International Conference on Computational Linguistics 2020; Denis, Pascal; Pandit, Onkar. - : Underline Science Inc., 2020 BASE Show details 17 Partially-supervised Mention Detection ... The 28th International Conference on Computational Linguistics 2020; Miculicich, Lesly. - : Underline Science Inc., 2020 BASE Show details 18 Anaphoric Zero Pronoun Identification: A Multilingual Approach ... The 28th International Conference on Computational Linguistics 2020; Aloraini, Abdulrahman; Poesio, Massimo. - : Underline Science Inc., 2020 BASE Show details

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